Une bibliographie sur les méthodes mixtes et sur l’Educational Data Mining

Ce billet est une bibliographie qui sert de support à un certain nombre de billets à venir sur mon blog de recherche, il n’est pas autosuffisant, donc ne vous inquiétez pas si vous ne comprenez rien.
Baker, R.S.J.d., de Carvalho, A. M. J. A. (2008) Labeling Student Behavior Faster and More Precisely with Text Replays. In: Proceedings of the 1st International Conference on Educational Data Mining, 38–47.
Baker, R. S., & Inventado, P. S. (2014). Educational Data Mining and Learning Analytics. In J. A. Larusson & B. White (Eds.), Learning Analytics (pp. 61–75). Springer New York.
Baker, R. S. J. d, & Yacef, K. (2009). The State of Educational Data Mining in 2009: A Review and Future Visions. JEDM – Journal of Educational Data Mining, 1(1), 3–17.
Bryman, A. (2006 ). Mixed methods: A jour-volume set. London: Sage
Caracelli, J., & Greene, J. C. (1993). Data analysis strategies for mixed-method evaluation designs. Educational Evaluation and Policy Analysis, 15(2), 195-207.
Cisel, M. (2016). Utilisations des MOOC, éléments de typologie. Manuscrit de thèse non publié.
Corbett, A. T. & Anderson, J. R. (1995). Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4, 253-278
Creswell, J. W., & Plano Clark, V. L. (2007). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage.
Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.
Dekker, G., Pechenizkiy, M., & Vleeshouwers, J. (2009). Predicting Students Drop Out: A Case Study. In Proceedings of the International Conference on Educational Data Mining. 41-50.
Embretson, S. E., & Reise, S. P. (2013). Item Response Theory. Psychology Press.
Greene. J. C., Caracelli, V. J., & Graham, W E (1989). Toward a conceptual framevvork for mixed-method evaluation designs. Educational Evaluation and Policy Analysis, 11(3), 255-274.
Greene, J. C. (2007). Mixed methods in social inquiry. San Francisco: Jossey-Bass.
Isaac, H., & Volle, P. (2008). E-commerce: de la stratégie à la mise en oeuvre opérationnelle. Pearson Education France.
Kizilcec, R. F., Piech, C., & Schneider, E. (2013). Deconstructing Disengagement: Analyzing Learner Subpopulations in Massive Open Online Courses.In Proceedings of the Third International Conference on Learning Analytics and Knowledge, LAK 2013.
Kizilcec, R. F., Schneider, E., Cohen, G. L., & McFarland, D. A. (2014). Encouraging Forum Participation in Online Courses with Collectivist, Individualist, and Neutral Motivational Framings. eLearning Papers, 37, 13-22.
Koedinger, K.R., Baker, R.S.J.d., Cunningham, K., Skogsholm, A., Leber, B., Stamper, J. (2010) A Data Repository for the EDM community: The PSLC DataShop. In Romero, C., Ventura, S., Pechenizkiy, M., Baker, R.S.J.d. (eds.) Handbook of Educational Data Mining. Boca Raton, FL: CRC Press.
Lebis, A. (2016). Vers une capitalisation des processus d’analyse de traces. In Rencontres Jeunes Chercheurs en EIAH (RJC-EIAH 2016). Montpellier, France.
Mertens, D. M. (2003). Mixed methods and the politics of human research: The transformative-emancipatory perspective. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in the social & behavioral sciences (pp. 135-164). Thousand Oaks. CA: Sage.
Moore, A.W. (2006). Statistical Data Mining Tutorials. Récuppéré à l’adresse http://www.autonlab.org/tutorials/
Morse. J. M. (1991). Approaches to qualitative-quantitative methodological triangulation. Nursing Research. 40(1). 120-123.
Onwuegbuzie, A. J., & Johnson, R. B. (2006). The Validity Issues in Mixed Research. ResearchGate, 13(48), 48–63.
Onwuegbuzie, A. J. (2000). Expanding the Framework of Internal and External Validity in Quantitative Research. Retrieved from http://eric.ed.gov/?id=ED448205
Pavlik, P. I., Cen, H., Wu, L., & Koedinger, K. R. (2008). Using Item-Type Performance Covariance to Improve the Skill Model of an Existing Tutor. In Proceedings of the 1st International Conference on Educational Data Mining, 77-86.
Peña-Ayala, A. (2013). Educational Data Mining: Applications and Trends. Springer.
Plano Clark, V. L. & Creswell, J. W. (2008). The mixed methods reader. Thousand Oaks, CA: Sage.
Romero, C., Ventura, S. (2007). Educational Data Mining: A Survey from 1995 to 2005. Expert Systems with Applications 33, 125-146
Romero, C., Ventura, S., Pechenizkiy, M., & Baker, R. S. J. d. (2010). Handbook of Educational Data Mining. CRC Press.
Sanchez, E., Emin-Martinez, V., & Mandran, N. (2015). Jeu-game, jeu-play, vers une modélisation du jeu. Une étude empirique à partir des traces numériques d’interaction du jeu. STICEF.
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2001). Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2 edition). Boston: Cengage Learning.
Siemens, G., & Baker, R. S. J. d. (2012). Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. In Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge (pp. 252–254). New York, NY, USA: ACM.
Tashakkori, A., &Teddlie, C. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Thousand Oaks, CA: Sage
Tashakkori. A., & Teddlie. C. (Eds.). (2003). Handbook of mixed methods in the social & behavioral sciences. Thousand Oaks, CA: Sage.
Terenzini, P. (1987). Studying student attrition and retention. In G. W. McLaughlin and J. A. Muffo (Eds.), A primer of institutional research (pp. 20- 35). Tallahassee, FL: Association of Institutional Research.
Tomkin, J. H., & Charlevoix, D. (2014). Do Professors Matter?: Using an a/B Test to Evaluate the Impact of Instructor Involvement on MOOC Student Outcomes. In Proceedings of the First ACM Conference on Learning @ Scale Conference (pp. 71–78).
Walonoski, J.A., Heffernan, N.T. Prevention of Off-Task Gaming Behavior in Intelligent Tutoring Systems (2006). In: Proceedings of the 8th International Conference on Intelligent Tutoring Systems, 722-724.

