Authors:
Victor Häfner
;
Tengyu Li
;
Felix Michels
;
Polina Häfner
;
Haoran Yu
and
Jivka Ovtcharova
Affiliation:
Institute for Information Management in Engineering (IMI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Keyword(s):
Virtual Reality Training, Personalized Tutoring, Semantic Web Technology, Intelligent Tutoring System, Engineering Education, Virtual Flow Rig Training.
Abstract:
Adaptive and personalized immersive virtual reality (VR) training is a current research focus, aiming to make training more efficient and let users have a better learning experience. But there is currently an unmet need for flexible VR training that can adapt to the user’s abilities and performance to provide a personalized learning process. The main problem is the high cost of setting up and maintaining virtual environments, resulting in a lack of flexibility to easily update training content. To solve this problem, we incorporate Semantic Web technology into VR training. Using the heterogeneous knowledge integration and reasoning capabilities of the Semantic Web, VR training content can be easily created and updated. In addition, due to the advantages of the intelligent tutoring system (ITS) in tracking the student performance and providing automated and personalized tutoring, we explore the integration of the ITS into the VR learning environment. Therefore, this paper proposes a f
ramework for a Semantic Web-Enabled Intelligent VR Tutoring System, especially for engineering education, and demonstrates its feasibility by a proof of concept application. The system is exemplified using a virtual flow rig application for training, facilitating the education of students and professionals on fluid flow principles, control strategies, and measurement techniques.
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