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2015 | 9 | 124-143
Article title

Recent progress, opportunities and challenges in collaborative learning and orchestrating creativity

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The role of teacher is increasingly related to designing and arranging collaborative learning situations in which fruitful and creative group work may occur. This thematic review presents recent studies on creativity and collaborative learning from the perspective of the teacher as conductor of learning processes. The precondition for the design and orchestration of these kinds of learning situations is analyzing and understanding of creative and collaborative processes and their contextual adaption. Therefore, the first section of this review focuses on the theoretical vantage points of creativity and collaborative learning mainly from socio-cultural perspective. Based on this theoretical grounding, the second section describes principles for orchestrating productive collaborative learning and supporting creativity from the teacher’s perspective. We discuss three dimensions related to how teachers can bring about collaborative learning and creativity: general pedagogical bases, teachers’ pre- and real-time activities as well as opportunities and challenges for teacher activities. The review is concluded with theoretical and practical implications regarding collaborative learning and creativity.
Physical description
  • School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, Henan, China
  • School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, Henan, China
  • School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, Henan, China
  • School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, Henan, China
  • [1] A.R. Anaya, M. Luque, T. García-Saiz, Recommender system in collaborative learning environment using an influence diagram, Expert Systems with Applications, 40 (2013), 7193-7202.
  • [2] A. Andiliou, P.K. Murphy, Examining variations among researchers’ and teachers’ conceptualizations of creativity: A review and synthesis of contemporary research, Educational Research Review, 5 (2010), 201-219.
  • [3] C.S.C. Asterhan, B.B. Schwarz, N. Cohen-Eliyahu, Outcome feedback during collaborative learning: Contingencies between feedback and dyad composition, Learning and Instruction, 34 (2014), 1-10.
  • [4] F. Braida, C.E. Mello, M.B. Pasinato, G. Zimbrão, Transforming collaborative filtering into supervised learning, Expert Systems with Applications, 42 (2015), 4733-4742.
  • [5] Y.-T. Chuang, SSCLS: A Smartphone-Supported Collaborative Learning System, Telematics and Informatics, 32 (2015), 463-474.
  • [6] A. Craft, T. Cremin, P. Burnard, K. Chappell, Teacher stance in creative learning: A study of progression, Thinking Skills and Creativity, 2 (2007), 136-147.
  • [7] M.-I. Dascalu, C.-N. Bodea, A. Moldoveanu, A. Mohora, M. Lytras, P.O. de Pablos, A recommender agent based on learning styles for better virtual collaborative learning experiences, Computers in Human Behavior, 45 (2015), 243-253.
  • [8] J.J. Doppenberg, P.J. den Brok, A.W.E.A. Bakx, Collaborative teacher learning across foci of collaboration: Perceived activities and outcomes, Teaching and Teacher Education, 28 (2012), 899-910.
  • [9] V. Grau, D. Whitebread, Self and social regulation of learning during collaborative activities in the classroom: The interplay of individual and group cognition, Learning and Instruction, 22 (2012), 401-412.
  • [10] R. Hamalainen, Designing and evaluating collaboration in a virtual game environment for vocational learning, Computers & Education, 50 (2008), 98-109.
  • [11] R. Hämäläinen, P. Häkkinen, Teachers' instructional planning for computer-supported collaborative learning: Macro-scripts as a pedagogical method to facilitate collaborative learning, Teaching and Teacher Education, 26 (2010), 871-877.
  • [12] R. Hämäläinen, K. Oksanen, P. Häkkinen, Designing and analyzing collaboration in a scripted game for vocational education, Computers in Human Behavior, 24 (2008), 2496-2506.
  • [13] R. Hämäläinen, K. Vähäsantanen, Theoretical and pedagogical perspectives on orchestrating creativity and collaborative learning, Educational Research Review, 6 (2011), pp.169-184.
  • [14] R.J. Hamilton, Effects of Three Types of Elaboration on Learning Concepts from Text, Contemporary Educational Psychology, 22 (1997), 299-318.
  • [15] A. Hewitt, Children's creative collaboration during a computer-based music task, International Journal of Educational Research, 47 (2008), 11-26.
  • [16] I. Inayat, R.u. Amin, Z. Inayat, S.S. Salim, Effects of Collaborative Web Based Vocational Education and Training (VET) on Learning Outcomes, Computers & Education, 68 (2013), 153-166.
