Web Application for Evaluating Tests in Distance Learning Systems

Authors: Bogdan Walek, Vladimir Bradac, Radim Farana

Abstract:

Distance learning systems offer useful methods of learning and usually contain a final course test or another form of test. The paper proposes a web application for evaluating tests using an expert system in distance learning systems. The proposed web application is appropriate for didactic tests or tests with results for subsequent studying follow-up courses. The web application works with test questions and uses an expert system and LFLC tool for test evaluation. After test evaluation, the results are visualized and shown to the student.

Keywords: Distance learning, test, uncertainty, fuzzy, expert system, student.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109988

References:

[1] Nicola A., Missikoff M., Schiappelli F. Towards an Ontological Support for eLearning Courses, On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops, Springer Berlin Heidelberg, 2004, pp. 773-777
[2] Gruber T. R. A translation approach to portable ontologies, Knowledge Acquisition, 1993, pp. 199-220
[3] Bradáč V., Walek B., Klimeš C., Farana R. A new way how to assess student's knowledge of the English language in e-learning. ICERI2014 Proceedings. Sevila: IATED Academy, 2014. pp. 1708-1717
[4] Habiballa H., Novák V., Dvořák A., Pavliska V. Using software package LFLC 2000, 2nd International Conference Aplimat 2003, Bratislava, 2003, pp. 355-358
[5] Klimeš C. Expert System Utilization for Modeling the Decision Making Processes upon Indetermination, Acta Electrotechnica et Informatica, Vol. 1, No. 1, 2007
[6] Klimeš C. Model of adaptation under indeterminacy, Kybernetika, Vol.47, No.3, 2011, pp. 355 – 368
[7] Huang M., Huang H., Chen M. Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach, Expert Systems with Application, Vol. 33, Issue 3, 2007, pp. 551-564
[8] Tzouveli P., Mylonas P., Kollias S. An intelligent e-learning system based on learner profiling and learning resources adaptation, Computers & Education, Vol. 51, Issue 1, 2008. pp. 224-238
[9] Woolf B. P. Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning, Elsevier Inc., Burlington, 2009, ch. 1, 6, 7, 9
[10] Gladun A., Rogushina J., Garcia-Sanchez F., Martínez-Béjar R., Fernández-Breis J. T. An application of intelligent techniques and semantic web technologies in e-learning environments, Expert Systems with Application, Vol. 36, Issue 2, 2009, pp. 1922-1931
[11] Bradáč V., Klimeš C. Language E-learning Based on Adaptive Decision-Making System. Proceedings of the 12th European Conference on e-Learning. Reading: ACPI, 2013. pp. 48-58
[12] Bradáč V. Adaptive model to support decision-making in language learning. EDULEARN2013. Barcelona: International Association of Technology, Education and Development (IATED), 2013. pp. 4036- 4045
[13] Bradáč V. Adaptive e-Learning System for Language Education. Ph.D. Thesis. University of Ostrava, 2015