Impact of Using Personalized E-Course in Computer Science Education
DOI:
https://doi.org/10.7160/eriesj.2020.130402Keywords:
adaptive approach, the effectiveness of education, e-learning, learning management system, Moodle, personalised e-courseAbstract
At current e-learning platforms, is often seen non-efficient usage of their possibilities when creating educational content. This article deals with the possibilities of using adaptive tools that are offered by learning management system (LMS) Moodle when creating a personalised e-course. The methodology created by the authors of the article for personalised e-course adjusts the study content based on characteristics of each student stated by his or her initial knowledge, learning style, and motivation. The article is aimed at the presentation of the created methodology and its impact on the level of student's output knowledge as well as overall learning efficiency. By using the methodology, there was an opportunity to compare the impact of two different approaches – the personalised one and non-personalised. Statistical analysis revealed that the use of personalized e-course has a positive impact on students' activity, motivation, and their level of output knowledge. The results showed that the attended secondary school has no or only minimal impact on the output knowledge if the students studied through the personalized e-course. An interesting finding was that students in all surveys have a stronger tendency to prefer the same learning styles over the years.
References
Akbulut, Y. and Cardak, C. S. (2012) ‘Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011’, Computers and Education, Vol. 58, No. 2, pp. 835–842. http://dx.doi.org/10.1016/j.compedu.2011.10.008
Balogh, Z. and Koprda, Š. (2014) ‘Application of Petri Net for Evaluation Modeling of Student in the LMS’, DIVAI 2014: 10th International Scientific Conference on Distance Learning in Applied Informatics, Conference proceedings, Štúrovo, Slovakia, pp. 229–239.
Balogh, Z. and Kuchárik, M. (2019) ‘Predicting Student Grades Based on Their Usage of LMS Moodle Using Petri Nets’, Applied Sciences, Vol. 9, No. 20, pp. 1–16. https://doi.org/10.3390/app9204211
Basye, D. (2018) ‘Personalized Vs. Differentiated Vs. Individualized Learning’, ISTE: International Society for Technology in Education, [Online], Available: https://www.iste.org/explore/articledetail?articleid=124 [11 Nov 2019].
Bloom, B. S. (1968) ‘Learning for Mastery. Instruction and Curriculum. Regional Education Laboratory for the Carolinas and Virginia, Topical Papers and Reprints’, Evaluation comment, Vol. 1, No. 2., p. 12.
Brusilovsky, P. (2003) ‘From Adaptive Hypermedia to the Adaptive Web’, Mensch & Computer 2003: Interaktion in Bewegung, Vol. 57, pp. 21–24. http://dx.doi.org/10.1007/978-3-322-80058-9_3
Brusilovsky, P. and Millán, E. (2007) ‘User Models For Adaptive Hypermedia And Adaptive Educational Systems‘, in Brusilovsky P., Kobsa A., Nejdl W. (ed.) The Adaptive Web. Lecture Notes in Computer Science, Vol. 4321, Berlin: Springer, pp. 3–53.
Caputi, V. and Garrido, A. (2015) ‘Student-oriented planning of e-learning contents for Moodle‘, Journal of Network and Computer Applications, Vol. 53, pp. 115–127. http://dx.doi.org/10.1016/j.jnca.2015.04.001
Cater, M. (2011) Incorporating Learning Styles into Program Design, [Online], Available: https://lsuagcenterode.wordpress.com/2011/08/16/incorporating-learning-styles-into-program-design/ [20 Apr 2020]
Chráska, M. (2016) Metody pedagogického výzkumu: Základy kvantitativního výzkumu, 2nd edition, Prague: Grada.
Coffield, F. J., Moseley D. V., Hall, E. and Ecclestone, K. (2004) Should We Be Using learning styles? What research has to say to practice, [Online], Available: http://hdl.voced.edu.au/10707/64981 [15 Sep 2019].
Despotović-Zrakić, M., Marković, A., Bogdanović, Z., Barać, D. and Krčo, S. (2012) ‘Providing Adaptivity in Moodle LMS Courses‘, Educational Technology & Society, Vol. 15, No. 1, pp. 326–338.
