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Feiya Luo

Biographic Data

ID9611638
NAMEFeiya Luo
GIVEN NAMESFeiya
FAMILY NAMELuo
SIGNATURELUO F
AFFILIATIONSUniversity of Alabama
ORCID0000-0002-3037-085X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Promoting elementary students’ computer science conceptual knowledge and coding performance

    Feiya Luo, Jihane Amayou et al.•ARTICLE•Journal of Research on Technology…•2026

    This mixed-methods study reported how teaching core CS concepts through coordinated unplugged and plugged activities improved elementary students’ coding performances. Through collaborative design with elementary teachers, we developed 14 activities focusing on data, conditional logic, and variables and implemented them with 13 fourth- and fifth-grade students in Spring 2025. Using a convergent mixed methods approach, we analyzed students’ pre-, …

  • Artificial intelligence for engaging neurodiverse learners in K-12 education

    Mohammad Mohi Uddin, Feiya Luo et al.•ARTICLE•Interactive Learning Environments•2026

    While artificial intelligence (AI) has been widely explored in educational research, limited studies have specifically examined its intentional use to support K-12 neurodiverse learners. Existing literature often conflates clinical diagnosis, assistive technology, and instructional design, obscuring AI’s distinct pedagogical contributions. This qualitative systematic review addresses this gap by exploring how AI tools are used to engage and suppo…

  • How Do Elementary Students Apply Debugging Strategies in a Block-Based Programming Environment

    Open Access•Wei Yan, Feiya Luo et al.•ARTICLE•Education Sciences•2025

    Debugging is a growing topic in K-12 computer science (CS) education research. Although some previous studies have examined debugging behaviors, only a few have focused on an in-depth analysis of elementary students’ debugging behaviors in block-based programming environments. This qualitative study explored the debugging behaviors of four students, including their strategies and challenges. The study employed thematic video analysis of students’…

  • Broadening Participation in Computing Through Cultivating Teacher Professional Growth

    Open Access•Feiya Luo, Fatema Nasrin et al.•ARTICLE•Education Sciences•2025

    With the need to ensure equitable and inclusive computer science (CS) education for K-12 students, much effort has been devoted to promoting secondary CS teachers’ practices and pedagogies. However, there is a lack of focus on elementary teachers’ experiences, especially those of teachers of color. This study stands at the intersections of Black/African American teachers teaching at an elementary school with a majority of historically underrepres…

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

    Feiya Luo, Ruohan Liu et al.•ARTICLE•Journal of Research on Technology…•2025

    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. T…

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

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

No prominent works on this page.

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

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

  • How Do Elementary Students Apply Debugging Strategies in a Block-Based Programming Environment

    Open Access•Wei Yan, Feiya Luo et al.•ARTICLE•Education Sciences•2025

    Debugging is a growing topic in K-12 computer science (CS) education research. Although some previous studies have examined debugging behaviors, only a few have focused on an in-depth analysis of elementary students’ debugging behaviors in block-based programming environments. This qualitative study explored the debugging behaviors of four students, including their strategies and challenges. The study employed thematic video analysis of students’…

  • Broadening Participation in Computing Through Cultivating Teacher Professional Growth

    Open Access•Feiya Luo, Fatema Nasrin et al.•ARTICLE•Education Sciences•2025

    With the need to ensure equitable and inclusive computer science (CS) education for K-12 students, much effort has been devoted to promoting secondary CS teachers’ practices and pedagogies. However, there is a lack of focus on elementary teachers’ experiences, especially those of teachers of color. This study stands at the intersections of Black/African American teachers teaching at an elementary school with a majority of historically underrepres…

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

    Feiya Luo, Ruohan Liu et al.•ARTICLE•Journal of Research on Technology…•2025

    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. T…

  • Promoting elementary students’ computer science conceptual knowledge and coding performance

    Feiya Luo, Jihane Amayou et al.•ARTICLE•Journal of Research on Technology…•2026

    This mixed-methods study reported how teaching core CS concepts through coordinated unplugged and plugged activities improved elementary students’ coding performances. Through collaborative design with elementary teachers, we developed 14 activities focusing on data, conditional logic, and variables and implemented them with 13 fourth- and fifth-grade students in Spring 2025. Using a convergent mixed methods approach, we analyzed students’ pre-, …

  • Artificial intelligence for engaging neurodiverse learners in K-12 education

    Mohammad Mohi Uddin, Feiya Luo et al.•ARTICLE•Interactive Learning Environments•2026

    While artificial intelligence (AI) has been widely explored in educational research, limited studies have specifically examined its intentional use to support K-12 neurodiverse learners. Existing literature often conflates clinical diagnosis, assistive technology, and instructional design, obscuring AI’s distinct pedagogical contributions. This qualitative systematic review addresses this gap by exploring how AI tools are used to engage and suppo…

Teaching and Learning Programming (5 works) · Computer Science (4 works) · Mathematics education (4 works) · Psychology (4 works) · Computer-Assisted Instruction (2 works) · Educational Games and Gamification (2 works) · Electronic learning (2 works) · Gender and Technology in Education (2 works) · Multimedia (2 works) · Pedagogy (2 works)

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