Huang, R., Yin, Y., Zhou, N., & Lang, F. (2026). Artificial intelligence in K-12 education: An umbrella review. Computers and Education: Artificial Intelligence, 100519. https://doi.org/10.1016/j.caeai.2025.100519

Huang, R. (2024, December). The role of Skyline curriculum implementation in moderating the relationship between ECS course-taking and high school students’ science performance in Chicago Public Schools [Report]. The Learning Partnership. https://doi.org/10.51420/Report.2024.9

Song, Y., & Huang, R. (2020). The influence mechanism of teachers’ career well-being in compulsory education in developing areas [In Chinese]. Journal of Modern Education, (2), 26–35. https://xdjylc.scnu.edu.cn/article/id/6b86b731-416d-4f53-8098-241cadd33623

Huang, R. (2018). An investigative study on factors influencing the cultivation of innovative abilities in the learning, practice, and research stages of humanities students: A case study of South China Normal University [In Chinese]. The Educator. South China Normal University, Guangzhou, China. 

Huang, R., & Yin, Y. (2025, October). Making generative artificial intelligence helpful in classroom assessment. OSF Preprint. https://doi.org/10.35542/osf.io/ewgh7_v1

Andersen, A., Huang, R., & Liu, E. (2025). The application of artificial intelligence in healthcare practice: An umbrella review. medRxiv Preprint. https://doi.org/10.1101/2025.10.05.25337356. Manuscript under review at Artificial Intelligence in Medicine.

Huang, R., & Yin, Y. (2025, July). Methodology for systematic reviews in education. OSF Preprint. https://doi.org/10.31219/osf.io/az5xm_v1.

Yang, Y., Huang, R., Zhai, X., & Yin, Y. (under review). Systematic review of processing data in K-12 education. Manuscript under review at Educational Research Review.

2025

Huang, R., & Yin, Y. (2025, November). Generative AI for classroom assessment: How to make it helpful, not harmful [Paper presentation]. Purdue AI in P-12 Education Conference, West Lafayette, Indiana, United States.

Huang, R., Ng, D. T. K., & Yin, Y. (2025, October). Assessing science teachers’ generative AI literacy: A multi-method instrument development and validation [Paper presentation]. Artificial Intelligence in Measurement & Education Conference (AIME-Con), Pittsburgh, Pennsylvania, United States.

Huang, R., Yin, Y., Zhou, N., & Lang, F. (2025, July). Artificial intelligence in K-12 education: An umbrella review [Invited talk]. Paper presented at the 26th International Conference on Artificial Intelligence in Education (AIED 2025), Palermo, Italy.

Andersen, A., Huang, R., & Liu, E. (2025, June). Implementation of artificial intelligence tools in healthcare practice: An umbrella review [Poster presentation]. Association of University Programs in Health Administration (AUPHA) Annual Meeting, Columbus, Ohio, United States.

Huang, R., Yin, Y., Zhou, N., Lang, F., Chen, Y., Riel, J., & Zaidi, S. (2025, June). Artificial intelligence in K–12 education: An umbrella review [Poster presentation]. 2025 NSF Discovery Research Prek-12 PI Meeting, Arlington, VA, United States.

Huang, R., Zhou, N., Yin, Y., Lang, F., Chen, Y., Riel, J., & Zaidi, S. (2025, April). Artificial intelligence in K–12 education: An umbrella review [Poster presentation]. 2025 Annual Meeting of the American Educational Research Association (AERA), Denver, CO, United States. http://dx.doi.org/10.3102/IP.25.2192254

Huang, R., Yin, Y., Zhou, N., Lang, F., Chen, Y., & Riel, J. (2025, April). Artificial intelligence applications in K–12 teaching and learning: An umbrella review [Poster presentation]. 2025 Annual Meeting of the American Educational Research Association (AERA), Denver, CO, United States. http://dx.doi.org/10.3102/IP.25.2192314

Dai, T., Huang, R., Cromley, J. G., Kaplan, A., Perez, T., Mara, K. R., & Balsai, M. J. (2025, April). Exploring differential effects of a semester-long online intervention with latent profiles of learning engagement [Poster presentation]. 2025 Annual Meeting of the American Educational Research Association (AERA), Denver, CO, United States. http://dx.doi.org/10.3102/IP.25.2191696

Andersen, A., & Huang, R. (2025, March). Applications of artificial intelligence tools in healthcare practice: An umbrella review of systematic reviews [Poster presentation]. 16th Annual College of Education Graduate Student Conference, University of Illinois Urbana-Champaign, Urbana, IL, United States.

Huang, R., & Yin, Y. (2025, March). Methodology for systematic reviews in education [Paper presentation]. 16th Annual College of Education Graduate Student Conference, University of Illinois Urbana-Champaign, Urbana, IL, United States. 

2024

Dai, T., Huang, R., Edwards, O. V., Filatova, V., & Slager, A. (2024, August). Differential relations of college motives, utility value, and engagement by gender and generation status [Poster presentation]. 2024 American Psychological Association Convention, Seattle, WA, United States.

Chen, Y., Huang, R., Yin, Y., & Zhai, X. (2024, April). Artificial intelligence for formative assessment: A systematic review [Poster presentation]. 2024 Annual Meeting of the American Educational Research Association, Philadelphia, PA, United States. https://doi.org/10.3102/IP.24.2112968

2023

Huang, R., Yin, Y., Zaidi, S., Chen, Y., & Strasser, M. (2023, April). Addressing challenges in formative assessment practices by artificial intelligence: A systematic review [Poster presentation]. 2023 Annual Meeting of the American Educational Research Association, Chicago, IL, United States. https://doi.org/10.3102/IP.23.2014059

Scalable Personalized Learning with LLM-Linked Custom Knowledge Graphs (SkillTree project), Research Assistant, 11/2025-Present

Advisor: Assistant Professor Jeremy Riel, Department of Educational Psychology, UIC, USA 

• This study develops a scalable AI-based system that uses large language models (LLM) to visualize high school students’ computer science knowledge, skills, and interests in real time. 

