研究生: |
蔡其瑞 Tsai, Chi-Ruei |
---|---|
論文名稱: |
初始效應與動作技能學習相關之研究 Primacy Effect on General Technology Skill Learning |
指導教授: |
洪榮昭
Hong, Jon-Chao |
學位類別: |
博士 Doctor |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2018 |
畢業學年度: | 106 |
語文別: | 中文 |
論文頁數: | 158 |
中文關鍵詞: | 技能學習 、初始效應 、探究學習 、示範教學 |
英文關鍵詞: | skill learning, primacy effect, inquiry-based learning, shadowing |
DOI URL: | http://doi.org/10.6345/DIS.NTNU.DIE.001.2019.E01 |
論文種類: | 學術論文 |
相關次數: | 點閱:235 下載:14 |
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因應現今創客 (maker) 教育思潮興起,創客通用技術教育也逐受到各界重視。然而,多數學生使用手工具進行基礎加工時,受學習或使用經驗影響,造成工具使用錯誤、加工效率低、危險動作行為等情況,這種由於個體過去學習經驗影響現在學習成效,即過去經驗引起的初始效應。ACT-R理論認為技能學習可分為步驟性知識及理論性知識,並透過認知系統的操作性模組展現技能學習成果。基此,本研究將以線鋸鋸切作業為主題,探討初始效應對動作技能學習之影響,應用探究教學是否能有效改善其技能學習效果,再進一步分析不同性別及學習風格對技能學習成效是否有顯著差異。此外,本研究亦將探討動手做自我效能、後設認知、及動手做信心提升之相關性。研究結果支持探究教學較示範教學更能有效提升曲線鋸切表現,降低初始效應影響,且探究學習的線鋸技能學習成果保留效果較長且平穩。差異分析方面,示範教學組的女生在曲線鋸切表現進步量顯著大於男生;不同認知風格學習者在鋸切表現進步量皆無顯著差異。研究結果顯示,動手做自我效能與後設認知呈正相關、後設認知與動手做信心提升亦呈正相關。最後,基於研究結論,提出本研究之研究貢獻與後續研究建議供參。
People attach the importance to general hands-on making skills because there is a Maker trend in recent years. Primacy effect is caused by people’s prior learning experiences and might affected their learning outcomes. The Adaptive Control of Thought – Rational theory (ACT-R) divided skill learning knowledge into procedural knowledge and declarative knowledge, and people can perform the learning effect through manual module in cognitive system. Thus, the present study explored the primacy effect on hand saw usage, analyzed the learning effect of inquiry-based learning, and compared the differences between different learning styles and different genders. The results indicated that inquiry-based learning can significantly improve the participants’ curve sawing performance, and also significantly decrease in the primacy effect. The study also provided an empirical evidence that the learners who adopt inquiry-based learning may have a long-term learning performance retention than learning by shadowing. The results showed that there has significantly differences in learning progress that female students in shadowing got better progress on sawing a curve line than males in shadowing. According to the result, self-efficacy on hands-on making is positively related to metacognition, and metacognition is also positively related to self-confidence enhancement. Based on the research results, the study proposed the contribution and some suggestions for the future study.
中文部分
Make: Taiwan(2013)。使用手鋸與美工刀的十個小秘訣。取自:http://www.makezine.com.tw/make2599131456/52
卯靜儒、吳宗雄、吳淑娟、李奉儒、李昭華、林麗菊、…謝卓君(譯)(2004)。教育研究法:規劃與評鑑(原作者:Fraenkel, J. R. & Wallen, N. E.)。高雄市:麗文文化事業。(原著出版年:2003)
吳明隆(2008)。SPSS操作與應用問卷統計分析實務。臺北市:五南。
張偉豪(2011)。SEM論文寫作不求人。臺北市:鼎茂。
曹松清(2017年8月10日)。長庚團隊發現新的大腦記憶形成機制。經濟日報。取自:https://money.udn.com/money/story/5723/2635286
陳順宇(2005)。多變量分析。臺北市:華泰。
創意機構設計學習網(2008)。線鋸構造說明。取自:http://pmcl.mt.ntnu.edu.tw/Flan/tool_fretsaw.html
職業安全健康局(2002)。如何正確使用手工具。取自:http://www.oshc.org.hk/oshc_data/files/bulletins/ibsh/2016/ec25.pdf
職業安全健康局、勞工處職業安全及健康部(2013)。小心使用手工具。取自:https://www.labour.gov.hk/tc/public/pdf/os/D/suht.pdf
英文部分
Abdi, A. (2014). The effect of inquiry-based learning method on students' academic achievement in science course. Universal Journal of Educational Research, 2(1), 37-41.
Abraham, A., Dunsky, A., & Dickstein, R. (2017). The effect of motor imagery practice on elevé performance in adolescent female dance students: a randomized controlled trial. Journal of Imagery Research in Sport and Physical Activity, 12(1). Retrieved from: https://www.degruyter.com/view/j/jirspa.2017.12.issue-1/jirspa-2016-0006/jirspa-2016-0006.xml
Abraham, A., Hart, A., Andrade, I., & Hackney, M. E. (2018). Dynamic neuro-cognitive imagery improves mental imagery ability, disease severity, and motor and cognitive functions in people with parkinson’s disease. Neural Plasticity, 2018, 6168507, 1-15. Retrieved from https://www.hindawi.com/journals/np/2018/6168507/cta/
Acar, O., & Patton, B. R. (2012). Argumentation and formal reasoning skills in an argumentation-based guided inquiry course. Procedia-Social and Behavioral Sciences, 46, 4756-4760.
Adami, M. R. (2002). Aqua fitness. NY: DK Publishing.
Adams, J. A. (1971). A closed-loop theory of motor learning. Journal of Motor Behavior, 3, 111-150.
Adams, J. A., & Reynolds, B. (1954). Effect of shift in distribution of practice conditions following interpolated rest. Journal of Experimental Psychology, 47(1), 32-36.
Akın, A. (2007). The development and psychometric charecteristich of the self-confidence scale. Abant İzzel Baysal Üniversitesi Eğitim Fakültesi Dergisi, 7(2), 167-176.
Al-Abood, S. A., Davids, K. F., & Bennett, S. J. (2001). Specificity of task constraints and effects of visual demonstrations and verbal instructions in directing learners’ search during skill acquisition. Journal of Motor Behavior, 33, 295-305.
Ali, A., Pigou, D., Clarke, L., & McLachlan, C. (2017). Literature review on motor skill and physical activity in preschool children in New Zealand. Advances in Physical Education, 7, 10-26.
Anderson J. R. (1990). Cognitive psychology and its implications (3rd ed.). NY: W. H. Freeman and Company.
Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem situations. Psychological review, 94(2), 192-210.
Anderson, J. R. (1993). Rule of the mind. Mahwah, NJ: Lawrence Erlbaum Associates.
Anderson, J. R. (1995). Learning and memory. NY: John Wiley.
Anderson, J. R. (2004). Cognitive psychology and its implications. WH: Henry Holt and Company.
Anderson, J. R. (2007). How can the human mind occur in the physical universe? NY: Oxford University Press.
Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its relation to visual attention. Human-Computer Interaction, 12(4), 439-462.
Annetta, L. A., Slykhuis, D., & Wiebe, E. (2007). Evaluating gender differences of attitudes and perceptions toward powerpoint for preservice science teachers. Eurasia Journal of Mathematics, Science and Technology Education, 3(4), 297-304.
Antonietti, A., & Cantoia, M. (2000). To see a painting versus to walk in a painting: an experiment on sense-making through virtual reality. Computers and Education, 34(3), 213-223.
Arguel, A., Lockyer, L., Lipp, O. V., Lodge, J. M., & Kennedy, G. (2016). Inside out: Detecting learners’ confusion to improve interactive digital learning environments. Journal of Educational Computing Research, 55(4), 526-551.
Armstrong, D., Gosling, A., Weinman, J., & Marteau, T. (1997). The place of inter-rater reliability in qualitative research: An empirical study. Sociology, 31(3), 597-606.
Atkinson, R. C., & Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes1. In K. W. Spence & J. T. Spence (Eds.), The Psychology of learning and motivation: Advances in research and theory. NY: Academic Press.
Baars, B. J. (1988). A cognitive theory of consciousness. MA: Cambridge University Press.
Baars, B. J., & Franklin, S. (2003). How conscious experience and working memory interact. Trends in Cognitive Sciences, 7(4), 166-172.
Bach-y-Rita, P., & Balliet, R. (1987). Recovery from stroke. In Duncan P. W., & Badke M. B. (Eds.), Stroke rehabilitation: The Recovery of Motor Control (pp. 79-108). IL: Year Book Medical Publishers.
Baddeley, A., & Wilson, B. A. (1993). A developmental deficit in short-term phonological memory: Implications for language and reading. Memory, 1(1), 65-78.
Badets, A., & Blandin, Y. (2010). Feedback schedules for motor-skill learning: The similarities and differences between physical and observational practice. Journal of Motor Behavior, 42, 257-268.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117-148.
Bandura, A. (1997). Self-efficacy: The exercise of control. NY: Freeman.
Bardid, F., Lenoir, M., Huyben, F., De Martelaer, K., Seghers, J., Goodway, J. D., & Deconinck, F. J. (2017). The effectiveness of a community-based fundamental motor skill intervention in children aged 3–8 years: Results of the “Multimove for Kids” project. Journal of Science and Medicine in Sport, 20(2), 184-189.
Barnett, L. M., Lai, S. K., Veldman, S. L., Hardy, L. L., Cliff, D. P., Morgan, P. J., ... & Rush, E. (2016). Correlates of gross motor competence in children and adolescents: a systematic review and meta-analysis. Sports Medicine, 46(11), 1663-1688.
