most citedResults and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

5 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2021

CoRGi: Content-Rich Graph Neural Networks with Attention

Jooyeon Kim, Angus Lamb, Simon Woodhead +3

Graph representations of a target domain often project it to a set of entities (nodes) and their relations (edges). However, such projections often miss important and rich informat…

cs.LG20212 cited

Contextual HyperNetworks for Novel Feature Adaptation

Angus Lamb, Evgeny Saveliev, Yingzhen Li +7

While deep learning has obtained state-of-the-art results in many applications, the adaptation of neural network architectures to incorporate new output features remains a challeng…

cs.CY20215 cited

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev +9

This competition concerns educational diagnostic questions, which are pedagogically effective, multiple-choice questions (MCQs) whose distractors embody misconceptions. With a larg…

cs.CY2020

Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev +9

Digital technologies are becoming increasingly prevalent in education, enabling personalized, high quality education resources to be accessible by students across the world. Import…

cs.CY2020

Educational Question Mining At Scale: Prediction, Analysis and Personalization

Zichao Wang, Sebastian Tschiatschek, Simon Woodhead +4

Online education platforms enable teachers to share a large number of educational resources such as questions to form exercises and quizzes for students. With large volumes of avai…