Estimation of Students' Learning States using Bayesian Networks and Log Data of Learning Management System

Over the last decade, learning analytics (LA) and its related fields have rapidly developed. LA has become a robust concept of Institutional Research (IR) or student support. In this study, building a model of learning process by a Bayesian network from a large amount of educational data has been studied. Moreover, we propose the Bayesian network model for the learning process based on the log data accumulated from the learning management system (LMS). From the numerical simulation results, the proposed approach can be used to predict certain learning states of students.

[1]  Analía Amandi,et al.  eTeacher: Providing personalized assistance to e-learning students , 2008, Comput. Educ..

[2]  Admir Djulovic,et al.  Towards Freshman Retention Prediction : A Comparative Study , .

[3]  Jeff Grann,et al.  LAK15 Case Study 3: FlexPath: Building Competency-based, Direct Assessment Offerings , 2015 .

[4]  Gregory F. Cooper,et al.  A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.

[5]  Konstantina Chrysafiadi,et al.  Student modeling approaches: A literature review for the last decade , 2013, Expert Syst. Appl..

[6]  Maomi Ueno,et al.  Intelligent LMS with an agent that learns from log data , 2005 .

[7]  Maomi Ueno.  Animated pedagogical agent based on decision tree for e-learning , 2005, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05).

[8]  Kenji Funahashi,et al.  Forecasting Students' Grades Using Bayesian Network Models and an Evaluation of Their Usefulness , 2012 .

[9]  Cristina Conati,et al.  On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks , 1997 .

[10]  Hitoshi Ohnishi,et al.  Adaptive Testing Based upon Teacher Domain Knowledge Structures , 1994 .

[11]  Eitel J. M. Lauría,et al.  Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative , 2014, J. Learn. Anal..

[12]  Toshiyuki Ohtsuka,et al.  ベイジアンネットワークを用いた中学生に対する学習方法の推薦;ベイジアンネットワークを用いた中学生に対する学習方法の推薦;Recommendation on Styles of Studying for Junior High School Students Using Bayesian Networks , 2016 .

[13]  José-Luis Pérez-de-la-Cruz,et al.  Bayesian networks for student model engineering , 2010, Comput. Educ..

[14]  Maomi Ueno,et al.  Bayesian Agent in e-Learning , 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

[15]  George Siemens,et al.  Learning analytics and educational data mining: towards communication and collaboration , 2012, LAK.

[16]  Matthew D. Pistilli,et al.  Course signals at Purdue: using learning analytics to increase student success , 2012, LAK.