Evaluating Students Performance in Adaptive 3D-Virtual Learning Environments Using Fuzzy Logic

Authors

  • A. ALAM
  • S. ULLAH
  • M. Z. BURQI
  • AMANULLAH
  • N. ALI

Keywords:

Virtual reality, Adaptive Three dimensional virtual learning environments, Fuzzy logic, Linguistic variables, Student evolution methods

Abstract

Fuzzy logic better evaluates student performance and can be applied for aptitude testing, recruitment procedure, skill based certification and experimental learning. In this paper we use fuzzy logic to measure the learning capability of students in 3D-Virtual Learning Environment. The system enables student to enter in the next learning level through different transition paths. Fuzzy logic makes the approach more realistic and efficient. It enables weak student to make gradual improvement in the learning process while at the same time it provides an opportunity for a good learner to make quick progress. The students get motivated towards learning; hence the learning process in 3D-VLEs improves.

Downloads

Download data is not yet available.

Downloads

Published

2016-06-13

How to Cite

Evaluating Students Performance in Adaptive 3D-Virtual Learning Environments Using Fuzzy Logic. (2016). Sindh University Research Journal - SURJ (Science Series), 48(2). https://sujo.usindh.edu.pk/index.php/SURJ/article/view/4891

Similar Articles

1-10 of 433

You may also start an advanced similarity search for this article.