Abstract
The article aims at modern processes in order to get most out of student’s progress in an e-learning course. This desired progress is achieved by adopting a new methodology, which incorporated innovative features to enable the creation of a personalised study plan for students in a given course (in our case it means a course of the English language). The new features include two blocks. A block integrating a questionnaire to find out student’s sensory preferences and a block of student’s knowledge. Such blocks served as input values and information to create and verify the tested e-learning course. The suggested methodology made use of exiting capabilities of an e-learning platform Moodle, namely conditioned progress though a course. It also integrated new elements so that a new individual study plan would be created in an automated way. Such a complex system served as a testing unit to verify its functionality. We use a group of bachelor students studying at our institution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bos, E., van de Plassche, J.: A knowledge-based, English verb-form tutor. J. Artif. Intell. Educ. 5, 107–129 (1994)
Rudak, L.: Susceptibility to e-teaching. In: ICT for Competitiveness, Karviná, pp. 10–16 (2012)
Murphy, M., McTear, M.: Learner modelling for intelligent CALL. In: Jameson, A., Paris, C., Tasso, C. (eds.) User Modeling. ICMS, vol. 383, pp. 301–312. Springer, Vienna (1997). https://doi.org/10.1007/978-3-7091-2670-7_31
El Hmoudová, D., Milková, E.: Computer-based testing in the field of foreign language assessment. In: Efficiency and Responsibility in Education, Czech University of Life Sciences, Prague (2012)
Kostolanyová, K.: Teorie adaptivního e-learningu. Ostravská univerzita, Ostrava (2012)
Samson, D.: An architecture for web-based e-learning promoting re-usable adaptive educational e-content. Educ. Tech. Soc. 5, 27–37 (2002)
Bradáč, V.: Adaptive model to support decision-making in language e-learning. In: International Conference on Education and New Learning Technologies - Proceedings, Barcelona, pp. 4036–4045 (2013)
Habiballa, H.: Using software package LFLC 2000. In: 2nd International Conference Aplimat 2003, Bratislava, pp. 355–358 (2003)
Bradáč, V.: Enhacing assessment of students’ knowledge using fuzzy logic in e-learning. In: 10th International Scientific Conference on Distance Learning in Applied Informatics, pp. 251–262. Wolters Kluwer, Štůrovo (2014)
VARK (n.d.). http://vark-learn.com/home/
Leite, W.L.: Attempted validation of the scores of the VARK: learning styles inventory with multitrait-multimethod confirmatory factor analysis models. Educ. Psychol. Measur. 70(2), 323–339 (2009)
Acknowledgements
This paper was supported by the internal grant SGS05/PRF/2019.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Bradáč, V., Smolka, P. (2020). Personalised English Language Education Through an E-learning Platform. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_45
Download citation
DOI: https://doi.org/10.1007/978-981-15-3380-8_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3379-2
Online ISBN: 978-981-15-3380-8
eBook Packages: Computer ScienceComputer Science (R0)