研究生: |
張正杰 Chang Cheng-Chieh |
---|---|
論文名稱: |
高中生個人信念、環境偏好與認知負荷在網路 學習上之效應 The effects of personal beliefs, environmental preferences and cognitive load on the web-based learning among high school students |
指導教授: |
楊芳瑩
Yang, Fang-Ying |
學位類別: |
博士 Doctor |
系所名稱: |
地球科學系 Department of Earth Sciences |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 中文 |
論文頁數: | 208 |
中文關鍵詞: | 個人知識認識信念 、網路學習環境偏好 、網頁式學習 、徑路分析 |
英文關鍵詞: | epistemological beliefs, beliefs about web-based learning, web-based learning, path analysis |
論文種類: | 學術論文 |
相關次數: | 點閱:267 下載:0 |
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本研究嘗試透過問卷量表調查,由高中生「個人知識認識信念」、「網路學習信念」、「網路學習環境偏好」與「認知負荷」等四個量表,由心理與情意層面來探討影響高中生網路學習成效的因素。研究對象為剛升二年級的基隆市高中生,2006年三個班人數共102人,2007年三個班人數共98人,進行為期四週的網路合作學習課程,課程內容攸關全球暖化之議題。高中生個人知識認識信念量表係參考(Schommer’s Episetmology Questionnaire, SEQ)量表,發展出李克特五分量表(Revised Episetmology Questionnaire, REQ),用以瞭解學生的知識與學習信念。認知負荷方面係由學生認知負荷自評表(Self-rating Measures of Cognitive Load, SMCL)來測量學生在網路學習課程中,付出的心智努力與心理負荷程度。本研究自行發展兩個量表,(一)網路學習信念量表(Beliefs about Web-based Learning, BWL),網路學習信念理論基礎源自於計畫性行為理論(Theory of Planned Behavior, TPB);(二)網路學習環境偏好(Web-based Learning Environment Preference ,WLEP) 問卷,係根據Perry所強調之學習環境元素,以及Mioduser 等人針對網路學習環境所做的類別分析研究,而後發展出來。另外,學習成效方面主要以線上測驗與語意流程圖(Flow map method)方式來當作學習成效的指標。最後利用徑路分析(path analysis)統合上述相關因素,建立架構出影響數位學習成效的解釋模式。
研究結果發現:(一)高中生網路學習課程後,在線上測驗分數與語意流程圖中的概念數皆有顯著的進步;(二)徑路分析的結果顯示「網路學習信念」、「學生個人認知負荷」與「學生個人網路學習環境偏好」直接影響到學習成效,而「個人知識認識信念」透過「網路學習信念」與「網路學習環境偏好」可能間接影響到學習成效。
最後,本研究建議未來規劃設計網路學習課程的教學者:(一)設計者需考量在網路習環境中的教材內容與多元學習環境可能會造成學習者的認知負荷,多媒體教材須酌量簡化配合;(二)高中生認為網路學習並非快速,或許配合傳統的雙重教學環境下,學習效果將會更佳;(三)學生網路搜尋的技巧與方式須事先給予訓練或教導;(四)高中生樂於在網路學習環境中進行互動交流,並且偏好具有結構性、以概念學習為主的網路課程設計;在認知過程方面首重於概念的連結與問題解決,互動形式方面則較喜歡與非同步的專家或教師溝通,及與同儕討論區的互動。這些都是本研究針對未來高中生網路課程設計時所給予的建議,以期能有效率地提升學生的學習成效。
Abstract
This study aims to explore factors that influence senior high school students’ web-based learning by measuring personal epistemological beliefs, beliefs about web learning, preferences about web-based learning environment and cognitive load using Likert-Scale questionnaires. Two hundred participants in the 11th grade came from an academic senior high school in Keelung city. Each two of them were paired as a team to complete a four-week online curriculum on the topic of global warming. To examine students’ epistemological beliefs, a 5-point Revised Epistemology Questionnaire (REQ) was developed based on Schommer’s Epistemology Questionnaire (SEQ), and a self-rating measure of cognitive load (SMCL) was developed to measure students’ mental efforts for studying the online curriculum. In addition, two other questionnaires were modified based on previous studies to probe beliefs about web-based learning (BWL) and students’ preferences about web-based environments (WLEP). Concept achievements as the outcome of students’ web-based learning were indicated by online tests and the flow map method. To integrate these above-mentioned factors, a path analysis was conducted to establish the explainable model on web-based learning outcome.
The results show that there were significant improvements on online test and the concept achievements measured by the flow map method after the web-based curriculum. The path analysis shows the learning outcome was directly affected by students’ beliefs about online learning, cognitive loads and their preferences about web-based environments. Besides, it was found that students’ epistemological beliefs indirectly affected students’ learning outcome.
Several recommendations are made for future web-based curriculum design. First of all, taking into consideration students’ cognitive loads resulting from the content structure and the multi-media instructions embedded in the digital learning environments, the teaching and learning materials should be simplified. Second, based on students’ opinions that online study is not always effective, it is suggested that web-based instructions are better to cope with traditional instructions. Third, students need to be trained with web searching strategies. Fourth, an effective web-based curriculum should make use of senior high school students’ willingness of having interacts with other members within web learning environment and their preference of structured and concept-based learning programs. Finally, it is important to connect concepts learning with problem solving activities. For the interactive aspect, web-based instructions should encourage students to consult experts or instructors.
參考資料
Aleven, V., Stahl, E., Schworm, S., Fischer, F., & Wallace, R. (2003). Help seeking and help design in interactive learning environments. Review of Educational Research, 73, 2773, o
Alavi, M., & Leidner, D. E. (2001). Research commentary: technology-mediated learning a call for greater depth and breadth of research. Information Systems Research, 12(1), 1-10.
Alavi, M., George, M. M., & Yoo, Y.(2002). A comparative study of distributed learning environments onlearning outcomes, Information Systems Research, 13, 4, 404-415.
