An effective method for incentivizing groups implemented in a collaborative problem-based learning system to enhance positive peer interaction and learning performance

References

• Akinbobola, A. O. (2009). Enhancing students’ attitude towards Nigerian senior secondary school physics through the use of cooperative, competitive and undividualistic learning strategies. Australian Journal of Teacher Education, 34(1), 1–9. doi: https://doi.org/10.14221/ajte.2009v34n1.1
   Google Scholar
• Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Bandura, A. (1990). Perceived self-efficacy in the exercise of personal agency. Journal of Applied Sport Psychology, 2, 128–163. doi: https://doi.org/10.1080/10413209008406426
   Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
   Google Scholar
• Barrows, H., & Kelson, A. C. (1995). Problem-based learning in secondary education and the problem-based learning institute (Monograph 1). Springfield, IL: Problem-Based Learning Institute.
   Google Scholar
• Beal, D. J., Cohen, R. R., Burke, M. J., & McLendon, C. L. (2003). Cohesion and performance in groups: A meta-analytic clarification of construct relations. Journal Applied Psychology, 88(6), 989–1004. doi: https://doi.org/10.1037/0021-9010.88.6.989
   PubMed Web of Science ®Google Scholar
• Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet for Windows: Software for social network analysis. Harvard, MA: Analytic Technologies.
   Google Scholar
• Chen, G., & Bliese, P. D. (2002). The role of different levels of leaderdhip in predicting self-and collective efficacy: Evidence for discontinuity. Journal of Applied Psychology, 87(3), 549–556. doi: https://doi.org/10.1037/0021-9010.87.3.549
   PubMed Web of Science ®Google Scholar
• Chen, C. M., & Chang, C. C. (2014). Mining learning social networks for cooperative learning with appropriate learning partners in a problem-based learning environment. Interactive Learning Environments, 22(1), 97–124. doi: https://doi.org/10.1080/10494820.2011.641677
   Web of Science ®Google Scholar
• Chen, C. M., & Chen, C. C. (2010). Problem-based learning supported by digital archive-case study of Taiwan Libraries’ History Digital Library. The Electronic Library, 28(1), 1–28. doi: https://doi.org/10.1108/02640471011005414
   Web of Science ®Google Scholar
• Chen, S. J., Hsu, C. L., & Caropreso, E. J. (2006). Cross-cultural collaborative online learning: When the West meets the East?. International Journal of Technology in Teaching and Learning, 2(1), 17–35.
   Google Scholar
• Chen, C. M., & Kuo, C. H. (2019). An optimized group formation scheme to promote collaborative problem-based learning. Computers & Education, 133, 94–115. doi: https://doi.org/10.1016/j.compedu.2019.01.011
   Web of Science ®Google Scholar
• Chen, M. P., & Yen, J. C. (2003). Exploring the effects of design perspective on web-based learning performance. In D. Lassner & C. McNaught (Eds.), Educational Multimedia, Hypermedia & Telecommunications. Proceedings of the ED-MEDIA 2003-World Conference (pp. 2308–2312). Chesapeake, VA: AACE.
   Google Scholar
• Chen, C. M., & You, Z. L. (2019). Community detection with opinion leaders’ identification for promoting collaborative problem-based learning performance. British Journal of Educational Technology, 50(4), 1846–1864. doi:https://doi.org/10.1111/bjet.12673.
   Web of Science ®Google Scholar
• Cohen-Chen, S., & Zomeren, M. V. (2018). Yes we can? Group efficacy beliefs predict collective action, but only when hope is high. Journal of Experimental Social Psychology, 77, 50–59. doi: https://doi.org/10.1016/j.jesp.2018.03.016
   Web of Science ®Google Scholar
• Davidson, N., & Major, C. H. (2014). Boundary crossings: Cooperative learning, collaborative learning, and problem-based learning. Journal on Excellence in College Teaching, 25(3&4), 7–55.
