A. R. Anaya, M. Luque, and M. Peinado, A visual recommender tool in a collaborative learning experience, Expert Systems with Applications, vol.45, pp.248-259, 2016.

R. S. Baker, Stupid Tutoring Systems, Intelligent Humans, International Journal of Artificial Intelligence in Education, vol.26, issue.2, pp.600-614, 2016.

A. Bandura and D. C. Mcclelland, Social learning theory, vol.35324, 1977.

F. Beck, M. Burch, S. Diehl, and D. Weiskopf, A taxonomy and survey of dynamic graph visualization, Computer Graphics Forum, vol.36, pp.133-159, 2017.

J. Bertin, Semiology of Graphics: Diagrams, Networks, Maps, 1983.

M. S. Boroujeni, T. Hecking, H. U. Hoppe, and P. Dillenbourg, Dynamics of MOOC discussion forums, pp.128-137, 2017.

S. Bull and J. Kay, SMILI: a framework for interfaces to learning data in open learner models, learning analytics and related fields, International Journal of Artificial Intelligence in Education, vol.26, issue.1, pp.293-331, 2016.

S. Dehaene, Neurones de la lecture (Les): La nouvelle science de la lecture et de son apprentissage, 2007.

P. Dillenbourg, What do you mean by collaborative learning, Collaborative-learning: Cognitive and computational approaches, vol.1, pp.1-15, 1999.
URL : https://hal.archives-ouvertes.fr/hal-00190240

P. Dillenbourg, Over-scripting CSCL: The risks of blending collaborative learning with instructional design, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00190230

R. Duque, D. Gómez-pérez, A. Nieto-reyes, and C. Bravo, Analyzing collaboration and interaction in learning environments to form learner groups, Computers in Human Behavior, vol.47, pp.42-49, 2015.

C. Friedrich and P. Eades, Graph drawing in motion, J. Graph Algorithms Appl, vol.6, issue.3, pp.353-370, 2002.

E. Gilbert and K. Karahalios, Using social visualization to motivate social production, IEEE Transactions on Multimedia, vol.11, issue.3, pp.413-421, 2009.

A. R. Girshick, M. S. Landy, and E. P. Simoncelli, Cardinal rules: visual orientation perception reflects knowledge of environmental statistics, Nature Neuroscience, vol.14, issue.7, pp.926-932, 2011.

S. Govaerts, K. Verbert, E. Duval, and A. Pardo, The student activity meter for awareness and self-reflection, CHI'12 Extended Abstracts on Human Factors in Computing Systems, pp.869-884, 2012.

J. Heer and D. Boyd, Vizster: Visualizing online social networks, FOVIS 2005. IEEE Symposium on, pp.32-39, 2005.

J. Heer and B. Shneiderman, Interactive dynamics for visual analysis, Queue, vol.10, issue.2, p.30, 2012.

J. Hommes, B. Rienties, W. De-grave, G. Bos, L. Schuwirth et al., Visualising the invisible: a network approach to reveal the informal social side of student learning, Advances in Health Sciences Education, vol.17, issue.5, pp.743-757, 2012.

C. D. Hundhausen, S. A. Douglas, and J. T. Stasko, A meta-study of algorithm visualization effectiveness, Journal of Visual Languages & Computing, vol.13, issue.3, pp.259-290, 2002.

I. Jivet, M. Scheffel, H. Drachsler, and M. Specht, Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice, Data Driven Approaches in Digital Education, pp.82-96, 2017.

D. Kahneman, Thinking, Fast and Slow. Farra, Straus and Giroux, 2011.

P. A. Kirschner, Keynote: Learning Analytics: Utopia or Dystopia. City, 2016.

R. Klamma, M. Spaniol, Y. Cao, J. , and M. , Pattern-based cross media social network analysis for technology enhanced learning in Europe, European Conference on Technology Enhanced Learning, pp.242-256, 2006.

J. Klerkx, K. Verbert, E. ;. Duval, M. D. Merrill, J. Elen et al., Enhancing Learning with Visualization Techniques, Handbook of Research on Educational Communications and Technology, pp.791-807, 2014.

B. M. Lake, T. D. Ullman, J. B. Tenenbaum, and S. J. Gershman, Building Machines That Learn and Think Like People, Behavioral and Brain Sciences, pp.1-101, 2016.

J. H. Larkin and H. A. Simon, Why a diagram is (sometimes) worth ten thousand words, Cognitive science, vol.11, issue.1, pp.65-100, 1987.

S. Lonn, S. J. Aguilar, and S. D. Teasley, Investigating student motivation in the context of a learning analytics intervention during a summer bridge program, Computers in Human Behavior, vol.47, pp.90-97, 2015.

E. Medina, R. Meseguer, S. F. Ochoa, and H. Medina, Providing Behaviour Awareness in Collaborative Project Courses, Journal of Universal Computer Science, vol.22, issue.10, pp.1319-1338, 2016.

P. R. Pintrich and E. V. De-groot, Motivational and self-regulated learning components of classroom academic performance, Journal of educational psychology, vol.82, issue.1, p.33, 1990.

M. Rehm, W. Gijselaers, and M. Segers, The impact of hierarchical positions on communities of learning, International Journal of Computer-Supported Collaborative Learning, vol.10, issue.2, pp.117-138, 2015.

G. Siemens, Connectivism: A learning theory for the digital age, p.3556, 2014.

A. Soller, A. Martínez, P. Jermann, and M. Muehlenbrock, From mirroring to guiding: A review of state of the art technology for supporting collaborative learning, International Journal of Artificial Intelligence in Education, vol.15, issue.4, pp.261-290, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00197377

D. T. Tempelaar, B. Rienties, and B. Giesbers, In search for the most informative data for feedback generation: Learning analytics in a data-rich context, Computers in Human Behavior, vol.47, pp.157-167, 2015.

J. B. Tenenbaum, T. L. Griffiths, and C. Kemp, Theory-based Bayesian models of inductive learning and reasoning, Trends in Cognitive Sciences, vol.10, issue.7, pp.309-318, 2006.

A. Twissell, Visualisation in applied learning contexts: a review, Journal of Educational Technology & Society, issue.3, p.17, 2014.

A. Van-leeuwen, J. Janssen, G. Erkens, and M. Brekelmans, Supporting teachers in guiding collaborating students: Effects of learning analytics in CSCL, Computers & Education, vol.79, pp.28-39, 2014.

L. S. Vygotskij, F. Sève, and Y. Clot, , 1985.

D. Wang, S. S. Lin, and C. Sun, DIANA: A computer-supported heterogeneous grouping system for teachers to conduct successful small learning groups, Computers in Human Behavior, vol.23, issue.4, pp.1997-2010, 2007.

X. Wang, M. Wen, and C. P. Rosé, Towards triggering higher-order thinking behaviors in MOOCs, Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, pp.398-407, 2016.

J. S. Yi, Y. Kang, and J. Stasko, Toward a deeper understanding of the role of interaction in information visualization, IEEE transactions on visualization and computer graphics, vol.13, issue.6, pp.1224-1231, 2007.

B. Yousuf and O. Conlan, VisEN: Motivating Learner Engagement Through Explorable Visual Narratives, Design for Teaching and Learning in a Networked World, pp.367-380, 2015.

B. J. Zimmerman, Self-regulated learning and academic achievement: An overview, Educational psychologist, vol.25, issue.1, pp.3-17, 1990.