研究生: |
羅勻佐 |
---|---|
論文名稱: |
線上集合反思策略對於大學生反思判斷之影響 Effects of Online Collective Reflection Strategy on College Students’ Reflective Judgment |
指導教授: | 陳明溥 |
學位類別: |
博士 Doctor |
系所名稱: |
資訊教育研究所 Graduate Institute of Information and Computer Education |
論文出版年: | 2017 |
畢業學年度: | 105 |
語文別: | 中文 |
論文頁數: | 130 |
中文關鍵詞: | 反思判斷 、集合反思 、先備知識 、批判思考意向 、從眾效應傾向 |
英文關鍵詞: | reflective judgment, collective reflection, prior knowledge, critical thinking tendency, conformity tendency |
DOI URL: | https://doi.org/10.6345/NTNU202202237 |
論文種類: | 學術論文 |
相關次數: | 點閱:140 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究之目的為探討線上集合反思策略於大學生學習反思判斷之有效性,以及個別差異因素與學習成效間之關係。本研究係採兩種不同文字對談模式設計線上集合反思學習環境;對照組採無同儕參與之線上導引式自我反思學習環境;並以「牛奶與健康」做為反思判斷的爭議課題案例。研究對象為大學營養相關科系三年級學生,有效樣本121人。研究設計採隨機分組設計(randomized-groups design)及內容分析法。自變項包含:線上反思策略(集合反思與導引式自我反思)及個別差異因素(先備知識、批判思考意向與從眾效應傾向);依變項為反思判斷學習成效(反思判斷表現與自覺學習成效)、批判思考意向和從眾效應傾向之改變情形。
研究結果顯示:(1)線上反思策略能有效地提升大學高年級生的反思判斷表現;其中,使用線上集合反思策略的學習者在自覺學習成效上顯著提升;(2)學習者反思判斷表現與先備知識程度的高低呈正相關;(3)學習策略介入前學習者之批判思考意向程度能正面預測學習成效,而構面中的「系統分析能力」對於學習者「反思判斷表現」以及「反思判斷自覺學習成效」具有顯著的正面解釋力,「智識好奇心」對於「反思判斷表現」則呈現負面的解釋力;(4)「線上集合反思策略」有助緩和學習者之「從眾效應傾向」;(5)學習者意見回饋顯示「線上集合反思策略」有助多面向思考、訊息資料解讀、資料搜尋、學習動機,亦有助啟發將反思判斷的概念應用到日常生活中。
The purpose of this study was to examine whether the online collective reflection strategy would present a better outcome on the enhancement of college students’ reflective judgment, as well as to examine whether the individual differences would influence the learning outcomes (reflective judgment performance and self-perceived learning). The mixed methods were employed in this study, which includes randomized-groups design experiment and content analysis. Two types of collective reflection learning tools which were simulated the Facebook and Skype platforms as the experimental groups, while guided self-reflection as the control group. “Milk and Health” was selected as the controversial issue for reflective judgment learning.
One hundred and twenty-one nutrition-majored college juniors participated in this study. The results showed that: (1) all the employed online reflection strategies could enhance the reflective judgment performance of the nutrition-majored college juniors, and learners participated in the collective reflection groups presented better outcomes of their perceived learning; (2) learners’ with higher level of prior knowledge presented higher scores on reflective judgement performance; (3) learners’ reflective judgement performance was associated with the level of individual’s critical thinking tendency. Specifically, the ability of systemetic approaches significantly helped explain the learners’ reflective judgement performance and reflection self-learning. However, knowledge curiosity showed a negative correlation to reflective judgement performance; (4) the online collective reflective judgment strategy helped to modify conformity tendency, whereas the learners using Facebook-like platform decreased the general conformity tendency; (5) feedbacks from the participants indicated that online collective reflective judgement strategy is helpful for multifaceted thinking, interpreting information and data, research, learning motivation, providing various learning methods, and applying the concept of reflective judgement to daily life.
中文部分
林羿妏、陳昭秀(民101)。大專院校生的批判思考意向與Facebook特性對其資訊驗證行為的影響。人文社會學報,8(1),17-36。
葉玉珠(民 88)。代理(課)教師批判思考教學專業知識、個人教學效能及教學行為之現況及關係之研究。國立政治大學學報,78,55-84。
英文部分
Adams, N. E. (2014). A comparison of evidence-based practice and the ACRL information literacy standards: Implications for information literacy practice. College & Research Libraries, 75(2), 232-248.
