Mastery grids: an open-source social educational progress visualization

Many pieces of educational software are underused by students. Open learning model and social visualization are two approaches which have been helpful in ameliorating that low usage problem. This article introduces a fusion of these two ideas in a form of social progress visualization. A classroom evaluation indicates that this combination may be effective in engaging students, guiding them to suitable content, and enabling faster content access.

[1]  L. Festinger.  A Theory of Social Comparison Processes , 1954 .

[2]  Julita Lingling Vassileva,et al.  Using Community Visualization to Stimulate Participation in Online Communities , 2007 .

[3]  Antonija Mitrovic,et al.  Evaluating the Effect of Open Student Models on Self-Assessment , 2007, Int. J. Artif. Intell. Educ..

[4]  Peter Brusilovsky,et al.  Problem Solving Examples as First Class Objects in Educational Digital Libraries: Three Obstacles to Overcome , 2009 .

[5]  Vladimir Zadorozhny,et al.  An open integrated exploratorium for database courses , 2008, SIGCSE 2008.

[6]  Birgitta König-Ries,et al.  Progressor: social navigation support through open social student modeling , 2013, New Rev. Hypermedia Multim..

[7]  Peter Brusilovsky,et al.  Adaptation in the Context of Explanatory Visualization , 2008, EC-TEL.

[8]  Peter Brusilovsky,et al.  Guiding students to the right questions: adaptive navigation support in an E-Learning system for Java programming , 2010, J. Comput. Assist. Learn..

[9]  Jim E. Greer,et al.  Interacting with Inspectable Bayesian Student Models , 2004, Int. J. Artif. Intell. Educ..

[10]  John R. Anderson,et al.  Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.

[11]  Judy Kay,et al.  Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework , 2007, Int. J. Artif. Intell. Educ..

[12]  Lauri Malmi,et al.  Evaluating the educational impact of visualization , 2003, ITiCSE-WGR '03.

[13]  Frank Linton,et al.  Recommender Systems for Learning: Building User and Expert Models through Long-Term Observation of Application Use , 2000, User Modeling and User-Adapted Interaction.