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Do Flipped Learning and Adaptive Instruction Improve Student Learning Outcome? A Case Study of a Computer Programming
Hong-Ren Chen1, Wen-Chiao Hsu2
1Department of Digital Content and Technology, National Taichung University of Education, Taichung, Taiwan.
Frontiers in Psychology
|January 31, 2022
Summary
Combining adaptive teaching with flipped learning significantly boosted student motivation and learning effectiveness in a computer programming course. This blended approach enhances traditional flipped classrooms by tailoring content to individual student needs.
Area of Science:
- Educational Technology
- Computer Science Education
Background:
- Flipped learning offers potential benefits but often lacks personalization.
- Adaptive teaching customizes learning experiences to individual student needs.
- Limitations of standard flipped classrooms necessitate innovative pedagogical approaches.
Purpose of the Study:
- To investigate the impact of integrating adaptive teaching with flipped learning in a computer programming course.
- To determine if this combined approach enhances student learning effectiveness and motivation.
- To evaluate the efficacy of adaptive flipped learning in a higher education setting.
Main Methods:
- Implementation of a combined adaptive and flipped learning model in a face-to-face computer programming course.
- Utilizing questionnaires to measure pre- and post-test changes in student learning motivation.
- Assessing learning effectiveness through prior C language course performance and current semester scores.
Main Results:
- Significant improvement observed in post-test learning motivation compared to pre-test scores.
- Demonstrated positive impact on overall student learning effectiveness in computer programming.
- The adaptive flipped learning model proved effective within limited course time.
Conclusions:
- The integration of adaptive teaching strategies into flipped classrooms enhances student learning motivation and effectiveness.
- This combined pedagogical approach is effective for computer programming education.
- Findings support the application of modern teaching theories and provide a basis for future instructional design.
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