Beck, S. R., Apperly, I. A., Chappell, J., Guthrie, C., & Cutting, N. (2011). Making tools isn’t child’s play. Cognition, 119(2), 301-306.
Bénabou, R. J. M., & Tirole, J. (2002). Self-confidence and personal motivation. The Quarterly Journal of Economics, 117, 871-915.
Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31(1), 419-456.
Bentler, P. M. (1995). EQS structural equations program manual. Encino, CA: Multivariate Software.
Besken, M. (2016). Picture-perfect is not perfect for metamemory: Testing the perceptual fluency hypothesis with degraded images. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(9), 1417-1433.
Bingham, G. P., & Pagano, C. C. (1998). The necessity of a perception–action approach to definite distance perception: Monocular distance perception to guide reaching. Journal of Experimental Psychology: Human Perception and Performance, 24(1), 145-168.
Bingham, G. P., Pan, J. S., & Mon-Williams, M. A. (2014). Calibration is both functional and anatomical. Journal of Experimental Psychology: Human Perception and Performance, 40(1), 61-70.
Binkofski, F., & Buxbaum, L. J. (2013). Two action systems in the human brain. Brain and Language, 127(2), 222-229.
Bjork, R. A. (1999). Assessing our own competence: Heuristics and illusions. MA: Cambridge.
Bjork, R. A., Dunlosky, J., & Kornell, N. (2013). Self-regulated learning: Beliefs, techniques, and illusions. Annual Review of Psychology, 64, 417-444.
Bohanek, J. G., & Fivush, R. (2010). Personal narratives, well-being, and gender in adolescence. Cognitive Development, 25(4), 368-379.
Brady, F. (1998). A theoretical and empirical review of the contextual interference effect and the learning of motor skills. Quest, 50(3), 266-293.
Brady, R. A., Peters, B. T., Batson, C. D., Ploutz-Snyder, R., Mulavara, A. P., & Bloomberg, J. J. (2012). Gait adaptability training is affected by visual dependency. Experimental Brain Research, 220(1), 1-9.
Brick, N., MacIntyre, T., & Campbell, M. (2015). Metacognitive processes in the self-regulation of performance in elite endurance runners. Psychology of Sport and Exercise, 19, 1-9.
Brooks, V. B. (1986). The neural basis of motor control. NY: Oxford University Press.
Brown, A. (1958). On the stability of a hydromagnetic prominence model. The Astrophysical Journal, 128, 646-663.
Brown, A. (1987). Metacognition, executive control, self-regulation and other more mysterious mechanisms. In F. E. Weinert, & R.H. Kluwe (Eds.), Metacognition, motivation, and understanding (pp. 21-29). Hillsdale, NJ: Lawrence Erlbaum.
Brown, T. A. (2006). Confirmatory factor analysis for applied research. NY: Guilford Press.
Brucker, B., Ehlis, A. C., Häußinger, F. B., Fallgatter, A. J., & Gerjets, P. (2015). Watching corresponding gestures facilitates learning with animations by activating human mirror-neurons: An fNIRS study. Learning and Instruction, 36, 27-37.
Bruechert, L., Lai, Q., & Shea, C. H. (2003). Reduced knowledge of results frequency enhances error detection. Research Quarterly for Exercise and Sport, 74(4), 467-472.
Buchanan, J. J., & Dean, N. J. (2010). Specificity in practice benefits learning in novice models and variability in demonstration benefits observational practice. Psychological Research, 74(3), 313-326.
Buxbaum, L. J. (2001). Ideomotor apraxia: A all to action. Neurocase, 7(6), 445-458.
Buxbaum, L. J., & Kalénine, S. (2010). Action knowledge, visuomotor activation, and embodiment in the two action systems. Annals of the New York Academy of Sciences, 1191(1), 201-218.
Caine, R. N., & Caine, G. (1991). Making connections: Teaching and the human brain. Menlo Park, CA: Addison-Wesley.
Camelo-Lavadores, A. K., Sánchez-Escobedo, P., & Pinto-Sosa, J. (2017). Academic self-efficacy of high achieving students in Mexico. Journal of Curriculum and Teaching, 6(2), 84-89.
Cameron, C. E., Brock, L. L., Murrah, W. M., Bell, L. H., Worzalla, S. L., Grissmer, D., & Morrison, F. J. (2012). Fine motor skills and executive function both contribute to kindergarten achievement. Child Development, 83(4), 1229-1244.
Carrió, M., Agell, L., Baños, J. E., Moyano, E., Larramona, P., & Pérez, J. (2016). Benefits of using a hybrid problem-based learning curriculum to improve long-term learning acquisition in undergraduate biology education. Federation of European Microbiological Societies Microbiology Letters, 363(15), 1-7.
Cartwright-Hatton, S., & Wells, A. (1997). Beliefs about worry and intrusions: The Meta-Cognitions Questionnaire and its correlates. Journal of Anxiety Disorders, 11(3), 279-296.
Catalano, J. F., & Kleiner, B. M. (1984). Distant transfer in coincident timing as a function of variability of practice. Perceptual and Motor Skills, 58(3), 851-856.
Cattaneo, L., & Rizzolatti, G. (2009). The mirror neuron system. Archives of Neurology, 66, 557-560.
Chan, J. S., & Yan, J. H. (2018). Age-related changes in field dependence-independence and implications for geriatric rehabilitation: A review. Perceptual and Motor Skills, 125(2), 234-250.
Chang, F., Dell, G. S., & Bock, K. (2006). Becoming syntactic. Psychological Review, 113(2), 234-272.
Chang, V., Gütl, C., & Ebner, M. (2018). Trends and Opportunities in Online Learning, MOOCs, and Cloud-Based Tools. In J. Voogt, G. Knezek, R. Christensen, K.W. Lai (Eds.), Second Handbook of Information Technology in Primary and Secondary Education. German: Springer. Retrieved from https://www.researchgate.net/profile/Martin_Ebner2/publication/324597254_Trends_and_Opportunities_in_Online_Learning_MOOCs_and_Cloud-Based_Tools/links/5ad7977faca272fdaf802745/Trends-and-Opportunities-in-Online-Learning-MOOCs-and-Cloud-Based-Tools.pdf
Chappell, J., & Kacelnik, A. (2002). Tool selectivity in a non-primate, the New Caledonian crow (Corvus moneduloides). Animal Cognition, 5(2), 71-78.
Chartrand, T. L., & Bargh, J. A. (1999). The chameleon effect: The perception-behavior link and social interaction. Journal of Personality and Social Psychology, 76(6), 893-910.
Chavosh, M., & Davoudi, M. (2016). The relationship between perceptual learning styles and reading comprehension performance of Iranian EFL learners. International Journal of English Linguistics, 6(3), 61-69.
Chechile, R. A. (2004). New multinomial models for the Chechile–Meyer task. Journal of Mathematical Psychology, 48(6), 364-384.
Chen, S., Huang, C. C., & Chou, T. L. (2016). The effect of metacognitive scaffolds on low achievers’ laboratory learning. International Journal of Science and Mathematics Education, 14(2), 281-296.
Chesney, M. A., Neilands, T. B., Chambers, D. B., Taylor, J. M., & Folkman, S. (2006). A validity and reliability study of the coping self-efficacy scale. British Journal of Health Psychology, 11(3), 421-437.
Cikrikci, Ö., & Odaci, H. (2016). The determinants of life satisfaction among adolescents: the role of metacognitive awareness and self-efficacy. Social Indicators Research, 125(3), 977-990.
Cillessen, A. H., & Mayeux, L. (2004). From censure to reinforcement: Developmental changes in the association between aggression and social status. Child Development, 75(1), 147-163.
Clapp, E. P., & Jimenez, R. L. (2016). Implementing STEAM in maker-centered learning. Psychology of Aesthetics, Creativity, and the Arts, 10(4), 481-491.
Coats, R. O., Pan, J. S., & Bingham, G. P. (2014). Perturbation of perceptual units reveals dominance hierarchy in cross calibration. Journal of Experimental Psychology: Human Perception and Performance, 40(1), 328-341.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
Cohen, J., Jones, W. M., Smith, S., & Calandra, B. (2017). Makification: Towards a framework for leveraging the maker movement in formal education. Journal of Educational Multimedia and Hypermedia, 26(3), 217-229.
Collins, A. M., & Loftus, L. F. (1975). A spreading activation theory of semantic processing. Psychological Review, 82, 407-428.
Compère, L., Rari, E., Gallarda, T., Assens, A., Nys, M., Coussinoux, S., ... Piolino, P. (2018). Gender identity better than sex explains individual differences in episodic and semantic components of autobiographical memory and future thinking. Consciousness and Cognition, 57, 1-19.
Connolly, J. (1989). Social self-efficacy in adolescence: Relations with selfconcept, social adjustment, and mental health. Canadian Journal of Behavioural Science, 21, 258-269.
Conway, M. A. (2001). Sensory–perceptual episodic memory and its context: Autobiographical memory. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 356(1413), 1375-1384.
Cools, W., De Martelaer, K., Samaey, C., & Andries, C. (2009). Movement skill assessment of typically developing preschool children: A review of seven movement skill assessment tools. Journal of Sports Science and Medicine, 8(2), 154-168.
Craft, L. L., Magar, T. M., Becker, B. J., & Feltz, D. L. (2003). The relationship between the Competitive State Anxiety Inventory-2 and sport performance: A meta analysis. Journal of Sport Exercise Psychology, 25, 44-65.
Craik, F. I., & Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior, 11(6), 671-684.
Cratty, B. J. (1973). Movement behavior and motor learning (3rd ed.). Philadelphia: Lea and Febiger.
Cuthbert, P. (2005). The student learning process: Learning styles or learning approaches? Teaching in Higher Education, 10(2), 235-249.
