Learning
AI-assisted learning aims to empower students to become active learners who construct knowledge. Through personalised learning resources and real-time feedback, students can explore knowledge at their own pace, cultivating critical thinking and self-directed learning skills. The learning process emphasises student-led thinking and the effective use of AI as a collaborative tool to avoid “outsourcing thinking,” while fostering correct values and information literacy.
Teaching
AI-assisted teaching aims to enhance teachers’ instructional efficiency and professional judgment. By making good use of AI to analyse learning data, teachers can design personalised learning pathways and free up more space for deep interaction with students. Instructional design emphasises “people-oriented education with technology as a supplement”; teachers must critically review AI-generated content to ensure that instructional decisions align with educational goals and student well-being.
Assessment
AI-assisted assessment aims to promote diverse learning assessment models. Assessments are no longer limited to summative tests and exams; instead, they place greater emphasis on data analysis and real-time feedback during the process, helping teachers understand students’ learning difficulties and adjust their teaching strategies in a timely manner. Assessment also places a strong value on students’ self-reflection and self-directed learning abilities, empowering them to become masters of their own learning.
