Teaching Quality Evaluation and Scheme Prediction Model Based on Improved Decision Tree Algorithm

Authors

  • Sujuan Jia Department of Teaching Affairs, Hebei University of Science and Technology
  • Yajing Pang Department of Development Planning, Hebei University of Science and Technology

DOI:

https://doi.org/10.3991/ijet.v13i10.9460

Keywords:

decision tree algorithm, statistical analysis, teaching quality evaluation, teaching direction prediction

Abstract


Vast data in the higher education system are used to analyse and evaluate the teaching quality, so that the key factors that affect the quality of teaching can be predicted. Besides, the learner’s personalized behaviour can also become the data source for teaching result prediction. This paper proposes a decision tree model by taking the teaching quality data and the statistical analysis results of the learn-er’s personalized behaviour as inputs. This model was based on the improved C4.5 decision tree algorithm, which used the FAYYAD boundary point decision theorem for effectively reducing the computation time to the most threshold. In this algorithm, the iterative analysis mechanism was introduced in combination with the data change of the learner’s personalized behaviour, so as to dynamically adjust the final teaching evaluation result. Finally, according to the actual statisti-cal data of one academic year, the teaching quality evaluation was effectively completed and the direction of future teaching prediction was proposed.

Author Biographies

Sujuan Jia, Department of Teaching Affairs, Hebei University of Science and Technology

Sujuan Jia received her B.SC degree in 2005 from computer science and technology in the Hebei Normal University. M.SC degree in 2008 from computer science and technology in the Hebei University of Technology. Now she is a teacher in Hebei University of Science and Technology. Her main research interests include Computer Application and Management and teaching management.

Yajing Pang, Department of Development Planning, Hebei University of Science and Technology

Yajing Pang received her B.SC degree in 2003 from computer science and technology in the Hebei University of Science and Technology. M.SC degree in 2007 from computer Application and technology in the Hebei University of Science and Technology. Now she is a teacher in the Hebei University of Science and Technology. Her main research interests include: Computer Application and Management Computer Intelligence, Computer Measurement and Control and Computer Data Mining.

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Published

2018-10-26

How to Cite

Jia, S., & Pang, Y. (2018). Teaching Quality Evaluation and Scheme Prediction Model Based on Improved Decision Tree Algorithm. International Journal of Emerging Technologies in Learning (iJET), 13(10), pp. 146–157. https://doi.org/10.3991/ijet.v13i10.9460

Issue

Vol. 13 No. 10 (2018)

Section

Papers

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