Felder, R. M. and Soloman, B. (2002) Learning Styles And Strategies, [Online], Available: http://www4.ncsu.edu/unity/lockers/users/f/felder/public/ILSdir/styles.htm [23 Apr 2019].
Gao, Y., Peng, L., Li, F., MiaoLiu and Li, W. (2015) ‘A Multi-objective PSO with Pareto Archive for Personalized E-Course Composition in Moodle Learning System’, 8th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, pp. 21–24. http://dx.doi.org/10.1109/ISCID.2015.27
Garrido, A., Morales, L. and Serina, I. (2016) ‘On the use of case-based planning for e-learning personalization’, Expert Systems with Applications, Vol. 60, pp. 1–15. https://doi.org/10.1016/j.eswa.2016.04.030
Gavora, P. (2010) Elektronická učebnica pedagogického výskumu, [Online], Available: http://www.e-metodologia.fedu.uniba.sk/ [10 Jan 2019].
Grzybowski, D. M. and Demel, J.T. (2015) ‘Assessment of inverted classroom success based on Felder's Index of Learning Styles’, Proceedings of 122nd American Society for Engineering Education Conference and Exposition (ASEE 2015), Seattle.
Hwang, G.-J., Tsai, P. S., Tsai, C. C. and Tseng, J. C. R. (2008) ‘A novel approach for assisting teachers in analyzing student web-searching behaviors’, Computers & Education, Vol. 51, No. 2, pp. 926–938. https://doi.org/10.1016/j.compedu.2007.09.011
Kaliská, L. (2014) Potenciál felderovej koncepcie učebných štýlov v prostredí primárnej a sekundárnej edukácie, [Online], Available: http://old.mpc-edu.sk/library/files/pr_5_2014.pdf [21 Jun 2019].
Karagiannis, I. and Satratzemi, M. (2016) ‘A Framework to Enhance Adaptivity in Moodle’, Verbert K., Sharples M., Klobučar T. (ed.), Proceedings of 11th European Conference on Technology Enhanced Learning (EC-TEL 2016), Lyon, pp. 517–520.
Karagiannis, I. and Satratzemi, M. (2018) ‘An adaptive mechanism for Moodle based on automatic detection of learning styles’, Education and Information Technologies, Vol. 23, No. 3, pp. 1331–1357. http://dx.doi.org/10.1007/s10639-017-9663-5
Keefe, J. W. (1979) ‘Learning Style: An Overview’, Nassp's Student Learning Styles: Diagnosing and Prescribing Programs, Reston, VA, pp. 1–17.
Kinshuk, K., Chang, M., Dron, J., Graf, S., Kumar, V., Lin, O. and Yang, G. (2011) ‘Transition from e-learning to u-learning: Innovations and personalization issues.’ Proceedings of 3rd International Conference on Technology for Education, (T4E 2011), Changchun, China, pp. 26–31.
Klašnja-Milićević, A., Vesin, B., Ivanović, M., Budimac, Z. and Jain, L. C. (2017) ‘Personalization and Adaptation in E-Learning Systems’, E-Learning Systems, pp. 21–25, Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-41163-7_2
Kostolányová, K. (2012) Teorie adaptivního e-learningu, Ostrava: Ostravská univerzita v Ostravě, University Press.
Kostolányová, K. and Nedbalová, Š. (2014) ‘Application of Sensory Modalities in a Language Learning Diagnostics’, Journal on Efficiency and Responsibility in Education and Science, Vol. 7, No. 2, pp. 44–52. http://dx.doi.org/10.7160/eriesj.2014.070204
Kostolányová, K. and Šarmanová, J. (2016) ‘Individualisation and Personalisation of education - modern trend of eLearning’, International Journal of Continuing Engineering Education and Life-Long Learning, Vol. 26, No. 1, pp. 90–104. http://dx.doi.org/10.1504/IJCEELL.2016.075035
Kuchárik, M. and Balogh, Z. (2019) ‘Modeling of Uncertainty with Petri Nets’, Proceedings of the 11th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2019), Yogyakarta, pp. 499–509. https://doi.org/10.1007/978-3-030-14799-0_43.
