Research on the Individual Learning Process Model of the E-Learning System Based on Social Tags

Abstract:

In this paper, we believed that social tag is a new paradigm of resource organizing and sharing. It is a very suitable technology using in e-learning systems. We discussed with the learning process in the e-learning system based on social tags. We brought forward a new individual learning process model based on social tags. And we compared with the new learning process model and traditional process model. The new individual learning process model could improve the interaction between learners and between human and computers. The social tags could help the e-learning system build the learners preference model and knowledge model.

• Periodical: Advanced Materials Research (Volumes 760-762)
• Pages: 2056-2059
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.760-762.2056
• Online since: September 2013
• Authors: Yuan Zhang, Xia Feng
• Keywords: Interaction, Learning Process Model, Social Tags

References

[1] Aleksandra Klasnja Milicevic, Alexandros Nanopoulos , Mirjana Ivanovic, Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions, Artif Intell Rev (2010) 33: 187–209.

DOI: 10.1007/s10462-009-9153-2

[2] Scott Bateman, Christopher Brooks, Gordon McCalla, Peter Brusilovsky, Applying Collaborative Tagging to E-Learning, WWW 2007, May 8-12, 2007, Banff, Canada.

[3] Carsten Ullrich, Kerstin Borau, Heng Luo, Xiaohong Tan, Liping Shen, Ruimin Shen, Why web 2. 0 is good for learning and for research: principles and prototypes, WWW '08 Proceeding of the 17th international conference on World Wide Web.

DOI: 10.1145/1367497.1367593

[4] Xin Li, Lei Guo, Yihong Eric Zhao, Tag-based Social Interest Discovery, WWW2008.

[5] Vassileva, Julita, Toward social Learning Environments, IEEE RANSACTIONS ON LEARNING TECHNOLOGIES Vol. 1 No. 4 : 199-214, (2008).

[6] Christian Dalsgaard, Social software: E-learning beyond learning management systems, http: /www. eurodl. org/materials/contrib/2006/Christian_Dalsgaard. htm.

[7] Zhang, Xuemin , Research on personalized E-learning model, ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, v 1, pp.635-637, (2008).

DOI: 10.1109/cccm.2008.391

[8] Teo, Chao Boon; Gay, Robert Kheng Leng, A knowledge-driven model to personalize e-learning, ACM Journal on Educational Resources in Computing, v 6, n 1, March 1, (2006).

[9] Yin, Chun-Yong; Luo, Qi, Personality mining system in E-learning by using improved association rules, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, v 7, pp.4130-4134, (2007).

DOI: 10.1109/icmlc.2007.4370869

[10] Romero, Cristóbal; Ventura, Sebastián; García, Enrique, Data mining in course management systems: Moodle case study and tutorial, Computers and Education, v 51, n 1, pp.368-384, August (2008).

DOI: 10.1016/j.compedu.2007.05.016

[11] Keleberda, Igor; Repka, Victoria; Biletskiy, Yevgen, Semantic mining based on the learner's preferences, Canadian Conference on Electrical and Computer Engineering, pp.502-504, (2007).

DOI: 10.1109/ccece.2006.277467

[12] Pan, Jianguo; Zhang, Bofeng; Wang, Shufeng; Wu, Gengfeng, A personalized semantic search method for intelligent e-learning, The 2007 International Conference on Intelligent Pervasive Computing, IPC 2007, pp.11-14, (2007).

DOI: 10.1109/ipc.2007.48

[13] Zhuhadar, Leyla; Nasraoui, Olfa, Semantic information retrieval for personalized e-learning, International Conference on Tools with Artificial Intelligence, ICTAI, v 1, pp.364-368, (2008).

DOI: 10.1109/ictai.2008.130