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Investigating Students' Answering Behaviors in a Computer-Based Mathematics Algebra Test: A Cognitive-Load Perspective.
Wang, Jing-Fong; Wang, Tzu-Hua; Huang, Chao-Hsien.
Affiliation
  • Wang JF; Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan.
  • Wang TH; Research Center for Education and Mind Sciences, National Tsing Hua University, Hsinchu 300193, Taiwan.
  • Huang CH; Department of Education and Learning Technology, National Tsing Hua University, Hsinchu 300193, Taiwan.
Behav Sci (Basel) ; 12(8)2022 Aug 18.
Article in En | MEDLINE | ID: mdl-36004864
ABSTRACT
Computer-based testing is an emerging method to evaluate students' mathematics learning outcomes. However, algebra problems impose a high cognitive load due to requiring multiple calculation steps, which might reduce students' performance in computer-based testing. In order to understand students' cognitive load when answering algebra questions in a computer-based testing environment, three perspectives, element interactivity, practice effect, and individual differences, were investigated in this study. Seven levels of algebra exam questions were created using unary and simultaneous linear equations, and the inverse efficiency scores were employed as a measure of cognitive load in the study. Forty undergraduate and graduate students were tested. There were four

findings:

(1) As the element interactivity of test materials increased, the cognitive load increased rapidly. (2) The high-efficiency group had a lower cognitive load than the low-efficiency group, suggesting that the high-efficiency group had an advantage in a computer-based testing environment. (3) "Practice" has a considerable effect on reducing cognitive load, particularly in level 6 and 7 test items. (4) The low-efficiency group can reduce but not eliminate the gap with the high-efficiency group; they may require additional experience in a computer-based testing environment in order to improve reducing their cognitive load.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Behav Sci (Basel) Year: 2022 Document type: Article Affiliation country: Taiwán

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Behav Sci (Basel) Year: 2022 Document type: Article Affiliation country: Taiwán