Magdin, M. and Turčáni, M. (2015) ‘Personalization of student in course management systems on the basis using method of data mining’, TOJET: The Turkish Online Journal of Educational Technology, Sakarya, Vol. 14, No. 1, pp. 58–67.
Mironova, O., Amitan, I., Vilipold, J., Saar, M. and Ruutmann, T. (2013) ‘Computer science e-courses for students with different learning styles’, Proceedings of the Federated Conference on Computer Science and Information System (FEDCSIS 2013), Kraków, pp. 735–738.
Mudrák, M. (2018) ‘Personalized e-course implementation in university environment’, International Journal of Information and Communication Technologies in Education, Vol. 7, No. 2, pp. 17–29. https://doi.org/10.2478/ijicte-2018-0006
Mudrák, M., Turčáni, M. and Burianová, M. (2018) ‘Creation of personalized learning courses in adaptive LMS’, DIVAI 2018: Proceedings from 12th International Scientific Conference on Distance Learning in Applied Informatics, Štúrovo, pp. 117–128.
Mudrák, M., Turčáni, M. and Burianová, M. (2019) ‘The impact of the personalized e-course on the level of knowledge in computer science subjects’, Proceedings of the 16th International Conference Efficiency and Responsibility in Education 2019 (ERIE 2019), Prague, pp. 204–211.
Mudrychová, K., Houšková Beránková, M., Houška, M. and Horáková, T. (2018) ‘Value of Knowledge in the Process of Lifelong Education’, Proceedings of the 15th International Conference on Efficiency and Responsibility in Education (ERIE 2018), Prague, pp. 235–242.
Munk, M. (2011) Počítačová analýza dát, Nitra: Univerzita Konštantína Filozofa v Nitre.
Paramythis, A. and Loidl-Reisinger, S. (2004) ‘Adaptive Learning Environments and eLearning Standards’, Electronic Journal of e-Learning, Vol. 2, No. 1, pp. 181–194.
Perišić, J., Milovanović, M. and Kazi, Z. (2018) ‘A semantic approach to enhance moodle with personalization‘, Computer Application in Engineering Education, Vol. 26, No. 4, pp. 884–901. http://dx.doi.org/10.1002/cae.21929
Popescu, E. (2010) ‘Adaptation provisioning with respect to learning styles in a web-based educational system: An experimental study‘, Journal of Computer Assisted learning, Vol. 26, No. 4, pp. 243–257. https://doi.org/10.1111/j.1365-2729.2010.00364.x
Zounek, J., Juhaňák, L., Staudková, H. and Poláček, J. (2016) E-learning: učení (se) s digitálními technologiemi: kniha s online podporou, Prague: Wolters Kluwer.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Marián Mudrák, Milan Turčáni, Jaroslav Reichel
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors declare with this manuscript intended for publication to ERIES Journal that:
- all co-authors agree with the publication of the manuscript even after amendments arising from peer review;
- all co-authors agree with the posting of the full text of this work on the web page of ERIES Journal and to the inclusion of references in databases accessible on the internet;
- no results of other researchers were used in the submitted manuscript without their consent, proper citation, or acknowledgement of their cooperation or material provided;
- the results (or any part of them) used in the manuscript have not been sent for publication to any other journal nor have they already been published (or if so, that the relevant works are cited in this manuscript);
- submission of the manuscript for publication was completed in accordance with the publishing regulations pertaining to place of work;
- experiments performed comply with current laws and written consent of the Scientific Ethics Committee / National Animal Care Authority (as is mentioned in the manuscript submitted);
- grant holders confirm that they have been informed of the submitted manuscript and they agree to its publication.
Authors retain copyright and grant ERIES Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the published work with an acknowledgement of its initial publication in ERIES Journal. Moreover, authors are able to post the published work in an institutional repository with an acknowledgement of its initial publication in ERIES Journal. In addition, authors are permitted and encouraged to post the published work online (e.g. institutional repositories or on their website) as it can lead to productive exchanges, as well as earlier and greater citation of published work.