Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Engaging students of color in physiological computing with insights from eye-tracking

Dados Bibliográficos

ID21743906
AutoresFeiya Luo (0000-0002-3037-085X, University of Alabama, autor correspondente), Ruohan Liu (0000-0001-7668-6756, University of Virginia), Fatema Nasrin (0000-0001-9204-9968, University of Alabama), Idowu David Awoyemi (0009-0001-3112-7712, University of Alabama), Chris Crawford (0000-0003-3127-308X, University of Alabama), Wenchao Ma (0000-0002-6763-0707, University of Alabama)
Ano2025
Volume57
Fascículo6
Páginas1205-1229
Data de publicação2025-11-02
Open AccessNão
TipoARTICLE
PeriódicoJournal of Research on Technology in Education (JOURNAL)
Identificadores do periódicoISSN: 1539-1523 • E-ISSN: 1945-0818
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15391523.2024.2381226
OpenAlexW4400877905
IdiomaEN
Referências citadas57

Computing involving physiological data such as heart rate and electrodermal activity has been used as a way to enrich K-12 students’ computing learning experiences. This study explored a novel way to engage elementary students of color as “developers” through a series of physiological computing lessons during a summer learning program. Learners used real-time physiological data (i.e. muscle energy) as computer inputs to build computer programs. The study used an explanatory mixed method by combining multi-dimensional eye-tracking metrics data with qualitative investigation to reveal the visual attention of students with different programming proficiency levels. The regression analysis revealed three statistically significant predictors of students’ programming performances. Subsequent qualitative case studies provided additional insights into students’ problem-solving processes. Interpretations and caveats are presented and discussed

Computer vision · Eye tracking · Human–computer interaction · Mathematics education · Multimedia · Pedagogy · Computer Science · Gaze Tracking and Assistive Technology · Online Learning and Analytics · Psychology · Teaching and Learning Programming

  • A review of using eye-tracking technology in exploring learning from 2000 to 2012

    Meng-Lung Lai, Meng‐Jung Tsai et al.•Educational Research Review•2013

  • A systematic review of eye tracking research on multimedia learning

    Open Access•Ecenaz Alemdag, Kursat Cagiltay•Computers & Education•2018

  • Regression Shrinkage and Selection Via the Lasso

    Open Access•Robert Tibshirani•Journal of the Royal Statistical…•1996

  • Using eye-tracking in education

    Open Access•Fan Ke, Ruohan Liu et al.•Educational Technology Research…•2024

  • Computational thinking education

    Open Access•Charoula Angeli, Michail N Giannakos•Computers in Human Behavior•2020

  • Assessing computational thinking

    Open Access•Xiaodan Tang, Yue Yin et al.•Computers & Education•2020

  • Exploring the evolution of two girls’ conceptions and practices in computational thinking in science

    Open Access•Feiya Luo, Pavlo Antonenko et al.•Computers & Education•2020

  • The impact of the Covid-19 pandemic on child and adolescent development around the world

    Open Access•Nirmala Rao, Philip A Fisher et al.•Child Development•2021

  • Using thematic analysis in psychology

    Open Access•Braun, Virginia Braun et al.•Qualitative Research in Psychology•2006

  • Designing and Conducting Mixed Methods Research

    John W Creswell, Vicki L Plano Clark•Designing and Conducting Mixed…•2017

Altamente citadoNão

Ferramentas

Abrir DOI
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae