Abstract
The education in informal learning contexts is spreading over the world. In these contexts, from a pedagogical point of view, the most used approaches is the social learning and, in particular the communities of practice (CoP). From a technological point of view, the social network is the framework most used to allow users to interact and to share resources. Several aspects have been identified as key factors for the success of the community, the engagement is one of the most important. Thus, in order to guarantee a successful learning process in a CoP it is necessary to detect and monitor user’s engagement in a continuous and unobtrusive way. The research proposes a model to detect and measure the engagement in online communities by means Social Learning Analytics from log files.
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References
Preece, J.: Sociability and usability in online communities: determining and measuring success. Behav. Inf. Technol. 20, 347–356 (2001)
Koh, J., Kim, Y.-G., Butler, B., Bock, G.-W.: Encouraging participation in virtual communities. Commun. ACM 50, 68–73 (2007)
López, C., Brusilovsky, P.: Towards adaptive recruitment and engagement mechanisms in social systems. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics). 7138, 382–396 (2012)
Iriberri, A., Leroy, G.: A life-cycle perspective on online community success. ACM Comput. Surv. 41, 1–29 (2009)
Spector, J.M.: Conceptualizing the emerging field of smart learning environments. Smart Learn. Environ. 1, 2 (2014)
Dabbagh, N., Kitsantas, A.: Personal Learning Environments, social media, and self-regulated learning: a natural formula for connecting formal and informal learning. Internet High. Educ. 15, 3–8 (2012)
Boud, D., Middleton, H.: Learning from others at work: communities of practice and informal learning. J. Work. Learn. 15, 194–202 (2003)
Billett, S.: Learning through work: workplace affordances and individual engagement. J. Work. Learn. 13, 209–214 (2001)
Carini, R.M., Kuh, G.D., Klein, S.P.: Student engagement and student learning: testing the linkages. Res. High. Educ. 47, 1–32 (2006)
Eccles, J., Wang, M.-T.: Part I Commentary: So What Is Student Engagement Anyway? Handbook of Research on Student Engagement, pp. 133–145. Springer (2012)
Fredricks, J., Blumenfeld, P.C., Paris, A.H.: School engagement: potential of the concept, state of the evidence. Rev. Educ. Res. 74, 59–109 (2004)
Reschly, A.L., Christenson, S.L.: Jingle, Jangle, and Conceptual Haziness: Evolution and Future Directions of the Engagement Construct. Handbook of Research on Student Engagement, pp. 3–19 (2012)
Wenger, E.: Communities of Practice and Social Learning Systems: The Career of a Concept. A Social Systems View on Learning: Communities of Practice as Social Learning Systems, pp. 1–16 (1998)
Nistor, N., Baltes, B., Dascalu, M., Mihaila, D., Smeaton, G., Trausan-Matu, S.: Participation in virtual academic communities of practice under the influence of technology acceptance and community factors. A learning analytics application. Comput. Hum. Behav. 34, 339–344 (2013)
Gray, B.: Informal learning in an online community of practice. Distance Educ. 19, 20–35 (2004)
Wenger, E.: Conceptual tools for CoPs as social learning systems: boundaries, identity, trajectories and participation. Soc. Learn. Syst. Commun. Pract. 125–143 (2010)
Wenger, E., Trayner, B., De Laat, M.: Promoting and assessing value creation in communities and networks: a conceptual framework. Centrum 18, 1–60 (2011)
Wenger, E.: Communities of practice and social learning systems: the career of a concept. Soc. Learn. Syst. Commun. Pract. 179–198 (2010)
Martin, A.J.: Examining a multidimensional model of student motivation and engagement using a construct validation approach. Br. J. Educ. Psychol. 77, 413–440 (2007)
Kuh, G.D.: The National Survey of Student Engagement: Conceptual and Empirical Foundations. New Dir. institutional Res. 141, (2009)
