Year: 2024
Type: conference-paper
Abstract: Artificial Intelligence (AI) represents a significant recent development in the education sector, with the potential to transform the traditional role of teachers. Despite controversies regarding its use in content creation—such as writing, art, and music composition—AI offers substantial benefits to the teaching and learning process.. Among the benefits of AI in education is its ability to stimulate conversation, thereby increasing learners' interest and engagement. It can also be used for pedagogical planning and analysing students' data. AI helps make the learning experience more personalized, engaging, and effective, providing learning opportunities that suit students' individual styles and paces. This is because AI uses algorithms to analyse and identify data patterns. By doing so, AI can predict outcomes that assist educators in shaping students' learning experiences. However, AI could present both technical and ethical challenges for teachers interested in incorporating it into their teaching practices. This paper aims to lay the foundation for research that examines the factors influencing the readiness to adopt AI among music teachers in Kedah. This will be done by reviewing relevant literature and proposing suitable methods for measuring teachers' readiness. This conceptual paper is intended to enable the researcher to develop a comprehensive literature review, formulate appropriate hypotheses, and identify suitable methods to measure AI readiness among music teachers in Kedah.
Author: Muhamad Hafifi Mokhtar
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4414219475
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