Daempfle, P. A. (2006). The effects of instructional approaches on the improvement of reasoning in introductory college biology: A quantitative review of research. Journal of College Biology Teaching, 32(4), 22-31.
Davis, E. E., Pitchford, N. J., & Limback, E. (2011). The interrelation between cognitive and motor development in typically developing children aged 4-11 years is underpinned by visual processing and fine manual control. British Journal of Psychology, 102(3), 569-584.
Davis, S. E. (2007). Learning styles and memory. Institute for Learning Styles Journal, 1, 46-50.
DeMantaras, R. L., McSherry, D., Bridge, D., Leake, D., Smyth, B., Craw, S.,…Watson, I. (2006). Retrieval, reuse, revision and retention in case-based reasoning. The Knowledge Engineering Review, 20(3), 215-240.
DePasque, S., & Tricomi, E. (2015). Effects of intrinsic motivation on feedback processing during learning. NeuroImage, 119, 175-186.
Deroost, N., & Coomans, D. (2018). Is sequence awareness mandatory for perceptual sequence learning: An assessment using a pure perceptual sequence learning design. Acta Psychologica, 183, 58-65.
Desender, K., Van Opstal, F., Hughes, G., & Van den Bussche, E. (2016). The temporal dynamics of metacognition: Dissociating task-related activity from later metacognitive processes. Neuropsychologia, 82, 54-64.
Dobber, M., Zwart, R., Tanis, M., & van Oers, B. (2017). Literature review: The role of the teacher in inquiry-based education. Educational Research Review, 22, 194-214.
Donchin, O., Francis, J. T., & Shadmehr, R. (2003). Quantifying generalization from trial-by-trial behavior of adaptive systems that learn with basis functions: theory and experiments in human motor control. The Journal of Neuroscience, 23(27), 9032-9045.
Dong, D., & Franklin, S. (2015). A new action execution module for the learning intelligent distribution agent (LIDA): The sensory motor system. Cognitive Computation, 7(5), 552-568.
Drummond, D., Truchot, J., Fabbro, E., Ceccaldi, P. F., Plaisance, P., Tesnière, A., & Hadchouel, A. (2018). Fixed versus variable practice for teaching medical students the management of pediatric asthma exacerbations using simulation. European Journal of Pediatrics, 177(2), 211-219.
Dufour-Lussier, V., Le Ber, F., Lieber, J., & Nauer, E. (2014). Automatic case acquisition from texts for process-oriented case-based reasoning. Information Systems, 40, 153-167.
Dunlosky, J., & Metcalfe, J. (2009). Metacognition. San Francisco: Sage.
Dunn, R., Denig, S., & Lovelace, M. K. (2001). Two sides of the same coin or different strokes for different folks? Teacher Librarian, 28(3), 9-15.
Efklides, A. (2001). Metacognitive experiences in problem solving: Metacognition, motivation, and self-regulation. In A. Efklides, J. Kuhl, & R. M. Sorrentino (Eds.), Trends and prospects in motivation research (pp. 297-323). Dordrecht, Netherlands: Kluwer.
Efklides, A. (2006). Metacognitive experiences: The missing link in the self-regulated learning process. Educational Psychology Review, 18(3), 287-291.
Efklides, A. (2011). Interactions of metacognition with motivation and affect in self – regulated learning: The MASRL model. Educational Psychologist, 46(1), 6-25.
Fabbri-Destro, M, & Rizzolatti, G. (2008). Mirror neurons and mirror systems in monkeys and humans. Physiology, 23, 171-179.
Feghhi, I., Abdoli, B., & Valizadeh, R. (2011). Compare contextual interference effect and practice specificity in learning basketball free throw. Procedia-Social and Behavioral Sciences, 15, 2176-2180.
Felder, R. M., & Brent, R. (2005). Understanding student differences. Journal of Engineering Education, 94(1), 57-72.
Feltz, D. L. (1992). Understanding motivation in sport: A self-efficacy perspective. In G. C. Roberts (Eds.), Motivation in sport and exercise (pp. 107-128). Champaign, IL: Human Kinetics.
Feltz, D. L. (2007). Self-confidence and sports performance. Studies, 33(41), 50-66.
Fine, A. B., & Jaeger, T. F. (2013). Evidence for implicit learning in syntactic comprehension. Cognitive Science, 37(3), 578-591.
Fischer, M., & Sliwka, D. (2018). Confidence in knowledge or confidence in the ability to learn: An experiment on the causal effects of beliefs on motivation. Games and Economic Behavior, 111, 122-142.
Fitt, P. M. & Posner, M. I. (1967). Human performance. CA: Brooks Cole Publishing Company.
Fix, V., & Wiedenbeck, S. (1996). An intelligent tool to aid students in learning second and subsequent programming languages. Computers and Education, 27(2), 71-83.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive – developmental inquiry. American Psychologist, 34, 906-911.
Flavell, J. H. (1987). Speculations about the nature and development of metacognition. In F. E. Weinert & R. H. Kluwe (Eds.), Metacognition, motivation, and understanding. NJ: Lawrence Erlbaum.
Flavell, J. H. (2000). Development of children’s knowledge about the mental world. International Journal of Behavioral Development, 24, 15-23.
Fleeson, W. (2007). Situation-based contingencies underlying trait-content manifestation in behaviour. Journal of Personality, 75, 825-861.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Franklin, S., Baars, B. J., Ramamurthy, U., & Ventura, M. (2005). The role of consciousness in memory. Retrieved from https://s3.amazonaws.com/academia.edu.documents/3242486/The_Role_of_Consciousness_In_Memory.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1535280053&Signature=Bt8MMlv1ux1T9WXzxbU28tWTEhw%3D&response-content-disposition=inline%3B%20filename%3DThe_Role_of_Consciousness_In_Memory.pdf
Fuad, N. M., Zubaidah, S., Mahanal, S., & Suarsini, E. (2017). Improving junior high schools' critical thinking skills based on test three different models of learning. International Journal of Instruction, 10(1), 101-116.
Fuentes, A., & Desrocher, M. (2013). The effects of gender on the retrieval of episodic and semantic components of autobiographical memory. Memory, 21(6), 619-632.
Furtak, E. M., Seidel, T., Iverson, H., & Briggs, D. C. (2012). Experimental and quasi-experimental studies of inquiry-based science teaching: A meta-analysis. Review of Educational Research, 82(3), 300-329.
Gallahue, D. L., Ozmun, J. C., & Goodway, J. (2006). Understanding motor development: Infants, children, adolescents, adults (6th ed.). NY: Mc Graw Hill.
Gartmeier, M., Bauer, J., Gruber, H., & Heid, H. (2010). Workplace errors and negative knowledge in elder care nursing. Human Resource Development International, 13(1), 5-25.
Gentile, A. M. (1972). A working model of skill acquisition with application to teaching. Quest, 17, 3-23.
Gentile, A. M. (2000). Skill acquisition: Action, movement, and neuromotor processes. In J. H. Carr & R.B. Shepherd (Eds.), Movement science: Foundations for physical therapy (2nd ed., pp. 111-187). Rockville, MD: Aspen.
Goldenberg, G. (2009). Apraxia and the parietal lobes. Neuropsychologia, 47(6), 1449-1459.
Goldenberg, G. (2013). Apraxia: The cognitive side of motor control. Oxford: Oxford University Press.
Goodman, J. S., & Wood, R. E. (2009). Faded versus increasing feedback, task variability trajectories, and transfer of training. Human Performance, 22(1), 64-85.
Gorrell, G., Eaglestone, B., Ford, N., Holdridge, P., & Madden, A.D. (2009). Towards metacognitively aware’ IR systems: An initial user study. Journal of Documentation, 65(3), 446-469.
Grimes, C. A., Booth, A., Khokhar, D., West, M., Margerison, C., Campbell, K. J., & Nowson, C. A. (2018). Digital education to limit salt in the home (DELISH) program improves knowledge, self-efficacy, and behaviors among children. Journal of Nutrition Education and Behavior, 50(6), 547-554.
Grysman, A., Fivush, R., Merrill, N. A., & Graci, M. (2016). The influence of gender and gender typicality on autobiographical memory across event types and age groups. Memory and Cognition, 44(6), 856-868.
Guadagnoli, M. A., & Lee, T. D. (2004). Challenge point: A framework for conceptualizing the effects of various practice conditions in motor learning. Journal of Motor Behavior, 36, 212-224.
Gueguen, M., Vuillerme, N., & Isableu, B. (2012). Does the integration of haptic and visual cues reduce the effect of a biased visual reference frame on the subjective head orientation? Public Library of Science, 7(4), e34380. Retrieved from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0034380
Haegele, J. A., Kirk, T. N., & Zhu, X. (2018). Self-efficacy and physical activity among adults with visual impairments. Disability and Health Journal, 11(2), 324-329.
Hair, J., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (7th ed.). Englewood Cliffs, NJ: Prentice.
Hall, E., & Moseley, D. (2005). Is there a role for learning styles in personalised education and training? International Journal of Lifelong Education, 24(3), 243- 255.
Hammer, D. (2004). The variability of student reasoning, lectures 1-3. In E. Redish, & M. Vinventini (Eds.), Proceedings of the Enrico Fermi Summer School in Physics, Course, pp. 279-340.
Hammer, D., & van Zee, E. (2006). Seeing the science in children’s thinking: Case studies of student inquiry in physical science. Portsmouth, NH: Heinemann.
Harrow, A. J. (1972). A taxonomy of the psychomotor domain. NY: David McKay Company.
Harter, S. (1982). The perceived competence scale for children. Society for Research in Child Development, 53(1), 87-97.
Haynie, J. M., Shepherd, D. A., & Patzelt, H. (2012). Cognitive adaptability and an entrepreneurial task: The role of metacognitive ability and feedback. Entrepreneurship Theory and Practice, 36(2), 237-265.
