The adoption of AI in education has been met with both enthusiasm and skepticism.
Key concerns include students' over-reliance on AI for completing assignments and educators' challenges in distinguishing between student work and AI-generated output Lan and Chen (2024).
AI technologies such as Learning Analytics (LA), automated grading, and virtual reality (VR) help educators reduce administrative burdens, allowing them to focus more on teaching and mentoring students.
Beyond assisting with repetitive tasks, here’s an opportunity to develop intelligent assistants to serve as AI teaching assistants, thus freeing educators for more meaningful interactions with their students.