Anderson, O. R., & Demetrius, O. J. (1993). A flow-map method of representing cognitive structure based on respondents arrative using science content. Journal of Research in Science Teaching, 30, 953-969.
Ainsworth, S. (1999). The functions of multiple representations. Computers and Education, 33, 131–152.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
Ajzen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. Journal of Applied Social Psychology, 32, 665-683
Atkinson, R. C., & Raugh, M. R. (1975). An application of the mnemonic-keyword method to the acquisition of a Russian vocabulary. Journal of Experimental Psychology: Human Learning and Memory, 104,126–133.
Baddeley, A. (1992). Is working memory working? The fifteenth Bartlett lecture. Quarterly Journal of Experimental Psychology, 44A, 1 44A
Baddeley, A. (2001). Is workingmemory still working? American Psychologist,
56, 851 ican
Baddeley, A., & Andrade, J. (2000). Working memory and the vividness of
imagery. Journal of Experimental Psychology: General, 129, 12629,
Baddeley, A., Gathercole, S., & Papagno, C. (1998). The phonological loop
as a language learning device. Psychological Review, 105, 15805, o
Baddeley, A., & Hitch, G. (1974). Working memory. In G. H. Bower (Ed.),
Psychology of learning and motivation (Vol. 8, pp. 17earning and motiva
Academic.
Bagui, S. (1998). Reasons for increased learning using multimedia. Journal of educational multimedia and hypermedia, 7(1), 3-18.
Barsalou, L. (2003). Situated simulation in the human cognitive system.
Language and Cognitive Processes, 18, 5138, ge
Barsalou, L.W., Solomon, K. O., &Wu, L. L. (1999). Perceptual simulation
in conceptual tasks. In M. K. Hiraga, C. Sinha, & S. Wilcox (Eds.), Cultural,
psychological, and typological issues in cognitive linguistics (pp.209ogica. Amsterdam: John Benjamins.
Baxter Magolda, M. B. (1992). Knowing and reasoning in college: Gender-related patterns in students’ intellectual development. San Francisco: Jossey-Bass.
Baxter Magolda, M. B. (2004). Evolution of a constructivist conceptualization of epistemological reflection. Educational Psychologist, 39(1), 31-42.
Belenky, M. F., Clinchy, B. M., Goldberger, N. R., & Tarule, J. M. (1986). Women’s ways of knowing: The development of self, voice, and mind. New York: Basic Books.
Bell, B. & Cowie, B. (2001). The characteristics of formative assessment in science education , Science Education, 85(5), 536-553.
Bendixen, L. D. (2002). A process model of epistemic belief change. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 191-208). Mahwah, NJ: Lawrence Erlbaum.
Bendixen, L. D., & Rule, D. C. (2004). An integrative approach to personal epistemology: A guiding model. Educational Psychologist, 39(1), 69-80.
Bendixen, L. D., Schraw, G., & Dunkle, M. E. (1998). Epistemic beliefs and moral reasoning. The Journal of Psychology, 132(2), 187-200.
Bischoff, P. J., & Anderson, O. R. (2001). Development of knowledge frameworks and higher order cognitive operations among secondary school students who studied a unit on ecology. Journal of Biological Education, 35(2), 81-88.
Braten, I., & Stromso, H. I. (2006c). Epistemological beliefs, interest, and gender as predictors of Internet-based learning activities. Computers in Human Behavior, 22, 1027–1042.
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
Black, P. & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education, 5(1), 7-74.
Bloom, B. S., et al., (Eds.) (1956). Taxnomy of Educational Objectives: Cognitive domain. New York: DavidMcKay.
Bryant, K., Campbell, J., & Kerr, D. (2003) .Impact of web based flexible learning on academic performance in information systems, Journal of Information Systems Education, 14 141-50.
Buchana, T. (2000). The efficacy of a World-Wide Web mediated formative assessment. Journal of Computer Assisted Learning, 16(3), 193-200.
Bunderson, C. V. (2003). Four framework for viewing blended learning cased comments and critique. The Quarterly Review of Distance Education, 4(3), 279-288
Burnham, K. P., and D. R. Anderson. 1998. Model selection and inference: a practical information-theoretic approach. Springer-Verlag, New York, New York, USA. 353 pp.
Crawley, F. E. (1990). Intentions of science teachers to use investigative teaching methods: Atest of the theory of planned behavior. Journal of Research in Science Teaching, 27, 685-697.
Crawley, F. E., & Koballa, T. R. (March, 1992). Attitude/behavior change in science education: Parti-models and methods. Paper presented at the Annual Meeting of the National Association for Research in Science Teaching, Boston, MA.
Collins,B. (1995). Anticipating the impact of multimedia in education : Lessons form the literature,Computers in Adult Education and Training, 2 , 136-149.
Cooper, H., & Findley, M. (1982). Expected effect sizes: Estimates for statistical
power analysis in social psychology. Personality and Social Psychology Bulletin,
8, 168-173.
Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8(4), 293-332.
Chall, J. S. (2000). Chall’s book backs teachercentered style. Reading Today, 18(2), 33.
Chang, C. Y. (2003). Teching earth sciences: Should we implement teacher-director or student-controlled CAI in secondary classroom? International Journal of Science Education,25(4), 427-438.
Chang, C. C., Yang, F. Y. & Tsai, C. C. (2005). An analysis of the web-based learning environment for earth science education in Taiwan.Paper presented in the 2005 ED-MEDIA – World conference on educational multimedia, hypermedia & telecommunications,Montreal, CA.
Chang, C. Y., & Tsai, C. C.(2005). The interplay between different forms CAI and students’preferences of learning environment in the secondary class. Science Education, 89, 707-742.
Clarebout, G., Elen, J., Luyten., & Bamps, H. (2001). Assessing Epistemological Beliefs:Schommer’s Questionnaire Revisited. Educational Research and Evaluation .1, (7) 1, 53-77.
