Browse > Article
http://dx.doi.org/10.3745/KTSDE.2016.5.9.411

Learner Activity Modeling Based on Teaching and Learning Activities Data  

Kim, Kyungrog (호서대학교 전자디스플레이공학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.9, 2016 , pp. 411-418 More about this Journal
Abstract
Learning analytic has been utilized to helps us to successfully complete the course by using the interaction of the teacher and the learner data generated from the teaching and learning support system. In other words, Learning analytic is a method in order to understand the activities of learners. In the learning analytic, the data model is needed in order to utilize the more useful for teaching and learning activities data. Therefore, in this study, we propose a user centric data model of learning styles and learning objects. This model is expressed by aggregating of user learning style, learning objects, and learning activities. The proposed model is significant that laid the foundation for analyzing the activities of the learners in course units.
Keywords
Data Mining; Learning Analytics; Learning Style; Data Model; Learner Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 A. Del Blanco et al., "E-Learning standards and learning analytics. Can data collection be improved by using standard data models?" Global Engineering Education Conference (EDUCON), 2013 IEEE, pp.1255-1261. 2013.
2 Tanya Elias, "Learning Analytics: The Definitions, the Processes, and the Potential," pp.1-22, 2011.
3 Dietz-Uhler, Beth and Janet E. Hurn, "Using learning analytics to predict (and improve) student success: A faculty perspective," Journal of Interactive Online Learning, Vol.12, No.1 pp.17-26, 2013.
4 Mohamed Amine Chatti, "The LaaN Theory," Personal learning environments, networks, and knowledge, 2013 [Internet], www.elearn.rwth-aachen.de/dl1151Mohamed_Chatti_LaaN_preprint.pdf.
5 Van Barneveld, Angela, Kimberly E. Arnold, and John P. Campbell, "Analytics in higher education: Establishing a common language," EDUCAUSE Learning Initiative, pp.1-11, 2012.
6 Siemens, George, "Learning Analytics The Emergence of a Discipline," American Behavioral Scientist, Vol.57, No.10, pp.1380-1400, 2013.   DOI
7 Baker, Ryan S. J. D, and Kalina Yacef, "The state of educational data mining in 2009: A review and future visions," Journal of Educational Data Mining, Vol.1, No.1, pp.3-17, 2009.
8 U.S. Department of Education, "Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief," 2012.
9 Al-Azawei Ahmed and Atta Badii, "State of The Art of Learning Styles-Based Adaptive Educational Hypermedia Systems (LS-BAEHSs)," International Journal of Computer Science and Information Technology, Vol.6, No.3, pp.1-19, 2014.
10 Verbert Katrien et al., "Dataset-driven research to support learning and knowledge analytics," Journal of Educational Technology & Society, Vol.15, No.3, pp.133-148, 2012.
11 Jin-Hee Park, "The Relationship between Individual Difference and Science Academic Achievement of High School Students," Ph.D. dissertation, Gyeongsang National University, Jinju, Gyeongnam, Korea, pp.19-31, 2010.
12 P. Q. Dung and A. M. Florea, "An approach for detecting learning styles in learning management systems based on learners' behaviours," in Proceedings of the 2012 International Conference on Education and Management Innovation, Kuala Lumpur, Malaysia, Vol.30, pp.171-177, 5-6 May, 2012.
13 Kyungrog Kim et al., "Teaching-Learning Activity Modeling Based on Data Analysis," Symmetry, Vol.7, No.1, pp.206-219, 2015.   DOI
14 Alice Y. Kolb and David A. Kolb, "Learning styles and learning spaces: Enhancing experiential learning in higher education," Academy of Management Learning & Education, Vol.4, No.2, pp.193-212, 2005.   DOI
15 Fabiano A. Dorca et al., "A new approach to discover students learning styles in adaptive educational systems," Revista Brasileira de Informatica na Educacao, Vol.21, No.1, pp.76-90, 2013.
16 Niemann, Katja, Maren Scheffel, and Martin Wolpers, "An overview of usage data formats for recommendations in TEL," Proceedings of the 2nd Workshop on Recommender Systems for Technology Enhanced Learning (RecSys TEL-2012), Vol.896, pp.95-100, 2012.
17 Vlatko Lukarov et al., "Data Models in Learning Analytics," Proceedings of DeLFI Workshops 2014, 15-17 September 2014 Freiburg Seiten_Artikel-Nr. pp.88-95, 2014.
18 IMS Global, "Learning Measurement for Analytics Whitepaper," 2013 IMS Global Learning Consortium, Inc. pp 1-12.
19 Kyung-Rog Kim and N. M. Moon, "Content modeling based on social network community activity," Journal of Information Processing System, Vol.10, No.2, pp.271-282, 2014.   DOI
20 Cristobal Romero and Sebastian Ventura, "Data mining in education," Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol.3, No.1, pp.12-27, 2013.   DOI