Cognitive resources allocation in computer-mediated dictionary assisted learning: From word meaning to inferential comprehension
You-Hsuan Chang, Tzu-Chien Liu, Department of Educational Psychology and Counseling, Taiwan ; Fred Paas, Department of Psychology, Education and Child Studies, Netherlands
Computers & Education Volume 127, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd
Computer-mediated dictionaries have been important and widely used aids in the comprehension of, and learning from online texts. However, despite the convenience of computer-mediated dictionaries in retrieving word meaning, its use may reduce the time that readers spend reading each word and negatively affect word retention. In addition, readers' vocabulary size is a key factor influencing the lookup process, and its effectiveness. Therefore, in this study, we propose a new ‘checking-meaning’ function to optimize word retention and to explain readers' cognitive resources allocation in computer-mediated dictionary assisted learning. We conducted a 2 (checking meaning function: with vs. without) × 2 (vocabulary size: large vs. small) between-subjects design to explore the effectiveness of vocabulary acquisition and reading comprehension performance in computer-mediated dictionary-assisted reading. In line with the hypotheses, results revealed that the computer-mediated dictionary with checking-meaning function enhanced small vocabulary size learners' vocabulary acquisition, but negatively influenced large vocabulary size learners' reading comprehension performance. Based on these results, we propose the competition-cooperation relationship to explain readers' cognitive resources allocation in computer-mediated dictionary assisted learning.
Chang, Y.H., Liu, T.C. & Paas, F. (2018). Cognitive resources allocation in computer-mediated dictionary assisted learning: From word meaning to inferential comprehension. Computers & Education, 127(1), 113-129. Elsevier Ltd.
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Ming-Yueh Hwang, Jon-Chao Hong, Jian-Hong Ye, Yu-Feng Wu, Kai-Hsin Tai & Ming-Chi Kiu
Computers & Education Vol. 138, No. 1 (September 2019) pp. 33–45
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