An Automatic Group Formation Method to Foster Innovation in Collaborative Learning at Workplace
DOI:
https://doi.org/10.31686/ijier.vol5.iss4.645Keywords:
Creativity, workplace, automatic group formation, functional diversity, preferred rolesAbstract
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.
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References
Abnar, S., Rooji, O., Taghiyaeh, F. (2012). An evolutionary algorithm for forming mixed groups ofnlearners in web based collaborative learning environments. IEEE International Conference on TechnologynEnhanced Education, 1-6, . DOI: https://doi.org/10.1109/ICTEE.2012.6208612
Aggarwal, A. (2012). Functional diversity and its impact on distributed groups: An exploratory study. 45th DOI: https://doi.org/10.1109/HICSS.2012.291
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 DOI: https://doi.org/10.1109/HICSS.2010.153
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 DOI: https://doi.org/10.5539/ijbm.v7n1p192
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 DOI: https://doi.org/10.1145/1978942.1979214
affect. In CHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,
-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 DOI: https://doi.org/10.1177/105256299902300606
Education, 23(6), 684-690.
Brandon, D., Hollingshead, A. (1999). Collaborative learning and computer supported groups.Communication Education, 48(2), 109-126, 1999. DOI: https://doi.org/10.1080/03634529909379159
Brophy, D. (1998). Understanding, measuring, and enhancing collective creative problem-solving efforts, DOI: https://doi.org/10.1207/s15326934crj1103_2
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 DOI: https://doi.org/10.1145/1753326.1753447
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. DOI: https://doi.org/10.5465/ame.1991.4274465
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 DOI: https://doi.org/10.1145/2389176.2389239
design principles for computer supported collaborative learning at the workplace?. In Proceedings of the
th ACM international 18.
Graf, S., R. Bekele, R. (2006). Forming heterogeneous groups for intelligent collaborative learning systems DOI: https://doi.org/10.1007/11774303_22
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. DOI: https://doi.org/10.1002/smj.4250171110
Grunert, K. G., L. Hildebrandt, L. (2004). Success factors, competitive advantage and competence DOI: https://doi.org/10.1016/S0148-2963(02)00312-0
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. DOI: https://doi.org/10.1126/science.1106340
Guzzo, R., Dickson, M. (1996). Teams in organizations: Recent research on performance and effectiveness. DOI: https://doi.org/10.1146/annurev.psych.47.1.307
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 DOI: https://doi.org/10.1177/1046496494253005
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 DOI: https://doi.org/10.1016/j.sbspro.2013.08.138
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 DOI: https://doi.org/10.1016/j.jairtraman.2012.11.005
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),
-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,
-569.
Mudrack , P. E., Farrell, G. M. (1995). An examination of functional role behavior and its consequences for DOI: https://doi.org/10.1177/1046496495264005
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. DOI: https://doi.org/10.1109/ICALT.2007.268
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. DOI: https://doi.org/10.1145/366413.364562
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), DOI: https://doi.org/10.1016/0024-6301(94)90057-4
-77.
Teece, D. J. (2000). Strategies for managing knowledge assets: the role of firm structure and industrial DOI: https://doi.org/10.1016/S0024-6301(99)00117-X
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. DOI: https://doi.org/10.1080/00461528309529259
Educational Psychologist, 18, 33-41.
Wessner, M., Pfister, H. R. (2001). Group formation in computer-supported collaborative learning. ACM DOI: https://doi.org/10.1145/500286.500293
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.
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