Résumés
Abstract
Semi-formal learning is used to describe learning that is directed towards the goals of a formal learning institution but outside of the learning structure of a specific class. Students studying online may form semi-formal groups to increase their knowledge of the content by interacting with other learners taking the same class. This study of cyber university students (n = 2042) involved looking at the relationship between semi-formal learning groups and levels of germane load. Furthermore, this study sought to understand what role group work plays in moderating the relationship between motivation and germane load. This study found that highly motivated students had higher levels of germane load, and that group work negatively moderated that relationship. In other words, while all students benefited from group work, students with lower levels of motivation benefited more than students with high levels of motivation. This research fills an important gap by showing the value this type of group work can have for all learners, particularly those who may otherwise struggle.
Keywords:
- collaborative learning,
- germane load,
- group work,
- intrinsic motivation,
- semi-formal learning
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Bibliography
- Akyol, Z., & Garrison, D. R. (2008). The development of a community of inquiry over time in an online course: Understanding the progression and integration of social, cognitive and teaching presence. Journal of Asynchronous Learning Networks, 12(2-3), 3-23.
- Andriessen, J., Baker, M., & Suthers, D. (2003). Arguing to learn. Confronting cognitions in computer-supported collaborative learning environments. Dordrecht: Kluwer.
- Baker, M., & Lund, K. (1997). Promoting reflective interactions in a CSCL environment. Journal of Computer Assisted Learning, 13(3), 175-193.
- Butson, R., & Thomson, C. (2014). Challenges of effective collaboration in a virtual learning environment among undergraduate students. Creative Education, 5, 1449-1459.
- Carlsmith, K. M., & Cooper, J. (2002). A persuasive example of collaborative learning. Teaching of Psychology, 29, 132-135.
- Carss, W.D. (2007). The effects of using think-pair-share during guided reading lessons (Doctoral dissertation, The University of Waikato, Diterbitkan). Retrieved from https://researchcommons.waikato.ac.nz/handle/10289/2233
- Chandler, P., & Sweller J. (1991). Cognitive load theory and the format of instruction. Cognition and Instruction, 8(4), 293-332.
- Cierniak, G., Scheiter, K., & Gerjets, P. (2009). Explaining the split-attention effect: Is the reduction of extraneous cognitive load accompanied by an increase in germane cognitive load? Computers in Human Behavior, 25, 315-324.
- Collier, K. G. (1980). Peer-group learning in higher education: The development of higher order skills. Studies in Higher Education, 5(1), 55-62.
- Costley, J., & Lange, C. (2016a). The relationship between social presence and critical thinking: Results from learner discourse on an asynchronous learning environment. The Journal of IT Education: Research, (15), 89-108.
- Costley, J., & Lange, C. (2016b). The effects of instructor control of online learning environments on satisfaction and perceived learning. The Electronic Journal of e-Learning 14(3), 169-170.
- Costley, J. & Lange, C. (2017). The effects of lecture diversity on germane load. The International Review of Research in Open and Distributed Learning 18(2). doi: 10.19173/irrodl.v18i2.2860
- Crippen, K. J., Biesinger, K. D., Muis, K. R., & Orgill, M. (2009). The role of goal orientation and self-efficacy in learning from web-based worked examples. Journal of Interactive Learning Research, 20(4), 385.
- Davis, J. H. (1980). Group decision and procedural justice. In M. Fishbein (Ed.), Progress in social psychology (Vol. 1, pp. 157-230). Hillsdale, NJ: Erlbaum.
- Debue, N., & Van De Leemput, C. (2014). What does germane load mean? An empirical contribution to the cognitive load theory. Frontiers in Psychology, 5.
- DeLeeuw, K. E., & Mayer, R. E. (2008). A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. Journal of Educational Psychology, 100(1), 223.
- De Jong, T. (2010). Cognitive load theory, educational research, and instructional design: Some food for thought. Instructional Science, 38(2), 105-134.
- Granger, B. P. (2012). Enhancing training outcomes in the context of e-learning: The impact of objective learner control, training content complexity, cognitive load, learning goal orientation, and metacognitive strategies (Doctoral dissertation, University of South Florida, Florida). Retrieved from http://scholarcommons.usf.edu/etd/4326/
- Gruenfeld, D. H., & Hollingshead, A. B. (1993). Sociocognition in work groups the evolution of group integrative complexity and its relation to task performance. Small Group Research, 24(3), 383-405.
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis. New York: The Guilford Press.
- Herrmann, K. J. (2013). The impact of cooperative learning on student engagement: Results from an intervention. Active Learning in Higher Education, 14(3), 175-187.
- Homer, B. D., Plass, J. L., & Blake, L. (2008). The effects of video on cognitive load and social presence in multimedia-learning. Computers in Human Behavior, 24(3), 786-797.
