Incorporating Computational Thinking Into Virtual Laboratories to Enhance Learning Motivation, Engagement, and Higher‐Order Thinking Skills.

Saved in:
Bibliographic Details
Title: Incorporating Computational Thinking Into Virtual Laboratories to Enhance Learning Motivation, Engagement, and Higher‐Order Thinking Skills.
Authors: Wu, Ting‐Ting1, Sarwono, Edi1,2, Huang, Yueh‐Min3 huang@mail.ncku.edu.tw
Source: Journal of Computer Assisted Learning. Apr2025, Vol. 41 Issue 2, p1-17. 17p.
Subjects: Scale analysis (Psychology), Pearson correlation (Statistics), Computer simulation, School environment, T-test (Statistics), Engineering, Undergraduates, Educational outcomes, Clinical trials, Questionnaires, Educational technology, Quantitative research, Descriptive statistics, Analysis of covariance, Problem solving, Teaching methods, Educational tests & measurements, Virtual reality, Motivation (Psychology), Control groups, Pre-tests & post-tests, Creative ability, Problem-based learning, Research methodology, Statistics, Ability, Computer assisted instruction, Comparative studies, Data analysis software, Student attitudes, Critical thinking, Training
Geographic Terms: Indonesia
Abstract: Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher‐order thinking skills (HOTS). Computational thinking (CT) is an approach to problem‐solving. Incorporating the CT approach into virtual laboratories to enhance problem‐solving skills and critical thinking skills is still understudied. Objectives: This study investigated the effect of incorporating the CT approach into virtual laboratories on the learning motivation, engagement, and HOTS of students. Methods: A quasi‐experimental study was conducted to investigate the impact of the proposed approach. Forty‐eight undergraduate electrical engineering students participated in this study. Pre‐ and post‐test questionnaire data on learning motivation, engagement, and HOTS were collected from both an experimental group that utilised virtual laboratories and a computational thinking approach and a control group that used virtual laboratories only. Results and Conclusions: The result of the quantitative analysis revealed that incorporating the CT approach into virtual laboratories resulted in a significant difference in learning motivation, engagement, and HOTS between the experimental and control groups. These findings point out that incorporating the CT approach into virtual laboratories positively affects the learning motivation, engagement, and HOTS of learners who are enrolled in practical courses. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computer Assisted Learning is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher‐order thinking skills (HOTS). Computational thinking (CT) is an approach to problem‐solving. Incorporating the CT approach into virtual laboratories to enhance problem‐solving skills and critical thinking skills is still understudied. Objectives: This study investigated the effect of incorporating the CT approach into virtual laboratories on the learning motivation, engagement, and HOTS of students. Methods: A quasi‐experimental study was conducted to investigate the impact of the proposed approach. Forty‐eight undergraduate electrical engineering students participated in this study. Pre‐ and post‐test questionnaire data on learning motivation, engagement, and HOTS were collected from both an experimental group that utilised virtual laboratories and a computational thinking approach and a control group that used virtual laboratories only. Results and Conclusions: The result of the quantitative analysis revealed that incorporating the CT approach into virtual laboratories resulted in a significant difference in learning motivation, engagement, and HOTS between the experimental and control groups. These findings point out that incorporating the CT approach into virtual laboratories positively affects the learning motivation, engagement, and HOTS of learners who are enrolled in practical courses. [ABSTRACT FROM AUTHOR]
ISSN:02664909
DOI:10.1111/jcal.70017