Projects per year
Abstract
This study is based on a novel conceptual framework, precision education, and takes a blended Python programming course as an example to explore how to implement precision education that includes diagnosis, prediction, prevention and treatment. Precision education follows the principles of personalized services for precision medicine. Its purpose is to strengthen the learning risk prediction and early intervention mentioned in emerging learning analytics through big data, artificial intelligence and other emerging technologies, thereby improving teacher teaching quality and student learning efficiency. This study is based on the design of the e-book learning dashboard, so that teachers can quickly understand students' learning status, and improve the e-book through students' feedback on the dashboard to achieve precision diagnosis. Next, this study uses machine learning algorithms to predict students' learning performance, and thus determine whether students are at-risk to achieve precision prediction. Finally, through the correspondence between reading strategy and reading sequence, and then clearly distinguish the types of students by grouping, and use it as a treatment target for precision treatment and prevention. It is hoped that this empirical study can be used as a case study for implementing precision education.
Original language | English |
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Title of host publication | Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 |
Editors | Hiroyuki Mitsuhara, Yoshiko Goda, Yutato Ohashi, Ma. Mercedes T. Rodrigo, Jun Shen, Neelakantam Venkatarayalu, Gary Wong, Masanori Yamada, Leon Chi-Un Lei |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 327-332 |
Number of pages | 6 |
ISBN (Electronic) | 9781728169422 |
DOIs | |
State | Published - 8 Dec 2020 |
Event | 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 - Virtual, Takamatsu, Japan Duration: 8 Dec 2020 → 11 Dec 2020 |
Publication series
Name | Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 |
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Conference
Conference | 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 |
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Country/Territory | Japan |
City | Virtual, Takamatsu |
Period | 8/12/20 → 11/12/20 |
Keywords
- Diagnosis
- Learning analytics
- Precision education
- Prediction
- Prevention
- SQ3R
- Treatment
Fingerprint
Dive into the research topics of 'The implementation of precision education for learning analytics'. Together they form a unique fingerprint.Projects
- 3 Finished
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The Research of Applying Educational Big Data and Learning Analytics to Improve Self-Regulated Learning in Programming(1/3)
Yang, S. J. H. (PI)
1/08/20 → 31/07/21
Project: Research
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An Empirical Study on the Cultivation and Learning Analytics of Computational Thinking Skills(2/3)
Yang, S. J. H. (PI)
1/08/20 → 31/07/21
Project: Research
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The Research of Applying Big Data to Improving Moocs Learning Analytics:An Empirical Study of College Calculus(3/3)
Yang, S. J. H. (PI)
1/08/19 → 31/07/20
Project: Research