Agarwal, N. (2011). Collective learning: An integrated use of social media in learning environment. In B. White, I. King & P. Tsang (Eds.) Social media tools and platforms in learning environments (pp. 37-51). Berlin Heidelberg: Springer.
Bardakci, S., Alakurt, T., & Keser, H. (2014). Student roles and behaviors in online learning environments. Hacettepe Universitesi Egitim Fakultesi Dergisi-Hacettepe University Journal of Education, 29(1), 47-60.
Bennett, S., Bishop, A., Dalgarno, B., Waycott, J., & Kennedy, G. (2012). Implementing Web 2.0 technologies in higher education: A collective case study. Computers & Education, 59(2), 524-534.
Blanchard, M. R., Southerland, S. A., Osborne, J. W., Sampson, V. D., Annetta, L. A., & Granger, E. M. (2010). Is inquiry possible in light of accountability?: A quantitative comparison of the relative effectiveness of guided inquiry and verification laboratory instruction. Science Education, 94(4), 577-616.
Blanco, M. A., Capello, C. F., Dorsch, J. L., Perry, G., & Zanetti, M. L. (2014). A survey study of evidence-based medicine training in US and Canadian medical schools. Journal of the Medical Library Association, 102(3), 160-168.
Bond, R., & Smith, P. B. (1996). Culture and conformity: A meta-analysis of studies using Asch’s (1952b, 1956) line judgment task. Psychological Bulletin, 119, 111–137.
Boud, D., & Walker, D. (1998). Promoting reflection in professional courses: The challenge of context. Studies in Higher Education, 23(2), 191-206.
Boud, D., Dahlgren, L.O., Dahlgren, M. A., Larsson, S., Sork, T. J., & Walters, S. (2006). Creating a "World Class" programme: Reciprocity and constraint in networked global collaboration. International Journal of Lifelong Education, 25(6), 609-622.
Boyd, L. D. (2008). Development of reflective judgement in the pre-doctoral dental clinical curriculum. European Journal of Dental Education, 12(3), 149-158.
Bunniss, S., Gray, F., & Kelly, D. (2012). Collective learning, change and improvement in health care: Trialling a facilitated learning initiative with general practice teams. Journal of Evaluation in Clinical Practice, 18(3), 630-636.
Cabero-Almenara, J., Llorente, C., & Puentes, A. (2010). Online students' satisfaction with blended learning. Comunicar(35), 149-157.
Callahan, J. L. (2015). Evidence-based technical skills training in pre-practicum psychological assessment. Training and Education in Professional Psychology, 9(1), 21-27.
Chu, R. J., & Chu, A. Z. (2010). Multi-level analysis of peer support, Internet self-efficacy and e-learning outcomes - The contextual effects of collectivism and group potency. Computers & Education, 55(1), 145-154.
Churchman, C. W. (1971). The design of inquiring systems: Basic concepts of systems and organizations. New York: Basic Books.
Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55, 591-621.
Cole, M. T., Shelley, D. J., & Swartz, L. B. (2014). Online instruction, e-learning, and student satisfaction: A three year study. International Review of Research in Open and Distance Learning, 15(6), 111-131.
Cord, B., & Clements, M. (2010). Reward through collective reflection. e-Journal of Business Education & Scholarship of Teaching, 4(1), 11-18.
Cotta, R. M. M., da Silva, L. S., Lopes, L. L., Gomes, K. D., Cotta, F. M., Lugarinho, R., & Mitre, S. M. (2012). The construction of collective portfolios in traditional curriculums: An innovative approach in teaching-learning. Ciencia & Saude Coletiva, 17(3), 787-796.
de Laat, M. F., & Simons, P. R. J. (2002). Collective learning: Theoretical perspectives and ways to support networked learning. Vocational Training: European Journal, 27(Sep-Dec), 13-24.
Deutsch, M. & Gerard, H. (1955). A study of normative and informational social influences upon individual judgement. Journal of Abnormal and Social Psychology, 51, 629–636.