Clark, H. H.,&Chase,W. G. (1972). On the process of comparing sentences against pictures. Cognitive Psychology, 3, 472–517.
Clark, J. M. & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149-210.
Clinchy, B. M. (2002). Revisiting women’s ways of knowing. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 63-87). Mahwah, NJ: Lawrence Erlbaum.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences(2nd ed.). Hillsdale, NJ: Erlbaum.
Cooper, H., & Findley, M. (1982). Expected effect sizes: Estimates for statistical
power analysis in social psychology. Personality and Social Psychology Bulletin,
8, 168-173.
Craig, S. D., Gholson, B., & Driscoll, D. M. (2002). Animated pedagogical agents in multimedia educational environments: Effects of agent properties, picture features, and redundancy. Journal of Educational Psychology, 94, 428-434.
Clements, D. H. (1999). sychologycoll, D. M. (2002). Animated pedaContemporary Issues in Early Childhood, 1, 451, m
Craik, F. I.M.,&Lockhart, R. S. (1972). Levels of processing: A framework for memory research. Journal of Verbal Learning and Verbal Behavior,11, 6711, l
Czermiak, C. M., Lumpe, A. T., Haney, J. J., & Beck, J. (1999). Teachers’ beliefs about using educational technology in the science classrom, International Journal of Educational Technology ,2, pp. 16.
David, M., Rafi, N., Avigail, O.,& Orly, L. (1999). Web-based learning environments(WBLE):Current implementation and evolving trends. Joural of Network and Computer Applications, 22, 233-247.
DeBacker, T. K., Beesley, D., & Thoma, H. M. (2008). The challenge of measuring epistemic beliefs: An analysis of three self-report instruments. Journal of Experimental Education, 76(3), 281-312.
Demetriadis, Stavros., & Andreas, P.(1999). Novice Student Learning in Case Based Hypermedia Environment: A Quantitative Study. Journal of Educational Multimedia and Hypermedia, 8(2), 241-269.
Dillon, A. (2000). Designing a better learning environment with the web: problems and prospects. Cyperpsychology & behavior, 3, 97sych
Dochy, F. (1994). Prior knowledge and learning. In T. Husen & T. N. Postlethwaite (Eds.), International Encyclopedia of Education (Second edition, pp.4698-4702). Oxford/ New York: Pergamon Press.
Engelkamp, J. (1998). Memory for actions. Hove, UK: Psychology Press.
Flavell, J. H. (1979). Metacognition and cognition monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911.
Flavell, J. H., & Wellman, H. M. (1977). Metamemory. In K. Hogan, Perspectives on the development of memory and cognition. Hillsdale: Erlbaum.
Flecknoe, M. (2002).How can ICT help us to improve education? Innovations in Education and TeachingInternational, 39,271-279.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gardner, L., Sheridan, D., & white, D. (2002). A web-based learning and assessment system to support flexible education. Journal of Computer Assisted Learning, 18(2), 125-136.
Garber, P., & Goldin-Meadow, S. (2002). Gesture offers insight into problem-solving in adults and children. Cognitive Science, 26, 8176, iv
Gilhooly, K. J., Logie, R. H.,Wetherick, N. E., &Wynn, V. (1993).Working memory and strategies in syllogistic-reasoning tasks. Memory & Cognition, 21, 1151, &
Glenberg, A. M., Gutierrez, T., Levin, J., Japuntich, S., & Kaschak, M. P. (2004). Activity and imagined activity can enhance young childrenition, pp.4698-4702). OxfJournal of Educational Psychology, 96,4246,al
Glenberg, A. M., & Kaschak, M. P. (2002). Grounding language in action.Psychonomic Bulletin & Review, 9, 558, ono
Gerjets, P. & Scheiter, K. (2003). Goal configurations and processing strategies as moderators between instructional design and cognitive load : Evidence from hypertext-based instruction. Educational Psychnology, 38(1), 33-41.
Gipps, C. (1994). Beyond testing: Towards a theory of educational assessment.
London: The Falmer Press.
Goldberger, N. R., Tarule, J. M., Clinchy, B. M., & Belenky, M. F. (Eds.) (1996). Knowledge, difference, and power: Essays inspired by women’s ways of knowing. New York: Basic Books.
Hammer, D., & Elby, A. (2002). On the form of a personal epistemology. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 169-190). Mahwah, NJ: Lawrence Erlbaum.
Hamid, A. A. (2002). E-learning: Is it the or the learning that matters? Internet and Higher Education,4 ,311-316.
Hartley, K., & Bendixen, L. D. (2001). Educational research in the internet age: examining the role of individual characteristics.Educational Researcher, 30, 22.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with reading (Fifth ed.). New York: Macmillan.
Hofer, B. K. (2000). Dimensionality and disciplinary differences in personal epistemology. Contemporary Educational Psychology, 25, 378-405.
Hofer, B. K. (2001). Personal epistemology research: Implications for learning and teaching. Journal of Educational Psychology Review, 13(4), 353-383.
Hofer, B. K. (2004a). Introduction: Paradigmatic approaches to personal epistemology. Educational Psychologist, 39(1), 1-3.
Hofer, B. K. (2004b). Epistemological understanding as a meta-cognitive process: Thinking aloud during online searching. Educational Psychologist, 39(1), 43-55.
Hofer, B. K. (2004c). Exploring the dimensions of personal epistemology in differing classroom context: Student interpretations during the first year of college. Contemporary Educational Psychology, 29(2), 129-163.
Hofer, B. K., & Pintrich, P. R. (1997). The development of epistemological theories: Beliefs about knowledge and knowing and their relation to learning. Review of Educational Research, 67(1), 88-140.
Hofer, B. K., & Pintrich, P. R. (Eds.) (2002). Personal epistemology: The psychology of beliefs about knowledge and knowing. Mahwah, NJ: Lawrence Erlbaum.
Iding, M. (2000). Is seeing believing? Features of effective multimedia for learning science. International Journal of Instructional Media, 27(4), 403-415.