   Google Scholar
• Deutsch, M. (1949). An experiment study of the effects of cooperation and competition in the social influence processes. Human Relations, 2, 199–232. doi: https://doi.org/10.1177/001872674900200301
   Web of Science ®Google Scholar
• Duxbury, J. G., & Tsai, L. L. (2010). The effects of cooperative learning on foreign language anxiety: A comparative study of Taiwanese and American universities. International Journal of Instruction, 3(1), 3–18.
   Google Scholar
• Dyson, B., Griffin, L. L., & Hastie, P. (2004). Sport education, tactical game, and cooperative learning: Theoretical and pedagogical considerations. Quest, 56(2), 226–240. doi: https://doi.org/10.1080/00336297.2004.10491823
   Web of Science ®Google Scholar
• Economides, A. A. (2008). Culture-aware collaborative learning. Multicultural Education & Technology Journal, 2(4), 243–267. doi: https://doi.org/10.1108/17504970810911052
   Google Scholar
• Farivar, S. H. (1985). Developing a cooperative learning program in an elementary classroom: Comparative study of innovative and tradition middle teaching and learning strategies. Los-Angeles: University of California.
   Google Scholar
• Gasson, S., & Waters, J. (2011). Using a grounded theory approach to study online collaboration behaviors. European Journal of Information Systems, 22(1), 95–118. doi: https://doi.org/10.1057/ejis.2011.24
   Web of Science ®Google Scholar
• George, T. R., & Feltz, D. L. (1995). Motivation in sport from a collective perspective. International Journal of Sport Psychology, 26(1), 98–116.
   Web of Science ®Google Scholar
• González, M. G., Burke, M. J., Santuzzi, A. M., & Bradley, J. C. (2003). The impact of group process variables on the effectiveness of distance collaboration groups. Computers in Human Behavior, 19(5), 629–648. doi: https://doi.org/10.1016/S0747-5632(02)00084-5
   Web of Science ®Google Scholar
• Goodsell, A. M., Maher, M., & Tinto, V. (1992). Collaborative learning: A sourcebook for higher education. University Park, PA: National Center on Postsecondary Teaching, Learning, and Assessment, Pennsylvania State University.
   Google Scholar
• Gully, S. M., Incalcaterra, K. A., A, K., & Beauien, J. M. (2002). A meta analysis of team efficacy, potency and performance: Interdependence and level of analysis as moderators of observed relationships. Journal of Applied Psychology, 87(5), 819–832. doi: https://doi.org/10.1037/0021-9010.87.5.819
   PubMed Web of Science ®Google Scholar
• Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235–266. doi: https://doi.org/10.1023/B:EDPR.0000034022.16470.f3
   Web of Science ®Google Scholar
• Hogg, M. A., & Vaughan, G. M. (2005). Social psychology (4th ed.). London: Pearson.
   Google Scholar
• Ifamuyiwa, S. A., & Akinsola, M. K. (2008). Learning together and alone: Cooperative, competitive and individualistic learning (5th ed.). Boston: Allyn & Bacon.
   Google Scholar
• Johnson, D. W., & Johnson, R. T. (1998). Cooperative learning and social interdependence theory. In R. S. Tindale, L. Heath, J. Edwards, E. J. Posavac, F. B. Nryant, Y. Suarez-Balcazar, & E. H. King (Eds.), Theory and research on small group (pp. 9–36). New York: Plenum.
   Google Scholar
• Knight, D., Durham, C. C., & Locke, E. A. (2001). The relationship of team goals, incentives, and efficacy to strategic risk, tactical implementation, and performance. Academy of Management Journal, 44, 326–338.