- Järvelä, S., Volet, S., & Järvenoja, H. (2010). Research on motivation in collaborative learning: Moving beyond the cognitive-situative divide and combining individual and social processes. Educational Psychologist, 45(1), 15-27.
- Johnson, D. W., & Johnson, R. T. (2003). Student motivation in cooperative groups: Social independence theory. In R. M. Gillies & A. F. Ashman (Eds.), Co-operative learning: The social and intellectual outcomes of learning in groups (pp. 36-176), London, UK: Routledge.
- Johnson, D. W., Johnson, R. T., & Smith, K. A. (2014). Cooperative learning: Improving university instruction by basing practice on validated theory. Journal on Excellence in University Teaching, 25(4).
- Jonassen, D. H., & Kwon, H. I. (2001). Communication patterns in computer mediated and face-to-face group problem solving. Educational Technology Research and Development, 49(1), 35-51.
- Jones, A. C., Scanlon, E., & Clough, G. (2013). Mobile learning: Two case studies of supporting inquiry learning in informal and semiformal settings. Computers and Education, 61(1), 21-32.
- Kagan, S. (1989). The structural approach to cooperative learning. Educational Leadership, 47(4), 12-15.
- Kalyuga, S. (2011). Cognitive load theory: How many types of load does it really need? Educational Psychology Review, 23(1), 1-19.
- Kerr, N. L., MacCoun, R. J., & Kramer, G. P. (1996). Bias in judgment: Comparing individuals and groups. Psychological Review, 103, 687-719.
- Kirschner, F., Paas, F., & Kirschner, P. A. (2009). A cognitive load approach to collaborative learning: United brains for complex tasks. Educational Psychology Review, 21, 31-42.
- Kobayashi, T., & Kim, Y. (2010). The status of cyber education in Korean higher learning: The potential for East Asian linkage in higher education. The Open University of Japan Repository. Retrieved from https://ouj.repo.nii.ac.jp
- Korkmaz, Ö. (2012). A validity and reliability study of the online cooperative learning attitude scale (OCLAS). Computers & Education, 59(4), 1162-1169.
- Kozan, K. (2015). The predictive power of the presences on cognitive load. (Doctoral dissertation, Purdue University). Retrieved from https://docs.lib.purdue.edu/open_access_dissertations/491/
- Kreijns, K., Kirschner, P. A., & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments. A review of the research. Computers in Human Behavior, 19(3), 335-353.
- Lange, C., Costley J., & Han, S. (2016). Informal cooperative learning in small groups: The effect of scaffolding on participation. Issues in Educational Research, 26(2), 260-279.
- Lee, H. & Lee, S. (2015). Analysis of various influences and factors on academic persistence of cyber university students. International Journal of Service, Science and Technology 8(10), pp 211-222.
- Leppink, J., Paas, F., Van der Vleuten, C. P., Van Gog, T., & Van Merriënboer, J. J. (2013). Development of an instrument for measuring different types of cognitive load. Behavior research methods, 45(4), 1058-1072.
- Leppink, J., Paas, F., Van Gog, T., van Der Vleuten, C. P., & Van Merrienboer, J. J. (2014). Effects of pairs of problems and examples on task performance and different types of cognitive load. Learning and Instruction, 30, 32-42.
- Lyke, J. A., & Kelaher Young, A. J. (2006). Cognition in context: Students' perceptions of classroom goal structures and reported cognitive strategy use in the college classroom. Research in Higher Education, 47(4), 477-490.
- Martens, R. L., Gulikerst, J., & Bastiaens, T. (2004). The impact of intrinsic motivation on e-learning in authentic computer tasks. Journal of Computer Assisted Learning, 20(5), 368-376.
- Mayer, R. E., & Moreno, R. (1998). A split-attention effect in multimedia learning: Evidence for dual processing systems in working memory. Journal of Educational Psychology, 90(2), 312-320. doi: 10.1037//0022-0663.90.2.312
- Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43-52.
- Meece, J. L., Blumenfeld, P. C., & Hoyle, R. H. (1988). Students' goal orientations and cognitive engagement in classroom activities. Journal of Educational Psychology, 80(4), 514.
- Moreno, R., Mayer, R. E., Spires, H. A., & Lester, J. C. (2001). The case for social agency in computer-based teaching: Do students learn more deeply when they interact with animated pedagogical agents? Cognition and instruction, 19(2), 177-213.
- Morrison, B. B., Dorn, B., & Guzdial, M. (2014, July). Measuring cognitive load in introductory CS: adaptation of an instrument. In Proceedings of the tenth annual conference on international computing education research (pp. 131-138). ACM.
- National Center for Education Statistics. (2008). Distance education at degree-granting postsecondary institutions: 2006-07. US Department of Education. NCES 2009-044.
- Nichols, J. D., & Miller, R. B. (1994). Cooperative learning and student motivation. Contemporary Educational Psychology, 19(2), 167-178.