Irons, L. R., Keel, R., & Bielema, C. L.(2002). Blended learning and learner satisfaction: Keys to user acceptance? USDLA Journal, 16(12).
Jehng, J. J, Johnson, S. D., & Anderson, R. C. (1993). Schooling and students’ epistemological beliefs about learning. Contemporary Educational Psychology, 18, 23-35.
Jim, K.(2001) Stimulation collaboration and discussion in online learning environments. Internet and Higher Education, 4, 119-124.
Jonassen, D. H., Peck, K. L. & Wilson, B. G. (2000). Learning with technology: a constructivist perspective. New Jersey: Practice Hall.
Jacobson, M. J., & Spiro, R. J. (1995). Hypertext learning environments, cognitive flexibility, and the transfer of complex knowledge: An empirical investigation. Journal of Educational Computing Research, 12, 301-333.
Jöreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S.Long (Eds.), Testing structural equation models (pp. 294-316). Newbury Park, CA: Sage.
Reeves, T.C., & Reeves, P.M. (2001). A model of the effective dimensions of interactive learning on the web. Retrieved from http://itech1.coe.uga.edu
Kalyuga, S., Chandler, P., & Sweller, J. (1999). Managing split-attention and redundancy in multimedia instruction. Applied Cognitive Psychology, 13, 351-372.
Kardash, C. M., & Howerll, K. L. (2000). Effects of epistemological belies and toic-specific beliefs on undergraduates’ cognitive and strategic processing of dual positional text. Journal of Educational Psychology, 92, 524of Ed
Kintsch,W. (1998). Comprehension: A paradigm for cognition. Cambridge,UK: Cambridge University Press.
Koriat, A., & Pearlman-Avnion, S. (2003). Memory organization of action
events and its relationship to memory performance. Journal of Experimental Psychology: General, 132, 43532,
Kosslyn, S. M. (1994). Image and brain: The resolution of the imagery debate.Cambridge, MA: MIT Press.
Kekkonen-Moneta, S., & Moneta, G. B. (2002) . E-learning in Hong Kong: Comparing learning outcomes in online multimedia and lecture versions of an introductory computing course, British Journal of Educational Technology, 33 ,423-433.
Ko, S., & Rossen. S. (2001). Teaching online: A Practical guide. Boston: Houghton Mifflin Co.
King, P. M., & Kitchener, K. S. (1994). Developing reflective judgment: Understanding and promoting intellectual growth and critical think in adolescents and adults. San Francisco: Jossey-Bass.
Kinney, N. (2001). A guide to design and testing in online psychology courses, Psychology Learning and Teaching, 1 , 16-20.
King, P. M., & Kitchener, K. S. (2002). The reflective judgment model: Twenty years of research on epistemic cognition. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 37-61). Mahwah, NJ: Lawrence Erlbaum.
King, p. M., & Kitchener, K. S. (2004). Reflective judgment: Theory and research on the development of epistemic assumptions through adulthood. Educational Psychologist, 39(1), 5-18.
Kitchener, K. S. (1983). Cognition, metacognition, and epistemic cognition: A three-level model of cognitive processing. Human Development, 26, 222-232.
Kuhl, J. (1985). Volitional mediators of cognitive-behavior consistency: Self-regulator processes and action versus state orientation. In J. Kuhl & J. Beckman (Eds.), Action control: From cognition to behavior (pp. 101-128). New York: Springer-Verlag.
Kuhl, J. (2000). A functional-design approach to motivation and self-regulation: The dynamics of personality systems and interactions. In M. Boekaerts & P. R. Pintrich (Eds.), Handbook of self-regulation (pp. 111-169). San Diego, CA: Academic Press.
Kuhn, D., Cheney, R., & Weinstock, M. (2000). The development of epistemological understanding. Cognitive Development, 15, 309-328.
Laurie, P. D., & Steve, T. (1999) The Framework for DIRECTED Online Learning Environments. The internet and higher Education, 2(1), 55-67.
Leahy, W., Chanlder, P., & Sweller, J. (2003). When auditory presentations should and should not be a component of Multimedia instruction. Applied Cognitive Psychology, 17, 401-418.
Leidner, D. E. & Jarvenpaa, S. L. (1995).The use of information technology to enhance management school education: A theoretical view, MIS Quarterly, 19 , 265-291.
Lin, C., Cheng, Y., Chang, Y., & Hu, R. (2002). The use of internet-based learning in biology, Innovations in Education and Teaching International, 39 ,237-242.
Linn, M. C., Clark, D., & Slotta, J. D. (2003). WISE design for knowledge integration. Science Education, 87, 517
Lim, D. H., & Kim, H. (2003). Motivation and learner characteristics affecting online learning and learning application. Journal of Educational Technology Systems, 31(4), 423-439.
Leu, D. J. (2000). Literacy and technology: Deictic consequences for literacy education in an information age. In M. L. Kamil, P. B. Mosenthal, P. D. Pearson, & R. Barr (Eds.), Handbook of reading research (Vol. III, pp. 743-770). Mahwah, NJ:Erlbaum.
Lumpe, A. T., & Chambers, E. (2001). Assessing teacher’s context beliefs about technology use. Journal of Reseach on Technology in Education, 34, 93-107.
Marcus, A., & Gould, E. W. (2000). Crosscurrents: cultural dimensions and global web user-interface design. Interactions, 7, 32
Marschark, M., & Hunt, R. R. (1989). A reexamination of the role of imagery in learning andmemory. Journal of Experimental Psychology: Human Learning and Memory, 15, 7105, l
Mayer, R. E., & Massa, L. J. (2003). Three facets of visual and verbal learners: Cognitive ability, cognitive style, and learning preference. Journal of Educational Psychology, 95, 8335, io
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38, 4338,
Moyer, P. S. (2002). Are we having fun yet?How teachers usemanipulatives
to teachmathematics. Educational Studies inMathematics, 47, 1757, io
Martinez, M., & Bunderson, C. V. (2000). Building interactive World Wide Web (Web) learning environments to match and support individual learning differences. Journal of Interactive Learning Research, 11, 163–195.