Dewey, J. (1933) How we think: A restatement of the relation of reflective thinking to the educative process. Lexington, Mass.: Health.
Dewey, J. (1938) Logic: The theory of inquiry. Troy, mo.: Holt, Rinehart & Winston.
Dino, A., Reysen, S., & Branscombe, N. R. (2009). Online interactions between group members who differ in status. Journal of Language and Social Psychology, 28(1), 85-93.
Domer. D. E. (1983). Understanding Educational Satisfaction. The Univercity of Kansas School of Architecture and Urban Design. (ERIC Document Reproduction Service No.ED022 600).
Dwyer, C. P., Hogan, M. J., & Stewart, I. (2015). The effects of argument mapping-infused critical thinking instruction on reflective judgment performance. Thinking Skills and Creativity, 16, 11-26.
Dziuban, C., Moskal, P., Kramer, L., & Thompson, J. (2013). Student satisfaction with online learning in the presence of ambivalence: Looking for the will-o'-the-wisp. Internet and Higher Education, 17, 1-8.
Eysink, T. H. S., & de Jong, T. (2010). Learning in multimedia learning arrangements: An analysis across instructional approaches. Pedagogische Studien, 87(1), 66-76.
Fenwick, T. (2008). Understanding relations of individual collective learning in work: A review of research. Management Learning, 39(3), 227-243.
Ferguson, J. M., & DeFelice, A. E. (2010). Length of online course and student satisfaction, perceived learning, and academic performance. International Review of Research in Open and Distance Learning, 11(2), 73-84.
Fidel, R., Davies, R. K., Douglass, M. H., Holder, J. K., Hopkins, C. J., Kurshner, E. J. (1999). Avisit to the information mall: Web searching behaviour of high school students. Journal of American Society for Information Science, 50, 24-37.
GENÇ, Salih Zeki (2010) Evaluation of critical thinking tendencies of prospective primary school and primary science teachers. In: 2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo.
Goggins, S., & Xing, W. L. (2016). Building models explaining student participation behavior in asynchronous online discussion. Computers & Education, 94, 241-251.
Gosling, A. S., & Westbrook, J. I. (2004). Allied health professionals' use of online evidence: A survey of 790 staff working in the Australian public hospital system. International Journal of Medical Informatics, 73(4), 391-401.
Halpern, D. F. (1998). Teaching critical thinking for transfer across domains - Dispositions, skills, structure training, and metacognitive monitoring. American Psychologist, 53(4), 449-455.
Haughton, B., & Stang, J. (2012). Population risk factors and trends in health care and public policy. Journal of the Academy of Nutrition and Dietetics, 112(3), S35-S46.
Hay, B., Carr, P. J., Dawe, L., & Clark-Burg, K. (2017). "iM Ready to Learn": Undergraduate nursing students' knowledge, preferences, and practice of mobile technology and social media. Cin-Computers Informatics Nursing, 35(1), 8-17.
Hecht, L., Buhse, S., & Meyer, G. (2016). Effectiveness of training in evidence-based medicine skills for healthcare professionals: A systematic review. Bmc Medical Education, 16.
Hambleton, R. K., Swaminathan H., Algina, J., & Coulson, D. B. (1978). Criterion-referenced testing and measurement: A review of technical issues and developments. Review of Educational Research, 48(1), 1-47.
Hemetsberger, A., & Reinhardt, C. (2006). Learning and knowledge-building in open-source communities - A social-experiential approach. Management Learning, 37(2), 187-214. doi: Doi 10.1177/1350507606063442
Hernandez-Chan, G. S., Ceh-Varela, E. E., Sanchez-Cervantes, J. L., Villanueva-Escalante, M., Rodriguez-Gonzalez, A., & Perez-Gallardo, Y. (2016). Collective intelligence in medical diagnosis systems: A case study. Computers in Biology and Medicine, 74, 45-53.
Hirsh, S. G. (1999). Children's relevance criteria and information seeking on electronic resources. Journal of the American Society for Information Science, 50(14), 1265-1283.
Hofer, B.K. (2000). Dimensionality and disciplinary differences in personal epistemology. Contemporary Educational Psychology, 25, 378-405.
