Articles Published in Refereed Journals
1. Zhu, W., Guo, R., Zhu, G., Li, C., & Song, Y. (2025). GAI4DE: Harnessing the design process to integrate GAI into design studies. International Journal of Human-Computer Interaction. DOI: https://doi.org/10.1080/10447318.2025.2603662 (IF: 5.5).
2. Xing, W., Kim, T., Song, Y., Li, H., Li, C., & Kim, J. (2025). Unveiling interaction patterns between students and generative AI teachable agent: focusing on students’ agency and AI agents’ authority. British Journal of Educational Technology (IF: 7.2).
3. Song, Y., Li, C., Ma, Y., Lyu, B., Zhu, W., Li, H., & Xing, W. (2025). Exploring effective tutoring strategies in asynchronous online mathematical discussions: insights from ordered network analysis. Journal of Science Education and Technology. DOI: https://doi.org/10.1007/s10956-025-10233-0
4. Song, Y., Li, C., Xing, W., Lyu, B., & Zhu, W. (2025). Investigating perceived fairness of AI prediction system for math learning: A mixed-methods study with college students. The Internet and Higher Education, 101000. DOI: https://doi.org/10.1016/j.iheduc.2025.101000 (IF: 6.4).
5. Xing, W., Song, Y., Li, C., Liu, Z., Zhu, W., & Oh, H. (2025). Development of a generative AI-powered teachable agent for middle school mathematics learning: a design-based research study. British Journal of Educational Technology (BJET). DOI: https://doi.org/10.1111/bjet.13586 (IF: 7.2).
6. Song, Y., Kim, J., Xing, W., Liu, Z., Li, C., & Oh, H. (2025). Elementary school students’ and teachers’ perceptions toward creative mathematical writing with Generative AI. Journal of Research on Technology in Education, 1-23. DOI: https://doi.org/10.1080/15391523.2025.2455057 (IF: 4.5).
7. Song, Y., Kim, J., Liu, Z., Li, C., Xing, W. (2025). Students’ perceived roles, opportunities, and challenges of an AI-powered teachable agent in middle school math class. Journal of Research on Technology in Education. DOI: http://dx.doi.org/10.1080/15391523.2024.2447727 (IF: 4.5).
8. Lyu, B., Li, C., Li, H., Oh, H., Song, Y., Zhu, W., & Xing, W. (2025). The Role of Teachable Agents’ Personality Traits on Student-AI Interactions and Math Learning. Computers and Education. (IF: 12).
9. Kim, J, Detrick, R., Yu, S., Song, Y., Bol, L., Li, N. (2025). Socially shared regulation of learning and Generative AI: Opportunities to support socially shared regulation. Education and Information Technologies. DOI: https://doi.org/10.1007/s10639-024-13187-9 (IF: 4.8).
10. Li, C., Xing, W., Song, Y., & Lyu, B. (2025). RICE AlgebraBot: lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning. Computers and Education: Artificial Intelligence. DOI: https://doi.org/10.1016/j.caeai.2024.100338.
11. Song, Y., Xing, W., Li, C., Tian, X., Ma, Y. (2024). The relationship between math literacy and linguistic synchrony in online mathematical discussions. British Journal of Educational Technology. DOI: https://doi.org/10.1111/bjet.13444 (IF: 7.2).
12. Song, Y., Weisberg, L., Zhang, S., Tian, X., Boyer, K. E., Israel, M. (2024). A framework for inclusive AI learning design for diverse learners. Computers and Education: Artificial Intelligence, 100212. DOI: https://doi.org/10.1016/j.caeai.2024.100212.
13. Xing, W., Li, H., Kim, T., Zhu, W., & Song, Y. (2024). Investigating the behaviors of core and periphery students in an asynchronous online discussion community using network analysis and topic modeling. Education and Information Technologies, 1-28. DOI: https://doi.org/10.1007/s10639-024-13038-7 (IF: 4.8).
14. Rahimi, S., Almond, R., Ramíres-Salgado, A., Wusylko, C., Weisberg, L., Song, Y., Lu, J., Myers, T., Wang, B., Wang, X., Francois, M., Moses, J., & Wright, E. (2024). Competency model development: the backbone of Successful Stealth Assessments. Journal of Computer Assisted Learning. DOI: https://doi.org/10.1111/jcal.13025 (IF: 5.4)
15. Tian, X., Kumar, A., Solomon, C., Calder, K., Katuka, G. A., Song, Y., Celepkolu, M., Pezzullo, L., Barrett, J., Boyer, K. E., and Israel, M. (2023). AMBY: A development environment for youth to create conversational agents. International Journal of Child-Computer Interaction 38, 100618, 1-15. DOI: https://doi.org/10.1016/j.ijcci.2023.100618 (IF: 5.4).