  • [17] H. Jeong, C.E. Hmelo-Silver, Productive use of learning resources in an online problem-based learning environment, Computers in Human Behavior, 26 (2010), 84-99.
  • [18] P. Kampylis, E. Berki, P. Saariluoma, In-service and prospective teachers’ conceptions of creativity, Thinking Skills and Creativity, 4 (2009), 15-29.
  • [19] F. Ke, Y.-C. Hsu, Mobile augmented-reality artifact creation as a component of mobile computer-supported collaborative learning, The Internet and Higher Education, 26 (2015), pp.33-41.
  • [20] G. Kelly, T. Crawford, J. Green, Common Task and Uncommon Knowledge: Dissenting Voices in the Discursive Construction of Physics Across Small Laboratory Groups, Linguistics and Education, 12 (2001), 135-174.
  • [21] C. Kneser, R. Ploetzner, Collaboration on the basis of complementary domain knowledge: observed dialogue structures and their relation to learning success, Learning and Instruction, 11 (2001), 53-83.
  • [22] E.V. Kourdioukova, K.L. Verstraete, M. Valcke, The quality and impact of computer supported collaborative learning (CSCL) in radiology case-based learning, European Journal of Radiology, 78 (2011), 353-362.
  • [23] J. Kratzer, R.T.A.J. Leenders, J.M.L. Van Engelen, The social structure of leadership and creativity in engineering design teams: An empirical analysis, Journal of Engineering and Technology Management, 25 (2008), 269-286.
  • [24] H. Langseth, T.D. Nielsen, Scalable learning of probabilistic latent models for collaborative filtering, Decision Support Systems, 74 (2015), 1-11.
  • [25] S. Lasky, A sociocultural approach to understanding teacher identity, agency and professional vulnerability in a context of secondary school reform, Teaching and Teacher Education, 21 (2005), pp.899-916.
  • [26] R.M. Mayordomo, J. Onrubia, Work coordination and collaborative knowledge construction in a small group collaborative virtual task, The Internet and Higher Education, 25 (2015), 96-104.
  • [27] N. Mercer, The quality of talk in children's collaborative activity in the classroom, Learning and Instruction, 6 (1996), 359-377.
  • [28] N. Meslec, P.L. Curşeu, Are balanced groups better? Belbin roles in collaborative learning groups, Learning and Individual Differences, 39 (2015), 81-88.
  • [29] D. Miell, K. Littleton, Musical collaboration outside school: Processes of negotiation in band rehearsals, International Journal of Educational Research, 47 (2008), 41-49.
  • [30] P. Näykki, S. Järvelä, P.A. Kirschner, H. Järvenoja, Socio-emotional conflict in collaborative learning-A process-oriented case study in a higher education context, International Journal of Educational Research, 68 (2014), 1-14.
  • [31] L. Palmgren-Neuvonen, R.-L. Korkeamäki, Group interaction of primary-aged students in the context of a learner-generated digital video production, Learning, Culture and Social Interaction, 3 (2014), 1-14.
  • [32] G. Parmentier, V. Mangematin, Orchestrating innovation with user communities in the creative industries, Technological Forecasting and Social Change, 83 (2014), 40-53.
  • [33] M. Pérez-Sanagustín, P.J. Muñoz-Merino, C. Alario-Hoyos, X. Soldani, C. Delgado Kloos, Lessons learned from the design of situated learning environments to support collaborative knowledge construction, Computers & Education, 87 (2015), 70-82.
  • [34] V. Popov, H.J.A. Biemans, D. Brinkman, A.N. Kuznetsov, M. Mulder, Facilitation of computer-supported collaborative learning in mixed- versus same-culture dyads: Does a collaboration script help?, The Internet and Higher Education, 19 (2013), 36-48.
  • [35] L.P. Prieto, J.I. Asensio-Pérez, J.A. Muñoz-Cristóbal, I.M. Jorrín-Abellán, Y. Dimitriadis, E. Gómez-Sánchez, Supporting orchestration of CSCL scenarios in web-based Distributed Learning Environments, Computers & Education, 73 (2014), 9-25.
  • [36] H. Sadeghi, A.A. Kardan, A novel justice-based linear model for optimal learner group formation in computer-supported collaborative learning environments, Computers in Human Behavior, 48 (2015), 436-447.
  • [37] R.K. Sawyer, S. Berson, Study group discourse: How external representations affect collaborative conversation, Linguistics and Education, 15 (2004), 387-412.
