Intelligent Virtual Laboratory and Project- Oriented Learning for Teaching Mobile Robotics*

We have combined collaborative didactic techniques, virtual laboratories and intelligent tutors to improve the process of learning mobile robotics. The students learn the basic concepts in mobile robotics, first by experimenting in a virtual laboratory and later by building a small mobile robot for a competition. The course is based on the project-oriented learning (POL) didactic strategy. Throughout the course the students design, build and program a small mobile robot to participate in student competitions. Here we present an evaluation of the virtual lab and of the tutor, and of the course in general.

[1]  Cristina Conati,et al.  On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks , 1997 .

[2]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[3]  Valerie J. Shute,et al.  A Large-Scale Evaluation of an Intelligent Discovery World: Smithtown , 1990, Interact. Learn. Environ..

[4]  Susan Bull,et al.  Alternative Views on Knowledge: Presentation of Open Learner Models , 2004, Intelligent Tutoring Systems.

[5]  Susan Bull,et al.  An Open Learner Model for Children and Teachers: Inspecting Knowledge Level of Individuals and Peers , 2004, Intelligent Tutoring Systems.

[6]  Cristina Conati,et al.  Probabilistic Student Modelling to Improve Exploratory Behaviour , 2004, User Modeling and User-Adapted Interaction.

[7]  Daphne Koller,et al.  Probabilistic Relational Models , 1999, ILP.

[8]  Bedrich Benes,et al.  POLizied e-Learning using contract management , 2005, Comput. Educ..

[9]  Luis Enrique Sucar,et al.  A probabilistic relational student model for virtual laboratories , 2005, Sixth Mexican International Conference on Computer Science (ENC'05).

[10]  Lise Getoor,et al.  Learning Probabilistic Relational Models , 1999, IJCAI.

[11]  Joel D. Martin,et al.  Student assessment using Bayesian nets , 1995, Int. J. Hum. Comput. Stud..

[12]  L. Enrique Sucar,et al.  Project oriented learning for basic robotics using virtual laboratories and intelligent tutors , 2005, Proceedings Frontiers in Education 35th Annual Conference.

[13]  Kasia Muldner,et al.  Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments , 2004, Intelligent Tutoring Systems.

[14]  Richard E. Neapolitan,et al.  Probabilistic reasoning in expert systems - theory and algorithms , 2012 .

[15]  Zhendong Niu Bayesian student modeling, user interfaces and feedback: A sensitivity analysis , 2001 .

[16]  J. Noguez,et al.  Project oriented tutoring on milestone behavior using contract management , 2004, 34th Annual Frontiers in Education, 2004. FIE 2004..

[17]  Jim E. Greer,et al.  Adaptive Assessment Using Granularity Hierarchies and Bayesian Nets , 1996, Intelligent Tutoring Systems.

[18]  David W. Johnson,et al.  How Can We Put Cooperative Learning into Practice , 2000 .

[19]  J. Grudin,et al.  Design Models for Computer-Human Interfaces , 1996, Computer.