Influential Factors on Technology-Based Learning in Science, Mathematics, and Engineering (SME): A Case-Analysis from 305 Studies.

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Bibliographic Details
Title:	Influential Factors on Technology-Based Learning in Science, Mathematics, and Engineering (SME): A Case-Analysis from 305 Studies.
Authors:	Leping Liu¹ liu@unr.edu, Li-Ting Chen¹, Wenzhen Li¹
Source:	International Journal of Technology in Teaching & Learning. 2020/2021, Vol. 16 Issue 2, p106-128. 23p.
Subject Terms:	Effective teaching, STEM education, Educational technology, Interactive learning, *Case studies
Abstract:	With new technology tools available for educators and students, effectively using these tools to improve teaching and learning has become a constant theme for research and practice in the field of education. In this study, case-analysis was conducted on 305 published studies (from 140 peerreviewed regional, national and international journals) that explored the effect of using technology on student learning in science, mathematics, and engineering (SME) at K-12 and university levels. Seven factors were summarized (Content Design, Technology Design, Integration Design, Interactive Learning, Motivation, New Trends in Content, and New Trends in Technology) and used to generate a logistic predictive model. The model suggests that five of the seven factors significantly predicting the probability of a technology-based SME learning experience to be successful. A technology integration model was tested with the case analysis. Static and dynamic instructional design models and new trends in e-learning are also discussed. [ABSTRACT FROM AUTHOR]
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Database:	Education Research Complete

Description
Abstract:	With new technology tools available for educators and students, effectively using these tools to improve teaching and learning has become a constant theme for research and practice in the field of education. In this study, case-analysis was conducted on 305 published studies (from 140 peerreviewed regional, national and international journals) that explored the effect of using technology on student learning in science, mathematics, and engineering (SME) at K-12 and university levels. Seven factors were summarized (Content Design, Technology Design, Integration Design, Interactive Learning, Motivation, New Trends in Content, and New Trends in Technology) and used to generate a logistic predictive model. The model suggests that five of the seven factors significantly predicting the probability of a technology-based SME learning experience to be successful. A technology integration model was tested with the case analysis. Static and dynamic instructional design models and new trends in e-learning are also discussed. [ABSTRACT FROM AUTHOR]
ISSN:	19375204
DOI:	10.37120/ijttl.2020.16.2.04