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Group Formation for Collaborative Learning

A Systematic Literature Review

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Artificial Intelligence in Education (AIED 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

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Abstract

This paper presents a systematic literature review (SLR) that investigates group formation, as a first step towards automated group formation for collaborative learning. Out of 105 papers selected for review, after using specific selection and a quality assessment method, a final list of 21 relevant studies was selected for analysis. The review revealed the current state of the art in group formation.

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References

  1. Al-Adrousy, W.M., Ali, H.A., Hamza, T.T.: A recommender system for team formation in MANET. J. King Saud Univ. Comput. Inf. Sci. 27(2), 147–159 (2015)

    Google Scholar 

  2. Alberola, J.M., del Val, E., Sanchez-Anguix, V., Julian, V.: Simulating a collective intelligence approach to student team formation. In: Pan, J.-S., Polycarpou, M.M., Woźniak, M., de Carvalho, A.C.P.L.F., Quintián, H., Corchado, E. (eds.) HAIS 2013. LNCS (LNAI), vol. 8073, pp. 161–170. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40846-5_17

    Chapter  Google Scholar 

  3. Amarasinghe, I., Leo, D.H., Jonsson, A.: Intelligent group formation in computer supported collaborative learning scripts. In: Chang, M., Chen, N., Huang, R., Kinshuk, Sampson, D.G., Vasiu, R. (eds.) 17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017, Timisoara, Romania, 3–7 July 2017, pp. 201–203. IEEE Computer Society (2017)

    Google Scholar 

  4. Babar, M.A., Kitchenham, B.: The impact of group size on software architecture evaluation: a controlled experiment. In: Proceedings of First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), pp. 420–429, September 2007

    Google Scholar 

  5. Battur, S., et al.: Enhancing the students project with team based learning approach: a case study. In: 2016 IEEE 4th International Conference on MOOCs Proceedings of the Innovation and Technology in Education (MITE), pp. 275–280, December 2016

    Google Scholar 

  6. Borges, J., Dias, T.G., Cunha, J.F.E.: A new group-formation method for student projects. Eur. J. Eng. Educ. 34(6), 573–585 (2009)

    Article  Google Scholar 

  7. Burke, A.: Group work: how to use groups effectively. J. Eff. Teach. 11(2), 87–95 (2011)

    Google Scholar 

  8. Computer Research and Education: CORE Rankings Portal - Computing Research and Education (2017)

    Google Scholar 

  9. Costaguta, R., de los Angeles Menini, M.: An assistant agent for group formation in CSCL based on student learning styles. In: Proceedings of the 7th Euro American Conference on Telematics and Information Systems, EATIS 2014, pp. 24:1–24:4. ACM, New York (2014)

    Google Scholar 

  10. Dillenbourg, P.: What do you mean by ‘collaborative learning’?, no. 1, pp. 1–19 (1999)

    Google Scholar 

  11. Coffield, F., Moseley, D., Hall, E., Ecclestone, K.: Should we be using learning styles? What research has to say to practice. Technical report, The Learning and Skills Research Centre (2014)

    Google Scholar 

  12. Galanes, G.J., Adams, K.K.L.: Effective Group Discussion: Theory and Practice. McGraw-Hill, Boston (2013)

    Google Scholar 

  13. Garcia, P., Balmaceda, J.M., Schiaffino, S., Amandi, A.: Automatic detection of team roles in computer supported collaborative work. IEEE Latin Am. Trans. 11(4), 1066–1074 (2013)

    Article  Google Scholar 

  14. Gogoulou, A., Gouli, E., Boas, G., Liakou, E., Grigoriadou, M.: Forming Homogeneous, Heterogeneous and Mixed Groups of Learners, pp. 33–40 (2007)

    Google Scholar 

  15. Graf, S., Bekele, R.: Forming heterogeneous groups for intelligent collaborative learning systems with ant colony optimization. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 217–226. Springer, Heidelberg (2006). https://doi.org/10.1007/11774303_22

    Chapter  Google Scholar 

  16. JCR: Journal Citation Reports (2017)

    Google Scholar 

  17. Johnson, D.W., Johnson, R.T.: Assessing Students in Groups: Promoting Group Responsibility and Individual Accountability. Corwin Press, Thousand Oaks (2004)

    Google Scholar 

  18. Kitchenham, B., et al.: The impact of limited search procedures for systematic literature reviews: a participant-observer case study. In: Proceedings of the 3rd International Symposium on Empirical Software Engineering and Measurement, pp. 336–345 (2009)

