Enhancing Experiential Learning through AI-Driven Feedback
Experiential Learning emphasizes learning through active engagement, feedback, and reflection, allowing students to deepen their understanding by iterating on real work and authentic tasks. GAAS, Lingnan University’s Generative AI Assessment System, strongly supports this model by providing students with timely, personalized, and detailed feedback on their assignments, helping them identify strengths, weaknesses, and areas for improvement, which directly fuels reflective learning cycles. Through features such as automated content analysis, rubric‑based evaluation, and individualized recommendations, GAAS enables students to reflect on feedback and refine their work, making the assessment process itself a meaningful learning experience. By integrating AI‑enhanced feedback with opportunities for continuous improvement, GAAS enriches experiential learning by turning assessment into an active, iterative, and student‑centered learning journey.
Create AI-Powered Feedback Loops
Key in or upload the Course Background / Description Information, Learning Objectives & Outcomes.
Click "Save".
Key in assignment name, type of assignment.
Upload assignment questions, assignment rubric before clicking "Upload".
Upload assignment before clicking "Prompt".
Click "Export Word", "Copy", "Email" or "Print" for the final step.