Hornsey, M. J., Majkut, L., Terry, D. J., & McKimmie, B. M. (2003). On being loud and proud: Non-conformity and counter-conformity to group norms. British Journal of Social Psychology, 42, 319–335.
Hsu, M. H., Chen, I. Y. L., Chiu, C. M., & Ju, T. L. (2007). Exploring the antecedents of team performance in collaborative learning of computer software. Computers & Education, 48(4), 700-718.
Hudspith, R. (2001). Using a consensus conference to learn about public participation in policymaking in areas of technical controversy. Ps-Political Science & Politics, 34(2), 313-317.
Justice, C., Rice, J., Roy, D., Hudspith, B., & Jenkins, H. (2009). Inquiry-based learning in higher education: Administrators' perspectives on integrating inquiry pedagogy into the curriculum. Higher Education, 58(6), 841-855. doi:10.1007/s10734-009-9228-7
Justice, C., Rice, J., Warry, W., Inglis, S., Miller, S., & Sammon, S. (2007). Inquiry in higher education: Reflections and directions on course design and teaching methods. Innovative Higher Education, 31(4), 201-214.
Kayler, M., & Weller, K. (2007). Pedagogy, self-assessment, and online discussion groups. Educational Technology & Society, 10(1), 136-147.
Keller, J. M. (1999). Using the ARCS motivational process in computer-based instruction and distance education. In M. Theall (Eds.), New directions for teaching and learning: motivation from within: approaches for encouraging faculty and students to excel. San Francisco: Jossey-Bass.
Kelly, T. L. (1939). The selection of upper and lower groups for the validation of test items. Journal of Educational Psychology, 30, 17-24.
Kent, C., Laslo, E., & Rafaeli, S. (2016). Interactivity in online discussions and learning outcomes. Computers & Education, 97, 116-128.
Kim, J., & Lee, W. (2011). Assistance and possibilities: Analysis of learning-related factors affecting the online learning satisfaction of underprivileged students. Computers & Education, 57(4), 2395-2405.
King, P. M., & Kitchener, K. S. (1994). Developing reflective judgment: Understanding and promoting intellectual growth and critical thinking in adolescents and adults. San Francisco: Jossey-Bass.
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.
King, P. M., Wood, P. K., & Mines, R. A. (1990). Critical thinking among college and graduate students. The Review of Higher Education, 13(2), 167-186.
Kitchener, K. S. and Helene G. B. (1990). Wisdom and reflective judgment: Knowing in the face of uncertainty. In R. J. Sternberg, Wisdom: Its nature, origins, and development (pp. 212–229). Cambridge, UK: Cambridge University Press.
Kitchener, K. S., & King, P. M. (1981). Reflective judgment: Concepts of justification and their relationship to age and education. Journal of Applied Developmental Psychology, 2(2), 89-116.
Kitchener, K. S., & King, P. M. (1990). The reflective judgment model: Ten years of research. In M. L. Commons, C. Armon, L. Kohlberg, F. A.Richards, T. A.Grotzer & J. D.Sinnot (Eds.), Adult development 3: Models and methods in the study of adolescent and adult thought. New York, NY: Praeger Press.
Kitchener, K. S., Lynch, C. L., Fischer, K. W., & Wood, P. K. (1993). Developmental range of reflective judgment - The effect of contextual support and practice on developmental stage. Developmental Psychology, 29(5), 893-906.
Kori, K., Pedaste, M., Leijen, A., & Maeots, M. (2014). Supporting reflection in technology-enhanced learning. Educational Research Review, 11, 45-55.
Ku, H. Y., Tseng, H. W., & Akarasriworn, C. (2013). Collaboration factors, teamwork satisfaction, and student attitudes toward online collaborative learning. Computers in Human Behavior, 29(3), 922-929.
Lampe, C., Wohn, D. Y., Vitak, J., Ellison, N. B., & Wash, R. (2011). Student use of Facebook for organizing collaborative classroom activities. International Journal of Computer-Supported Collaborative Learning, 6(3), 329-347.
Lawson, A. E., & Worsnop, W. A. (1992). Learning about evolution and rejecting a belief in special creation: Effects of reflective reasoning skill, prior knowledge, prior belief and religious commitment. Journal of research in science teaching, 29(2), 143-166.
