10 papers · 1 filter
AITutor-EvalKit: Exploring the Capabilities of AI Tutors
Numaan Naeem, Kaushal Kumar Maurya, Kseniia Petukhova +1
We present AITutor-EvalKit, an application that uses language technology to evaluate the pedagogical quality of AI tutors, provides software for demonstration and evaluation, as we…
Opportunities and Challenges of LLMs in Education: An NLP Perspective
Sowmya Vajjala, Bashar Alhafni, Stefano Bannò +3
Interest in the role of large language models (LLMs) in education is increasing, considering the new opportunities they offer for teaching, learning, and assessment. In this paper,…
Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems
Kaushal Kumar Maurya, Ekaterina Kochmar
The interdisciplinary research domain of Artificial Intelligence in Education (AIED) has a long history of developing Intelligent Tutoring Systems (ITSs) by integrating insights fr…
LLMs cannot spot math errors, even when allowed to peek into the solution
KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
Large language models (LLMs) demonstrate remarkable performance on math word problems, yet they have been shown to struggle with meta-reasoning tasks such as identifying errors in…
Can LLMs Reliably Simulate Real Students' Abilities in Mathematics and Reading Comprehension?
KV Aditya Srivatsa, Kaushal Kumar Maurya, Ekaterina Kochmar
Large Language Models (LLMs) are increasingly used as proxy students in the development of Intelligent Tutoring Systems (ITSs) and in piloting test questions. However, to what exte…
SelectLLM: Query-Aware Efficient Selection Algorithm for Large Language Models
Kaushal Kumar Maurya, KV Aditya Srivatsa, Ekaterina Kochmar
Large language models (LLMs) have been widely adopted due to their remarkable performance across various applications, driving the accelerated development of a large number of dive…