Haywood, K.M. (2014). Life span motor development (6th ed.). UK: Human Kinetics.
Healy, A. F., Kole, J. A., & Bourne Jr, L. E. (2014). Training principles to advance expertise. Frontiers in Psychology, 5, 166-169.
Hebert, E. P., Landin, D., & Solmon, M. A. (1996). Practice schedule effects on the performance and learning of low-and high-skilled students: An applied study. Research Quarterly for Exercise and Sport, 67(1), 52-58.
Heilman, K. M., Rothi, L. J., & Valenstein, E. (1982). Two forms of ideomotor apraxia. Neurology, 32(4), 342-346.
Hennessy, D. A., Jakubowski, R. D., & Leo, B. (2016). The impact of primacy/recency effects and hazard monitoring on attributions of other drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 39, 43-53.
Hernández-Padilla, J. M., Suthers, F., Granero-Molina, J., & Fernández-Sola, C. (2015). Effects of two retraining strategies on nursing students’ acquisition and retention of BLS/AED skills: A cluster randomised trial. Resuscitation, 93, 27-34.
Heuer, F., & Reisberg, D. (1990). Vivid memories of emotional events: The accuracy of remembered minutiae. Memory and Cognition, 18, 496-506.
Higgins, E. T., Bargh, J. A., & Lombardi, W. J. (1985). Nature of priming effects on categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 59-69.
Higham, P. A., Zawadzka, K., & Hanczakowski, M. (2016). Internal mapping and its impact on measures of absolute and relative metacognitive accuracy. NY: Oxford University Press.
Hird, J. S., Landers, D. M., Thomas, J. R., & Horan, J. J. (1991). Physical practice is superior to mental practice in enhancing cognitive and motor task performance. Journal of Sport and Exercise Psychology, 13(3), 281-293.
Hmelo-Silver, C. E., Duncan, R. G., & Chinn, C. A. (2007). Scaffolding and achievement in problem-based and inquiry learning: a response to Kirschner, Sweller, and Clark. Educational Psychologist, 42(2), 99-107.
Höffler, T. N., & Leutner, D. (2007). Instructional animation versus static pictures: A meta-analysis. Learning and Instruction, 17(6), 722-738.
Hofstadter, D. R., & Mitchell, M. (1994). The Copycat project: A model of mental fluidity and analogy-making. In K. J. Holyoak & J. A. Barnden (Eds.), Advances in connectionist and neural computation theory, Vol. 2. Analogical connections (pp. 31-112). Westport, CT: Ablex Publishing.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. C. (2015). Self-efficacy relevant to competitive anxiety and gameplay interest in the one-on-one competition setting. Educational Technology Research and Development, 63(5), 791-807.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Tsai, C. R. (2017). An exploration of students’ science learning interest related to their cognitive anxiety, cognitive load, self-confidence and learning progress using inquiry-based learning with an iPad. Research in Science Education, 47(6), 1193-1212.
Honicke, T., & Broadbent, J. (2016). The influence of academic self-efficacy on academic performance: A systematic review. Educational Research Review, 17, 63-84.
Illich, I. (1973). Deschooling society. NY: Harper and Row.
Isableu, B., Ohlmann, T., Crémieux, J., & Amblard, B. (1997). Selection of spatial frame of reference and postural control variability. Experimental Brain Research, 114(3), 584-589.
Isableu, B., Ohlmann, T., Crémieux, J., & Amblard, B. (1998). How dynamic visual field dependence–independence interacts with the visual contribution to postural control. Human Movement Science, 17(3), 367-391.
Isableu, B., Ohlmann, T., Crémieux, J., & Amblard, B. (2003). Differential approach to strategies of segmental stabilisation in postural control. Experimental Brain Research, 150(2), 208-221.
Isableu, B., Ohlmann, T., Cremieux, J., Vuillerme, N., Amblard, B., & Gresty, M. A. (2010). Individual differences in the ability to identify, select and use appropriate frames of reference for perceptuo-motor control. Neuroscience, 169(3), 1199-1215.
Jackson, P. L., Doyon, J., Richards, C. L., & Malouin, F. (2004). The efficacy of combined physical and mental practice in the learning of a foot-sequence task after stroke: A case report. Neurorehabilitation and Neural Repair, 18(2), 106-111.
Jacoby, L. L., Wahlheim, C. N., & Kelley, C. M. (2015). Memory consequences of looking back to notice change: Retroactive and proactive facilitation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(5), 1282-1297.
James, W. (1890). The principles of psychology. NY: Dover.
Janacsek, K., & Nemeth, D. (2012). Predicting the future: From implicit learning to consolidation. International Journal of Psychophysiology, 83(2), 213-221.
Janiszewski, C., & Wyer, R. S. (2014). Content and process priming: A review. Journal of Consumer Psychology, 24(1), 96-118.
Jensen, R. (1998). The g factor: The science of mental ability. CA: Praeger.
Jo, S., Myung, R., & Yoon, D. (2012). Quantitative prediction of mental workload with the ACT-R cognitive architecture. International Journal of Industrial Ergonomics, 42(4), 359-337.
Johnson-Frey, S. H. (2004). The neural bases of complex tool use in humans. Trends in Cognitive Sciences, 8(2), 71-78.
Johnson-Frey, S. H., Newman-Norlund, R., & Grafton, S. T. (2005). A distributed left hemisphere network active during planning of everyday tool use skills. Cerebral Cortex, 15(6), 681-695.
Jonides, J., & Nee, D. E. (2006). Brain mechanisms of proactive interference in working memory. Neuroscience, 139, 181-193.
Karpicke J. D., & Zaromb F. M. (2010). Retrieval mode distinguishes the testing effect from the generation effect. Journal of Memory and Language, 62(3), 227-239.
Karpicke, J. D. (2009). Metacognitive control and strategy selection: deciding to practice retrieval during learning. Journal of Experimental Psychology: General, 138(4), 469-486.
Kasuga, S., Kurata, M., Liu, M., & Ushiba, J. (2015). Alteration of a motor learning rule under mirror-reversal transformation does not depend on the amplitude of visual error. Neuroscience Research, 94, 62-69.
Kenny, D. A. (2006). Confirmatory factor analysis for applied research. NY: Guilford.
Kisac, I., & Budak, Y. (2014). Metacognitive strategies of the university students with respect to their perceived self-confidence levels about learning. Procedia-Social and Behavioral Sciences, 116, 3336-3339.
Kite, M. E., Deaux, K., & Haines, E. (2008). Gender stereotypes. In F. L. Denmark & M. A. Paludi (Eds.), Psychology of women: a handbook of issues and theories (2nd ed., pp. 205-236). CT: Greenwood Press.
Kock, Z. J., Taconis, R., Bolhuis, S., & Gravemeijer, K. (2013). Some key issues in creating inquiry-based instructional practices that aim at the understanding of simple electric circuits. Research in Science Education, 43(2), 579-597.
Kolb, A., & Kolb, D. (2009). The learning way: Meta-cognitive aspects of experiential learning. Simulation and Gaming, 40(3), 297-327.
Kolb, D. (1985). Learning style inventory. Boston: McBer.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. NJ: Prentice Hall.
Kole, J. A., & Healy, A. F. (2007). Using prior knowledge to minimize interference when learning large amounts of information. Memory and Cognition, 35(1), 124-137.
Kole, J. A., Healy, A. F., & Bourne, L. E., Jr. (2008). Cognitive complications moderate the speed-accuracy tradeoff in data entry: A cognitive antidote to inhibition. Applied Cognitive Psychology, 22(7), 917-937.
Kolovelonis, A., & Goudas, M. (2018). The relation of physical self-perceptions of competence, goal orientation, and optimism with students' performance calibration in physical education. Learning and Individual Differences, 61, 77-86.
Kolovelonis, A., Goudas, M., & Dermitzaki, I. (2012). Students’ performance calibration in a basketball dibbling task in elementary physical education. International Electronic Journal of Elementary Education, 4(3), 507-517.
Koriat, A. (2002). Metacognition research: An interim report. In T. J. Perfect & B. L. Schwartz (Ed.), Applied metacognition (pp. 261-286). Cambridge: Cambridge University Press.
Koriat, A., & Goldsmith, M. (1996). Memory metaphors and the real-life/ laboratory controversy: Correspondence versus storehouse conceptions of memory. Behavioral and Brain Sciences, 19(2), 167-188.
Köszegi, B. (2006). Ego utility, overconfidence and task choice. Journal of the European Economic Association, 4, 673-707.
Kroemer, N., Burrasch, C., & Hellrung, L. (2016). To work or not to work: Neural representation of cost and benefit of instrumental action. Progress in Brain Research, 229, 125-157.
Kuhn, D., Iordanou, K., Pease, M., & Wirkala, C. (2008). Beyond control of variables: What needs to develop to achieve skilled scientific thinking? Cognitive Development, 23, 435-451.
Kuo, Y. R., Tuan, H. L., & Chin, C. C. (2018). Examining Low and Non-low Achievers’ Motivation Towards Science Learning Under Inquiry-Based Instruction. International Journal of Science and Mathematics Education. Retrieved from https://link.springer.com/article/10.1007/s10763-018-9908-9#citeas
Lafleur, M. F., Jackson, P. L., Malouin, F., Richards, C. L., Evans, A. C., & Doyon, J. (2002). Motor learning produces parallel dynamic functional changes during the execution and imagination of sequential foot movements. Neuroimage, 16(1), 142-157.
Lage, G. M., Ugrinowitsch, H., Apolinário-Souza, T., Vieira, M. M., Albuquerque, M. R., & Benda, R. N. (2015). Repetition and variation in motor practice: A review of neural correlates. Neuroscience and Biobehavioral Reviews, 57, 132-141.
