ChatCLD Framework: Supporting Teachers in Contextualizing Learning Designs using ChatGPT

• Published in: Proceedings (IEEE International Conference on Advanced Learning Technologies) pp. 185 - 187
• Main Authors: Ishika, Ishika, Murthy, Sahana
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2024
• Subjects: artificial intelligence; Buildings; Chatbots; ChatCLD framework; ChatGPT; contextualization; learning design; prompt engineering; Training
• ISSN: 2161-377X
• DOI: 10.1109/ICALT61570.2024.00060

With varying classroom contexts, the need to cater the demands of evolving education landscape have put teachers in challenged positions, even with existing support systems specifically for creating context-specific learning designs. Building on the previous work that identified a lack of easily usable frameworks for teachers, this paper introduces the ChatCLD framework designed to evaluate and support the creation of learning designs in alignment with classroom context and technology availability. We present details of training sessions for teachers to utilize this framework along with the use of ChatGPT. The research investigates how the ChatCLD framework contributes to the contextualization of learning design and provides insights into the learning design process of school teachers. Through a study analyzing teachers' pre- and post-learning designs and their perceptions, our findings indicate that the framework serves as a practical and user-friendly tool, effectively addressing teachers' goals of creating learning designs tailored to their technology availability and classroom context.