
Course Achievement Evaluation Using Concept Map in Traditional Learning
Author(s) -
Peihan Huang,
Shaohui Lin,
Jingling Yuan,
Haishan Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1624/5/052014
Subject(s) - computer science , mathematics education , artificial intelligence , concept map , machine learning , psychology
Concept map (CM) has been proved to be pretty efficient in learning assessment. Existing CM-based learning assessment methods tend to compare a CM delivered by a student against a standard version or expert version. This manuscript employs CM as a technique to assess students’ learning performance from the results of a bunch of traditional performance assessments. The experimental results show a more comprehensive result for interpreting students’ learning performance and provide some indications of the gap between teaching and learning for future teaching reforms.