posted on 2025-04-09, 02:19authored byJosiah Koh, Michael Cowling, Meena JhaMeena Jha, Kwong Nui Sim
The AI-Teacher Teaching Tasks Spectrum (AITTTS) was conceived as a way to understand the relationship between human teachers and the ever-evolving AI technologies in education. This study demonstrates how the AITTTS framework can be operationalised into a tangible intervention, showcasing the design models and practical applications of the AITTTS in real-world educational settings. By categorising teaching tasks into a spectrum, the AITTTS delineates the roles that AI and human teachers can play, providing a structured and nuanced understanding of their collaboration. As a result of the practical application of the AITTTS, a design model was birthed in this study. It highlights various aspects of holistic student outcomes such as positive electronic nonverbal communication (eNVC) cues, adaptive learning paths, and interactive learning responses as elements by which AI should be designed. By providing a structured approach for educators to incorporate AI tools and interventions in their learning environments, this research lays the groundwork for further exploration of the synergistic relationship between AI and human teachers in modern education. This framework can serve as a guide for educators to develop and implement AI-enhanced teaching strategies, fostering a more dynamic and responsive educational landscape.
History
Editor
Cochrane T; Narayan V; Bone E; Deneen C; Saligari M; Tregloan K; Vanderburg R
Start Page
277
End Page
286
Number of Pages
9
Start Date
2024-12-01
Finish Date
2024-12-04
eISSN
2653-665X
Location
Melbourne, Australia
Publisher
Australasian Society for Computers in Learning in Tertiary Education