Science and Mathematics Teachers' Perceptions of the Use of Artificial Intelligence (AI) in Teaching: A Systematic Literature Review (SLR)
List of Authors
Hafiz Zaini, Zuraidah Zolkapli
Keyword
Artificial Intelligence, Teacher Perception, Science and Mathematics Teaching, Education System, Systematic Literature Review
Abstract
This study aims to explore the perceptions of Science and Mathematics teachers towards the use of Artificial Intelligence (AI) in the teaching and learning process. A Systematic Literature Review (SLR) approach was used to analyse and synthesise findings from 15 articles published between 2022 and 2025. These articles were systematically selected using the PRISMA protocol which included searches in three major databases namely Scopus, Google Scholar and ERIC. The inclusion criteria set ensured the relevance of the context, scope and validity of the sources relevant to the focus of the study. The results of the thematic analysis of the selected articles produced four main themes: (i) teachers' positive acceptance and openness towards AI, (ii) challenges related to technological skills, ethics and implementation, (iii) the impact of AI on teaching strategies and classroom interactions and (iv) the level of teacher readiness and the need for continuous professional development. The findings show that although teachers show a progressive attitude towards AI, concerns about data security, pedagogical suitability and lack of training are major barriers to effective implementation. The study also identifies research gaps in the local context and the need for holistic and contextual solutions. The implications of this study are important in helping stakeholders such as policymakers, researchers and educational institutions to develop policies, training and technologies that are aligned with the real needs of teachers in the digital education era. This study contributes to the current literature on AI in education and suggests future research directions.