Martin P. & P. Eklund. (2003a). Knowledge Representation, Sharing and Retrieval on the Web. In N. Zhong, J. Lin, Y. Yao Eds., Web Intelligence. Springer-Verlag.
Mayer, R. E. & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83(4), 484-490.
Mayer, R. E. (1992). Cognitive and instruction: Their historic meeting within educational psychology. Journal of Educational Psychology, 84(4), 405-412.
Mayer, R. E. (1997). Multimedia learning: Are we asking the right questions. Educational Psychologist, 32, 1-19.
Mayer, R. E. (1999). Multimedia aids to problem-solving transfer. Int. J. Educ. Res. 31: 661–624.
Mayer, R. E. (2001). Multimedia learning. New York: Cambridge University Press.
Mayer, R. E., & Sims, V. K. (1994). For whom is a picture worth a thousand words? Extensions of a dual-coding theory of multimedia learning. Journal of Educational Psychology, 86(3), 389-401.
Mayer, R. E., Steinhoff, K., Bower, G. & Mars, R. (1995). A generative theory of textbook design: Using annotated illustrations to foster meaningful learning of science text. Educational Technology Research and Development, 43, 31-44.
Meyer, A., & Rose, D. H. (1998). Learning to read in a computer age, Peabody, MA: Center for Applied Special Technology.
Mioduser, D., Nachmias, R., Oren, A., & Lahav, O. (1999). Web-based learning environments (WBLE): current implementation and evolving trends. Journal of Network and Computer Applications, 22, 233f Net
Milheim, W. D., & Martin, B. L. (1991). Theoretical bases for the use of learner control : Three different perspectives,Journal of Computer-Based Instruction, 18 , 99-105.
Mousavi, S., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. Journal of Educational Psychology, 87, 319-334.
Najjar, L. J. (1996). Multimedia information and learning. Journal of Educational Multimedia and Hypermedia, 5(2), 129-150.
Nathan, M. J., Kintsch, W., & Young, E. (1992). A theory of algebra-word-problem comprehension and its implications for the design of learning environments. Cognition and Instruction, 9, 329, tio
Nathan, M. J., & Resnick, L. B. (1994). Less can be more: Unintelligent tutoring based on psychological theories and experimentation. In S.Vosniadou, E. De Corte, & H. Mandl (Eds.), Technology-based learning environments (pp. 183gy-based learning environments
Nicol, D. J., Minty, I., & Sinclari, C. (2003). The social dimensions of online learning, Innovations in Education and Teaching International, 40 , 270-280.
Novak, J. D., & Musonda, D. (1991). A twelve-year longitudinal study of science concept learning. American Education Research Journal, 28, 117-153.
Nussbaum, E. M., & Bendixen, L. D. (2003). Approaching and avoiding arguments: The role of epistemological beliefs, need for cognition, and extraverted personality traits. Contemporary educational Psychology, 28, 573-595.
Offir, B., Barth, I., Lev, Y. & Shteinbok, A. (2003). Teacher-student interactions and learning outcomes in a distance learning environment. The internet and higher Education, 6, 65-75
Paas, F. G. W. C., & Van Merriennboer, J. J. G. (1994). Measurement of cognitive load in instructional research. Perceptual & Motor Skills, 79, 419-430.
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design:Recent deve-lopments. Educational Psychologist, 38(1), 1-4.
Paivio, A. (1969).Mental imagery in associative learning and memory. Psychological Review, 76, 2416, lo
Paivio, A. (1975). Coding distinctions and repetition effects in memory. In G. H. Bower (Ed.), Psychology of learning and motivation (Vol. 9, pp.179earning and motivation and r
Paivio, A. (1986). Mental representations: A dual coding approach. Oxford, England: Oxford University Press.
Paulsen, M. B., & Wells, C. (1998). Domain differences in the epistemological beliefs of college students. Research in Higher Education, 39(4), 365-384.
Perry, W. G. Jr. (1970). Forms intellectual and ethical development in the college years: A scheme. Holt, New York: Rienhart & Winston.
Piaget, J. (1970). Genetic Epistemology. New York: Columbia University.
Piaget, J. (1973). Memory and intelligence: New York: BasicBooks.
Picciano, A. G. (2002). Beyond student perceptions: issues of interaction, presence, and performance, and performance in an online course.Journal of Asynchronous Learning Networks, 6, 21 of
Piccoli, G., Ahmad, R., & Lves, B. (2001) Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training, MIS Quarterly, 25(4), 401-425.
Ponzurick, T. G., France, R. F., & Logar, C. M. (2000). Delivering graduate marketing education: An analysis of face-to-face versus distance education, Journal of Marketing Educatoin, 22(3), 180-187.
Paxton, R. J. (1999). A deafening silence : History textbooks and the students who read them. Review of Educational Research, 69, 315-339.
Qian, G., & Alvermann, D. (1995). Role of epistemological beliefs and learned
helplessness in secondary school students' learning science concepts from text.
Journal of Educational Psychology, 87(2), 282-292.
Rieber, L. (1997). Animation as a distracter to learning. International Journal of Instructional Media, 23(1), 53-57.
Roth, W. M., & Roychoudhury, A. (1994). Science discourse through collaborative concept mapping: New perspectives for the teacher. International Journal of Science Education, 16, 437-455.
Rouet, J. F. (2006). The skills of document use: From text comprehension to Web-based learning. Mahwah, NJ: Erlbaum.
Romiszowski, A. J. (2004). How s the E-learning baby? Factors leading to success or failure of an educational technology innovation, Educational Technology, 5-27.
Sadoski, M. & Paivio, A. (2004). A dual coding theoretical model of reading. Theoretical models and processes of reading (5th ed.) (pp. 1329-1362).
