Preservice Teachers’ Perceptions of AI and Robotics-Based Practices in Contemporary STEM Teaching: A Scoping Review

The application of artificial intelligence (AI) resources and robotics tools in education is considered vital for interdisciplinary fields to enhance the quality of the teaching and learning process. It also helps transform assessment techniques and revolutionize the whole pedagogical setting of science teacher education, in particular, AI and robotics integration in the teaching of Science, Technology, Engineering and Mathematics (STEM) subjects’ courses at the primary level. In this study, a scoping review was conducted involving seventeen peer-reviewed research papers published from 2021 to 2025. Efforts are being made to find the current perceptions and practices of preservice teachers (PSTs) at the primary level (Years 1–6; ages 6–12 in the Australian context) regarding the use of AI and robotics resources, for example, generative artificial intelligence (GenAI), foundational robotics and AI-driven robotics in teaching STEM subjects. Findings indicate that there was a significant gap in primary PSTs’ perspectives regarding their pedagogical practices to integrate STEM. As such, this influences future teachers’ knowledge, understanding, AI acceptance, and attitude toward the integration of smart AI and robotics resources in STEM classrooms. Policymakers and teachers’ education providers should align advanced technological AI resources and robotics applications with STEM curriculum guidelines and preservice teachers’ professional training programs within primary school education.

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Publication Details

Journal
Education Sciences
Published
2026-06-25
DOI
https://doi.org/10.3390/educsci16071008
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

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article

Preservice Teachers’ Perceptions of AI and Robotics-Based Practices in Contemporary STEM Teaching: A Scoping Review

Andrea Ng, Sarika Kewalramani, Bushra Ameer
Education Sciences
Teaching and Learning Programming
article

Preservice Teachers’ Perceptions of AI and Robotics-Based Practices in Contemporary STEM Teaching: A Scoping Review

Andrea Ng, Sarika Kewalramani, Bushra Ameer
article en

Abstract

The application of artificial intelligence (AI) resources and robotics tools in education is considered vital for interdisciplinary fields to enhance the quality of the teaching and learning process. It also helps transform assessment techniques and revolutionize the whole pedagogical setting of science teacher education, in particular, AI and robotics integration in the teaching of Science, Technology, Engineering and Mathematics (STEM) subjects’ courses at the primary level. In this study, a scoping review was conducted involving seventeen peer-reviewed research papers published from 2021 to 2025. Efforts are being made to find the current perceptions and practices of preservice teachers (PSTs) at the primary level (Years 1–6; ages 6–12 in the Australian context) regarding the use of AI and robotics resources, for example, generative artificial intelligence (GenAI), foundational robotics and AI-driven robotics in teaching STEM subjects. Findings indicate that there was a significant gap in primary PSTs’ perspectives regarding their pedagogical practices to integrate STEM. As such, this influences future teachers’ knowledge, understanding, AI acceptance, and attitude toward the integration of smart AI and robotics resources in STEM classrooms. Policymakers and teachers’ education providers should align advanced technological AI resources and robotics applications with STEM curriculum guidelines and preservice teachers’ professional training programs within primary school education.

Education SciencesVol. 16(7)
Swinburne University of Technology (AU)
Swinburne University of Technology
Quality Education
Openalex Percentile: Top 4%
Teaching and Learning Programming
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