Artificial Intelligence (AI) integration in education is completely reinventing old pedagogical methods, which in turn, results in the roles of the teacher and the student being redefined, as well as the remaking of the learning experience (Luckin, 2021; Selwyn, 2020). The study being referred to is one that examines human-AI collaboration in education, which studies how AI-generated tools add value to the student learning process, as well as help in the tasks administration, and of the support of data-driven decision-making while still keeping humans as crucial to education. For this purpose, mixed-methods design, which includes quantitative surveys implemented with students at universities and teachers in combination with qualitative interviews conducted with EdTech professionals to gather information about attitudes, benefits, and challenges of AI introduction in classrooms, was applied. The research focused only on higher education institutions utilizing AI-driven learning tools. The stratified random sampling technique helped with the representation of the institutions from various regions. The validated questionnaire aided in probing into the respondents' opinions on AI-assisted education, on the other hand, thematic analysis for revealing the latest educational technological trends related to teacher-AI collaboration. The implications are empirical insights into the evolving teacher-learner dynamic in AI-assisted education and thereby provide suggestions for better curricula. This study is part of the issues and solutions related to the harmonization of the technological upswing with human-centered learning because it makes sure that AI will be just an assistant and not the end of the educational process.
Hussain et al. (2025) studied this question.