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Mathattack: Attacking large language models towards math solving ability
With the boom of Large Language Models (LLMs), the research of solving Math Word
Problem (MWP) has recently made great progress. However, there are few studies to …
Problem (MWP) has recently made great progress. However, there are few studies to …
Bridging the novice-expert gap via models of decision-making: A case study on remediating math mistakes
Scaling high-quality tutoring remains a major challenge in education. Due to growing
demand, many platforms employ novice tutors who, unlike experienced educators, struggle …
demand, many platforms employ novice tutors who, unlike experienced educators, struggle …
More than model documentation: uncovering teachers' bespoke information needs for informed classroom integration of ChatGPT
M Tan, H Subramonyam - Proceedings of the 2024 CHI Conference on …, 2024 - dl.acm.org
ChatGPT has entered classrooms, circumventing typical training and vetting procedures.
Unlike other educational technologies, it placed teachers in direct contact with the versatility …
Unlike other educational technologies, it placed teachers in direct contact with the versatility …
Pedagogical alignment of large language models (llm) for personalized learning: a survey, trends and challenges
MA Razafinirina, WG Dimbisoa, T Mahatody - Journal of Intelligent …, 2024 - scirp.org
This survey paper investigates how personalized learning offered by Large Language
Models (LLMs) could transform educational experiences. We explore Knowledge Editing …
Models (LLMs) could transform educational experiences. We explore Knowledge Editing …
Supporting self-reflection at scale with large language models: Insights from randomized field experiments in classrooms
Self-reflection on learning experiences constitutes a fundamental cognitive process,
essential for consolidating knowledge and enhancing learning efficacy. However, traditional …
essential for consolidating knowledge and enhancing learning efficacy. However, traditional …
Disclosures & Disclaimers: Investigating the Impact of Transparency Disclosures and Reliability Disclaimers on Learner-LLM Interactions
Abstract Large Language Models (LLMs) are increasingly being used in educational
settings to assist students with assignments and learning new concepts. For LLMs to be …
settings to assist students with assignments and learning new concepts. For LLMs to be …
Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring
To address educational inequities, high-quality SAT tutoring is crucial for students who need
support. Many tutors, however, are novices and require coaching to be effective. To examine …
support. Many tutors, however, are novices and require coaching to be effective. To examine …
Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog
One of the areas where Large Language Models (LLMs) show promise is for automated
qualitative coding, typically framed as a text classification task in natural language …
qualitative coding, typically framed as a text classification task in natural language …
Revolutionizing teaching economics online with AI: leveraging LLMs for enhanced communication, creativity, and efficiency in education
SD Halliday, JE Tierney - Teaching Economics Online, 2024 - elgaronline.com
In the ever-evolving landscape of technology, Artificial Intelligence (AI) has emerged as a
force for increasing firm productivity (Czarnitzki et al. 2023), exposing jobs to automation …
force for increasing firm productivity (Czarnitzki et al. 2023), exposing jobs to automation …