Develop Academic Question Recommender Based on Bayesian Network for Personalizing Student’s Practice

Authors

  • Qingsheng Zhang Xi'an University of Posts and Telecommunications
  • Di Yang Xi'an University of Posts and Telecommunications
  • Pengjun Fang Xi'an University of Posts and Telecommunications
  • Nannan Liu Xi'an University of Posts and Telecommunications
  • Lu Zhang Xi'an University of Posts and Telecommunications

DOI:

https://doi.org/10.3991/ijet.v15i18.11594

Keywords:

question recommender, student academic capability, knowledge component, Bayesian network, software engineering

Abstract


Study in Literatures shows that tracing knowledge state of student is corner stone of intelligent tutoring system for personalized learning. In this paper, an academic question recommender based on Bayesian network is developed for personalizing practice question sequence with tracing mastery level of student on knowledge components. This question recommender is discussed with theoretical analysis, and designed and implemented in software engineering way. It provides instructor with tools for building knowledge component network and setting question of course. It also makes student personalize practice questions of course. This question recommender is planned to deploy in real learning context for the future validation of how well such question recommendation improves performance and saves practice time for student.

Author Biographies

Qingsheng Zhang, Xi'an University of Posts and Telecommunications

Qingsheng Zhang is with Xi’an University of Posts and Telecommunications, Xi’an, China. His research interests include ubiquitous computing, context-aware computing applications, distributed computing and applications, data mining, and adaptive eLearning. (email: zhangqs@xupt.edu.cn).

Di Yang, Xi'an University of Posts and Telecommunications

Di Yang is now with Alibaba Group. (email: Dick_YangDi@163.com).

Pengjun Fang, Xi'an University of Posts and Telecommunications

Pengjun Fang is now with Kingdee Apusic Cloud Computing Co. Ltd.. (email: fangpj1981@163.com).

Nannan Liu, Xi'an University of Posts and Telecommunications

Nannan Liu is now with Archforce Financial Technology. (email: lakesi_nan@163.com).

Lu Zhang, Xi'an University of Posts and Telecommunications

Lu Zhang is now with Alibaba Group. (email: luis404@163.com).

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Published

2020-09-25

How to Cite

Zhang, Q., Yang, D., Fang, P., Liu, N., & Zhang, L. (2020). Develop Academic Question Recommender Based on Bayesian Network for Personalizing Student’s Practice. International Journal of Emerging Technologies in Learning (iJET), 15(18), pp. 4–19. https://doi.org/10.3991/ijet.v15i18.11594

Issue

Section

Papers