Yin‐Chan Liao
Biographic Data
| ID | 5435558 |
|---|---|
| NAME | Yin‐Chan Liao |
| GIVEN NAMES | Yin‐Chan |
| FAMILY NAME | Liao |
| SIGNATURE | LIAO Y C |
| AFFILIATIONS | Georgia State University |
| ORCID | 0000-0001-8854-7809 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Expanding the capacity for equitable computer science education
As computer science (CS) becomes increasingly important in K–12 education, there are limited qualified CS teachers ready to meet the demand, along with limited CS educator preparation programs (EPPs). This study analyzes data from universities participating in the PrepareCS Project, a Google-funded, cross-institutional initiative dedicated to supporting universities in the development of their own CS EPPs. Findings from the first two years of thi…
Integrating Artificial Intelligence (AI) Literacy into Physical Education Teacher Education
Generative artificial intelligence (GenAI) is rapidly transforming education, making AI literacy a critical competence for teachers across disciplines. Physical education teacher education (PETE) programs must respond to this shift by preparing future teachers to critically engage with AI. Using the Organization for Economic Cooperation and Development [OECD] (2025) AI literacy framework, this viewpoint paper discusses the conceptual foundations …
Elementary computer science education legislation
Research indicates that early exposure to elementary computer science (CS) is foundational for developing computational thinking and acts as a critical equity strategy to mitigate stereotypes in CS. Despite these benefits, the U.S. state policy landscape remains varied and frequently secondary-focused. This study presents a systematic legislative scan and qualitative content analysis of 61 CS education items (2013–2024) across 30 Expanding Comput…
Students’ AI relational identity
As Generative Artificial Intelligence (GenAI) becomes ubiquitous in educational settings, concerns increase about how it may affect learners’ identities in relation to the learning process. This study investigated how students’ identities relate to their use of GenAI while learning within an AI-ready pilot high school. Drawing on focus groups with 39 students, we used grounded theory to develop the AI Relational Identity (AIRI) framework. AIRI is…
Transformative Computing Education
Despite recent expansions in K-12 computer science (CS) education, entrenched equity gaps persist, and elementary students are notably underserved. Early experiences shape identities and interests, yet best practices for elementary CS remain understudied. Over four years, this study explored elementary teacher perceptions of both the learning experiences offered in CS education and the reported impact of those experiences on teacher perceptions o…
Exploring critical AI literacy in language education
The emergence of generative AI (genAI) tools has called into question traditional roles of language education professors. However, existing research has yet to comprehensively examine the opportunities and challenges these tools present in language education, particularly from the perspectives of language educators and learners. This article presents a case study, conducted in a university Intermediate Spanish class with 11 students in spring 202…
Unexpected outcomes from an AI education course among education faculty
The authors explore the intersection of AI and equity in education, presenting a workshop designed for marginalized youth in urban Mexico. This reflective essay stems from their participation in the International Society for Technology in Education’s AI and education course. The lead author, a language education researcher who emphasizes equity in her scholarship, crafted a presentation on AI’s everyday applications for marginalized Mexican youth…
Exploring computer science understanding and rationales in preservice teacher pathways through faculty professional development
With the increasing demand for K-12 computer science education (CSed), and the importance of preparing highly qualified preservice teachers who have basic CS knowledge, teacher education faculty play an essential role in CSed capacity building. However, little is known about the best ways for supporting teacher education faculty with the integration of CSed in preservice teacher coursework. To address this challenge, and explore faculty’s CS unde…
Exploring Teacher and Student Stereotypes in a Gender-Inclusive Secondary Computer Science Program
How Can We Support Online Learning for Elementary Students? Perceptions and Experiences of Award-Winning K-6 Teachers
K-12 online learning can be advantageous in a variety of circumstances, including inclement weather days and emergency remote teaching. With the lessons learned from the COVID-19 pandemic, many K-12 districts may consider ways to incorporate online learning into their regular school plans after they resume face-to-face instruction. However, the most challenges to online learning seemed to take place at the elementary level. This brings up an impo…
Coaching to support teacher technology integration in elementary classrooms
Exploring critical AI literacy in language education
The emergence of generative AI (genAI) tools has called into question traditional roles of language education professors. However, existing research has yet to comprehensively examine the opportunities and challenges these tools present in language education, particularly from the perspectives of language educators and learners. This article presents a case study, conducted in a university Intermediate Spanish class with 11 students in spring 202…
How Can We Support Online Learning for Elementary Students? Perceptions and Experiences of Award-Winning K-6 Teachers