Schommer, M. (1990). Effects of beliefs about the nature of knowledge on comprehensive. Journal of Educational Psychology, 82(3), 498-504.
Schommer, M. (1993a). Comparisons of beliefs about the nature of knowledge and learning among postsecondary students. Research in Higher Education, 34(3), 355-369.
Schommer, M. (1993b). Epistemological development and academic performance among secondary students. Journal of Educational Psychology, 85(3), 406-411.
Schommer, M. (1994). Synthesizing epistemological belief research: Tentative understanding and provocative confusions. Educational Psychology Review, 6(4), 293-318.
Schommer, M., & Dunnell, P. A. (1997). Epistemological beliefs of gifted high school students. Roeper Review, 19(3), 153-156.
Schommer, M., Calvert, C., Gariglietti, G., & Bajaj, A. (1997). The development of epistemological beliefs among secondary students: a longitudinal study. Journal of Educational Psychology, 89(1), 37-40.
Schommer, M., Crouse, A., & Rhodes, N. (1992). Epistemological beliefs and mathematical text comprehension: Believing it is simple does not make it so. Journal of Educational Psychology, 84(4), 435-443.
Schommer-Aikins, M. (2002). An evolving theoretical framework for an epistemological belief system. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 103-118). Mahwah, NJ: Lawrence Erlbaum.
Schommer-Aikins, M. (2004). Explaining the epistemological belief system: Introducing the embedded systemic model and coordinated research approach. Educational Psychologist, 39(1), 19-29.
Schommer-Aikins, M., Duell, O. K., & Barker S. (2003). Epistemological beliefs across domains using Biglan’s classification of academic disciplines. Research in Higher Education, 44(3), 347-366.
Schommer-Aikins, M., Duell, O. K., & Hutter, R. (2005). Epistemological beliefs, mathematical problem-solving beliefs, and academic performance of middle school students. The Elementary School Journal, 105(3), 289-304.
Schommer-Aikins, M., & Easter, M. (2006). Ways of knowing and epistemological beliefs: Combinedeffect on academic performance. Educational Psychology, 26, 411–423.
Schommer-Aikins, M., Mau, W., Brookhart, S., & Hutter, R. (2000). Understanding middle students’ beliefs about knowledge and learning using a multidimensional paradigm. Journal of Educational Psychology, 94(2), 120-127.
Schommer-Aikins, M., & Hutter, R. (2002). Epistemological beliefs and thinking about everydaycontroversial issues. The Journal of Psychology: Interdisciplinary and Applied, 136, 5–20.
Schraw, C. (2001). Current themes and future directions in epistemological research: A commentary. Educational Psychology Review, 13(4), 451-464.
Schraw, C., Bendixen, L. D., Dunkle, M. E. (2002). Development and validation of the epistemic belief inventory (EBI). In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 261-275). Mahwah, NJ: Lawrence Erlbaum.
Schraw, G., & Sinatra, G. M. (2004). Epistemological development and its impact on cognition in academic domains. Contemporary Educational Psychology, 29(2), 95-102.
Schraw, G., Dunkle, M. E., & Bendixen, L. D. (1995). Cognitive processes in well-defined and ill-defined problem solving. Applied Cognitive Psychology, 9(6), 523-538.
Schwab, J. (1973). The practical 3: Translation into curriculum. School Review 81(4), 501 – 522.
Schaik, P. V., Barker, P., & Beckstrand, S. (2003). A comparison of on-campus and online course deliverymethods in southern Nevada, Innovations in Education and Teaching International,40(1), 5-15.
Sedlmeier, P., & Gigerenzer, G. (1989). Do studies of statistical power have an effect
on the power of studies? Psychological Bulletin, 105, 309-316.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner’s guide to structural equation
modeling (2nded.). Mahwah, NJ: Erlbaum.
Shin, E. C., Schallert, D. L., & Savenye, W. C. (1994). Effects of learner control, advisement, and prior knowledge on young students’ learning in a hypertext environment. Educational Technology Research & Development, 42(1), 33-46.
Singh, H. (2003). Building effective blended learning programs. Eucational Technology, 43(6), 51-54
Smith, P., & Dillon, C. (1999). Comparing distance learning and classroom learning: conceptual considerations. The American Journal of Distance Education, 13, 6eric
Sorden, S. D (2005). A Cognitive Approach to Instructional Design for Multimedia Learning. Informing Science Journal, 8, 263-279.
Solomon, G., 1999。Callaborative learning with technology. Tehcnology & Learning, 1. 56。
Sherry, L. (1995) . Issues in distance learning, International Journal of Educational Telecommunications,1(4), 337-365.
Saariluoma, P. (1992). Visuospatial and articulatory interference in chess playersearning.tual consideraApplied Cognitive Psychology, 6,77689.
Sanders, A. F., & Schroots, J. J. F. (1969). Cognitive categories and memory
span: III. Effects of similarity on recall. Quarterly Journal of Experimental
Psychology, 21, 2121,
Schnotz,W. (2002). Towards an integrated viewof learning from text and visual
displays. Educational Psychology Review, 14, 1014, io
Spires, H. A., Donley, J., & Penrose, A. M. (1990). Prior knowledge activation: Inducing text engagement in reading to learn. Paper presented at the American Educational Research Association, Boston, MA.
Steffens, M. C., Buchner, A., & Wender, K. F. (2003). Quite ordinary retrieval cues may determine free recall of actions. Journal of Memory and Language, 48, 3998, l
Sugar, W., Crawley, F., & Fine, B. (2004). Examining teachers’ decisions to adopt new technology. Educational Technology and Society, 7(4), 201-213.
Swan, K. (2001). Virtual interaction: Design factors affecting student satisfaction and perceived learning in asynchronous online courses.Distance Education, 22, 306Educa
Sweller, J. & Chanadler, P. (1994). Why some material is difficult to learn. Cognition and Instruction, 12(3), 185-233.
