72 citations · 248 across the 24 of their papers we have counts for
5 papers · 1 filter
Representational Alignment Supports Effective Machine Teaching
Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya +11
A good teacher should not only be knowledgeable, but should also be able to communicate in a way that the student understands -- to share the student's representation of the world.…
Explainable Automatic Grading with Neural Additive Models
Aubrey Condor, Zachary Pardos
The use of automatic short answer grading (ASAG) models may help alleviate the time burden of grading while encouraging educators to frequently incorporate open-ended items in thei…
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Yan Zhuang, Qi Liu, Haoyang Bi +12
Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based on individual perfo…
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling
Clarence Chen, Zachary Pardos
This paper presents several strategies that can improve neural network-based predictive methods for MOOC student course trajectory modeling, applying multiple ideas previously appl…
The Utility of Clustering in Prediction Tasks
Shubhendu Trivedi, Zachary A. Pardos, Neil T. Heffernan
We explore the utility of clustering in reducing error in various prediction tasks. Previous work has hinted at the improvement in prediction accuracy attributed to clustering algo…