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

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

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...

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Bibliographic Details
Main Authors: Qingsheng Zhang, Di Yang, Pengjun Fang, Nannan Liu, Lu Zhang
Format: Article
Language:English
Published: Kassel University Press 2020-09-01
Series:International Journal of Emerging Technologies in Learning (iJET)
Subjects:
question recommender
student academic capability
knowledge component
bayesian network
software engineering
Online Access:https://online-journals.org/index.php/i-jet/article/view/11594

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