Curriculum Vitae

Han, Songhee

July 22, 2026

General Information

University address:	Instructional Systems & Learning Technologies
Educational Psychology & Learning Systems
Anne Spencer Daves College of Education, Health, and Human Sciences
Stone Building, 1114 W. Call St.
Florida State University
Tallahassee, FL 32306 32306 32306

E-mail address:	sh24br@fsu.edu
	songhee.han@fsu.edu

Professional Preparation

2024	PhD, The University of Texas at Austin, TX, USA. Major: Curriculum and Instruction. Learning Technologies. Supervisor: Min Liu. 

2019	MA, The University of Texas at Austin, TX, USA. Major: Curriculum and Instruction. Learning Technologies. 

2008	BEd, Seoul National University of Education, Seoul, South Korea. Major: Elementary Education. Science & Technology Education. 

Honors, Awards, and Prizes

Anne's College Open Access Publication Program (2025). ($4,000). 
Best Paper Award, American Educational Research Association (AERA) Instructional Technology Special Interest Group (2025). 
Outstanding Dissertation Award, American Educational Research Association (AERA) Division D: Measurement & Research Methodologies (2025). ($1,000). 

Teaching

Courses Taught

Inquiry and Measurement for Practitioners (EDF5442)
Research on Learning, Instruction, and Performance Systems (EDG6363)
Introduction to Instructional Systems (EME5601)
Introduction to Instructional Systems (EME5601)
Trends and Issues in Instructional Design (EME5608)
Evaluation of Instruction and Training in HPT (EME6357)

Doctoral Committee Chair

Adams, G., doctoral candidate. 
Knight, E., doctoral candidate. 
Lattimore, A., doctoral candidate. 
Mize, K. B., doctoral candidate. 
Salazar, D. E., doctoral candidate. 
Dunkel, E. K., doctoral student. 
Gornick, C., doctoral student. 
Han, J., doctoral student. 
Hartzog, J. M., doctoral student. 
Shin, J., doctoral student. 

Doctoral Committee Member

Green, A. J., graduate. (2026).
Hogan, C., graduate. (2026).
Kuwik, J. A., graduate. (2026).
Newsome, M. T., graduate. (2026).
Morgan, A. T., graduate. (2025).
Sanguinetti, B., graduate. (2025).
Bojanowski, L. D., doctoral candidate. 
Ellis, A., doctoral candidate. 
Justice, A. J., doctoral candidate. 
Kim, C., doctoral candidate. 
Kirby, T., doctoral candidate. 
Mbanzabugabo, J. B., doctoral candidate. 
Merriweather, Y. N., doctoral candidate. 
Wang, Z., doctoral candidate. 
Wright, J. E., doctoral candidate. 

Research and Original Creative Work

Publications

Refereed Journal Articles

Han, S., Castellanos-Reyes, D., Jiang, Z., & Liu, M. (2026). Profiling students who thrive in MOOCs: Voluntary evaluators within a high-engagement cluster prioritize practical tools and structured content. Journal of Computing in Higher Education. doi:10.1007/s12528-026-09495-3

Han, S. (2026). Why teaching resists automation in an AI-inundated era: Human judgment, non-modular work, and the limits of delegation. TechTrends. doi:10.1007/s11528-026-01208-y

Cai, Y., Shao, P., Han, S., & Liu, M. (2025). Analyzing middle school students' performance in a multimedia-enriched problem-based learning program through learning analytics. The Journal of Applied Instructional Design, 14(2). Retrieved from https://edtecharchives.org/journal/2222/20763

Han, S. (2025). Learner autonomy and mode selection in dual-mode chatbot: Students' interaction patterns and learning outcomes in an online course. Computers & Education, Available in Sep, Article 105464. doi:10.1016/j.compedu.2025.105464

Liu, M., Han, S., Shao, P., & Cai, Y. (2025). Mental effort matters: Unpacking the influence of need for cognition on middle school students' motivation and learning performance in technology-enriched problem-based learning. Educational technology research and development, 73, 1321–1346. doi:10.1007/s11423-025-10465-2

Han, S., Liu, M., Cai, Y., & Shao, P. (2025). Need for cognition's impact in science PBL: Assessing motivation and learning outcomes among diverse middle school students. Instructional Science, 53, 1139–1158. doi:10.1007/s11251-025-09731-w

Han, S., Ji, H., Jung, J., Lee, U., & Liu, M. (2025). Understanding sentiments toward an educational chatbot in MOOCs: Neutral interactions, diverse reflections, and key predictive factors. Technology, Knowledge and Learning, 1-23. doi:10.1007/s10758-025-09902-1

Han, S., & Liu, M. (2024). Equity at the forefront: A systematic research and development process of chatbot curriculum for massive open online courses. Educational Technology & Society, 27(4), 339-351. doi:10.30191/ETS.202410_27(4).SP08

Han, S., Hamilton, X., Cai, Y., Shao, P., & Liu, M. (2023). Knowledge-based chatbots: A scale measuring students' learning experiences in massive open online courses. Educational Technology Research and Development, 1-26. doi:10.1007/s11423-023-10280-7