• Assisted in conducting professional development for pre-service teachers in Chicago.

• Learned the fundamentals and real-world applications of knowledge graphs in natural language processing (NLP).

• Worked on assessment and evaluation design, and early-stage prototype development.

• Prepared the OSF pre-registration with PIs.

• Worked with development team members to co-design system features and user interface prototypes using Figma and GitHub.

• Developed two full-stack React admin components, a Bulk User Importer and Bulk User Remover, using Node.js (a runtime environment that allows JavaScript to run on the server side), featuring CSV parsing, validation, multi-select filtering, and soft/hard delete functionality.

• Helped implement structured Qualtrics workflows with PIs for student sign-up questionnaires, assent and parent consent forms, and teacher Delphi surveys.

• Conducted needs analysis to inform protocol development by collaboratively evaluating 42 AI educational tools using co-developed coding criteria.

The Potential of an Automatically Scored Three-dimensional Assessment System (PASTA project), Research Assistant, 10/2021-Present

Advisor: Professor Yue Yin, Department of Educational Psychology, UIC, USA 

• Led UIC IRB applications and modifications and got approvals.

• Designed different instruments with team members, including 1) Think Aloud Protocol; 2) Questionnaire; 3) Teacher Scenario Prompt; 4) Interview Protocol; 5) Observational Protocol; 6) Scenario-based performance tasks.

• Led conference proposals and delivered presentations.

• Led two journal manuscripts.

• Led research team, including arrange meetings, sent the weekly email, and assigned the tasks to team members.

• Completed coding training and independently coded approximately 300 student feedback data entries to support machine learning (ML) training datasets.

• Collaborated with team members to design the feasibility study, test the platform, and provide feedback for the PASTA platform improvement.

• Conducted interviews and administered questionnaires with K-12 science teachers in Chicago.

• Set up the PASTA project website on the OSF platform and preprinted two papers.

• Created fliers, wrote research proposals, and recruited teachers from Indiana and Illinois.

• Designed and gave teachers professional development on the topic of "Making Generative Artificial Intelligence Helpful in Classroom Assessment" in Indiana and Illinois. 

• Designed survey instruments focusing on teachers’ cognitive understanding and behavioral practices to measure K-12 computer science teachers' AI  literacy in Chicago Public Schools.

• Co-wrote grant proposals “Supplemental Grant Application: Summary of Proposed Work Measuring and Improving Teachers’ Generative AI Literacy for Classroom Assessment”.

Understanding of Student Engagement in Online Learning Supports, Research Assistant, 08/2021-05/2022

Advisor: Associate Professor Ting Dai, Department of Educational Psychology, UIC, USA

• Studied a variety of behavioral, cognitive, and affective indicators of student engagement in a specific learning task—watching and learning from instructional videos about strategies for biology learning.

• Investigated the profiles of 386 college students’ engagement (behavioral, cognitive, and affective engagement) in the online learning tasks, and whether students of different engagement profiles differed in course grade. 

• Encoded about 4500 students’ feedback, participated in weekly meetings to report on coding and literature reading, and wrote the literature reviews.

• Conducted latent class analysis (LCA) to describe different engagement profiles by using Mplus and SPSS.

• Co-wrote manuscripts.

The Influence of Organizational Culture on Business Performance

Research Assistant, 05/2023-07/2023

Advisor: Dr. Ashish Bhardwaj, Senior Vice President & Global Head of Market Development at the Graduate Management Admission Council, USA

• Analyze data related to sensing, sense-making, and experimentation and their impact on business performance. 

• Conducted reliability testing, hypothesis testing, and multiple regression analyses.

• Wrote reports of data analyses. 

Influential Factors of Teachers’ Well-being, Project Leader, 07/2018-07/2019

Advisor: Associate Professor Yu Song, School of Education Science, SCNU, China

• Investigated the influence of career development opportunities, welfare benefits, health, teaching abilities, social relationships, and working pressure on teachers’ well-being in developing areas in China.

• Conducted a literature review on 168 papers and wrote a research proposal.

• Interviewed 6 teachers to explore potential influential factors of teacher well-being, designed a 53-item questionnaire, and collected data from 848 teachers in a county of eastern Guangdong.

• Independently used SPSS and self-learning AMOS to construct the structural equation model.

• Wrote a manuscript for journal submission and won a Top Prize in Challenge Cup Guangdong Academic Competition 

School-Family-Community Collaboration in Primary Schools, Research Assistant, 12/2017-05/2019

Advisor: Assistant Professor Leiqiong Pan, School of Education Science, SCNU, China

• Investigated how families, schools, and communities collaborate to promote students’ development in primary schools.

• Searched and summarized the collaborative activities among families, schools, and communities in 37 primary schools.

• Translated and adapted two questionnaires, “School-Family-Community Collaboration Model Questionnaire” and “School Counselor Involvement in School-Family-Community Collaboration Adjusted Scale”, to develop questionnaires for parents  (23 items) and teachers (46 items) respectively.

• Collected data from 148 teachers using questionnaires and analyzed the data using SPSS.

• Conducted a focus group interview with four family members.

• Wrote a manuscript and won the funding support from the college of education.