K-12 online learning can be advantageous in a variety of circumstances, including inclement weather days and emergency remote teaching. With the lessons learned from the COVID-19 pandemic, many K-12 districts may consider ways to incorporate online learning into their regular school plans after they resume face-to-face instruction. However, the most challenges to online learning seemed to take place at the elementary level. This brings up an impo…
Coaching to support teacher technology integration in elementary classrooms
How Can We Support Online Learning for Elementary Students? Perceptions and Experiences of Award-Winning K-6 Teachers
K-12 online learning can be advantageous in a variety of circumstances, including inclement weather days and emergency remote teaching. With the lessons learned from the COVID-19 pandemic, many K-12 districts may consider ways to incorporate online learning into their regular school plans after they resume face-to-face instruction. However, the most challenges to online learning seemed to take place at the elementary level. This brings up an impo…
Coaching to support teacher technology integration in elementary classrooms
Unexpected outcomes from an AI education course among education faculty
The authors explore the intersection of AI and equity in education, presenting a workshop designed for marginalized youth in urban Mexico. This reflective essay stems from their participation in the International Society for Technology in Education’s AI and education course. The lead author, a language education researcher who emphasizes equity in her scholarship, crafted a presentation on AI’s everyday applications for marginalized Mexican youth…
Exploring computer science understanding and rationales in preservice teacher pathways through faculty professional development
With the increasing demand for K-12 computer science education (CSed), and the importance of preparing highly qualified preservice teachers who have basic CS knowledge, teacher education faculty play an essential role in CSed capacity building. However, little is known about the best ways for supporting teacher education faculty with the integration of CSed in preservice teacher coursework. To address this challenge, and explore faculty’s CS unde…
Exploring Teacher and Student Stereotypes in a Gender-Inclusive Secondary Computer Science Program
Exploring critical AI literacy in language education
The emergence of generative AI (genAI) tools has called into question traditional roles of language education professors. However, existing research has yet to comprehensively examine the opportunities and challenges these tools present in language education, particularly from the perspectives of language educators and learners. This article presents a case study, conducted in a university Intermediate Spanish class with 11 students in spring 202…
Expanding the capacity for equitable computer science education
As computer science (CS) becomes increasingly important in K–12 education, there are limited qualified CS teachers ready to meet the demand, along with limited CS educator preparation programs (EPPs). This study analyzes data from universities participating in the PrepareCS Project, a Google-funded, cross-institutional initiative dedicated to supporting universities in the development of their own CS EPPs. Findings from the first two years of thi…
Integrating Artificial Intelligence (AI) Literacy into Physical Education Teacher Education
Generative artificial intelligence (GenAI) is rapidly transforming education, making AI literacy a critical competence for teachers across disciplines. Physical education teacher education (PETE) programs must respond to this shift by preparing future teachers to critically engage with AI. Using the Organization for Economic Cooperation and Development [OECD] (2025) AI literacy framework, this viewpoint paper discusses the conceptual foundations …
Elementary computer science education legislation
Research indicates that early exposure to elementary computer science (CS) is foundational for developing computational thinking and acts as a critical equity strategy to mitigate stereotypes in CS. Despite these benefits, the U.S. state policy landscape remains varied and frequently secondary-focused. This study presents a systematic legislative scan and qualitative content analysis of 61 CS education items (2013–2024) across 30 Expanding Comput…
Students’ AI relational identity
As Generative Artificial Intelligence (GenAI) becomes ubiquitous in educational settings, concerns increase about how it may affect learners’ identities in relation to the learning process. This study investigated how students’ identities relate to their use of GenAI while learning within an AI-ready pilot high school. Drawing on focus groups with 39 students, we used grounded theory to develop the AI Relational Identity (AIRI) framework. AIRI is…
Transformative Computing Education
Despite recent expansions in K-12 computer science (CS) education, entrenched equity gaps persist, and elementary students are notably underserved. Early experiences shape identities and interests, yet best practices for elementary CS remain understudied. Over four years, this study explored elementary teacher perceptions of both the learning experiences offered in CS education and the reported impact of those experiences on teacher perceptions o…
Teaching and Learning Programming (7 works) · Gender and Technology in Education (5 works) · Mathematics education (5 works) · Pedagogy (5 works) · Psychology (5 works) · Computer Science (4 works) · Educational technology (4 works) · Medical education (3 works) · Medicine (3 works) · Perception (3 works)