Lago-Rodriguez, A., Lopez-Alonso, V., & Fernández-del-Olmo, M. (2013). Mirror neuron system and observational learning: Behavioral and neurophysiological evidence. Behavioural Brain Research, 248, 104-113.
Lansu, T. A., Cillessen, A. H., & Karremans, J. C. (2014). Adolescents' selective visual attention for high‐status peers: The role of perceiver status and gender. Child Development, 85(2), 421-428.
Lashley, K. S. (1951). The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior: The Hixon symposium (pp. 112-136). NY: Wiley.
Laursen, S. L., Hassi, M. L., Kogan, M., & Weston, T. J. (2014). Benefits for women and men of inquiry-based learning in college mathematics: A multi-institution study. Journal for Research in Mathematics Education, 45(4), 406-418.
Lazonder, A. W., & Harmsen, R. (2016). Meta-analysis of inquiry-based learning: Effects of guidance. Review of Educational Research, 86(3), 681-718.
Lease, A. M., Musgrove, K. T., & Axelrod, J. L. (2002). Dimensions of social status in preadolescent peer groups: Likability, perceived popularity, and social dominance. Social Development, 11(4), 508-533.
Leech, N. L., & Onwuegbuzie, A. J. (2007). An array of qualitative data analysis tools: A call for data analysis triangulation. School Psychology Quarterly, 22(4), 557-584.
Legrain, V., Crombez, G., Plaghki, L., & Mouraux, A. (2013). Shielding cognition from nociception with working memory. Cortex, 49, 1922-1934.
Lillicrap, T. P., Moreno-Briseno, P., Diaz, R., Tweed, D. B., Troje, N. F., & Fernandez-Ruiz, J. (2013). Adapting to inversion of the visual field: A new twist on an old problem. Experimental Brain Research, 228(3), 327-339.
Lindner, M. A., Eitel, A., Barenthien, J., & Köller, O. (in press). An integrative study on learning and testing with multimedia: Effects on students’ performance and metacognition. Learning and Instruction. Retrieved from https://www.sciencedirect.com/science/article/pii/S0959475217304346
Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Journal of Reading and Writing Quarterly, 19(2), 119-137.
Llewellyn, D. (2013). Teaching high science through inquiry and argumentation. CA: Corwin.
Lohse, K. R., Sherwood, D. E., Healy, A. F. (2010). How changing the focus of attention affects performance, kinematics, and electromyography in dart throwing. Human Movement Science, 29, 542-555.
Luo, Z., Jose, P. E., Huntsinger, C. S., & Pigott, T. D. (2007). Fine motor skills and mathematics achievement in East Asian American and European American kindergartners and first graders. British Journal of Developmental Psychology, 25(4), 595-614.
MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual Review of Psychology, 51(1), 201-226.
MacLeod, C. M., & MacDonald, P. A. (2000). Interdimensional interference in the Stroop effect: Uncovering the cognitive and neural anatomy of attention. Trends in Cognitive Sciences, 4(10), 383-391.
Magill, R. A. (2003). Motor learning and control concepts and applications (7th ed.). NY: McGraw-Hill Company.
Magill, R. A., & Hall, K. G. (1990). A review of the contextual interference effect in motor skill acquisition. Human Movement Science, 9, 241-289.
Mahoney, M. J., & Chapman, B. P. (2004). Psychological skills training in sport. Encyclopedia of Applied Psychology, 3, 155-170.
Malinauskas, R. K. (2017). Enhancing of Self-Efficacy in Teacher Education Students. European Journal of Contemporary Education, 6(4), 732-738.
Marakas, G. M., Yi, M. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information Systems Research, 9(2), 126-163.
Martin, A.M., & Hand, B. (2009). Factors affecting the implementation of argument in the elementary science classroom. A longitudinal case study. Research in Science Education, 39, 17-38.
Martinez-Calderon, J., Zamora-Campos, C., Navarro-Ledesma, S., & Luque-Suarez, A. (2018). The role of self-efficacy on the prognosis of chronic musculoskeletal pain: a systematic review. The Journal of Pain, 19(1), 10-34.
Mazzoni, P., & Krakauer, J.W. (2006). An implicit plan overrides an explicit strategy during visuomotor adaptation. The Journal of Neuroscience, 26(14), 3642-3645.
McCracken, H. D., & Stelmach, G. E. (1977). A test of the schema theory of discrete motor learning. Journal of Motor Behavior, 9(3), 193-201.
McKay, B., & McKay, K. (2009). Toolmanship: How to use a handsaw. Retrieved from: http://branscome.com/sites/default/files/manuals/Grading%20and%20Utilities/How%20to%20Use%20a%20Handsaw.pdf
McNally, R. J., Riemann, B. C., Louro, C. E., Lukach, B. M., & Kim, E. (1992). Cognitive processing of emotional information in panic disorder. Behaviour Research and Therapy, 30(2), 143-149.
Mecklinger, A., Weber, K., Gunter, T. C., & Engle, R. W. (2003). Dissociable brain mechanisms for inhibitory control: Effects of interference content and working memory capacity. Brain Research, 18, 26-38.
Metcalfe, J. (2000). Metamemory: Theory and data. In E. Tulving & F. I. M. Craik (Eds.), The Oxford handbook of memory (pp. 197-211). NY: Oxford University Press.
Mihal, W. L., & Barrett, G. V. (1976). Individual differences in perceptual information processing and their relation to automobile accident involvement. Journal of Applied Psychology, 61(2), 229-233.
Minner, D. D., Leavy, A. J., & Century, J. (2010). Inquiry-based science instruction – what is it and does it matter. Results from a research synthesis years 1984 to 2002. Journal of Research in Science Teaching, 47(4), 474-496.
Minor, K. S., Marggraf, M. P., Davis, B. J., Luther, L., Vohs, J. L., Buck, K. D., & Lysaker, P. H. (2015). Conceptual disorganization weakens links in cognitive pathways: disentangling neurocognition, social cognition, and metacognition in schizophrenia. Schizophrenia Research, 169(1-3), 153-158.
Mogg, K., Kentish, J., & Bradley, B. P. (1993). Effects of anxiety and awareness on colour-identification latencies for emotional words. Behaviour Research and Therapy, 31(6), 559-567.
Molenberghs, P., Trautwein, F. M., Böckler, A., Singer, T., & Kanske, P. (2016). Neural correlates of metacognitive ability and of feeling confident: a large-scale fMRI study. Social Cognitive and Affective Neuroscience, 11(12), 1942-1951.
Montgomery, P. C., & Connolly, B. H. (1991). Motor control and physical therapy: Theoretical framework and practical applications. TN: Chattanooga Corporation.
Moos, D. C., & Azevedo, R. (2009). Learning with computer-based learning environments: A literature review of computer self-efficacy. Review of Educational Research, 79(2), 576-600.
Moran, A. (2009). Cognitive psychology in sport: Progress and prospects. Psychology of Sport and Exercise, 10(4), 420-426.
Moran, A. (2012). Thinking in action: Some insights from cognitive sport psychology. Thinking Skills and Creativity, 7(2), 85-92.
Moritz, S. E., Feltz, D. L., Fahrbach, K. R., & Mack, D. E. (2000). The relationship of self-efficacy measures to sport performance: A meta analytical rewiew. Resarch Quarterly for Exercise and Sport, 71, 280-294.
Morton, S. M., & Bastian, A. J. (2006). Cerebellar contributions to locomotor adaptations during splitbelt treadmill walking. The Journal of Neuroscience, 26(36), 9107-9116.
Mowlaie, M., Besharat, M. A., Pourbohlool, S., & Azizi, L. (2011). The mediation effects of self-confidence and sport self-efficacy on the relationship between dimensions of anger and anger control with sport performance. Procedia-Social and Behavioral Sciences, 30, 138-142.
Moxley, S. E. (1979). Schema: The variability of practice hypothesis. Journal of Motor Behavior, 11, 65-70.
Muratori, L. M., Lamberg, E. M., Quinn, L., & Duff, S. V. (2013). Applying principles of motor learning and control to upper extremity rehabilitation. Journal of Hand Therapy, 26(2), 94-103.
Muris, P. (2001). A brief questionnaire for measuring self-efficacy in youth. Journal of Psychopathology and Behavioral Assessment, 23, 145-149.
Murphy, S. T., & Zajonc, R. B. (1993). Affect, cognition, and awareness: Affective priming with optimal and suboptimal stimulus exposures. Journal of Personality and Social Psychology, 64, 723-729.
Nahari, G., & Pazuelo, M. (2015). Telling a convincing story: Richness in detail as a function of gender and information. Journal of Applied Research in Memory and Cognition, 4(4), 363-367.
Napoli, V., Killbride, J. M., & Tebbs, D. E. (1992). Adjustment and growth in a changing world (4th ed.). MN: West Publishing Company.
Naus, M. J. (1974). Memory search of categorized lists: A consideration of alternative self-terminating search strategies. Journal of Experimental Psychology, 102(6), 992-1000.
Naus, M. J., Glucksberg, S., & Ornstein, P. A. (1972). Taxonomic word categories and memory search. Cognitive Psychology, 3(4), 643-654.
Neill, W. T., Valdes, L. A., &Terry, K. M. (1995). Selective attention and the inhibitory control of cognition. In F. N. Dempster & C. J. Brainerd (Eds.), New perspectives on interference and inhibition in cognition (pp. 207-261). NY: Academic Press.
Nelson, T. O. (1971). Savings and forgetting from long-term memory. Journal of Memory and Language, 10(5), 568-576.
Nelson, T. O. (1978). Detecting small amounts of information in memory: Savings for nonrecognized items. Journal of Experimental Psychology: Human Learning and Memory, 4(5), 453-468.
