How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?
arXiv:2603.00056v2 Announce Type: replace Abstract: STEM Mental models can play a critical role in assessing students' conceptual understanding of a topic. They not only offer insights into what students know but also into how effectively they can apply, relate to, and integrate concepts across various contexts. Thus, students' responses are critical markers of the quality of their understanding and not entities that should be merely graded. However, inferring these mental models from student an
Record details
Published: 13 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Children & education
Retrieved: 13 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
arXiv cs.CY · 13 August 2026
A Conceptual Framework for Enhancing Workforce Readiness for Smart Manufacturing in the AI Era
arXiv cs.CY · 13 August 2026
Towards Sustainable Learning in Online Education: A Reinforcement Learning Approach
arXiv cs.CY · 13 August 2026
Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior
arXiv cs.CY · 13 August 2026
The Accuracy Trap: Structural Scarcity Amplifies Relative Inequality in Algorithmic Allocation
arXiv cs.CY · 13 August 2026
Methodologies for Improving the Quality of AI Tutoring in K-12 Education
arXiv cs.CY · 13 August 2026
How to cite this record
ethics.ai (13 August 2026), “How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?,” evidence record 18735, https://ethics.ai/record/18735 (originally published by arXiv cs.CY).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.