Instruction Resource Recommendation Services for Elementary Schools in Taiwan

Authors: Hong-Ren Chen, Fang-Yu Yeh

Abstract:

In the past, there were more researches of recommendation system in applied electronic commerce. However, because all circles promote information technology integrative instruction actively, the quantity of instruction resources website is more and more increasing on the Internet. But there are less website including recommendation service, especially for teachers. This study established an instruction resource recommendation website that analyzed teaching style of teachers, then provided appropriate instruction resources for teachers immediately. We used the questionnaire survey to realize teacher-s suggestions and satisfactions with the instruction resource contents and recommendation results. The study shows: (1)The website used “Transactional Ability Inventory" that realized teacher-s style and provided appropriate instruction resources for teachers in a short time, it reduced the step of data filter. (2)According to the content satisfaction of questionnaire survey, four styles teachers were almost satisfied with the contents of the instruction resources that the website recommended, thus, the conception of developing instruction resources with different teaching style is accepted. (3) According to the recommendation satisfaction of questionnaire survey, four styles teachers were almost satisfied with the recommendation service of the website, thus, the recommendation strategy that provide different results for teachers in different teaching styles is accepted.

Keywords: Instruction resource, recommendation service, teaching style.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080598

References:

[1] Wei, Y.Z., Moreau L. and Jennings N.R. 2005. A Market-Based Approach to Recommender Systems. ACM Trans. Inform. Syst. 23(3):227-266.
[2] Chih-Hung Huang, "An Agent-based Wireless Context-Aware File Sharing and Recommendation System," M.S. thesis, National Chung-Shing Univ., Taiwan, 2004.
[3] Ya-Ru Kuo, "Applying Analytic Hierarchy Process to Mobile Phone Recommendation," M.S. thesis, National Sun Yat-sen Univ.., Taiwan, 2004.
[4] Yu-Tsang Lai, "Effect of Recommendation Interface and Cognitive Styles on User Satisfaction," M.S. thesis, National Sun Yat-sen Univ., Taiwan, 2004.
[5] Cheng-De Chen, "An Item-Based Collaborative Filtering Method for Material Browsing Recommendation in E-Learning System," M.S. thesis, National Sun Yat-sen Univ., Taiwan, 2003.
[6] Yi-Ting Kuan, "The Study of Learning Resource Recommandation Mechanism Based on Learning Style," M.S. thesis, Chung Yuan Christan Univ., Taiwan, 2002.
[7] A.M. Rashid, I. Albert, D. Cosley, S.K. Lam, S. McNee, J.A. Konstan and J. Riedl, Getting to Know You: Learning New User Preferences in Recommender Systems. Retrieved June 19, 2006, from http://www.iuiconf.org/02pdf/2002-001-0019.pdf.
[8] J.B. Schafer, J.A. Konstan, and J. Riedl. (1999). Recommender Systems in E-Comemerce. Retrieved June 19, 2006, from http://www.cs.umn.edu /research/ GroupLens/papers/pdf/ec-99.pdf
[9] A.F. Gregorc, Learning/teaching styles: Potent force behind them. Educational Leadership, 36(4), 234-236, 1979.
[10] Jing-Yuan Zhang, The Verification of an Integrative Model of Mathematical Learning Process, PhD. thesis, National Taiwan Normal Univ., Taiwan, 1988.
[11] A.F. Gregorc, T.I. Ward Jefferson, and T.J. Nagy, A Domain-Driven Approach to Improving Search Effectiveness in Traditional Online Catalogs. Information and Management, 39(7), 559-570, 2002.
[12] Li-Fang Zhang,. Thinking styles: university students- preferred teaching styles and their conceptions of effective teachers. The Journal of Psychology, 138(3), 233-252, 2004.
[13] T.I. Jeffersonand T.J. Nagy. A Domain-Driven Approach to Improving Search Effectiveness in Traditional Online Catalogs. Information and Management, 39(7), 559-570, 2002.
[14] W.J. Doll and G. Torkzadeh. The Measurement of End-User Computing Satisfaction. MIS Quarterly, 12, 259-274, 1988.