Fredricks, J.A., McColskey, W.: The Measurement of Student Engagement: A Comparative Analysis of Various Methods and Student Self-report Instruments. Handbook of Research on Student Engagement, pp. 763–782 (2012)
Santos, O.C., Rodriguez-Ascaso, A., Boticario, J.G., Salmeron-Majadas, S., Quirós, P., Cabestrero, R.: Challenges for inclusive affective detection in educational scenarios. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 566–575 (2013)
Bouvier, P., Sehaba, K., Lavoué, É.: A Trace-Based Approach to Identifying Users’ Engagement and Qualifying Their Engaged-Behaviours in Interactive Systems: Application to a Social Game (2014)
Kivikangas, J.M., Chanel, G., Cowley, B., Ekman, I., Salminen, M., Järvelä, S., Ravaja, N.: A review of the use of psychophysiological methods in game research. J. Gaming Virtual Worlds 3, 181–199 (2011)
Cocea, M., Weibelzahl, S.: Log File Analysis for Disengagement Detection in e-Learning Environments (2009)
Beal, C.R., Qu, L., Lee, H.: Classifying learner engagement through integration of multiple data sources. Proc. Natl. Conf. Artif. Intell. 21, 151 (2006)
Laat, M., Lally, V., Lipponen, L., Simons, R.-J.: Investigating patterns of interaction in networked learning and computer-supported collaborative learning: a role for social network analysis. Int. J. Comput. Collab. Learn. 2, 87–103 (2007)
Nistor, N., Fischer, F.: Communities of practice in academia: testing a quantitative model. Learn. Cult. Soc. Interact. 1, 114–126 (2012)
Jimoyiannis, A., Angelaina, S.: Towards an analysis framework for investigating students’ engagement and learning in educational blogs. J. Comput. Assist. Learn. 28, 222–234 (2012)
Martínez, A., Dimitriadis, Y., Rubia, B., Gómez, E., De la Fuente, P.: Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Comput. Educ. 41, 353–368 (2003)
Macfadyen, L.P., Dawson, S.: Mining LMS data to develop an “early warning system” for educators: a proof of concept. Comput. Educ. 54, 588–599 (2010)
Dawson, S.: “Seeing” the learning community: an exploration of the development of a resource for monitoring online student networking. Br. J. Educ. Technol. 41, 736–752 (2010)
De Laat, M.F., Lally, V., Lipponen, L., Simons, P.R.J.: Analysing student engagement with learning and tutoring activities in networked learning communities: a multi-method approach. Int. J. Web Based Commun. (2006)
Dawson, S.: A study of the relationship between student social networks and sense of community. Educ. Technol. Soc. 11, 224–238 (2008)
Buckingham Shum, S., Ferguson, R.: Social learning analytics. Soc. Learn. Anal. 15, 3–26 (2012)
Schreurs, B., Teplovs, C., Ferguson, R.: Visualizing social learning ties by type and topic: rationale and concept demonstrator. Learn. Anal. 33–37 (2013)
Schreurs, B., De Laat, M.: Network awareness tool—learning analytics in the workplace: detecting and analyzing informal workplace learning. Learn. Anal. Knowl. 59–64 (2012)
Cambridge, D., Perez-Lopez, K.: First steps towards a social learning analytics for online communities of practice for educators. In: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, pp. 69–72 (2012)
Preece, J., Shneiderman, B.: The reader-to-leader framework: motivating technology-mediated social participation. AIS Trans. Human-Comput. Interact. 1, 13–32 (2009)
Pesare, E., Roselli, T., Rossano, V., Di Bitonto, P.: Digitally enhanced assessment in virtual learning environments. J. Vis. Lang. Comput. 31, 252–259 (2015)
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Pesare, E., Roselli, T., Rossano, V. (2017). Engagement in Social Learning: Detecting Engagement in Online Communities of Practice. In: Kantola, J., Barath, T., Nazir, S., Andre, T. (eds) Advances in Human Factors, Business Management, Training and Education. Advances in Intelligent Systems and Computing, vol 498. Springer, Cham. https://doi.org/10.1007/978-3-319-42070-7_15
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DOI: https://doi.org/10.1007/978-3-319-42070-7_15
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