Adaptive virtual reality game system for personalized problem-based learning

Ying Tang, S. Shetty

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is an increasing awareness among engineering educators that more and more students are not able to achieve learning successfully in a one-size-fit-all model where a set of instructions are provided identically to every student in a given class. This paper addresses this challenge by offering an intelligent virtual reality game system that not only immerses students in an attractive and engaging learning environment, but also imparts essential metacognitive and problem-solving skills tailored to student individual needs. More specifically, a mathematical Bayesian Network model is designed to characterize the probabilistic casual relationship between student acquisition of a problem solution and his/her mastery of facts and concepts pertinent to the problem, from which the system infer students' individual knowledge states. During the learning session where students are involved in the problem-solving process, the system would analyze players' interactions with three already in-place metacognitive strategies (i.e., What I Know-What I Want to Know What I Have Solved, Think-Aloud-Share-Solve, and Road Map), and dynamically map the students' responses to a set of question prompts necessary in correcting their specific misconceptions and overcoming impasses.

Original languageEnglish (US)
Title of host publication2011 International Conference on Networking, Sensing and Control, ICNSC 2011
Pages169-174
Number of pages6
DOIs
StatePublished - Jul 11 2011
Event2011 International Conference on Networking, Sensing and Control, ICNSC 2011 - Delft, Netherlands
Duration: Apr 11 2011Apr 13 2011

Publication series

Name2011 International Conference on Networking, Sensing and Control, ICNSC 2011

Other

Other2011 International Conference on Networking, Sensing and Control, ICNSC 2011
CountryNetherlands
CityDelft
Period4/11/114/13/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Control and Systems Engineering

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