Online learning dexterity

A multidimensional model predicting academic performance

Authors

  • Guo Qiang Tan Nanyang Polytechnic, Singapore

DOI:

https://doi.org/10.32674/s8nqcf98

Keywords:

Academic performance, asynchronous learning dexterity, learning access dexterity, learning technology dexterity, online collaboration dexterity, online learning dexterity, self-directed learning dexterity

Abstract

The adoption of online learning in the education sector was accelerated by the unprecedented COVID-19 pandemic. Online learning dexterity is unpacked into six dimensions: asynchronous learning dexterity, synchronous learning dexterity, self-directed learning dexterity, online collaboration dexterity, learning technologies dexterity, and learning access dexterity. This study formulated a predictive model of online learning dexterity on students’ academic performance. The study adopted a quantitative method using the deductive approach to establish the impact of the six dimensions of online learning dexterity on academic performance in Singapore. Participants (N = 150) were randomly sampled through a non-probability sampling approach. Using Smart-PLS version 4 to assess measurement and structural models, PLS-SEM techniques were employed. The model achieved constructs’ reliability and validity for both measurement and structural model.

Additional Files

Published

2025-04-07

How to Cite

Tan, G. Q. (2025). Online learning dexterity: A multidimensional model predicting academic performance. American Journal of STEM Education, 9, 89-109. https://doi.org/10.32674/s8nqcf98