Netwell, K. M. (1991). Motor skill acquisition. Annual Review of Psychology, 42, 213-237.
Newell, K. M., Goodman, D., Wilberg, R. B., & Franks, I. M. (Ed.). (1985). Differing perspectives in motor learning, memory, and control. Amsterdam, Holland: North-Holland.
Nie, Y., & Lau, S. (2010). Differential relations of constructivist and didactic instruction to students’ cognition, motivation, and achievement. Learning and Instruction, 20(5), 411-423.
Nisbet, J. D., Watt, J. S., & Duncan, J. A. (1984). Educational disadvantage: Ten years on. Edinburgh: HM Stationery Office.
Nobre, G. C., Bandeira, P. F. R., Ramalho, M. H. D. S., Nobre, F. S. S., & Valentini, N. C. (2015). Self-perception of competence in children from socially vulnerable contexts, assisted and unassisted by social sports projects. Journal of Human Growth and Development, 25(3), 271-276.
Nosratinia, M., & Soleimannejad, A. (2016). Perceptual Learning Styles and Critical Thinking: Inspecting the Association among EFL Learners. Theory and Practice in Language Studies, 6(6), 1220-1228.
Oberauer, K., Souza, A. S., Druey, M. D., & Gade, M. (2013). Analogous mechanisms of selection and updating in declarative and procedural working memory: Experiments and a computational model. Cognitive Psychology, 66(2), 157-211.
Ögren, M., Nyström, M., & Jarodzka, H. (2016). There’s more to the multimedia effect than meets the eye: is seeing pictures believing? Instructional Science, 45(2), 263-287.
Onyeaso, A. O., & Onyeaso, O. O. (2017). Impact of age and sex on bystander cardiopulmonary resuscitation knowledge. International Journal of Scientific Research and Management, 5(11), 7510-7517.
Orban, G. A., & Caruana, F. (2014). The neural basis of human tool use. Frontiers in Psychology, 5, 310. Retrieved from https://www.frontiersin.org/articles/10.3389/fpsyg.2014.00310/full
Osborne, J., Erduran, S., & Simon, S. (2004). Enhancing the quality of argumentation in school science. Journal of Research in Science Teaching, 41(10), 994-1020.
Osborne, J., Simon, S., Christodoulou, A., Howell-Richardson, C., & Richardson, K. (2013). Learning to argue: A study of four schools and their attempt to develop the use of argumentation as a common instructional practice and its impact on students. Journal of Research in Science Teaching, 50(3), 315-347.
Osiurak, F., & Badets, A. (2016). Tool use and affordance: Manipulation-based versus reasoning-based approaches. Psychological Review, 123(5), 534-568.
Osiurak, F., Jarry, C., & Le Gall, D. (2010). Grasping the affordances, understanding the reasoning: toward a dialectical theory of human tool use. Psychological Review, 117(2), 517-540
Osiurak, F., Rossetti, Y., & Badets, A. (2017). What is an affordance? 40 years later. Neuroscience and Biobehavioral Reviews, 77, 403-417.
Osman, A. (2017). Effects of contextual interference on learning of soccer skills. Ovidius University Annals, Series Physical Education and Sport/Science, Movement and Health, 17(2), 177-184.
Ossmy, O., & Mukamel, R. (2018). Perception as a route for motor skill learning: Perspectives from neuroscience. Neuroscience, 382, 144-153.
Overgaard, M., & Sandberg, K. (2012). Kinds of access: different methods for report reveal different kinds of metacognitive access. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 367(1594), 1287-1296.
Pajares, F., & Miller, M.D. (1994). The role of self-efficacy and self-concept belief in mathematical problem-solving: A path analysis. Journal of Educational Psychology, 86, 193-203.
Papalexopoulou, K., Chalkias, A., Dontas, I., Pliatsika, P., Giannakakos, C., Papapanagiotou, P., ... Xanthos, T. (2014). Education and age affect skill acquisition and retention in lay rescuers after a European Resuscitation Council CPR/AED course. Heart and Lung: The Journal of Acute and Critical Care, 43(1), 66-71.
Papavlasopoulou, S., Giannakos, M. N., & Jaccheri, L. (2017). Empirical studies on the Maker Movement, a promising approach to learning: A literature review. Entertainment Computing, 18, 57-78.
Pasupathi, M., & Wainryb, C. (2010). On telling the whole story: Facts and interpretations in autobiographical memory narratives from childhood through midadolescence. Developmental Psychology, 46(3), 735-746.
Pedaste, M., Mäeots, M., Siiman, L. A., De Jong, T., Van Riesen, S. A., Kamp, E. T., ... Tsourlidaki, E. (2015). Phases of inquiry-based learning: Definitions and the inquiry cycle. Educational Research Review, 14, 47-61.
Pegg, J. M. (2006). Developing explanations: Student reasoning about science concepts during claims-evidence inquiry lessons. OR: Department of Science and Math Education, Oregon State University.
Penn, D. C., & Povinelli, D. J. (2007). Causal cognition in human and nonhuman animals: A comparative, critical review. Annual Review of Psychology, 58, 97-118.
Penn, D. C., Holyoak, K. J., & Povinelli, D. J. (2008). Darwin's mistake: Explaining the discontinuity between human and nonhuman minds. Behavioral and Brain Sciences, 31(2), 109-130.
Pennington, N., Nicolich, R., & Rahm, J. (1995). Transfer of training between cognitive subskills: Is knowledge use specific? Cognitive Psychology, 28(2), 175-224.
Pereira, S. E. F. N. (2010). Crianças e adolescentes em contexto de vulnerabilidade social: Articulação de redes em situação de abandono ou afastamento do convívio familiar. Aconchego, 1(1), 21-31.
Pervin, L. A., & John, O. P. (2001). Personality, theory and research (8th ed.). NJ: John Wiley and Sons.
Pezzulo, G., Candidi, M., Dindo, H., & Barca, L. (2013). Action simulation in the human brain: Twelve questions. New Ideas in Psychology, 31(3), 270-290.
Piaget, J. (1978). Success and understanding. Cambridge, MA: Harvard University Press.
Piek, J. P., Baynam, G. B., & Barrett, N. C. (2006). The relationship between fine and gross motor ability, self-perceptions and self-worth in children and adolescents. Human Movement Science, 25(1), 65-75.
Pinelle, D., Wong, N., & Stach, T. (2008). Heuristic evaluation for games: usability principles for video game design. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1453-1462.
Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82, 33-40.
Pintrich, P. R., & Schrauben, B. (1992). Students’motivational beliefs and their cognitive engagement in classroom tasks. In D. Schunk & J. Meece (Eds.), Student perceptions in the classroom: Causes and consequences (pp.149-183). Hillsdale, NJ: Lawrence Erlbaum Associates.
Pintrich, P. R., Wolters, C. A., & Baxter, G. P. (2000). Assessing metacognition and selfregulated learning. In G. Schraw & J. C. Impara (Eds.), Issues in the measurement of metacognition (pp. 43-98). Lincoln, NE: Buros Institute of Mental Measurements.
Piromchai, P., Ioannou, I., Wijewickrema, S., Kasemsiri, P., Lodge, J., Kennedy, G., & O'Leary, S. (2017). Effects of anatomical variation on trainee performance in a virtual reality temporal bone surgery simulator. The Journal of Laryngology and Otology, 131(S1), S29-S35. Ritrieved from https://www.cambridge.org/core/journals/journal-of-laryngology-and-otology/article/effects-of-anatomical-variation-on-trainee-performance-in-a-virtual-reality-temporal-bone-surgery-simulator/BE7C265DEB175E90E4B926A04467AF0C
Poole, K. L., Schmidt, L. A., Ferro, M. A., Missiuna, C., Saigal, S., Boyle, M. H., & Van Lieshout, R. J. (2018). Early developmental influences on self-esteem trajectories from adolescence through adulthood: Impact of birth weight and motor skills. Development and psychopathology, 30(1), 113-123.
Porter, J. M., & Magill, R. A. (2010). Systematically increasing contextual interference is beneficial for learning sport skills. Journal of Sports Sciences, 28, 1277-1285.
Posner, M. I., & Rothbart, M. K. (2009). Toward a physical basis of attention and self-regulation. Physics of life reviews, 6(2), 103-120.
Press, C. (2011). Action observation and robotic agents: Learning and anthropomorphism. Neuroscience and Biobehavioral Reviews, 35, 1410-1418.
Price, S., & Rogers, Y. (2004). Let’s get physical: the learning benefits of interacting in digitally augmented physical spaces. Computers and Education, 43(1–2), 137-151.
Putnam, A. L., Sungkhasettee, V. W., & Roediger III, H. L. (2016). When misinformation improves memory: The effects of recollecting change. Psychological Science, 28(1), 36-46.
Raanaas, R. K., & Magnussen, S. (2006a). Serial position effects in implicit memory. European Journal of Cognitive Psychology, 18(03), 398-414.
Raanaas, R. K., & Magnussen, S. (2006b). Serial position effects in implicit memory for multiple-digit numbers. Psychological Research Psychologische Forschung, 70, 26-31.
Rach, S., Ufer, S., & Heinze, A. (2013). Learning from errors: Effects of teachers training on students´ attitudes towards and their individual use of errors. PNA, 8(1), 21-30.
Ratcliff, R., & McKoon, G. (1988). A retrieval theory of priming in memory. Psychological Review, 95, 385-408.
Reid, J. M. (1984). Perceptual learning style preference questionnaire. Laramie: University of Wyoming, Department of English.
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353-387.
Riedl, M. O. (2004). Equivalence between narrative mediation and branching story graphs (Technical Report TR04-004). CA: Liquid Narrative Group, Department of Computer Science, North Carolina State University.
