activity
20152026
most citedLearning gain differences between ChatGPT and human tutor generated algebra hints

72 citations · 248 across the 24 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CY2024★ 3 cited

Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis

Yunting Liu, Shreya Bhandari, Zachary A. Pardos

Effective educational measurement relies heavily on the curation of well-designed item pools (i.e., possessing the right psychometric properties). However, item calibration is time…

cs.LG2024★ 1 cited

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.…

cs.AI2024

Auditing an Automatic Grading Model with deep Reinforcement Learning

Aubrey Condor, Zachary Pardos

We explore the use of deep reinforcement learning to audit an automatic short answer grading (ASAG) model. Automatic grading may decrease the time burden of rating open-ended items…

cs.CY2024★ 5 cited

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning

Frederik Baucks, Robin Schmucker, Conrad Borchers +2

Curriculum Analytics (CA) studies curriculum structure and student data to ensure the quality of educational programs. One desirable property of courses within curricula is that th…

cs.LG2024

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…

cs.LG2024★ 5 cited

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…

cs.HC2024★ 2 cited

Human-AI Collaboration Increases Skill Tagging Speed but Degrades Accuracy

Cheng Ren, Zachary Pardos, Zhi Li

AI approaches are progressing besting humans at game-related tasks (e.g. chess). The next stage is expected to be Human-AI collaboration; however, the research on this subject has…