i-Ntervene: applying an evidence-based learning analytics intervention to support computer programming instruction
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| Publicado en: | Smart Learning Environments vol. 10, no. 1 (Dec 2023), p. 37 |
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| Autor Principal: | |
| Outros autores: | , |
| Publicado: |
Springer Nature B.V.
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| Materias: | |
| Acceso en liña: | Citation/Abstract Full Text - PDF |
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|---|---|---|---|
| 001 | 2890353916 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2196-7091 | ||
| 024 | 7 | |a 10.1186/s40561-023-00257-7 |2 doi | |
| 035 | |a 2890353916 | ||
| 045 | 2 | |b d20231201 |b d20231231 | |
| 100 | 1 | |a Utamachant, Piriya |u Asian Institute of Technology, ICT Department, School of Engineering and Technology, Pathum Thani, Thailand (GRID:grid.418142.a) (ISNI:0000 0000 8861 2220) | |
| 245 | 1 | |a i-Ntervene: applying an evidence-based learning analytics intervention to support computer programming instruction | |
| 260 | |b Springer Nature B.V. |c Dec 2023 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Apart from good instructional design and delivery, effective intervention is another key to strengthen student academic performance. However, intervention has been recognized as a great challenge. Most instructors struggle to identify at-risk students, determine a proper intervention approach, trace and evaluate whether the intervention works. This process requires extensive effort and commitment, which is impractical especially for large classes with few instructors. This paper proposes a platform, namely i-Ntervene, that integrates Learning Management System (LMS) automatic code grader, and learning analytics features which can empower systematic learning intervention for large programming classes. The platform supports instructor-pace courses on both Virtual Learning Environment (VLE) and traditional classroom setting. The platform iteratively assesses student engagement levels through learning activity gaps. It also analyzes subject understanding from programming question practices to identify at-risk students and suggests aspects of intervention based on their lagging in these areas. Students’ post-intervention data are traced and evaluated quantitatively to determine effective intervention approaches. This evaluation method aligns with the evidence-based research design. The developed i-Ntervene prototype was tested on a Java programming course with 253 first-year university students during the Covid-19 pandemic in VLE. The result was satisfactory, as the instructors were able to perform and evaluate 12 interventions throughout a semester. For this experimental course, the platform revealed that the approach of sending extrinsic motivation emails had more impact in promoting learning behavior compared to other types of messages. It also showed that providing tutorial sessions was not an effective approach to improving students’ subject understanding in complex algorithmic topics. i-Ntervene allows instructors to flexibly trial potential interventions to discover the optimal approach for their course settings which should boost student’s learning outcomes in long term. | |
| 653 | |a Learning analytics | ||
| 653 | |a At risk students | ||
| 653 | |a Learning management systems | ||
| 653 | |a Computer assisted instruction--CAI | ||
| 653 | |a Instructional design | ||
| 653 | |a Intervention | ||
| 653 | |a Colleges & universities | ||
| 653 | |a Virtual environments | ||
| 653 | |a Students | ||
| 653 | |a Teachers | ||
| 653 | |a Computer programming | ||
| 653 | |a Educational Environment | ||
| 653 | |a Learner Engagement | ||
| 653 | |a Learning Activities | ||
| 653 | |a Incentives | ||
| 653 | |a Teaching Methods | ||
| 653 | |a Management Systems | ||
| 653 | |a Research Design | ||
| 653 | |a College Students | ||
| 653 | |a Student Participation | ||
| 653 | |a Programming | ||
| 700 | 1 | |a Anutariya, Chutiporn |u Asian Institute of Technology, ICT Department, School of Engineering and Technology, Pathum Thani, Thailand (GRID:grid.418142.a) (ISNI:0000 0000 8861 2220) | |
| 700 | 1 | |a Pongnumkul, Suporn |u National Electronics and Computer Technology Center, Pathum Thani, Thailand (GRID:grid.466939.7) (ISNI:0000 0001 0341 7563) | |
| 773 | 0 | |t Smart Learning Environments |g vol. 10, no. 1 (Dec 2023), p. 37 | |
| 786 | 0 | |d ProQuest |t Education Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2890353916/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/2890353916/fulltextPDF/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |