Results 61 to 70 of about 1,201,092 (207)

Intelligent tutoring systems for word problem solving in COVID-19 days: could they have been (part of) the solution? [PDF]

ZDM, 2023
Del Olmo-Muñoz J, González-Calero JA, Diago PD, Arnau D, Arevalillo-Herráez M.   +4 more
europepmc   +1 more source

ALLEGRO: Teaching/Learning Multi-Agent Environment using Instructional Planning and Cases- Based Reasoning (CBR)

CLEI Electronic Journal, 2007
This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (CSCL), Multi-Agent Systems (MAS) and the artificial intelligence techniques ...
Rosa M. Viccari, Demetrio A. Ovalle, Jovani A. Jimenez   +2 more
doaj   +1 more source

Intelligent Tutoring Systems: Re-Envisioning Surgical Education in Response to COVID-19. [PDF]

Can J Neurol Sci, 2021
Mirchi N, Ledwos N, Del Maestro RF.
europepmc   +1 more source

Intelligent Tutors Beyond K-12: An Observational Study of Adult Learner Engagement and Academic Impact [PDF]

arXiv
Intelligent tutors have proven to be effective in K-12 education, though their impact on adult learners -- especially as a supplementary resource -- remains underexplored. Understanding how adults voluntarily engage with educational technologies can inform the design of tools that support skill re-learning and enhancement.
arxiv  

Towards Educator-Driven Tutor Authoring: Generative AI Approaches for Creating Intelligent Tutor Interfaces [PDF]

Intelligent Tutoring Systems (ITSs) have shown great potential in delivering personalized and adaptive education, but their widespread adoption has been hindered by the need for specialized programming and design skills. Existing approaches overcome the programming limitations with no-code authoring through drag and drop, however they assume that ...
arxiv   +1 more source

Intelligent tutoring systems for teaching algebra: the handling of student misconceptions [PDF]

, 1990
Kimberly D. Bozeman
openalex   +1 more source

Efficacy of a Computer Tutor that Models Expert Human Tutors [PDF]

arXiv
Tutoring is highly effective for promoting learning. However, the contribution of expertise to tutoring effectiveness is unclear and continues to be debated. We conducted a 9-week learning efficacy study of an intelligent tutoring system (ITS) for biology modeled on expert human tutors with two control conditions: human tutors who were experts in the ...
arxiv  

Interactive, Intelligent Tutoring for Auxiliary Constructions in Geometry Proofs [PDF]

arXiv, 2017
Geometry theorem proving forms a major and challenging component in the K-12 mathematics curriculum. A particular difficult task is to add auxiliary constructions (i.e, additional lines or points) to aid proof discovery. Although there exist many intelligent tutoring systems proposed for geometry proofs, few teach students how to find auxiliary ...
arxiv  

Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors [PDF]

arXiv
Intelligent tutoring systems (ITS) are effective for improving students' learning outcomes. However, their development is often complex, time-consuming, and requires specialized programming and tutor design knowledge, thus hindering their widespread application and personalization.
arxiv  

Beyond Final Answers: Evaluating Large Language Models for Math Tutoring [PDF]

arXiv
Researchers have made notable progress in applying Large Language Models (LLMs) to solve math problems, as demonstrated through efforts like GSM8k, ProofNet, AlphaGeometry, and MathOdyssey. This progress has sparked interest in their potential use for tutoring students in mathematics.
arxiv