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

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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]
Copyright of International Journal of Technology in Teaching & Learning is the property of Society of International Chinese in Educational Technology (SICET) 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: Education Research Complete
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  Data: Influential Factors on Technology-Based Learning in Science, Mathematics, and Engineering (SME): A Case-Analysis from 305 Studies.
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  Data: <searchLink fieldCode="AR" term="%22Leping+Liu%22">Leping Liu</searchLink><relatesTo>1</relatesTo><i> liu@unr.edu</i><br /><searchLink fieldCode="AR" term="%22Li-Ting+Chen%22">Li-Ting Chen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wenzhen+Li%22">Wenzhen Li</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Technology+in+Teaching+%26+Learning%22">International Journal of Technology in Teaching & Learning</searchLink>. 2020/2021, Vol. 16 Issue 2, p106-128. 23p.
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  Data: 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]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Technology in Teaching & Learning is the property of Society of International Chinese in Educational Technology (SICET) 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.</i> (Copyright applies to all Abstracts.)
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              Text: 2020/2021
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