Ritter, S., Anderson, J., Koendinger, K., & Corbett, A. (2007). Cognitive tutor: Applied research in mathematics education. Psychonomic Bulletin and Review, 14(2), 249-255.
Rizzolatti, G., & Craighero, L. (2004). The mirror-neuron system. Annual Review of Neuroscience, 27, 169-192.
Robbins, S. B., Lauver, K., Le, H., Davis, D., Langley, R., & Carlstrom, A. (2004). Do psychosocial and study skill factors predict college outcomes? A meta-analysis. Psychological Bulletin, 130(2), 261-288.
Roediger, H. L., III., & Karpicke, J. D. (2006). The power of testing memory: Basic research and implications for educational practice. Perspectives on Psychological Science, 1(3), 181-210.
Salmon, P., Hanneman, S., & Harwood, B. (2010). Associative/dissociative cognitive strategies in sustained physical activity: Literature review and proposal for a mindfulness-based conceptual model. The Sport Psychologist, 24(2), 127-156.
Salmoni, A. W., Schmidt, R. A., & Walter, C. B. (1984). Knowledge of results and motor learning: a review and critical reappraisal. Psychological Bulletin, 95(3), 355-386.
Sauce, B., Wass, C., Smith, A., Kwan, S., & Matzel, L. D. (2014). The external-internal loop of interference: Two types of attention and their influence on the learning abilities of mice. Neurobiology of Learning and Memory, 116, 181-192.
Schmid, S., & Bogner, F. X. (2015). Effects of students’ effort scores in a structured inquiry unit on long-term recall abilities of content knowledge. Education Research International, 2015, 826734. Retrieved from https://www.hindawi.com/journals/edri/2015/826734/abs/
Schmidt, R. A. (1975). A schema theory of discrete motor skill learning. Psychological Review, 82, 225-260.
Schmidt, R. A. (1985). Identifying units of motor behavior. The Behavioral and Brain Science, 8, 163-164.
Schmidt, R. A. (1988). Motor control and Learning: A behavioral emphasis (2nd). IL: Human Kinetics.
Schmidt, R. A., & Lee, T. D. (1999). Methodology for studying motor performance, In R. Schmidt & T. Lee (Eds.), Motor control and learning: A behaviuoral emphasis (pp. 20-25). Champaign, IL: Human Kinetics Publishers Inc.
Schmidt, R. A., & Lee, T. D. (2005). Motor control and learning: A behavioral emphasis (4th ed.). Champaign, IL: Human Kinetics.
Schunk, D. H. (1996). Learning theories. NJ: Prentice Hall.
Schwartz, B. L. (1994). Sources of information in metamemory: Judgments of learning and feelings of knowing. Psychonomic Bulletin and Review, 1(3), 357-375.
Schwartz, R. M., & Humphreys, M. S. (1973). Similarity judgments and free recall of unrelated words. Journal of Experimental Psychology, 101(1), 10-13.
Schwarzer, R. (Ed.) (1992). Self-efficacy: Thought control of action. DC: Hemisphere.
Schwarzer, R., Hallum, S. (2008). Perceived teacher self-efficacy as a predictor of job stress and burnout: Mediation analyses. Applied Psychology: An International Review, 57, 152-171.
Seidlitz, L., & Diener, E. (1998). Sex differences in the recall of affective experiences. Journal of Personality and Social Psychology, 74(1), 262-271.
Sezgin, F., & Erdogan, O. (2018). Humility and forgiveness as predictors of teacher self-efficacy. Educational Research and Reviews, 13(4), 120-128.
Shadish, W. R., Cook, T. D., Campbell, D. T. (2002). Experimental and quasi- experimental designs for generalized causal inference. NY: Houghton Mifflin.
Shadmehr, R., & Krakauer, J. W. (2008). A computational neuroanatomy for motor control. Experimental Brain Research, 185(3), 359-381.
Shadmehr, R., & Mussa-Ivaldi, F. A. (1994). Adaptive representation of dynamics during learning of a motor task. The Journal of Neuroscience, 14(5), 3208-3224.
Sharp, J. L., Miller-Cahill, M. E., Riccio, D. C., & Fountain, S. B. (in press). Serial pattern retention in male and female rats. Neurobiology of Learning and Memory. Retrieved from: https://www.sciencedirect.com/science/article/pii/S1074742718301291
Shea, C. H., Kohl, R., & Indermill, C. (1990). Contextual interference: Contributions of practice. Acta Psychologica, 73(2), 145-157.
Shea, J. B., & Morgan, R. L. (1979). Contextual interference effects on the acquisition, retention, and transfer of a motor skill. Journal of Experimental Psychology: Human Learning and Memory, 5, 179-187.
Sidky, G. (2017). The power game: power dynamics between the teacher and the students in a graduate seminar. English Language Teaching, 10(5), 179-192.
Singley, M. K., & Anderson, J.R. (1989). The transfer of cognitive skill. MA: Harvard University Press.
Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning and Memory, 4(6), 592-604.
Smith, W., & Smith, B. C. (2016). Bringing the maker movement to school. Science and Children, 54(1), 30-37.
Soderstrom, N. C., & Bjork, R. A. (2015). Learning versus performance: An integrative review. Perspectives on Psychological Science, 10(2), 176-199.
Song, S., Howard, J. H., & Howard, D. V. (2007). Implicit probabilistic sequence learning is independent of explicit awareness. Learning and Memory, 14, 167-176.
Spada, M. M., Caselli, G., Nikčević, A. V., & Wells, A. (2015). Metacognition in addictive behaviors. Addictive Behaviors, 44, 9-15.
Spruit, E. N., Band, G. P., & Hamming, J. F. (2015). Increasing efficiency of surgical training: effects of spacing practice on skill acquisition and retention in laparoscopy training. Surgical Endoscopy, 29(8), 2235-2243.
Squire, L. S., & Kandel, E. R. (1999). Memory: From molecules to memory: Scientific American library. NY: Freeman Press
Srimal, R., Diedrichsen, J., Ryklin, E. B., & Curtis, C. E. (2008). Obligatory adaptation of saccade gains. Journal of Neurophysiology, 99(3), 1554-1558.
Stankov, L., Lee, J., Wenshu, L., & Hogan, D. J. (2012). Confidence: a better predictor of academic achievement than self-efficacy, self-concept and anxiety? Learning and Individual Differences, 22, 747-758.
Steel, C., Haworth, E. J., Peters, E., Hemsley, D. R., Sharma, T., Gray, J. A., … Williams, S. C. R. (2001). Neuroimaging correlates of negative priming. Neuroreport, 12(16), 3619-3624.
Stelmach, G. E. (1969). Efficiency of motor learning as a function of intertrial rest. Research Quarterly. American Association for Health, Physical Education and Recreation, 40(1), 198-202.
Sternberg, R., Grigorenko, E., & Zhang, L. (2008). Styles of learning and thinking matter in instruction and assessment. Perspectives on Psychological Science, 3(6), 486-506.
Sternberg, S. (1966). High-speed scanning in human memory. Science, 153(3736), 652-654.
Stoffregen, T. A. (2003). Affordances as properties of the animal-environment system. Ecological Psychology, 15(2), 115-134.
Stout, D., Hechi, E., Khreisheh, N., Bradley, B., & Chaminade, T. (2015). Cognitive demands of lower paleolithic toolmaking. cognitive demands of lower paleolithic toolmaking. Public Library of Science, 10(4), e0121804. Retrieved from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0121804
Stout, D., Toth, N. Schick, K., & Chaminade, T. (2008). Neural correlates of early stone age toolmaking: Technology, language and cognition in human evolution. Philosophical Transactions of the Royal Society Biological Sciences, 363, 1939-1949.
Summers, J., Larkin, D., & Dewey, D. (2008). Activities of daily living in children with developmental coordination disorder: dressing, personal hygiene, and eating skills. Human Movement Science, 27(2), 215-229.
Surya, E., & Putri, F. A. (2017). Improving mathematical problem-solving ability and self-confidence of high school students through contextual learning model. Journal on Mathematics Education, 8(1), 85-94.
Tenenbaum, G. (2001). A social-cognitive perspective of perceived exertion and exertion tolerance. In R. N. Singer, H. Hausenblas, & C. Janelle (Eds.), Handbook of sport psychology (pp. 810-820). NY: Wiley.
Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., ... de Vet, H. C. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34-42.
Thill, S., Caligiore, D., Borghi, A. M., Ziemke, T., & Baldassarre, G. (2013). Theories and computational models of affordance and mirror systems: an integrative review. Neuroscience and Biobehavioral Reviews, 37(3), 491-521.
Thomas, O., Lane, A., & Kingston, K. (2011). Defining and contextualizing robust sport confidence. Journal of Applied Sport Psychology, 23(2), 189-208.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC: American Psychological Association.
Thothathiri, M., & Snedeker, J. (2008). Syntactic priming during language comprehension in three-and four-year-old children. Journal of Memory and Language, 58(2), 188-213.
Thuneberg, H. M., Salmi, H., & Bogner, F. X. (2018). How creativity, autonomy and visual reasoning contributes to cognitive learning in a STEAM hands-on inquiry-based Math module. Thinking Skills and Creativity, 29, 153-160.
Todorov, E. (2004). Optimality principles in sensorimotor control. Nature Neuroscience, 7, 907-915.
Tullis, J. G., Finley, J. R., & Benjamin, A. S. (2013). Metacognition of the testing effect: Guiding learners to predict the benefits of retrieval. Memory and Cognition, 41(3), 429-442.
Tulving, E., & Pearlstone, Z. (1966). Availability versus accessibility of information in memory for words. Journal of Verbal Learning and Verbal Behavior, 5(4), 381-391.
Tulving, E., Schacter, D. L., & Stark, H. A. (1982). Priming effects in word fragment completion are independent of recognition memory. Journal of Experimental Psychology: Learning, Memory and Cognition, 8(4), 336-342.
