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All Journal Acta Pedagogia Asiana
Sheffield, Rachel
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Education Other

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AI am Motivated: Leveraging Self-Determination Theory in Chatbots Sims, Craig; Moursounidis, Jack; Sheffield, Rachel; Thompson, Nik; Singh, Abhijeet; Bunn, Anna; Sha, Li
Acta Pedagogia Asiana Volume 5 - Issue 1 - 2026
Publisher : Tecno Scientifica Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/apga.v5i1.950

Abstract

Artificial intelligence (AI)-powered chatbots promised to streamline administrative tasks and offer just-in-time support within higher education institutions. However, many existing chatbots prioritised simple information delivery over the cultivation of deeper student engagement and intrinsic motivation. This paper argued that Self-Determination Theory (SDT), a prominent framework for understanding motivation, offered a robust model for designing chatbots that went beyond passive answering to become active facilitators of student agency. SDT emphasised three core psychological needs: autonomy, competence, and relatedness. This paper explored how the intentional integration of these needs into chatbot design could transform administrative support interactions into opportunities to empower students as self-directed learners.
University Lecturers’ and Students’ Perceptions and Use of Genai Technologies Zheng, Chen; Leo, Kee Chye; Sheffield, Rachel; Fairhurst, Nicole
Acta Pedagogia Asiana Volume 5 - Issue 1 - 2026
Publisher : Tecno Scientifica Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/apga.v5i1.955

Abstract

ChatGPT, Bard, and other generative artificial intelligence (GenAI) technologies, also known as conversational AI or chatbots, were trained to be informative and comprehensive. This definition described the capacity of GenAI to answer, create, and complete tasks, such as writing essay responses using user-generated prompts. Universities were often unsure of how to incorporate this technology into the teaching and learning process in a consistent and ethical manner. There was debate about the positive and negative aspects of GenAI within universities, such as prompt feedback and resource development, versus breaches of academic integrity. The inconsistencies in messaging and debates led both academics and students to feel anxious, confused, and concerned. This project explored the expertise, confidence, and subsequent experiences of university students and academics with the use of GenAI technologies in their teaching, learning, and assessment. It employed a mixed-methods approach, combining a quantitative survey with qualitative interviews conducted across international campuses of a large public university, with a sample of 132 students and 38 staff. GenAI had the potential to enhance productivity and efficiency in education; however, further support and clarification were needed to foster the development of critical skills for evaluating information output and the ethical use of these technologies.
Co-Authors Bunn, Anna Fairhurst, Nicole Leo, Kee Chye Moursounidis, Jack Sha, Li Sims, Craig Singh, Abhijeet Thompson, Nik Zheng, Chen