Generative AI Adoption and Perspectives in Computational Thinking Platforms for Pre-Service Teachers: A Literature Review Hanifah Lutfia Farah (a*), Cucuk Wawan Budiyanto (b)
a) Faculty of Teacher Training and Education, Sebelas Maret University
Jalan Ir. Sutami 36, Surakarta 57126, Indonesia
*hanifahlutfiafarah[at]student.uns.ac.id
b) Faculty of Teacher Training and Education, Sebelas Maret University
Jalan Ir. Sutami 36, Surakarta 57126, Indonesia
Abstract
The adoption of Generative AI (GenAI) is increasingly prevalent in the education sector to assist and facilitate learning, particularly as a partner for teachers and pre-service teachers in developing Computational Thinking (CT)-based learning designs. This study aims to explore the various adoptions of GenAI across different CT development platforms, along with pre-service teachers^ perceptions and experiences regarding the use of these platforms, through a systematic literature review. The study employs a Systematic Literature Review (SLR) using the PRISMA method. Articles indexed in Scopus and ScienceDirect from 2022 to 2025 were utilized in this research. A total of 371 articles were identified in the database using keywords aligned with the research question, i.e. computational thinking platforms, GenAI, and pre-service teacher. Eventually, seven articles were nominated based on inclusion and exclusion criteria. The results of this study indicate that there are various forms and approaches in adopting GenAI in learning, such as developing chatbots to assist learning, creating interactive simulations, and adopting it in collaborative learning activities. Pre-service teachers also demonstrated various positive responses and experiences in using GenAI, although there may still be concerns they have about its utilization. Various challenges and technical issues were also identified in the implementation of GenAI in learning. This study did not find any research that explicitly discusses the impact of GenAI adoption on CT skills, so the development of a contextual GenAI-based CT platform and empirical research on the impact of platform use on pre-service teachers^ self-efficacy are recommended for future researchers.