 

Et hop, une deuxième biblio, réalisée pour une autre mission cette fois-ci :

Amiel, T., & Reeves, T. C. (2008). Design-Based Research and Educational Technology: Rethinking Technology and the Research Agenda. Journal of Educational Technology & Society, 11(4), 29–40.
Anderson, J. R. (1996). ACT: A simple theory of complex cognition. American Psychologist, 51(4), 355–365.
Barab, S., & Squire, K. (2004). Design-Based Research: Putting a Stake in the Ground. Journal of the Learning Sciences, 13(1), 1–14.
Belle, T. J. L. (1982). Formal, nonformal and informal education: A holistic perspective on lifelong learning. International Review of Education, 28(2), 159–175.
Biesta, G. J. J. (2010). Why “What Works” Still Won’t Work: From Evidence-Based Education to Value-Based Education. Studies in Philosophy and Education, 29(5), 491–503.
Cisel, M., & Bruillard, E. (2013). Chronique des MOOC, 19. Revue STICEF
Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.
Davies, P. (1999). What is Evidence-based Education? British Journal of Educational Studies, 47(2), 108–121.
Dehaene, S. (2011). Apprendre à lire: Des sciences cognitives à la salle de classe. Paris: Odile Jacob.
Embretson, S. E., & Reise, S. P. (2013). Item Response Theory. Psychology Press.
Engeström, Y. (2011). From design experiments to formative interventions. Theory & Psychology, 21(5), 598–628.
Gaussel, M., & Reverdy, C. (2013). Neurosciences et éducation : la bataille des cerveaux. Dossier de veille de l’IFE.

Houdé, O. (2008). Pedagogy, not (only) anatomy of reasoning. Trends in Cognitive Sciences, 12(5), 173–174.
Hursh, D. (2007). Assessing No Child Left Behind and the Rise of Neoliberal Education Policies. American Educational Research Journal, 44(3), 493–518.
Moulin, L., Flacher, D., & Harari-Kermadec, H. (2016). Tuition fees and social segregation: lessons from a natural experiment at the University of Paris 9-Dauphine. Applied Economics, 48(40), 3861–3876.
Romero, C., Ventura, S., Pechenizkiy, M., & Baker, R. S. J. d. (2010). Handbook of Educational Data Mining. CRC Press.
Sanchez, É., & Monod-Ansaldi, R. (2015). Recherche collaborative orientée par la conception. Education & didactique, 9(2), 73–94.
Sanderson, I. (2002). Evaluation, Policy Learning and Evidence-Based Policy Making. Public Administration, 80(1), 1–22.
Siemens, G., & Baker, R. S. J. d. (2012). Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. In Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge (pp. 252–254). New York, NY, USA: ACM.

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