Web Application for Evaluating Tests in Distance Learning Systems
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.
[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
[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
@article{"International Journal of Business, Human and Social Sciences:71371", author = "Bogdan Walek and Vladimir Bradac and Radim Farana", title = "Web Application for Evaluating Tests in Distance Learning Systems", 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.", volume = "9", number = "11", pages = "3844-5", }
