Evaluation of mathematics knowledge level through personalized learning exercise based on the adaptive tests

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Abstract

Personalized exercise pursues the goal of the most effective improvement by least exercise. How to recommend exercises for students to achieve this goal is the core and key issues of personalized exercise. This paper analyzed the feasibility of applying adaptive testing in personalized exercise, and adopted non-equivalent control group pre-test post-test designing. The result has shown that applying adaptive test can effectively improve the students' ability level and performance.

Original languageEnglish
Title of host publicationProceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
EditorsAhmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen
PublisherAsia-Pacific Society for Computers in Education
Pages116-118
Number of pages3
ISBN (Print)9789869401265
StatePublished - 2017
Event25th International Conference on Computers in Education, ICCE 2017 - Christchurch, New Zealand
Duration: 4 Dec 20178 Dec 2017

Publication series

NameProceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

Conference

Conference25th International Conference on Computers in Education, ICCE 2017
Country/TerritoryNew Zealand
CityChristchurch
Period4/12/178/12/17

Keywords

  • Adaptive Testing
  • Feedback Theory
  • IRT
  • Personalized learning exercise

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