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The Go-Lab Platform, an Inquiry-learning Space: Investigation into Students' Technology Acceptance, Knowledge Integration, and Learning Outcomes.
- Source :
-
Journal of Science Education & Technology . Feb2023, Vol. 32 Issue 1, p61-77. 17p. 4 Diagrams, 12 Charts, 1 Graph. - Publication Year :
- 2023
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Abstract
- Utilizing an inquiry-learning space (ILS) via the Go-Lab platform, we investigated students' technology acceptance, knowledge integration [KI] process, and learning outcomes of both the high-achiever KI student and low-achiever KI student. This study aimed to understand how students engage in knowledge integration tasks using an inquiry-learning space to learn Mendelian genetics and realize the relationship between student KI and domain knowledge. Using a quasi-experimental design, we examined 41 seventh-grade students in Taiwan completing Mendelian genetics KI tasks in ILS, pre/post-testing of domain knowledge tests, and a technology acceptance questionnaire. The analysis of students' interaction in the ILS and domain knowledge tests was conducted through descriptive statistics, t-tests, Pearson's correlation, and content analysis to indicate the direction and relationship between students' KI processes and learning outcomes. A technology acceptance questionnaire was analyzed through descriptive statistics and Pearson's correlation to reveal whether students accepted learning on the Go-Lab platform. The study showed that (i) students responded positively to the perceived usefulness of the Go-Lab platform, (ii) the high-achiever KI students could gradually construct links from simple to complex and diverse among genetic ideas, and the low-achiever almost built simple links, but (iii) the high-achiever and low-achiever KI students had similar learning outcomes. These findings have implications that the instruction design of knowledge integration tasks promotes students' Mendelian genetics conceptual understanding and KI progress. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10590145
- Volume :
- 32
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Science Education & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 161207886
- Full Text :
- https://doi.org/10.1007/s10956-022-10008-x