Journal of East China Normal University(Educational Sciences) ›› 2021, Vol. 39 ›› Issue (8): 57-69.doi: 10.16382/j.cnki.1000-5560.2021.08.005

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Research on Analysis of Knowledge Acquisition and Cognitive Ability Based on Rasch Model in Smart Education

Fati Wu1, Hao Tian2, Yu Wang3, Minsheng Fan4   

  1. 1. Engineering Research Center of Digital Learning and Educational Public Service, Ministry of Education, Beijing, 100875, China
    2. School of Educational Technology, Beijing Normal University, Beijing, 100875, China
    3. Baoan High School Group Experimental School, Shenzhen Guangdong, 518101, China
    4. School of Educational Technology, Northwest Normal University, Lanzhou, 730070, China
  • Online:2021-08-01 Published:2021-08-04

Abstract:

How to accurately and personally diagnose and evaluate learners is an important issue in the era of smart education. At present, the main method of learning diagnosis is still to evaluate the students’ knowledge acquisition through exam scores, ignoring the evaluation of students’ cognitive ability. So, it is not in line with the value of smart education, which emphasizes both knowledge transfer and ability cultivation. Based on the Rasch model, this study explored a method for mining students’ cognitive ability via exam scores. Took the political course as an example, set up a monthly exam paper, and compiled a two-way specification table to mark the knowledge point attribute and cognitive ability attribute. The data of 195 students were collected and the Rasch model was used to analyze the knowledge of each student behind the scores and to determine the students’ achievement of each level of cognitive ability. At the same time, according to the analysis results, radar images were generated for visual output, and the normalization of student cognitive analysis in the blended classroom was realized. This study provided a new way of the accurate diagnosis in smart education.

Key words: smart education, Rasch model, knowledge acquisition analysis, cognitive ability analysis, accurate diagnosis