Undorf, M., & Zander, T. (2017). Intuition and metacognition: The effect of semantic coherence on judgments of learning. Psychonomic Bulletin & Review, 24(4), 1217-1224.
Utario, Y., Rustina, Y., Krianto, T., & Ayubi, D. (2018). Arbi care application increases preschool children’s hand-washing self-efficacy among preschool children. Enfermeria Clinica, 28, 27-30.
Valentini, N. C., Logan, S. W., Spessato, B. C., deSouza, M. S., Pereira, K. G., & Rudisill, M. E. (2016). Fundamental motor skills across childhood: Age, sex, and competence outcomes of Brazilian children. Journal of Motor Learning and Development, 4(1), 16-36.
van Aalst, J., & Truong, M. S. (2011). Promoting knowledge creation discourse in an Asian primary five classroom: Results from an inquiry into life cycles. International Journal of Science Education, 33(4), 487-515.
van Beers, R.J. (2009). Motor learning is optimally tuned to the properties of motor noise. Neuron, 63(3), 406-417.
Van Dello, J. A., & Bosson, J. K. (2013). Hard won and easily lost: A review and synthesis of theory and research on precarious manhood. Psychology of Men and Masculinity, 14, 101-113.
van der Stel, M., & Veenman, M. V. J. (2008). Relation between intellectual ability and metacognitive skillfulness as predictors of learning performance of young students performing tasks in different domains. Learning and Individual Differences, 18, 128-134.
Van Eck, R. N., Fu, H., & Drechsel, P. V. (2015). Can simulator immersion change cognitive style? Results from a cross-sectional study of field-dependence–independence in air traffic control students. Journal of Computing in Higher Education, 27(3), 196-214.
Van Gog, T., Paas, F., Marcus, N., Ayres, P., & Sweller, J. (2009). The mirror neuron system and observational learning: Implications for the effectiveness of dynamic visualizations. Educational Psychology Review, 21(1), 21-30.
van Loon, M. H., de Bruin, A. B. H., van Gog, T., & van Merrienboer, J. J. G. (2013). Activation of inaccurate prior knowledge affects primary-school students’ metacognitive judgment and calibration. Learning and Instruction, 24, 15-25.
Van Schaik, C. P., Deaner, R. O., & Merrill, M. Y. (1999). The conditions for tool use in primates: Implications for the evolution of material culture. Journal of Human Evolution, 36(6), 719-741.
Vasile, L., & Stănescu, M. (2013). The aquatic therapy in balance coordination disorders. Procedia-Social and Behavioral Sciences, 92, 997-1002.
Vealey, R. S. (1986). Conceptualization of sport-confidence and competitive orientation: preliminary investigation and instrument development. Journal of Sport Psychology, 8, 221-246.
Vealey, R. S. (2009). Confidence in Sport. Department of Kinesiology and Health. In B. W. Brewer (Ed.), Handbook of Sports Medicine and Science Sport Psychology. OH: JohnWiley and Sons.
Veenman, M. V. J. (2012) Metacognition in science education: Definitions, constituents, and their intricate relation with cognition. In A. Zohar & Y. Dori (Eds), Metacognition in science education. contemporary trends and issues in science education (Vol. 40, pp. 21-36). Dordrecht, Nederland: Springer.
Verwoerd, J., Wessel, I., & de Jong, P. J. (2009). Individual differences in experiencing intrusive memories: The role of the ability to resist proactive interference. Journal of Behavior Therapy and Experimental Psychiatry, 40(2), 189-201.
Viilo, M., Seitamaa‐Hakkarainen, P., & Hakkarainen, K. (2011). Supporting the technology‐enhanced collaborative inquiry and design project: a teacher’s reflections on practices. Teachers and Teaching: Theory and Practice, 17(1), 51-72.
Vygotsky, L. S. (1962). Language and thought. Ontario, Canada: Massachusetts Institute of Technology Press.
Wang, C. H., Harrison, J., Cardullo, V., & Lin, X. (2018). Exploring the relationship among international students' english self-efficacy, using english to learn self-efficacy, and academic self-efficacy. Journal of International Students, 8(1), 233-250.
Wang, C. Y., & Tsai, M. J. (2017). Students’ self-efficacy and attitudes toward web-based recipe learning in taiwan culinary education. The Asia-Pacific Education Researcher, 26(3-4), 193-204.
Wang, Y. L., Liang, J. C., & Tsai, C. C. (2018). Cross-cultural comparisons of university students’ science learning self-efficacy: structural relationships among factors within science learning self-efficacy. International Journal of Science Education, 40(6), 579-594.
Waugh, N. C., & Noma, D. A. (1965). Primary memory. Psychology Review, 72, 89-104.
Wegman, E. (1999). Contextual interference effects on the acquisition and retention of fundamental motor skills. Perceptual and Motor Skills, 88(1), 182-187.
Weinberg, B. A. (2009). A model of overconfidence. Pacific Economic Review, 14, 502-515.
Weinberg, R., & Gould, D. (2003). Psychological foundations in sport and exercise. Champaign, IL. Human Kinetics Press.
Wells, A., & Cartwright-Hatton, S. (2004). A short form of the metacognitions questionnaire: Properties of the MCQ-30. Behavior Research and Therapy, 42, 385-396.
Wigfield, A. (1994). Expectancy-value theory of achievement motivation: A developmental perspective. Journal of Educational Psychology Review, 6, 49-78.
Willingham, D. B. (1999). Implicit motor sequence learning is not purely perceptual. Memory and Cognition, 27(3), 561-572.
Willingham, D. B., Wells, L. A., Farrell, J. M., & Stemwedel, M. E. (2000). Implicit motor sequence learning is represented in response locations. Memory and Cognition, 28(3), 366-375.
Wilson, R. C., Sullivan, P. J., Myers, N. D., & Feltz, D. L. (2004). Sources of sport confidence of master athletes. Journal of Sport and Exercise Psychology, 26(3), 369-384.
Winne, P. H., & Hadwin, A. F. (1998). Studying as self-regulated learning. Metacognition in Educational Theory and Practice, 93, 27-30.
Winstein, C. J., & Schmidt, R. A. (1990). Reduced frequency of knowledge of results enhances motor skill learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16(4), 677-691.
Withagen, R., & Michaels, C. F. (2007). Transfer of calibration between length and sweet-spot perception by dynamic touch. Ecological Psychology, 19(1), 1-19.
Witkin, H. A., Dyk, R. B., Fattuson, H. F., Goodenough, D. R., & Karp, S. A. (1962). Psychological differentiation: Studies of development. NY: Wiley.
Witkin, H. A., Lewis, H. B., Hertzman, M., Machover, K., Meissner, P. B., & Wapner, S. (1954). Personality through perception: An experimental and clinical study. Oxford, England: Harper.
Witkin, H. A., Oltman, P., Raskin, E., & Karp, S. A. (1971). A manual for the Embedded Figures Test. Palo Alto, CA: Consulting Psychologists Press.
Witney, A. G., Goodbody, S. J., & Wolpert, D. M. (2000). Learning and decay of prediction in object manipulation. Journal of Neurophysiology, 84(1), 334-343.
Wolfe, M. B., Schreiner, M. E., Rehder, B., Laham, D., Foltz, P. W., Kintsch, W., & Landauer, T. K. (1998). Learning from text: Matching readers and texts by latent semantic analysis. Discourse Processes, 25(2-3), 309-336.
Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011). Principles of sensorimotor learning. Nature Reviews Neuroscience, 12, 739-751.
Wood, W., & Eagly, A. H. (2012). Biosocial construction of sex differences and similarities in behavior. In J. M. Olson & M. P. Zanna (Eds.), Advances in experimental social psychology (Vol. 46, pp. 55-123). UK: Elsevier.
Woodman, T., & Hardy, L. (2003). The relative impact of cognitive anxiety and self-confidence upon sport performance: Meta-analysis. Journal of Sport Sciences, 21, 443-457.
Wrzesien, M., & Alcaniz-Raya, M. (2010). Learning in serious virtual worlds: evaluation of learning effectiveness and appeal to students in the E-Junior project. Computers and Education, 55(1), 178-187.
Wulf, G. (2007). Attention and motor skilllLearning. Champaign, IL: Human Kinetics.
Wyer, R. S., & Srull, T. K. (1989). Memory and cognition in its social context. Hillsdale, NJ: Erlbaum.
Yan, J. H. (2010). Cognitive styles affect choice response time and accuracy. Personality and Individual Differences, 48(6), 747-751.
Yang, C., Potts, R., & Shanks, D. R. (2017). Metacognitive unawareness of the errorful generation benefit and its effects on self-regulated learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(7), 1073-1092.
Yiend, J. (2010). The effects of emotion on attention: A review of attentional processing of emotional information. Cognition and Emotion, 24(1), 3-47.
Yogev‐Seligmann, G., Hausdorff, J. M., & Giladi, N. (2008). The role of executive function and attention in gait. Movement disorders: Official journal of the Movement Disorder Society, 23(3), 329-342.
Zarić, D., Gojković, Z., Sporiš, G., & Madić, D. (2018). Health-related fitness in preschool children: Difference between organized and unorganized physical activity. Exercise and Quality of Life, 10(1), 29-34.
Zawadzka, K., Simkiss, N., & Hanczakowski, M. (2018). Remind me of the context: Memory and metacognition at restudy. Journal of Memory and Language, 101, 1-17.
Zhang, L. (in press). “Hands-on” plus “inquiry”? Effects of withholding answers coupled with physical manipulations on students' learning of energy-related science concepts. Learning and Instruction. Retrieved from https://www.sciencedirect.com/science/article/pii/S0959475217305455
Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166-183.