Main Article Content
Despite group formation in learning environments is commonly and successfully approached, there is a gap in the research literature with respect to its application in corporative learning. Regarding that creativity is as an important factor to increase innovation in companies, in the present research, we propose a group formation method, considering preferred roles and functional diversity, aiming to improve creativity in collaborative learning at workplace. We employed Tabu Search algorithm to automatically form groups based on Nonaka's knowledge creation theory and preferred roles from Belbin’s model. We performed a case study to compare the quality of socio-cognitive interactions during collaborative learning in groups formed by the proposed method and randomly formed groups. The results show that groups formed by preferred roles and functional diversity are more creative and present enhanced fluency and more elaborated products in comparison to randomly formed groups.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Submission of an article implies that the work described has not been published previously (except in the form of an abstract or as part of a published lecture or academic thesis), that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, in English or in any other language, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication.
Copyrights for articles published in IJIER journals are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.
Aggarwal, A. (2012). Functional diversity and its impact on distributed groups: An exploratory study. 45th Hawaii International Conference on System Sciences, HICSS '12, IEEE Computer Society, Washington, DC, USA, 444-453.
Aggarwal, A. K. (2010). Diversity in distributed decision making: An exploratory study. In Proceedings of the 2010 43rd Hawaii International Conference on System Sciences, HICSS '10, IEEE Computer Society, Washington, DC, USA, 2010, 1-11.
Agha, S., Alrubaiee, L., Jamhour, M. (2012). Effect of core competence on competitive advantage and organizational performance, International Journal of Business and Management, 7 (1), 192-204.
Amabile, T. M. (2008). Creativity and entrepreneurship in the global environment. In Centennial Global Business Summit, President and Fellows of Harvard College, Harvard Business School.
Aragon, C. R., Williams, A. (2011). Collaborative creativity: a complex systems model with distributed affect. In CHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1875-1884.
Bani-Hani, J. S., Faleh, A. A. (2009). The impact of core competencies on competitive advantage: Strategic challenge. Journal of Business and Management, 4 (2) .
Bekele, R. (2005). Computer-assisted learner group formation based on personality traits, Ph.D. thesis, Universität Hamburg.
Belbin, M. (2012). An introduction to Belbin team roles. http://www.housing.sc.edu/lasd/pdf/Training/Instructors/Week2ReadingBelbin.pdf.
Berger, N. (1999). Pioneering experiences in distance learning: Lessons learned. Journal of Management Education, 23(6), 684-690.
Brandon, D., Hollingshead, A. (1999). Collaborative learning and computer supported groups. Communication Education, 48(2), 109-126, 1999.
Brophy, D. (1998). Understanding, measuring, and enhancing collective creative problem-solving efforts, Creative Research Journal, 3, 199-299.
Brown, A., Campione, J. (1994). Guided discovery in a community of learners. In C. M. Press (Ed.), Classroom lessons: Integrating cognitive theory and classroom practice. 229-270.
Bunderson, J. S., Sutcliffe, K. (2002). Comparing alternative conceptualizations of functional diversity and performance effects. Academy of Management Journal, 45 (5), 875-893.
Caetano, S. S., Ferreira, D. J., Camilo-Junior, C. G. Ullmann, M. R. D. (2015). A hybrid genetic algorithm for group formation at workplace. IEEE Congress on Evolucionary Computation - CEC, 3287-3295
Casakin, H., Kreitler, S. (2008) “Correspondences and divergences between teachers and students in the evaluation of design creativity in the design studio”, Environmnent and Planning B: Planning in Design, 4 (35),666-678.
Chen, J., Ren, Y. and Riedl, J. (2010). The effects of diversity on group productivity and member withdrawal in online volunteer groups. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’10, 821-830, New York, NY, USA. ACM.
Christodoulopoulos, C. E., Papanikolaou, K. A. (2007). Investigation of group formation using low complexity algorithms”, In Proceedings of Workshop on Personalization in E-Learning Environments at Individual and Group Level, 57-60, 1th International Conference on User Modeling.
Cox, T., B Lake, S. (1991). Managing cultural diversity: Implications for organizational competitiveness. Academy of Management Executive, 5, 45-56.
E. Goiás, (2012) Lei no 17.663, de 14 de junho de 2012., Reestruturação da Carreira dos Servidores do Poder Judiciário do Estado de Goiás e dá outras providências. http://www.gabinetecivil.go.gov.br/pagina_leis.php?id= 10324.
El-Mihoub, T. A., Hopgood, A. A., Nolle, L., Battersby, A. ( 2006). Hybrid genetic algorithms: A review, Engineering Letters, 13 (2)
Felix, Z., Tedesco, P. (2006). Formação de grupos de aprendizagem em ambientes cscl ciente de context. II SEGeT Simpósio de Excelência em Gestão e Tecnologia.
Geus, A. (1997). The living company. Harvard Business School Press, 1997.
Glover, F., Laguna, M., Martí, R. (2007) “Principles of Tabu Search in Handbook of Approximation Algorithms and
Metaheuristics”, Chapman and Hall/CRC; 1 edition.
Goggins, S., Jahnke, S. I. and Wulf, V. (2012). Cscl@work revisited - beyond cscl and cscw?: are there key design principles for computer supported collaborative learning at the workplace?. In Proceedings of the 17th ACM international 18.
Graf, S., R. Bekele, R. (2006). Forming heterogeneous groups for intelligent collaborative learning systems with ant colony optimization. In H. Springer-Verlag Berlin (Ed.), ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems, 217-226.
