TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students

Authors

Yokyung Lee (ORCID: https://orcid.org/0009-0000-8732-9316)
Jeongeon Park (ORCID: https://orcid.org/0000-0002-8353-0431)
Hyoungwook Jin (ORCID: https://orcid.org/0000-0003-0253-560X)
Xu Wang (ORCID: https://orcid.org/0000-0001-5551-0815)
Juho Kim (ORCID: https://orcid.org/0000-0001-6348-4127)
Minju Yoo

Institutions

Ewha Womans University (KR)
Korea Advanced Institute of Science and Technology (KR)
University of Michigan (US)
University of California San Diego (US)

Publication Details

Published: 2025-04-24
DOI: https://doi.org/10.1145/3706598.3714054
Citations: 7
Primary Topic: Intelligent Tutoring Systems and Adaptive Learning
Type: article
Field-Weighted Citation Impact: 17.37

Funders

National Science Foundation

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article

TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students

Yokyung Lee, Jeongeon Park, Hyoungwook Jin, Xu Wang et al.

Apr 24, 2025

7 citations

Intelligent Tutoring Systems and Adaptive Learning

17.37

article

TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students

Yokyung Lee, Jeongeon Park, Hyoungwook Jin, Xu Wang, Juho Kim, Minju Yoo

April 24, 2025article en

7 citations

Abstract

No abstract available for this paper.

Ewha Womans University (KR), Korea Advanced Institute of Science and Technology (KR), University of Michigan (US), University of California San Diego (US)

National Science Foundation

Quality Education

Openalex Percentile: Top 1%

Intelligent Tutoring Systems and Adaptive Learning

17.37

DOI Source OpenAlex

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