Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy

no code implementations • 23 Sep 2023 • Lin Ni, Sijie Wang, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Paul Denny, Jiamou Liu

Learnersourcing offers great potential for scalable education through student content creation.

Contrastive Learning Language Modelling +1

DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions

no code implementations • 19 Nov 2021 • Lin Ni, Qiming Bao, Xiaoxuan Li, Qianqian Qi, Paul Denny, Jim Warren, Michael Witbrock, Jiamou Liu

We propose DeepQR, a novel neural-network model for AQQR that is trained using multiple-choice-question (MCQ) datasets collected from PeerWise, a widely-used learnersourcing platform.

Contrastive Learning Multiple-choice