Human-AI Collaboration in Mathematics Learning: A Systematic Review of Generative AI Integration and Its Implications for Mathematical Thinking
Year: 2026
Type: review
Study design: Systematic Review
Abstract: The rapid advancement of Generative Artificial Intelligence (Generative AI) has transformed mathematics education from the use of technology as a supporting tool toward cognitive collaboration between humans and artificial intelligence. This study aims to identify research trends, forms of Human–AI Collaboration, and their implications for the development of mathematical thinking. The study employed a Systematic Literature Review (SLR) approach following the PRISMA guidelines, with data collected from Google Scholar, Scopus, Scispace, and the Directory of Open Access Journals (DOAJ). The findings indicate that research has evolved from digital technology integration to AI literacy, the TPACK-SAMR framework, adaptive learning, and the implementation of Generative AI and Human–AI Collaboration to enhance mathematical thinking. The review further reveals that Generative AI has the potential to improve mathematical reasoning, representation, and problem-solving through more personalized and collaborative learning. However, its implementation continues to face challenges related to AI literacy, teachers’ pedagogical readiness, implementation gaps, and the risk of cognitive offloading. Therefore, developing pedagogical models based on Human–AI Collaboration is essential to foster the sustainable development of students’ mathematical thinking.
Source: Seminar Nasional Paedagoria
Institution: University of Muhammadiyah Mataram
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7216673561