Grant, R. (1006). Toward a knowledge-based theory of firm. Strategic Management Journal, 17, 109-122.
Grunert, K. G., L. Hildebrandt, L. (2004). Success factors, competitive advantage and competence development. Journal of Business Research, 57 (5), 459-461.
Guimerà, R., Uzzi, B., Spiro, J., Amaral, L. A. N. (2005).Team assembly mechanisms determine collaboration network structure and team performance. Science, 308(5722), 697-702.
Guzzo, R., Dickson, M. (1996). Teams in organizations: Recent research on performance and effectiveness. Annual Review of Psychology, 47, 307-338.
Hamiez, J., Hao, J. (2000). Recherche tabou et planification de rencontres sportives tabu search and sports league scheduling. Paris.
Hare , A. P. (1994). Types of roles in small groups: A bit of history and a current perspective. Small Group Research, 25, 433-448.
Idd, J., Bessant, J., Pavitt, K. (2011). Managing Innovation: Integrating Technological, Market and Organizational Change. Wiley.
Janis, I. (2012). Group Think. Conference on Supporting group work, GROUP '12, ACM, New York, NY, USA, 323-326.
Jia, L. Y., Dong, H., B., Ya, H. (2013). An improved tabu search approach to vehicle routing problem. In Procedia - Social and Behavioral Sciences, Vol. 96, 13th COTA International Conference of Transportation Professionals- CI- CTP, 1208-1217.
Kankanhalli, A., Tan, B., Wei, K. K. (2007). Conflict and performance in global virtual teams. J. Manage. Inf. Syst., 23 (3), 237-274.
Kreijnsa, K., Kirschnerb, P. A., Jochemsb, W. ( 2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: a review of the research. Computers in Human Behavior, 19, 335-353.
Liang, C. J., Lin, Y. L., Huang, H. F. (2013). Effect of core competence on organizational performance in an airport shopping center. Journal of Air Transport Management, 31 (0).
Lin, Y. T., Huang, Y. M., Cheng, S. C. (2010). An automatic group composition system for composing collaborative learning groups using enhanced particle swarm optimization. Comput. Educ. 55 (4), 1483-1493.
Martín, E. and Paredes, P. (2004). Using learning styles for dynamic group formation in adaptive collaborative hypermedia systems. Matera, M. and Comai, S. (Eds.) Engineering Advanced Web Applications. Proceedings of Work- shops in Connection with 4th International Conference on Web Engineering, 188-197.
Moreno, J., Ovalle, D. A., Vicari, R. M. (2012). A genetic algorithm approach for group formation in collaborative learning considering multiple student characteristic. Computers and Education. 58, 560-569.
Mudrack , P. E., Farrell, G. M. (1995). An examination of functional role behavior and its consequences for individuals in group settings. Small Group Research, 26(4), 542-571.
Nasajon, L. (2010). Gerenciamento da diversidade nas organizações. http://era.org.br/2012/05/ gerenciamento-da-diversidade-nas-organizacoes.
Nonaka, I. (1990). An Inquiry into the Good. Yale University Press.
Nonaka, I. (2009). A empresa criadora do conhecimento. Bookman (Ed.), Gestão do Conhecimento, Hirotaka Takeuchi and Ikujiro Nonaka, Ch. 2, 39-53, tradução: Ana Thorell.
Nonaka, I. (1995). T. University, The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, USA.
Ounnas, A., Millard, D. E., Davis, H. C. (2007). A metrics framework for evaluating group formation. ACM Group'07, 221-224.
Paredes, O. A., Rodrigues, P., P. (2010). A method for supporting heterogeneous- group formation through heuristics and visualization. Journal of Universal Computer Science, 16, 2882-2901.
Poder Judiciário. (2013). Estado de Goiás, Brasil, Portal da transparência. http://www.tjgo.jus.br/index.php/tribunal/tribunal-portaldatransparencia.
Poder Judiciário. (2000). Estado de Goiás, Brasil, Regimento interno do tribunal de justiça do estado de Goiás. http://www.tjgo.jus.br/docs/publicacoes/regimentos/ regimento.pdf.
Poder Judiciário. (2001). Estado de Goiás, Brasil, Resolução 44 de 10 de dezembro de 2001, Internet, institui o Sistema de Controle Interno das atividades administrativas do Poder Judiciário do Estado de Goiás. http://www.tjgo.jus.br/tjdocs/documentos/151/download.
Redmond, M. A. (2001). A computer program to aid assignment of student project groups. ACM, 134-138.
Takeuchi, H., I. Nonaka, I. (2009). Criação e dialética do conhecimento, in: Bookman (Ed.), Gestão do Conhecimento, Hirotaka Takeuchi and Ikujiro Nonaka, 2009, Ch. 1, 17-38.
Tampoe, M. (1994). Exploiting the core competences of your organization. Long Range Planning 27 (4), 66-77.
Teece, D. J. (2000). Strategies for managing knowledge assets: the role of firm structure and industrial context. California Management Review, 40(3), 55–79.
Turner, M. E. (2012). Groups at work. Routledge.
Webb, N. M. (1983). Predicting learning from student interaction: Defining the interaction variable. Educational Psychologist, 18, 33-41.
Wessner, M., Pfister, H. R. (2001). Group formation in computer-supported collaborative learning. ACM SIGGROUP Conference on Supporting Group Work, 24-31.
Yannibelli, V., Amandi, A. (2012). A deterministic crowding evolutionary algorithm to form learning teams in a collaborative learning context. Expert Systems with Applications, 8584-8592.