Using Machine Learning Algorithms for Analysing the Factors That Affect Pupil Engagement and Learning Outcomes in CSE

Author:

Albakri Sultanah Abdullah A1

Affiliation:

1. School of Computing Science, University of Glasgow, United Kingdom

Publisher

ACM

Reference4 articles.

1. Jennifer  A Fredricks , Phyllis  C Blumenfeld , and Alison  H Paris . 2004. School engagement: Potential of the concept, state of the evidence. Review of educational research 74, 1 ( 2004 ), 59–109. Jennifer A Fredricks, Phyllis C Blumenfeld, and Alison H Paris. 2004. School engagement: Potential of the concept, state of the evidence. Review of educational research 74, 1 (2004), 59–109.

2. Introductory programming: a systematic literature review

3. Michael Morgan , Matthew Butler , Jane Sinclair , Christabel Gonsalvez , and Neena Thota . 2018 . Contrasting CS student and academic perspectives and experiences of student engagement . In Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. 1–35 . Michael Morgan, Matthew Butler, Jane Sinclair, Christabel Gonsalvez, and Neena Thota. 2018. Contrasting CS student and academic perspectives and experiences of student engagement. In Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. 1–35.

4. Abbas Tashakkori and John W Creswell. 2007. The new era of mixed methods. 3–7 pages. Abbas Tashakkori and John W Creswell. 2007. The new era of mixed methods. 3–7 pages.

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1. The Roles of Confidence and Perceived Usefulness in Female Student Engagement in High School Computing Science;Proceedings of the 18th WiPSCE Conference on Primary and Secondary Computing Education Research;2023-09-27

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