- Onwuegbuzie, A. J., Collins, K. M., & Jiao, Q. G. (2009). Performance of cooperative learning groups in a postgraduate education research methodology course: The role of social interdependence. Active Learning in Higher Education, 10(3), 265-277.
- Open Cyber University of Korea. (n.d.). Why OCU? [Blog post]. Retrieved from http://www.ocu.ac.kr/foreign/english/About_ocu/sub05.asp
- Parsad, B., Lewis, L., & Tice, P. (2008). Distance education at degree-granting postsecondary institutions: 2006-2007. Washington, DC: National Center for Education Statistics, Institute of Education Sciences, US Department of Education.
- Payne, S. C., Youngcourt, S. S., & Beaubien, J. M. (2007). A meta-analytic examination of the goal orientation nomological net. Journal of Applied Psychology, 92(1), 128.
- Pee, L. G., Kankanhalli, A., & Kim, H. W. (2010). Knowledge sharing in information systems development: A social interdependence perspective. Journal of the Association for Information Systems, 11(10), 550.
- Pintrich, P.R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the motivated strategies for learning questionnaire (MSLQ). Ann Arbor, MI: The University of Michigan. Retrieved from https://eric.ed.gov/?id=ED338122
- Pintrich, P. R., & DeGroot, E. (1990). Quantitative and qualitative perspectives on student motivational beliefs and self-regulated learning. In A nnual meeting of the American Educational Research Association, Boston.
- Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. The American Journal of Distance Education, 22(2), 72-89.
- Rienties, B., Tempelaar, D., Van den Bossche, P., Gijselaers, W., & Segers, M. (2009). The role of academic motivation in Computer-Supported Collaborative Learning. Computers in Human Behavior, 25(6), 1195-1206.
- Rogers, Y., & Price, S. (2008). The role of mobile devices in facilitating collaborative inquiry in situ. Research and Practice in Technology Enhanced Learning, 3(3), 209-229.
- Schugurensky, D. (2000). The forms of informal learning: Towards a conceptualization of the field. (Unpublished doctoral dissertation). University of Toronto, Toronto.
- Sins, P. H., van Joolingen, W. R., Savelsbergh, E. R., & van Hout-Wolters, B. (2008). Motivation and performance within a collaborative computer-based modeling task: Relations between students' achievement goal orientation, self-efficacy, cognitive processing, and achievement. Contemporary Educational Psychology, 33(1), 58-77.
- Stipek, D. J. (1996). Motivation and instruction. Handbook of Educational Psychology, 85-113.
- Suh, S., & Kim, S. (2013). Study on policy for an entrance quota of cyber universities. Seoul, Korea: Korea Educational Information and Research Service.
- Sweller, J., Van Merriënboer, J. J. G., & Paas, F. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251-296.
- Tindale, R. S., & Sheffey, S. (2002). Shared information, cognitive load, and group memory. Group Processes & Intergroup Relations, 5(1), 5-18.
- Tsay, M., & Brady, M. (2012). A case study of cooperative learning and communication pedagogy: Does working in teams make a difference? Journal of the Scholarship of Teaching and Learning, 10(2), 78-89.
- Van Merriënboer, J. J. G., & Sweller, J. (2010). Cognitive load theory in health professional education: Design principles and strategies. Medical Education , 44(1), 85-93. doi: 10.1111/j.1365-2923.2009.03498.x
- Vansteenkiste, M., Lens, W., & Deci, E. L. (2006). Intrinsic versus extrinsic goal contents in self-determination theory: Another look at the quality of academic motivation. Educational Psychologist, 41(1), 19-31.
- Vaughan, N., Nickle, T., Silovs, J., & Zimmer, J. (2011). Moving to their own beat: Exploring how students use web 2.0 technologies to support group work outside of class time. Journal of Interactive Online Learning, 10(3), 113-127.
- Wittenbaum, G. M., & Stasser, G. (1996). Management of information in small groups. In J. L. Nye & A. M. Brower (Eds.), What's social about social cognition (pp. 3-28). Thousand Oaks, CA: Sage.
- Wolters, C. A. (2004). Advancing achievement goal theory: Using goal structures and goal orientations to predict students' motivation, cognition, and achievement. Journal of Educational Psychology, 96(2), 236.
- Wosnitza, M., & Volet, S. (2009). A framework for personal content goals in collaborative learning contexts. Contemporary motivation research: From global to local perspectives, 49-67.
- Yuan, L., & Powell, S. (2013). MOOCs and open education: Implications for higher education. Bolton: University of Bolton, Centre for Educational Technology, Interoperability and Standards & JISC. Retrieved from http://publications.cetis.ac.uk/2013/667
- Zhu, C. (2012). Student satisfaction, performance, and knowledge construction in online collaborative learning. Educational Technology & Society, 15(1), 127-136.