   Web of Science ®Google Scholar
• Li, H. C., & Tsai, T.-L. (2018). Investigating teacher pedagogical changes when implementing problem-based learning in a year 5 mathematics classroom in Taiwan. Asia-Pacific Education Researcher, 27(5), 355–364. doi: https://doi.org/10.1007/s40299-018-0393-2
   Web of Science ®Google Scholar
• Liu, C. Y., Chen, C. M., & Kuo, C. H. (2016). An optimized group formation scheme considering knowledge level, learning roles, and interaction relationship for promoting collaborative problem-based learning performance. International Conference on e-Learning, 238–246.
   Google Scholar
• Marks, M. A. (1999). A test of the impact of collective efficacy in routine and novel performance environments. Human Performation, 12, 295–309. doi: https://doi.org/10.1080/08959289909539873
   Web of Science ®Google Scholar
• Michailidou, A., & Economides, A. A. (2007). Gender and diversity in collaborative virtual teams. In Orvis & Lassiter (Eds.), Computer supported collaborative learning: Best practices and principles for instructors (pp. 199–224). Hershey, PA: IGI Global.
   Google Scholar
• Peterson, F. W. (2007). Predicting group performance using cohesion and social network density: A comparative analysis (thesis). Wright-Patterson Air Force Base, Ohio: Air Force Institute of Technology.
   Google Scholar
• Pintrich, P., Smith, D., Garcia, T., & McKeachie, W. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ). National Center for Research to Improve Post secondary Teaching and Learning.
   Google Scholar
• Schimmel, B. J. (2008). Providing meaning feedback in courseware. Educational Technology Research and Development, 139(2), 70–79.
   Google Scholar
• Seibold, G. L., & Kelly, D. R. (1988). Development of the combat platoon cohesion questionnaire. Alexandria, VA: US Army Research Institute for the Behavioral Sciences.
   Google Scholar
• Slavin, R. E. (1980). Effects of student teams and peer tutoring on academic achievement and time on-task. Journal of Experimental Education, 48, 252–257. doi: https://doi.org/10.1080/00220973.1980.11011742
   Web of Science ®Google Scholar
• Slavin, R. E. (1991). Synthesis of research on cooperative learning. Educational Leadership, 48(5), 70–88.
   Web of Science ®Google Scholar
• Slavin, R. E. (1995). Cooperative learning: Theory, research and practice (2nd ed.). Boston: Allyn and Bacon.
   Google Scholar
• Tsay, M., & Brady, M. (2010). A case study of cooperative learning and communication pedagogy: Does working in teams make a difference? Journal of the Scholarship of Reaching and Learning, 10(2), 78–89.
   Google Scholar
• Tseng, K. H., Chiang, F. K., & Hsu, W. H. (2008). Interactive processes and learning attitudes in a web-based problem-based learning (PBL) platform. Computers in Human Behavior, 24, 940–955. doi: https://doi.org/10.1016/j.chb.2007.02.023
   Web of Science ®Google Scholar
• Williams, T., & Williams, K. (2010). Self-efficacy and performance in mathematics: Reciprocal determinism in 33 nations. Journal of Educational Psychology, 102(2), 453–466. doi: https://doi.org/10.1037/a0017271
   Web of Science ®Google Scholar
• Zaccaro, S. J. (1991). Nonequivalent associations between forms of cohesiveness and group-related outcomes: Evidence for multidimensionality. The Journal of Social Psychology, 131, 387–399. doi: https://doi.org/10.1080/00224545.1991.9713865
   Web of Science ®Google Scholar
• Zumbach, J., Reimann, P., & Koch, S. (2006). Monitoring students’ collaboration in computermediated collaborative problem-solving: Applied feedback approaches. Journal of Educational Computing Research, 35(4), 399–424. doi: https://doi.org/10.2190/2G3G-5M86-8474-76NV
   Google Scholar
• Zumbach, J., Schoenemann, J., & Reimann, P. (2005). Analyzing and supporting collaboration in cooperative computer-mediated communication. In T. Koschmann, D. Suthers, & T.-W. Chan (Eds.), Computer supported learning 2005: The next 10 years (pp. 758–767). Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar