Proceedings of the 8th International Conference on Teaching, Learning and Education
Year: 2024
DOI:
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Design of a ChatBot for Reminiscence Art
Ivy Chia & June Tay
ABSTRACT:
There is an increasing use of reminiscence art for elderly care. In the design of a chatbot that leverages on artificial intelligence to facilitate and enhance learning on reminiscence art, it involves the application of educational theories including Constructivist Learning Theory, Vygotsky’s Zone of Proximal Development, and Bloom’s Taxonomy. Constructivist Learning Theory promotes active learning and learners are encouraged to reflect on personal experiences and chatbot can use reflection prompts to trigger learners to deepen their understanding and allows for reinforcement of learning. Vygotsky’s Zone of Proximal Development (ZPD) emphasized the importance of scaffolding with learning and the chatbot can provide tasks that are within the learner’s current skills level. With six hierarchical levels, Bloom’s Taxonomy can be used to test differing levels of thinking skills. Chatbot can structure learning through different cognitive skills, starting from basic knowledge and to deeper understanding and application of concepts. By applying these theories, the chatbot will enhance the learning experience and foster the development reminiscence art skills. This paper proposes a framework where we assess if Constructivist Learning Theory, ZPD, and Bloom Taxonomy can be applied adequately to the chatbot.
keywords: bloom’s taxonomy; chatbot; constructivism, education theories; reminisce art