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Journal of Data Processing

Classification of Learning Models and the Study of Collaborative Practices

Donika Valcheva and Margarita Todorova
Faculty of Mathematics and Informatics St. Cyril and St. Methodius Univeristy, Veliko Tarnovo, Bulgaria

Abstract: We have presented a new learning model based on collaborative practices and new learning systems. In this work reclassification practices are called as learning styles according the human perceptual modalities and learning types depending on the studentÃ¢â‚¬â„¢s collaboration skills. The propped model will serve as an example for future works.

Keywords: E-learning, Learning modalities, Collaboration skills, Learning Tools and approaches Classification of Learning Models and the Study of Collaborative Practices

DOI:https://doi.org/10.6025/jdp/2022/12/4/100-106

Full_Text PDF 1.71 MB Download: 88 times

References:

[1] Alfano, M. & Lenzitti, B. (2009) A web search methodology for different user typologies. CompSysTech’09, Ruse, Bulgaria, 18–19 June, IV, 6 [DOI: 10.1145/1731740.1731822].
[2] Daniela, D. & Totkov, G. Learning styles testing in Moodle. CompSysTech’08, Gabrovo, Bulgaria, 12–13 June, IV-11–IV-11.
[3] Jones, K.O., Juliet, M. & Reid, V. Modifying teaching to address thinking styles. CompSysTech’07, Rousse, Bulgaria, 14–15 June, IV-10 (2007) [DOI: 10.1145/1330598.1330682].
[4] Todorova, M., Kalushkov, T. & Valcheva, D. (2008). APPROPRIATE E-learning ENVIRONMENT, ACCORDING TO STUDENTS LEARNING TYPE, International Conference on Information Technologies (InfoTech-2008). Bulgaria.
[5] Paiva, A. (1997) Learner modelling for collaborative learning environments. In: Proceedings of the AIED’97, Kobe, Japan. IOS Press, pp. 215–222.
[6] Jia, R.W. & Min, Y.S. (2005) The effects of learning style and flow experience on the effectiveness of e-learning. In: Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies (ICALT’05). IEEE Publications, pp. 0- 7695-2338–0-7695-2332/05 $20.00 ©.
[7] Sonnenwald, D.H. & Kim, S.-L. (2002) INVESTIGATING THE RELATIONSHIP between LEARNING STYLE PREFERENCES AND TEACHING COLLABORATION Skills AND TECHNOLOGY: An exploratory study. In: Proceedings of the American Society for Information Science and Technology, Pages p.p. (edited by E. Toms), pp. 64–73.
[8] Valcheva, D., Todorova, M. & Asenov, O. (2010b) One Approach for personalization of e-learning. International Conference on e-Learning and the Knowledge Society –e-Learning’10, Riga, Latvia.
[9] Valcheva, D., Todorova, M. & Kalushkov, T. (2009). Structuring Multimedia Scenarios According to the Different Learning Modalities. EATIS: Prague, ISBN no. 978-1-60558-398-3.
[10] Rong, W.J. & Min, Y.S. (2005) The effects of learning style and flow experience on the effectiveness of e-learning. Advanced Learning Technologies. ICALT 2005. Fifth IEEE International Conference page, Vols. 802–805. www.ieeexplore.ieee.org/stamp/ stamp.jsp?tp=&arnumber=1508821&isnumber=32317.
[11] Zhuhadar, L., Romero, E. & Wyatt, R. (2009) The effectiveness of personalization in delivering e-learning classes. Advances in Computer-Human Interactions, ACHI’09, Second International Conferences page 130-135, 1-7 Feb. 2009.
[12] http://library.thinkquest.org/C005704/content_hwl_learningmodalities.php3.

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