Observation of Collaborative Activities in a Game-Based Learning Platform

The work reported here takes place in the educational domain. Learning with Computer-Based Learning Environments changes habits, especially for teachers. In this paper, we wish to demonstrate through examples how learning sessions set up in a Game-Based Learning environment may be regulated by the teacher thanks to observation facilities. Providing teachers with feedback (via observation) on the ongoing activity is thus central to being aware of what is happening in the classroom, in order to react in an appropriate way and to adapt a given pedagogical scenario. The first part deals with the observation of a learning environment, based on traces left by users in their collaborative activities. The information existing in these traces is rich but the quantity of traces is huge and very often incomplete. Furthermore, the information is not always at the right level of abstraction. That is why we explain the observation process, the assets of a multisource approach and the need for visualization linked to the traces. The second part of the paper focuses on our view of learning games illustrated through the “pedagogical dungeon,” a game-based environment that we have developed. In the third part, we illustrate these concepts in the pedagogical dungeon equipped for observation and with the capacity for collaboration in certain activities. Finally, the feedback about the experiments presented is discussed at the end of the paper.

[1]  L. Vygotsky Mind in Society: The Development of Higher Psychological Processes: Harvard University Press , 1978 .

[2]  Yannick Prié,et al.  Club [clubsuit] (Trèfle): A Use Trace Model , 2003, ICCBR.

[3]  Yvonne de Kort,et al.  People, places, and play: player experience in a socio-spatial context , 2008, CIE.

[4]  Yannick Prié,et al.  MUSETTE: a framework for knowledge capture from experience , 2004, EGC.

[5]  Yannick Prié,et al.  A Trace-Based System for Technology-Enhanced Learning Systems Personalisation , 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.

[6]  Jean-Charles Marty,et al.  How to Bring Immersion into Learning Games? , 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.

[7]  S. Paris,et al.  How metacognition can promote academic learning and instruction. , 1990 .

[8]  Michael J. Baker,et al.  How do argumentation diagrams compare when student pairs use them as a means for debate or as a tool for representing debate? , 2007, Int. J. Comput. Support. Collab. Learn..

[9]  Duncan Dubugras Alcoba Ruiz,et al.  A pre-processing tool for Web usage mining in the distance education domain , 2004, Proceedings. International Database Engineering and Applications Symposium, 2004. IDEAS '04..

[10]  Ashok Patel Intelligent Tutoring Tools : Redesigning ITSs for Adequate Knowledge Transfer Emphasis , 1996 .

[11]  Jean-Charles Marty,et al.  Hints for Improving Motivation in Game-Based Learning Environments , 2011 .

[12]  Jaideep Srivastava,et al.  Data Preparation for Mining World Wide Web Browsing Patterns , 1999, Knowledge and Information Systems.

[13]  Jean-Charles Marty,et al.  Monitoring Virtual Classroom: Visualization Techniques to Observe Student Activities in an e-Learning System , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

[14]  Jean-Charles Marty,et al.  A Method for Enabling a Better Comprehension of User Behavior , 2005, CELDA.

[15]  Allyson Hadwin,et al.  Measurement and assessment in computer-supported collaborative learning , 2010, Comput. Hum. Behav..

[16]  Jean-Charles Marty,et al.  Monitoring Virtual Classroom: Visualization Techniques to Observe Student Activities in an e-Learning System , 2006 .

[17]  Sandra Michelet,et al.  Adaptive learning scenarios for detection of misconceptions about electricity and remediation , 2007, iJET.

[18]  J.-C. Marty,et al.  Observation and adaptation of a learning session based on a multi-agent system: An experiment , 2008, 2008 4th International Conference on Intelligent Computer Communication and Processing.

[19]  Stéphane Talbot,et al.  Trace analysis in instrumented learning groupware: an experiment in a practical class at the university , 2008 .

[20]  Jean-Charles Marty,et al.  Teaching with game-based learning management systems: Exploring a pedagogical dungeon , 2008 .

[21]  Julita Vassileva,et al.  Multi-Agent Multi-User Modeling in I-Help , 2003, User Modeling and User-Adapted Interaction.

[22]  P. Dillenbourg,et al.  The evolution of research on collaborative learning , 1996 .

[23]  Jean-Charles Marty,et al.  Matching the Performed Activity on an Educational Platform with a Recommended Pedagogical Scenario: A Multi-Source Approach , 2007 .

[24]  J.-C. Marty,et al.  Help through visualization to compare learners' activities to recommended learning scenarios , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[25]  Riccardo Mazza,et al.  Exploring Usage Analysis in Learning Systems: Gaining Insights From Visualisations , 2005 .

[26]  Jean-Charles Marty,et al.  Learning Games Factory: Construction of Learning Games Using a Component-Based Approach , 2012 .

[27]  Christine Ferraris,et al.  LDL for Collaborative Activities , 2008 .

[28]  Simon Egenfeldt-Nielsen Practical barriers in using educational computer games , 2004 .

[29]  Jaideep Srivastava,et al.  Grouping Web page references into transactions for mining World Wide Web browsing patterns , 1997, Proceedings 1997 IEEE Knowledge and Data Engineering Exchange Workshop.

[30]  Jean-Charles Marty,et al.  Collaborative Indicators in Learning Games: An Immersive Factor , 2008 .

[31]  O. Bertelsen,et al.  Activity Theory , 2003 .

[32]  Robert E. Slavin,et al.  Cooperative Learning and the Cooperative School. , 1987 .

[33]  Jean-Charles Marty,et al.  Helping the Teacher to Re-Organize Tasks in a Collaborative Learning Activity: An Agent-Based Approach , 2006, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06).

[34]  Davinia Hernández Leo,et al.  A Framework for the Conceptualization of Approaches to "Create-by-Reuse" of Learning Design Solutions , 2007, J. Univers. Comput. Sci..

[35]  Jun Luo,et al.  Towards evaluating learners' behaviour in a Web-based distance learning environment , 2001, Proceedings IEEE International Conference on Advanced Learning Technologies.

[36]  Joseph B. Walther,et al.  A survey of web log data and their application in use-based design , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[37]  Yannick Prié,et al.  A trace-based System Framework for Experience Management and Engineering , 2006 .

[38]  B. Zimmerman Self-Regulated Learning and Academic Achievement: An Overview , 1990 .

[39]  Philip C. Abrami,et al.  Effects of Within-Class Grouping on Student Achievement: An Exploratory Model , 2000 .

[40]  Christophe Choquet,et al.  An open architecture for usage analysis in a e-learning context , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[41]  Mark C. Paulk,et al.  Capability Maturity Model , 1991 .

[42]  Jean-Charles Marty,et al.  Teaching with Game Based Learning Management Systems : Exploring and observing a pedagogical dungeon , 2007 .

[43]  Brigitte Trousse,et al.  Advanced data preprocessing for intersites Web usage mining , 2004, IEEE Intelligent Systems.

[44]  Allyson Hadwin,et al.  Innovative ways for using gStudy to orchestrate and research social aspects of self-regulated learning , 2010, Comput. Hum. Behav..

[45]  Jean-Charles Marty,et al.  The Electronic Schoolbag, a CSCW workspace: presentation and evaluation , 2005, AI & SOCIETY.

[46]  L. S. Vygotskiĭ,et al.  Mind in society : the development of higher psychological processes , 1978 .

[47]  Jean Scholtz,et al.  VISVIP: 3D visualization of paths through web sites , 1999, Proceedings. Tenth International Workshop on Database and Expert Systems Applications. DEXA 99.