Lee, E. J. (2006). When and how does depersonalization increase conformity to group norms in computer-mediated communication? Communication Research, 33(6), 423-447.
Lee, J. W. (2010). Online support service quality, online learning acceptance, and student satisfaction. Internet and Higher Education, 13(4), 277-283.
Lee, L. (2009). Scaffolding collaborative exchanges between expert and novice language teachers in threaded discussions. Foreign Language Annals, 42(2), 212-228.
Levine, J. M. (1999). Solomon Asch’s legacy for group research. Personality and Social Psychology Review, 3, 358–364.
Levine, J. M. (1999). Transforming individuals into groups: Some hallmarks of the SDS approach to small group research. Organizational Behavior and Human Decision Processes, 80(1), 21-27.
Lin, C. C., & Tsai, C. C. (2012). Participatory learning through behavioral and cognitive engagements in an online collective information searching activity. International Journal of Computer-Supported Collaborative Learning, 7(4), 543-566.
Maloney, S., Moss, A., & Ilic, D. (2014). Social media in health professional education: a student perspective on user levels and prospective applications. Advances in Health Sciences Education, 19(5), 687-697.
Martuza, V. R. (1977). Applying norm-referenced and criterion-referenced measurement in education. Boston: Allyn & Bacon.
Mason, L., Ariasi, N., & Boldrin, A. (2011). Epistemic beliefs in action Spontaneous reflections about knowledge and knowing during online information searching and their influence on learning. Learning and Instruction, 21(1), 137-151.
McIntyre, A., Chatzopoulos, N., Politi, A., & Roz, J. (2007). Participatory action research: Collective reflections on gender, culture, and language. Teaching and Teacher Education, 23(5), 748-756.
McMurtry, A. (2010). Complexity, collective learning and the education of interprofessional health teams: Insights from a university-level course. Journal of Interprofessional Care, 24(3), 220-229.
Mehrabian, A., & Stefl, C. A. (1995). Basic temperament components of loneliness, shyness, and conformity. Social Behavior and Personality, 23(3), 253-263.
Merchant, G. (2012). Unravelling the social network: Theory and research. Learning Media and Technology, 37(1), 4-19.
Mokhtar, I. A., Majid, S., Foo, S., Zhang, X., Theng, Y. L., Chang, Y. K., & Luyt, B. (2012). Evidence-based practice and related information literacy skills of nurses in Singapore: An exploratory case study. Health Informatics Journal, 18(1), 12-25.
Moon, J., & Fowler, J. (2008). 'There is a story to be told ...'; A framework for the conception of story in higher education and professional development. Nurse Education Today, 28(2), 232-239. doi:10.1016/j.nedt.2007.05.001
Moos, D. C., & Azevedo, R. (2008). Self-regulated learning with hypermedia: The role of prior domain knowledge. Contemporary Educational Psychology, 33(2), 270-298.
Nickerson, R. S. (1987). Why teach thinking?. In B. B. Joan & J. S. Robert (Eds.), In Teaching thinking skills: Theory and practice. New York, NY: W. H. Freeman & Co..
Nissila, S. P. (2005). Individual and collective reflection: How to meet the needs of development in teaching. European Journal of Teacher Education, 28(2), 209-219.
Pape, S. L., & Kelly, F. J. (1991). Reflective judgment : A cross-sectional study of undergraduate education majors. Psychological Reports, 68(2), 387-395.
Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students. San Francisco, CA: Jossey-Bass.
Pimmer, C., Linxen, S., & Grohbiel, U. (2012). Facebook as a learning tool? A case study on the appropriation of social network sites from mobile phones in developing countries. British Journal of Educational Technology, 43(5), 726-738.
Pithers, R. T., & Soden, R. (2000). Critical thinking in education: A review. Educational Research, 42(3), 237–249.
Polkosnik, M. C., & Winston, R. B. (1989). Relationships between students intellectual and psychosocial development: An exploratory investigation. Journal of College Student Development, 30(1), 10-19.
Postmes, T., Spears, R., Sakhel, K., & De Groot, D. (2001). Social influence in computer-mediated communication: The effects of anonymity on group behavior. Personality and Social Psychology Bulletin, 27(10), 1243-1254.
