Combining Large Language Models with Tutoring System Intelligence: A Case Study in Caregiver Homework Support [PDF]
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning analytics is
arxiv +1 more source
Enhancing simulation education with intelligent tutoring systems [PDF]
, 1996 Simon J. E. Taylor, Julika Siemer
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Aligning Tutor Discourse Supporting Rigorous Thinking with Tutee Content Mastery for Predicting Math Achievement [PDF]
arXivThis work investigates how tutoring discourse interacts with students' proximal knowledge to explain and predict students' learning outcomes. Our work is conducted in the context of high-dosage human tutoring where 9th-grade students (N= 1080) attended small group tutorials and individually practiced problems on an Intelligent Tutoring System (ITS). We
arxiv
Pensieve Discuss: Scalable Small-Group CS Tutoring System with AI [PDF]
arXivSmall-group tutoring in Computer Science (CS) is effective, but presents the challenge of providing a dedicated tutor for each group and encouraging collaboration among group members at scale. We present Pensieve Discuss, a software platform that integrates synchronous editing for scaffolded programming problems with online human and AI tutors ...
arxiv
AI-Tutoring in Software Engineering Education [PDF]
With the rapid advancement of artificial intelligence (AI) in various domains, the education sector is set for transformation. The potential of AI-driven tools in enhancing the learning experience, especially in programming, is immense. However, the scientific evaluation of Large Language Models (LLMs) used in Automated Programming Assessment Systems ...
arxiv +1 more source
PQtutor, a quasi-intelligent tutoring system for quantitative problems in General Chemistry
Chemistry Teacher International, 2019 The best tutors give a student the appropriate amount of guidance necessary for learning while helping the student stay confident, motivated and focused.
Theis Karsten W.
doaj +1 more source
Integrating AI Tutors in a Programming Course [PDF]
arXivRAGMan is an LLM-powered tutoring system that can support a variety of course-specific and homework-specific AI tutors. RAGMan leverages Retrieval Augmented Generation (RAG), as well as strict instructions, to ensure the alignment of the AI tutors' responses.
arxiv
Intelligent Tutoring Systems: Confluence of Information Science and Cognitive Science [PDF]
, 2001 Ashok Patel +3 more
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Automatic Synthesis of Geometry Problems for an Intelligent Tutoring System [PDF]
arXiv, 2015 This paper presents an intelligent tutoring system, GeoTutor, for Euclidean Geometry that is automatically able to synthesize proof problems and their respective solutions given a geometric figure together with a set of properties true of it. GeoTutor can provide personalized practice problems that address student deficiencies in the subject matter.
arxiv
LLM-Powered AI Tutors with Personas for d/Deaf and Hard-of-Hearing Online Learners [PDF]
arXivIntelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities; however, they often fail to meet the specific communication needs and cultural nuances needed by d/Deaf and Hard-of-Hearing (DHH) learners.
arxiv