Digital support for student engagement in blended learning based on self-determination theory
By Thomas K. F. Chiu. Computers in Human Behavior, 2021
352 citations recorded by the source corpus.
Student engagement in a blended learning environment is very different from that in a traditional classroom environment, and is fostered by satisfying three innate needs identified in self-determination theory (SDT): autonomy, relatedness, and competence. Related studies have emphasized teacher support to satisfy the three students’ need, but not digital support. The founders of SDT recently stated that SDT-based research should focus on problems associated with learning technologies. Accordingly, this study proposed digital support designs to fulfill the three abovementioned needs, examined their effectiveness, and investigated how the developed forms of digital support and teacher support contributed to student engagement. The study adopted a sequential explanatory mixed methods research design and involved 426 Grade 11 students. The findings were as follows. (i) Compared with teacher support, digital support better engaged students in blended learning by satisfying their needs. (ii) Teacher support was closely related to student engagement. (iii) The relationship between digital support and student engagement varied. Possible explanations are the benefits of offering multiple modalities, considering learning expertise, and applying emotional designs. The findings contribute to SDT by adding a new perspective, namely digital support, and thereby proposing a new framework for needs support in blended
Subfields: Developmental and Educational Psychology, Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/9eba60b4bfac45f2d0ff846f3dca2d80f059699c
Citations in the corpus
- The impact of Generative AI (GenAI) on practices, policies and research direction in education: a case of ChatGPT and Midjourney (2023, neutral): “These could support the student ’ s need for autonomy (Chiu, 2021, 2022); that is, using the two GenAI applications in teaching and learning generally satis fi es this need.”
- Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot (2023, neutral): “In this condition, students are not able to complete tasks by learning with AI technologies independently, and expect some external support for their innate needs, such as teacher or digital support (Chiu, 2021a, 2021b, 2022).”