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4, 295-312.
Sweller, J. (1999). Instructional Design in Technical Areas, ACER, Camberwell, Australia.
Sweller, J., van Merrienboer J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-296.
Turoff, M., & Hiltz, S. R. (1995). Software design and the future of the virtual classroom, J. Inform. Tech.Tearcher, 4(2), 197-215.
Tobin, K. (1998). Qualitative perceptions of learning environments on the world wide web. Learning Environment Research, 1, 139-151.
Tsai, C. C. (1998). An analysis of Taiwanese eighth graders’ science achievement, scientific epistemological beliefs and cognitive structure outcomes after learning basic atomic theory. International Journal of Science Education, 20, 413-425.
Tsai, C. C. (2000). Relationships between student scientific epistemological beliefs and perceptions of constructivist learning environments.Educational Research, 42, 193-205.
Tsai, C.-C., & Huang, C.-M. (2002). Exploring students’ cognitive structures in learning science: A review of relevant methods. Journal of Biological Education, 36, 163-169.
Tsai, C. C. (2005). Preferences toward internet-based learning environments: high school students’ perspectives for science learning.Educational Technology & Society, 8, 203-213.
Tulving, E., & Thomson, D. M. (1973). Encoding specificity and retrieval processes in episodic memory. Psychological Review, 80,3520,olo
Tversky, B., Morrison, J. B., & Betrancourt, M. (2002). Animation: Can it facilitate? International Journal of Human& Betrancourt, M., 57, 1 57,
Wagner, S. M., Nusbaum, H., & Goldin-Meadow, S. (2004). Probing the mental representation of gesture: Is handwaving spatial? Journal of Memory and Language, 50, 3950, l
Watson, J. B. (1924). Behaviorism. New York: Norton.
Valcke, M. (2002). Cognitive load:updating the theory?. Learning and Instruction, 12, 147-154.
Valiathan, P. (2002). Blended learning models. Available at http://www.learningcircuits.org/2002/aug2002/valiathan.html
Vaughan, N. (2007). Perspectves on blended learning in higher education. International Journal on E-Learning, 6-1, 81-94.
Van Gerven, P. W. M., Pass, F. G. W. C., Van Merrienboer, J. J. G., & Schmidt, H. G. (2002). Cognitive load theory and aging: effects of worked examples on training efficiency. Learning and Instruction, 12, 87-105.
Van Merriënboer, J. J. G., Kirschner, P. A., & Kester, L. (2003). Taking the load of a learners' mind: Instructional design for complex learning. Educational Psychologist, 38(1), 5-13.
Wang, T. H. (2007). What strategies are effective for formative assessment in an e-Learning environment? Journal of Computer Assisted Learning, 23(3), 171-186.
Weinert, F. (1989). The relation between education and development. International journal of educational research, 13(8), 827l jou
Wierwille, W. W., & Eggmeier, F.L. (1993). Ecommendations for mental workload measurement in a test and evaluation environment. Human Factor, 35, 263-281.
Wiksten, D. L., Patterson, P., Antonio, K., Cruz, D. D. L., & Buxton, B. P. (1998). The effectiveness of an interactive computer program versus traditional lecture in athletic training education, Journal of Athnic Training, 33(3), 238-243.
Wittrock, M. C. (1989). Generative process of comprehension. Educational Psychology, 24, 345-376.
Wood, P. & Lynch, C. (1998). Using guided essays to assess and courage reflective thinking. Assessment Update, 10, 14-15.
Wood, P., & Kardash, C. (2002). Critical elements in the design and analysis of studies of epistemology. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 231-260). Mahwah, NJ: Lawrence Erlbaum.
Wood, P., Kitchener, K. S., & Jensen, L. (2002). Considerations in the design and evaluation of a paper-and-pencil measure of epistemic cognition. In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 277-294). Mahwah, NJ: Lawrence Erlbaum.
Wood, P., & Kardash, C. (2002). Critical elements in the design and analysis of studies of epistemology.In B. K. Hofer & P. R. Pintrich (Eds.), Personal epistemology: The psychology of beliefs aboutknowledge and knowing (pp. 231–260). Mahwah, NJ: Erlbaum.
Yang, F. Y. (2005). Student views concerning evidence and the expert in reasoning a socio-scientific issue and personal epistemology.Educational Studies, 31, 65
Yang, F. Y., Chang, C. C. & Tsai, C. C. (2005). Exploring learner preferences about the web-based learning environment: the content structure, the cognitive process and the forms of interaction. Paper presented in the 2005 ED-MEDIA – World conference on educational multimedia, hypermedia & telecommunications, Montreal, CA.
Yang, F. Y. & Chang, C. C. (2009). Examining High-School Students' Preferences toward Learning Environments, Personal Beliefs and Concept Learning in Web-Based Contexts. Computers & Education. (In press)
Yang, F. Y. & Tsai, C. C. (2008). Investigating learner preferences and beliefs about learning n the web-based context. Computers & Education, 50, 1284-1303.
Zhang, D., & Zhou, L. (2003). E-learning with interactive multimedia, Information Resources Management Journal, 16(4), 1-13.