16. Lim, C., Lee, J., Song, Y., Lee, U., Lee, H., & Lim, E. (2022). A study on the development and application of a data science education program for elementary school students (Korean). The Journal of Educational Information and Media, 28(2), 319-345. (KCI IF: 4.73)
17. Song, Y., Song, S., Kim, Y., & Lim, C. (2021). A developmental study of an instructional model and strategies for data-driven debate (DDD) to improve data literacy (Korean). Journal of Educational Technology, 37(4), 943-982. (KCI IF: 4.24)
18. Song, Y. & Lim, C. (2021). Development of an instructional model for design thinking-based AI service planning program for high school students (Korean). The Journal of Educational Information and Media, 27(2), 371-402.
19. Lim, C., Song, Y., Hong, S., & Park, C. (2020). A Study on the application and improvement of the rapid prototyping to instructional systems design (RPISD) model (Korean). Journal of Educational Technology, 36(3), 589-617.
20. Lim, C., Han, H., Hong, S., Song, Y., & Lee, D. (2020). Design principles for improving creative thinking competency in corporate education (Korean). The Journal of Educational Information and Media, 26(3), 477-510.
Papers Published in Refereed Conference Proceedings
1. Zhang-Kopf, Y., Li, C., Gulfidan, G., Li, H., Song, Y., Guo, R., Xing, W. (2026). When to stop? An experimental study on AI teachable agent stopping mechanisms and their learning affordances in mathematics. In Proceedings of AI4EDU@AAAI 2026. Springer.
2. Kim, J., Detrick, R., Song, Y., & Brown, E. (2025). Navigating AI in rural multigrade classrooms: Nigerian teachers’ perspectives through the lens of activity theory. In Proceedings of 2025 ICLS.
3. Tian, X., Zhang, S., Song, Y., McKlin, T., Boyer, K., & Israel, M. (2025). An attitude paradox? How a middle school conversational AI learning experience increased ability beliefs but lowered intention to persist. In Proceedings of 2025 ICLS.
4. Lyu, B., Li, C., Li, H., Oh, H., Song, Y., Zhu, W., Xing, W. (2025). Exploring the role of teachable AI agents’ personality traits in shaping student interaction and learning in mathematics education. In Proceedings of 2025 LAK, March 3-7, Dublin, Ireland.
5. Tadimalla, Y., Figard, R., Song, Y. (2024). WIP: Moving from accessibility to anti-ableism through the explication of disability in the AI ecosystem. In Proceedings of 2024 IEEE Frontiers in Education, Oct 13–16, Washington, D.C.
6. Liu, Z., Guo, R., Song, Y., Xing, W. (2024). WIP: understanding students’ in-video dropout behavior in large online math learning platform. In Proceedings of 2024 IEEE Frontiers in Education, Oct 13–16, Washington, D.C.
7. Oh, H., & Guo, R., & Xing, W., & Liu, Z., Song, Y., & Li, C. (2024, June). The Seamless Integration of Machine Learning Education into High School Mathematics Classrooms. 2024 ASEE Annual Conference & Exposition, Portland, Oregon. DOI: 10.18260/1-2—48137
8. Tian, X., Mannekote, A., Solomon, C. E., Song, Y., Wise, C. F., Mcklin, T., Barrett, J., Boyer, K. E., & Israel, M. (2024). Examining LLM prompting strategies for automatic evaluation of learner-created computational artifacts. In Proceedings of EDM 2024, 1–4. DOI: 10.5281/zenodo.12729922.
9. Lee, H. H., Celedón-Pattichis, S., LópezLeiva, C. A., Pattichis, M. S., & Song, Y. (2024). Emergent interests to well-developed Interests in STEM. Proceedings of ICLS 2024. DOI: https://doi.org/10.22318/icls2024.111198.
10. Song, Y., Li, C., Xing, W., Li, S., & Lee, H. H. (2024). A fair clustering approach to self-regulated learning behaviors in a virtual learning environment. In Proceedings of LAK 2024, March 18-22, Kyoto, Japan, p. 771-778. DOI: https://doi.org/10.1145/3636555.3636863.