Roex, A., Clarebout, G., Dory, V., Degryse, J. (2009). Can ill-structured problems reveal beliefs about medical knowledge and knowing? A focus-group approach. BMC Medical Education, 9 (1), art.nr. 62, 1-9. doi: 10.1186/1472-6920-9-62
Rosander, M., & Eriksson, O. (2012). Conformity on the Internet : The role of task difficulty and gender differences. Computers in Human Behavior, 28(5), 1587-1595.
Sakalys, J. A. (1984). Effects of an undergraduate research course on cognitive development. Nursing Research, 33(5), 290-295.
Sassenberg, K., & Boos, M. (2003). Attitude change in computer-mediated communication: Effects of anonymity and category norms. Group Processes & Intergroup Relations, 6(4), 405-422.
Sassenberg, K., Boos, M., Postmes, T., & Reips, U. D. (2003). Studying the Internet: A challenge for modern psychology. Swiss Journal of Psychology, 62(2), 75-77.
Schmidt, J. A. (1985). Older and wiser: A longitudinal study of the impact of college on intellectual development. Journal of College Student Development, 26(5), 388-394.
SIGN 50. (2015). SIGN 50: A guideline developer’s handbook. Edinburgh: Scottish Intercollegiate Guidelines Network.
Smart, J. C. (1997). Higher education: Handbook of theory and research. New York, NY: Agathon Press.
Smith, E. E. (2016). "A real double-edged sword:" Undergraduate perceptions of social media in their learning. Computers & Education, 103, 44-58.
Soubhi, H., Bayliss, E. A., Fortin, M., Hudon, C., van den Akker, M., Thivierge, R., Fleiszer, D. (2010). Learning and caring in communities of practice: Using relationships and collective learning to improve primary care for patients with multimorbidity. Annals of Family Medicine, 8(2), 170-177.
Strampel, K., & Oliver, R. (2007). Using technology to foster reflection in higher education. Paper presented at the Proceedings ascilite, Singapore.
Stupnisky, R. H., Renaud, R. D., Daniels, L. M., Haynes, T. L., & Perry, R. P. (2008). The interrelation of first-year college students' critical thinking disposition, perceived academic control, and academic achievement. Research in Higher Education, 49(6), 513-530.
Sun, J. C. Y., Syu, Y. R., & Lin, Y. Y. (2017). Effects of conformity and learning anxiety on intrinsic and extrinsic motivation: the case of Facebook course groups. Universal Access in the Information Society, 16(2), 273-288.
Taye, B. (2014). Online discussion for block teaching in postgraduate health professionals' curriculum: The Ethiopian experience. Bmc Medical Education, 14.
Thompson, C., Gray, K., & Kim, H. (2014). How social are social media technologies (SMTs)? A linguistic analysis of university students' experiences of using SMTs for learning. Internet and Higher Education, 21, 31-40.
Tsikerdekis, M. (2013). The effects of perceived anonymity and anonymity states on conformity and groupthink in online communities: A Wikipedia study. Journal of the American Society for Information Science and Technology, 64(5), 1001-1015.
Vogt, E. A. M., Byham-Gray, L. D., & Touger-Decker, R. (2013). Perceptions, attitudes, knowledge, and clinical use of evidence-based practice among us registered dietitians a prospective descriptive pilot study. Topics in Clinical Nutrition, 28(3), 283-294.
Wang, Q. Y., Woo, H. L., Quek, C. L., Yang, Y. Q., & Liu, M. (2012). Using the Facebook group as a learning management system: An exploratory study. British Journal of Educational Technology, 43(3), 428-438.
Whitmire, E. (2004). The relationship between undergraduates’ epistemological beliefs, reflective judgment, and their information-seeking behavior. Information Processing and Management, 40, 97-111.
Zeidler, D. L., Sadler, T. D., Applebaum, S., & Callahan, B. E. (2009). Advancing reflective judgment through socioscientific issues. Journal of Research in Science Teaching, 46(1), 74-101.
Zhao, K., & Chan, C. K. K. (2014). Fostering collective and individual learning through knowledge building. International Journal of Computer-Supported Collaborative Learning, 9(1), 63-95.
Zhu, C. (2012). Student satisfaction, performance, and knowledge construction in online collaborative learning. Educational Technology & Society, 15(1), 127-136.