中文部分
于富雲(2003)。網路學習科技的影響與角色之正規。教育資料與圖書館學,41(1),99-107。
王文科(2005)。教育研究法。台北:五南出版社。
朱澤剛(2000)。教育傳播與科技。台北:師苑出版社。
余民寧(2002)。教育測驗與評量-成就測驗與教學評量。台北:心理出版社。
余民寧(2006)。 潛在變項模式:simplis的應用。 台北: 高等教育出版社。
邱玉菁(2004)。數位學習之學習成果的再思考。教育資料與圖書館學,41(4),561-581。
李世忠、蔡盈秀(2006)。認知負荷與多媒體教材設計之探討。視聽教育雙月刊。47(6),1-19。
李茂能(2007)。 結構方程模式軟體amos之簡介及其在測驗編製上之應用。 台北: 心理出版社。
李蓉欣(2004)。中學地球科學教師教學後設認知能力與個人知識認識信念之相關研究碩士論文。
李建憶、洪式合(2003)。網際網路學習歷程追蹤與對學習成效影響之研究。台南師範學報,35,35-56。
宋曜廷(2000)。先前知識文章結構和多媒體呈現對文章學習的影響。國立臺灣師範大學教育心理與輔導研究所博士論文。
李勝龍(2001)。資訊呈現媒體對高職學習者學習程式語言之影響。國立中央大學資訊管理研究所碩士論文。
吳昌家(2003)。電腦動畫輔助教學對國中生粒子概念學習成效之研究。國立台灣師範大學化學研究所碩士論文。
吳明隆 (2004)。SPSS統計應用實務。松岡出版社。
吳穎沺(2003)。建構主義式的科學學習活動對國小高年級學生認知結構之影響。國立交通大學教育研究所碩士論文。
呂虹霖(2004)。國中學生知識信念、父母期望與學業成就之研究。國立彰化師範大學教育研究所碩士論文。
林佳慶 (2005)。網路學習環境中之科學學習:科學認識觀與網路搜尋策略之探討。國立交通大學教育研究所碩士論文。
林甘敏、陳年興、方國定(2005)。結合傳統與網路教學和純網路教學在學習成效與班級氣氛之比較。當代教育研究季刊。13(4),133-166.
林紀慧(2004)。國小學童知識信念的發展以及學業成績之相關研究。台中師院學報,15,191-206。
林永成(2003)。網路虛擬實驗室在國小自然領域教學之學習成效影響研究。國立台南師範學院資訊研究所碩士輪文。
林清山 譯(1998)。教育心理學—認知取向。台北市:遠流出版社(Educational psychology: A cognitive approach by Richard E. Mayer)
林奇賢(2000)。中小學網路學習環境應用效能評鑑指標初探。 資訊與教育,76,pp. 14-23。
林俊良(2003)。網路輔助高中數學教學之初探。國立交通大學應用數學所碩士論文。
洪逸文(2007)。影響教師資訊融入教學因素之探討:以中學地球科學教師為例。國立台灣師範大學地球科學研究所博士論文。
巫靜宜(2000)。比較網路教學與傳統教學對學習效果之研究-以WORD2000為例。私立淡江大學資訊管理研究所碩士論文。
何宗翰(1998)。主修領域背景對大學生知識信念與學習策略的影響。國立政治大學教育研究所碩士論文。未出版,臺北市。
邱皓政(2003)。結構方程模式:LISREL的理論技術與應用。台北:雙葉。
邱皓政(2004)。 結構方程模式:lisrel的理論、技術與應用。 台北: 雙葉書廊。
邱皓政 (2006)。量化研究法(二):統計原理與分析技術。 台北: 雙葉書廊。
邱皓政 (2008)。統計力分析與樣本數。量化研究學刊,1(2)。
徐易稜 (2001)。多媒體呈現方式對學習者認知負荷與學習成效之影響研究。國立中央大學資訊管理研究所碩士論文。
翁嘉鴻 (2001)。以認知負荷觀點探討聽覺媒體物件之媒體呈現方式對學習成效之影響。國立中央大學資訊管理研究所碩士論文。
張春興 (2002)。心理學原理。台北市:台灣東華書局。
張瓊方(2005)。多媒體教學對在職教師數位教材製作成效之探討。國立臺灣師範大學資訊教育研究所碩士論文,未出版,臺北市。
郭生玉(2004)。教育測驗與評量。精華書局。
郭璟諭(2002)。媒體組合方式與認知型態對學習成效與認知負荷之影響 。國立中央大學資訊管理研究所碩士論文。
崔夢萍、陳怡君(2002)。教學網站之互動學習模式分析與評鑑-以國小自然科教學網站為例。台北市立師範學院初等教育學刊,11,155-184頁。
陳志昌(2003)。不同教學方式下學習成效之研究-網大教學與網大輔助傳統教學之比較。國立中山大學傳播管理研究所碩士論文。
陳昭珍(2003)。數位學習與數位圖書館。師大書苑出版社。
陳明棋(2003)。多媒體網路教學與傳統教學對學習效果之比較-以商業類科為例。教學科技與媒體,63,49-64。
陳年興與楊錦潭 (2006)。數位學習理論與實務。博碩出版社。
陳明溥 (1999)。認知負載對網路化學習之影響,行政院國家科學委員會專題研究計畫,計畫編號: NSC88-2520-S-003-005 ,台北。
陳密桃 (2003)。認知負荷理論及其對教學的啟示。國立高雄師範大學教育系教育學刊,21,29-51頁。
陳彙芳 (1998)。多媒體電腦輔助學習之實驗室研究-探討認知負荷對學習成效之影響。國立中央大學資訊管理研究所碩士論文。
陳萩卿 (2004)。知識信念影響學習運作模式之驗證暨「調整知識信念的教學策略」對國中生學習歷程影響之研究。國立臺灣師範大學教育心理與輔導學系博士論文。
黃芳銘 (2004)。 結構方程式理論與應用。 台北: 五南圖書出版公司。
黃克文 (1996)。認知負荷與個人特質及學習成就之關聯,國立台北師範學院國民教育研究所碩士論文。
莊世爵 (2004)。台灣中學生對於建構主義取向網路學習環境之研究。輔仁大學大眾傳播研究所碩士論文。
杜義文 (2004)。國二學生的網路搜尋策略與成果:檢視知識觀所扮演的角色。國立交通大學教育研究所碩士論文。
壽大衛(2002)。數位學習融入學校之變革領導。科學教育研究與發展季刊。139-154。
歐滄和(2002)。教育測驗與評量。台北。心理出版社。
謝寶媛(2000)。資訊素養網路教學之學習行為與學習成效-以資訊與網路資源利用課程為例。中國圖書館學會會報,65,45-65。