    Google Scholar 

  19. Kravitz, D.A., Martin, B.: Ringelmann rediscovered: the original article (1986)

    Google Scholar 

  20. Lescano, G., Costaguta, R., Amandi, A.: Genetic algorithm for automatic group formation considering student’s learning styles. In: 8th Euro American Conference on Telematics and Information Systems, EATIS 2016, Cartagena, Colombia, 28–29 April 2016, pp. 1–8. IEEE (2016)

    Google Scholar 

  21. Li, C.T., Shan, M.K.: Composing activity groups in social networks. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012, pp. 2375–2378. ACM, New York (2012)

    Google Scholar 

  22. Liu, S., Joy, M., Griffiths, N.: An exploratory study on group formation based on learning styles. In: Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, pp. 95–99, July 2013

    Google Scholar 

  23. Lykourentzou, I., Antoniou, A., Naudet, Y.: Matching or crashing? Personality-based team formation in crowdsourcing environments (2015)

    Google Scholar 

  24. Lykourentzou, I., Antoniou, A., Naudet, Y., Dow, S.P.: Personality matters: balancing for personality types leads to better outcomes for crowd teams. In: Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, CSCW 2016, pp. 260–273. ACM, New York (2016)

    Google Scholar 

  25. Manske, S., Hoppe, H.U.: Managing knowledge diversity: towards automatic semantic group formation. In: Chang, M., Chen, N., Huang, R., Kinshuk, Sampson, D.G., Vasiu, R. (eds.) 17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017, Timisoara, Romania, 3–7 July 2017, pp. 330–332. IEEE Computer Society (2017)

    Google Scholar 

  26. Maria-Iuliana, D., Constanta-Nicoleta, B., Alexandru, B.: Platform for creating collaborative e-learning communities based on automated composition of learning groups. In: Proceedings of the 3rd Eastern European Regional Conference on the Engineering of Computer Based Systems, pp. 103–112, August 2013

    Google Scholar 

  27. Odo, C.R., Masthoff, J.F.M., Beacham, N.A., Alhathli, M.A.E.: Affective State for Learning Activities Selection, May 2018

    Google Scholar 

  28. Pujari, A.K.: Data Mining Techniques. Universities Press (2001)

    Google Scholar 

  29. Roy, S.B., Lakshmanan, L.V.S., Liu, R.: From group recommendations to group formation (2015)

    Google Scholar 

  30. Sadeghi, H., Kardan, A.A.: Toward effective group formation in computer-supported collaborative learning. Interact. Learn. Environ. 24(3), 382–395 (2016)

    Article  Google Scholar 

  31. Sancho-Asensio, A., Sol, X., Montero, J., Navarro, J., Canaleta, X., Vernet, D.: Support tool for the formation of working groups in collaborative learning environments. In: Proceedings of the 9th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6, June 2014

    Google Scholar 

  32. Silva, R.L.S., Neiva, F.W.: Systematic literature review in computer science - a practical guide (2016)

    Google Scholar 

  33. So, A., Agbayewa, J.O.: Effect of homogenous and heterogeneous ability grouping class teaching on student’s interest, attitude and achievement in integrated science. Int. J. Psychol. Couns. 3(3), 48–54 (2011)

    Google Scholar 

  34. Srba, I., Bielikova, M.: Dynamic group formation as an approach to collaborative learning support. IEEE Trans. Learn. Technol. 8(2), 173–186 (2015)

    Article  Google Scholar 

  35. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2009)

    Google Scholar 

  36. Vygotskii, L.S.L.S.: Thought and Language. M.I.T. Press, Massachusetts Institute of Technology (1962)

    Google Scholar 

  37. Wang, D.Y., Lin, S.S.J., Sun, C.T.: DIANA: a computer-supported heterogeneous grouping system for teachers to conduct successful small learning groups. Comput. Hum. Behav. 23, 1997–2010 (2007)

    Article  Google Scholar 

  38. Wichmann, A., Hecking, T., Elson, M., Christmann, N., Herrmann, T., Hoppe, H.U.: Group formation for small-group learning: are heterogeneous groups more productive? In: Proceedings of the 12th International Symposium on Open Collaboration, OpenSym 2016, pp. 14:1–14:4. ACM, New York (2016)

    Google Scholar 

  39. Zamani, M.: Cooperative learning: homogeneous and heterogeneous grouping of Iranian EFL learners in a writing context. Cogent Educ. 3(1), 1149959 (2016)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. University of Aberdeen, Aberdeen, UK

    Chinasa Odo & Nigel Beacham

  2. Utrecht University, Utrecht, The Netherlands

    Judith Masthoff

Authors
  1. Chinasa Odo
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  2. Judith Masthoff
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  3. Nigel Beacham
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Corresponding author

Correspondence to Chinasa Odo .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

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Odo, C., Masthoff, J., Beacham, N. (2019). Group Formation for Collaborative Learning. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_39

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

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