  • [38] C. Schoor, M. Bannert, Motivation in a computer-supported collaborative learning scenario and its impact on learning activities and knowledge acquisition, Learning and Instruction, 21 (2011), 560-573.
  • [39] S.H. Stephan, E.H. Connors, P. Arora, L. Brey, A learning collaborative approach to training school-based health providers in evidence-based mental health treatment, Children and Youth Services Review, 35 (2013), 1970-1978.
  • [40] J.-W. Strijbos, M.F. De Laat, Developing the role concept for computer-supported collaborative learning: An explorative synthesis, Computers in Human Behavior, 26 (2010), 495-505.
  • [41] D. Takači, G. Stankov, I. Milanovic, Efficiency of learning environment using GeoGebra when calculus contents are learned in collaborative groups, Computers & Education, 82 (2015), 421-431.
  • [42] C. van Boxtel, J. van der Linden, G. Kanselaar, Collaborative learning tasks and the elaboration of conceptual knowledge, Learning and Instruction, 10 (2000), pp.311-330.
  • [43] C. Vasiliou, A. Ioannou, P. Zaphiris, Understanding collaborative learning activities in an information ecology: A distributed cognition account, Computers in Human Behavior, 41 (2014), 544-553.
  • [44] J. Voogt, H. Westbroek, A. Handelzalts, A. Walraven, S. McKenney, J. Pieters, B. de Vries, Teacher learning in collaborative curriculum design, Teaching and Teacher Education, 27 (2011), 1235-1244.
  • [45] N.M. Webb, Peer interaction and learning in small groups, International Journal of Educational Research, 13 (1989), 21-39.
  • [46] S.G.L. Won, M.A. Evans, C. Carey, C.G. Schnittka, Youth appropriation of social media for collaborative and facilitated design-based learning, Computers in Human Behavior, 50 (2015), 385-391.
  • [47] A. Zapata, V.H. Menéndez, M.E. Prieto, C. Romero, Evaluation and selection of group recommendation strategies for collaborative searching of learning objects, International Journal of Human-Computer Studies, 76 (2015), 22-39.
  • [48] C.A. Berzsenyi, Teaching interlocutor relationships in electronic classrooms, Computers and Composition, 16 (1999), 229-246.
  • [49] B. De Wever, H.V. Keer, T. Schellens, M. Valcke, Roles as a structuring tool in online discussion groups: The differential impact of different roles on social knowledge construction, Computers in Human Behavior, 26 (2010), 516-523.
  • [50] B. De Wever, H. Van Keer, T. Schellens, M. Valcke, Applying multilevel modelling to content analysis data: Methodological issues in the study of role assignment in asynchronous discussion groups, Learning and Instruction, 17 (2007), 436-447.
  • [51] B. Ertl, F. Fischer, H. Mandl, Conceptual and socio-cognitive support for collaborative learning in videoconferencing environments, Computers & Education, 47 (2006), 298-315.
  • [52] J.-A. Marcos-García, A. Martínez-Monés, Y. Dimitriadis, DESPRO: A method based on roles to provide collaboration analysis support adapted to the participants in CSCL situations, Computers & Education, 82 (2015), 335-353.
  • [53] J. Preece, B. Nonnecke, D. Andrews, The top five reasons for lurking: improving community experiences for everyone, Computers in Human Behavior, 20 (2004), 201-223.
  • [54] J.W. Sarmiento, W. Shumar, Boundaries and roles: Positioning and social location in the Virtual Math Teams (VMT) online community, Computers in Human Behavior, 26 (2010), 524-532.
  • [55] A. Weinberger, K. Stegmann, F. Fischer, Learning to argue online: Scripted groups surpass individuals (unscripted groups do not), Computers in Human Behavior, 26 (2010), 506-515.
  • [56] J.-W. Strijbos, A. Weinberger, Emerging and scripted roles in computer-supported collaborative learning, Computers in Human Behavior, 26 (2010), 491-494.
  • [57] J.-W. Strijbos, R.L. Martens, W.M.G. Jochems, N.J. Broers, The effect of functional roles on perceived group efficiency during computer-supported collaborative learning: a matter of triangulation, Computers in Human Behavior, 23 (2007), 353-380.
  • [58] Z. Zhan, P.S.W. Fong, H. Mei, T. Liang, Effects of gender grouping on students’ group performance, individual achievements and attitudes in computer-supported collaborative learning, Computers in Human Behavior, 48 (2015), 587-596.
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