Teacher-Student-AI Collaborative Classroom: The Platform and Practice of AI Empowered University Mathematics Education

Abstract

Enpowering education with artificial intelligence (AI) has established new pathways for high-quality development in education, bringing new opportunities while fostering innovative educational concepts, models, and methodologies. This study introduces an integrated experimental platform, namely, the teacher-student-AI collaborative classroom, for implementing these educational innovations. Grounded in macro disciplinary, grand-scenario, and big-idea-based education, this classroom is designed to organize instruction for each knowledge unit with a three-phase method: introductory sessions, seminar sessions, and summary sessions. Introductory sessions and summary sessions are teacher-guided, while seminar sessions emphasize the self-directed inquiry based learning of students with AI assistance. During introductory sessions, teachers adopt a problem-analyzing approach to establish learning tasks and contexts. Seminar sessions enable students to engage in collaborative discussions and self-directed learning centered on problem analysis, facilitated by AI Large Language Models (AI-LLMs). Summary sessions, in addition to showcasing the outcomes of student representatives, entail teachers synthesizing knowledge through a problem-solving approach, highlighting the significance of knowledge units and future development. The teacher-student-AI collaborative classroom synergizes the strengths of teachers and AI technology, fostering active student participation, personalized learning, and social-emotional competence development. It serves as a practical platform for innovative, problem-centered education. Applied to the Probability Theory and Mathematical Statistics course in universities, this platform marks improvements in student motivation, initiative, and comprehensive competencies, validating its feasibility and broad applicability.

Keywords

artificial intelligence (AI) / university mathematics courses / teacher-student-AI collaborative classroom

RIGHTS & PERMISSIONS

Higher Education Press