11. Song, Y., Tian, X., Regatti, N., Katuka, G. A., Boyer, E. K., & Israel, M. (2024). Artificial intelligence unplugged: designing unplugged activities for a conversational AI summer camp. In Proceedings of SIGCSE 2024, March 15–18, Portland, USA, p. 1272-1278. DOI: https://doi.org/10.1145/3626252.3630783.
12. Song, Y., Xing, W., Barron A., Oh, H., Li, C., Minces, V. (2023). M-flow, a flow-based music creation platform improves underrepresented children’s attitudes toward computer programming. In Proceedings of IDC ’23, June 19–23, Chicago, IL, 6 pages. DOI: https://doi.org/10.1145/3585088.3589383 (BEST PAPER)
13. Song, Y., Tian, X., Barrett, J., Israel, M., & Boyer, E. K. (2023). Guide, safety net, project tester, and more: investigating the roles of facilitators in an AI summer camp. In Proceedings of ICLS 2023. DOI: https://doi.org/10.22318/icls2023.548176.
14. Song, Y., Xing, W., Tian, X., & Li, C. (2023). Are we on the same page? modeling linguistic synchrony and math literacy in mathematical discussions. In Proceedings of LAK 2023, March 13-17, Arlington, Texas. DOI: doi.acm.org/doi=3576050.3576082 (BEST PAPER)
15. Song, Y., Katuka, A. G, Barrett, J., Tian, X., Kumar, A., McKlin, T, Celepkolu, M., Israel, M., & Boyer, K. (2023). AI Made By Youth: A conversational AI curriculum for middle school summer camps. In Proceedings of AAAI 2023, February 7-14, Washington, DC, p. 15851-15859. DOI: https://doi.org/10.1609/aaai.v37i13.26882.
16. Katuka, A. G., Auguste, Y., Song, Y., Tian, X., Kumar, A., Celepkolu, M., Boyer, K., Barrett, J., Israel M., & McKlin, T. (2023). A Summer camp experience to engage middle school learners in AI through conversational app development. In Proceedings of SIGCSE 2023, March 15–18, Toronto, Canada, p. 813-819. DOI: https://doi.org/10.1145/3545945.3569864 (BEST PAPER)
Conference Presentations
1. Go, B., Karademir, N., Song, Y., & Lee, K. (2025). Who is using Artificial Intelligence for What? A Critical Review of AI in Education Research. ICER. Seoul, South Korea.
2. Song, Y., Weisberg, L., Zhang, S., & Israel, M. (2025). Designing Inclusive AI Learning Experience: A UDL-Guided Framework. AERA. Denver, Colorado.
3. Song, Y., Li, C., Ma, Y., Lyu, B., Zhu, W., Li, H., & Xing, W. (2025). What Tutoring Strategies Impact Student’ Success and Knowledge Representation in Online Mathematical Discussions? AERA. Denver, Colorado.
4. Tian, X., Song, Y., Mannekote, A., Israel, M., & Boyer, K. E. (2025). Automatic evaluation of conversational AI chatbots using large language models. AERA. Denver, Colorado. (BEST PAPER AWARD NOMINATION)
5. Tian, X., Song, Y., Earle-Randell, T., Zhang, S., Israel, M., & Boyer, K. E. (2025). “My bot can talk about science!”: Fostering AI learning in a middle school science classroom. AERA. Denver, Colorado. (BEST PAPER AWARD NOMINATION)
6. Xing, W., Song, Y., Li, C., & Liu, Z. (2025). Flipping the Roles: Engaging Middle School Students in Learning-by-teaching with a Generative AI-powered Teachable Agent. AERA. Denver, Colorado.
7. Ma, Y., & Song, Y. (2025). A Framework Defining AI Literacy for Medical Students. AERA. Denver, Colorado.
8. Liu, Z., Song, Y., & Xing, W. (2025). Identifying factors of in-video dropout in middle school online math learning using survival analysis. AERA. Denver, Colorado.
9. Xing, W., Liu, Z., & Song, Y. (2025). Teaching quantum computing to undergraduate students using a multimedia and simulation-based learning technology. AERA. Denver, Colorado.
10. Song, Y., Li, C., Ma, Y., Zhu, W., Lyu, B., Li, H., Xing, W. (Oct. 2024). The Impact of Tutoring Strategies on Success and Knowledge Representation in Asynchronous Online Math Discussions. AECT. Kansas City, MO.
11. Li, C., Xing, W., Song, Y., Lyu, B. (Oct. 2024). A Design-based Research Study on Conversational Artificial Intelligence to Support Math Learning. AECT. Kansas City, MO.
