A Cluster-based Personalized Item Recommended Approach on the Educational Assessment System

Authors

  • Chien-Yuan Su Zhejiang University
  • Jiawei Chang
  • Tikai Chiu
  • Tungcheng Hsieh

DOI:

https://doi.org/10.3991/ijet.v10i5.4807

Keywords:

architectures for educational technology system, authoring tools and methods, elementary education, evaluation methodologies, human-computer interface

Abstract


Personalized item recommendation enables the educational assessment system to make deliberate efforts to perform appropriate assessment strategies that fit the needs, purposes, preferences, and interests of individual teachers. This study presents a dynamically personalized item-recommendation approach that is based on clustering in-serve teachers with assessment compiling interest and preference characteristics to recommend available, best-fit candidate items to support teachers to construct their classroom assessment. A two-round assessment constructing activity was being adopted to collect and extract these teacher’ assessment knowledge (item selected preference behaviors), and through the designed item-recommendation mechanism to facilitate IKMAAS [1] to recommend proper items to meet different individual in-serve teachers. To evaluate the effectiveness and usability for the cluster-based personalized item-recommendation, the assessment system log analysis and the questionnaire collected from participating teachers’ perceptions were being used. The results showed the proposed item-recommendation approach based on clustered teachers’ assessment knowledge can effectively improve their educational assessment construction.

Author Biography

Chien-Yuan Su, Zhejiang University

Chien-Yuan Su is currently a full-time assistant professor in the institute of educational technology at Zhejiang University, China. He received the B.S. degree of computer management from Providence University, Taiwan in 2001; M.S. in Department of Information and Learning Technology from National University of Tainan in 2006; and Ph.D. in Department of Engineering Science at National Cheng Kung University in 2012. From 2006 to 2012, he was an adjunct instructor at Chia Nan University of Pharmacy and Science. After 2012, he promoted to the adjunct assistant professor at Chia Nan University of Pharmacy and Science. He was also a computer instructor in two community colleges in Tainan who teaching adults from 2009 to 2013. In addition, he served as a postdoctoral in the Department of Engineering Science at National Cheng Kung University from 2012 to 2014, when he graduated. Until now, he received to be a reviewer of journal of computer assist learning (SSCI), journal of DATA & KNOWLEDGE ENGINEERING (SCI), and the journal of Educational Research and Reviews. His major interest in the field includes e-learning, Intelligent Tutoring Systems, Technology Enhanced Learning, e-Learning Pedagogical Strategies, Developing e-Learning for Specific Subject Domains and e-Assessment. Some journal and international conference paper have been published as follows:

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Published

2015-11-13

How to Cite

Su, C.-Y., Chang, J., Chiu, T., & Hsieh, T. (2015). A Cluster-based Personalized Item Recommended Approach on the Educational Assessment System. International Journal of Emerging Technologies in Learning (iJET), 10(5), pp. 52–58. https://doi.org/10.3991/ijet.v10i5.4807

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Section

Papers