12. Liu, Z., Song, Y., Xing, W., Guo, J., Feng, P., & Kim, G. (Oct. 2024). Enhancing students’ quantum computing learning through multimedia and simulation-based tools. AECT. Kansas City, MO.
13. Xing, W., Liu, Z., & Song, Y. (Oct. 2024). Understanding in-video dropout behavior: Analyzing student engagement in online math education. AECT. Kansas City, MO.
14. Oh, H., Guo, R., Xing, W., Song, Y., Li, C., Liu, Z. (Oct. 2024). Integrating Machine Learning into High School Mathematics. AECT. Kansas City, MO.
15. Yang, Q., William, R., Song, Y., Xing, W., Guo, J. (Sep. 2024). An Interactive Tool of Spin Qubit for Quantum Science and Engineering Education. IEEE QCE24. Montréal, Canada.
16. Song, Y., Li, C., Xing, W., Lee, H., Li, S., Ma, Y. (Apr. 2024). Fairness-Aware Behavioral Clustering for Self-regulated Learning in Virtual Learning Environments. AERA. Philadelphia, PA.
17. Song, Y., Xing, W., Li, C., Oh, H. (Apr. 2024). ART-Math: A Story-based Math Creation Platform for Engaging Elementary School Learners in Mathematics Learning. AERA. Philadelphia, PA.
18. Song, Y., Tian, X., Solomon, C., Israel, M. (Oct 2023). Demystifying AI for Middle School Learners through Building Chatbots. AI days, University of Florida.
19. Song, Y., Zhang, Z., Oh, H., Li, C., Xing, W. (Oct 2023). Draw, Tell, Create! A Story-based Mathematics Creation Platform for Elementary School Learners. FATE 2023.
20. Moore, R. Song, Y., Abramowitz, B., & Opoky, R. (Oct 2023). Let’s Build Together: Techniques and Approaches for Engaging Stakeholders in AI Development. Empowering Learners in AI conference.
21. Song, Y., Xing, W., Barron, A., Oh, H., Li, C. & Minces, V. (Oct 2023). Unlocking the Potential of Coding Music for Young Students through M-flow Platform. AECT. Orlando, FL.
22. Song, Y., Tian, X., Barrett, J., Israel, M., & Boyer, E. K. (11 June 2023). Guide, Safety Net, Project Tester, and More: Investigating the Roles of Facilitators in an AI Summer Camp. ICLS. Montreal, Canada.
23. Song, Y., Ma, Y., & Israel, M. (4 Apr 2023). Understanding Collaborative Learning in Pair Programming using Ordered Network Analysis. UF College of Education Research Symposium. (BEST PAPER AWARD)
24. Song, Y., Myers, T., & Rahimi, S. (Nov 2022). Stealth Assessment Theory, design, and practice: Computational Thinking. FERA. Daytona Beach, FL.
25. Lim, C., Song, Y., Lim, E., & Lee, J. (28 Oct 2022). A Study on Development and Application of a Data Science Education Program for Elementary School Students. AECT.
26. Tian, X., Song, Y., & Kumar, A. (17 May 2022). Teaching AI in Middle School Summer Camps through Conversational AI. AI in Education Symposium, University of Florida.
27. Myers, T. & Song, Y. (14 Apr 2022). ACTS: Assessing Computational Thinking Stealthily in a Block Coding-based Game Environment. UF College of Education Research Symposium. (HONORABLE MENTION POSTER AWARD)
28. Song, Y. (2020). Instructional Model for Design Thinking-based AI Service Designing Program for high school students. AECT.
29. Lim, C., Han, H., Hong, S., Song, Y., & Lee, D. (2020). Design Principles for Improving Creative Thinking Competency in Corporate Education. AECT.
30. Lim, C., Lee, U., Bae, Y., Song, Y., Lee, J., & Jung, H. (2020). Smart Learning Environment for the Post-COVID era. Korean Association for Educational Information and Media & KSET.
31. Song, Y., Hong, S., Park, C., Liu, K., Lim, C. (2019). A study on the improvement of RPISD. ICER.
32. Lim, C., Han, H., Lee, D., Song, Y., Hong, S. (2019). Development and Implementation of Educational Methodology for creative thinking in corporate contexts. Korean Association for Educational Information and Media & KSET.
33. Song, Y. (2019). Development and Implementation of the Design Thinking-Based Software Planning Program- in high school context. ICER.
34. Song, Y., Hong, S., Liu, K., Park, C. (2019). A Study on the Development of Creative Marketing Educational Training Program based on RPISD. ICER.