Liu, M., Cai, Y., Han, S., & Shao, P. (2023). Understanding middle school students' self-efficacy and performance in a technology-enriched problem-based learning program: A learning analytics approach. Journal of Educational Technology Systems. doi:10.1177/00472395231174034

Han, S., & Lee, M. K. (2022). FAQ chatbot and inclusive learning in massive open online courses. Computers & Education, 179, Article 104395. doi:10.1016/j.compedu.2021.104395

Han, S., Liu, M., Pan, Z., Cai, Y., & Shao, P. (2022). Making FAQ chatbots more Inclusive: An examination of non-native English users' interactions with new technology in massive open online courses. International Journal of Artificial Intelligence in Education, 1-29. doi:10.1007/s40593-022-00311-4

Cai, Y., Pan, Z., Han, S., Shao, P., & Liu, M. (2022). The impact of multimodal communication on learners' experience in a synchronous online environment: A mixed-methods study. Online Learning, 26(4), 118-145. doi:10.24059/olj.v26i4.3448

Liu, M., Cai, Y., Han, S., & Shao, P. (2022). Understanding student navigation patterns in game-based learning. Journal of Learning Analytics, 1-25. doi:10.18608/jla.2022.7637

Liu, M., Pan, Z., Cai, Y., Shao, P., & Han, S. (2021). The effect of a multimedia-enriched problem-based learning environment on socioeconomically disadvantaged middle school students' science learning: Examining the relationship among self-efficacy, attitude, and performance. Journal of Educational Multimedia and Hypermedia, 30(4), 359-391. Retrieved from https://www.learntechlib.org/primary/p/219807/

Liu, M., Pan, Z., Li, C., Han, S., Shi, Y., & Pan, X. (2021). Using learning analytics to support teaching and learning in higher education: A systematic focused review of journal publications from 2016 to present. International Journal on E-Learning, 20(2), 137-169. Retrieved from https://www.learntechlib.org/primary/p/218376/

Han, S., & Resta, P. E. (2020). Virtually authentic: Graduate students' perspective changes toward authentic learning while collaborating in a virtual world. Online Learning, 24(4). doi:10.24059/olj.v24i4.2326

Refereed Book Chapters

Liu, M., Han, S., Shao, P., Cai, Y., & Pan, Z. (2021). The current landscape of research and practice on visualizations and dashboards for learning analytics. In Visualizations and Dashboards for Learning Analytics (pp. 23-46). Springer, Cham. Retrieved from https://doi.org/10.1007/978-3-030-81222-5_2

Zintgraff, C., Han, S., & Butler, R. V. (2020). Regional industry clusters: A STEM center of gravity for educators, industry, government and non-profits. In STEM in the Technopolis: The Power of STEM Education in Regional Technology Policy (pp. 27-50). Springer, Cham. Retrieved from https://doi.org/10.1007/978-3-030-39851-4_2

Refereed Proceedings

Han, S., Na, H., & Kim, C. (2025). Implementation, not capabilities: How chatbot utilization shapes learners' navigation patterns in MOOCs. In Proceedings of the 18th International Conference on Educational Data Mining (pp. 596-598). International Educational Data Mining Society. Retrieved from https://educationaldatamining.org/EDM2025/proceedings/2025.EDM.poster-demo-papers.265/

Han, S., Kim, C., & Na, H. (2025). Intent-based vs. LLM-based chatbots in MOOCs: Do diverse students experience them differently? In International Conference on Artificial Intelligence in Education (pp. 226-233). Springer Nature Switzerland. Retrieved from https://doi.org/10.1007/978-3-031-99264-3_28

Han, S., Jung, J., Ji, H., Lee, U., & Liu, M. (2023). The role of social presence in MOOC students' behavioral intentions and sentiments toward the usage of a learning assistant chatbot: A diversity, equity, and inclusion perspective examination. In International Conference on Artificial Intelligence in Education (pp. 236-241). Springer Nature Switzerland. Retrieved from https://doi.org/10.1007/978-3-031-36336-8_36

Han, S., Ji, H., Jiang, Z., West, M., & Liu, M. (2023). What do students want to know while taking massive open online courses? Examining massive open online course students' needs based on online forum discussions from the Universal Design for Learning ap. In LAK23: 13th International Learning Analytics and Knowledge Conference (pp. 572-578). Arlington, TX, USA: Association for Computing Machinery. Retrieved from http://dx.doi.org/10.1145/3576050.3576072

Han, S., & Liu, M. (2022). Developing an inclusive Q&A chatbot in massive open online courses. In International Conference on Artificial Intelligence in Education (pp. 10-15). Springer, Cham. Retrieved from https://doi.org/10.1007/978-3-031-11647-6_2

Han, S., & Liu, M. (2021). Empowering teachers through professional development program and online learning community. In Society for Information Technology & Teacher Education International Conference (pp. 1236-1241). Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/primary/p/219280/

Han, S., & Resta, P. E. (2020). Investigating effective teaching practices for MOOC instructors through a TPACK lens. In EdMedia+ Innovate Learning (pp. 960-965). Association for the Advancement of Computing in Education (AACE). Retrieved from https://www.learntechlib.org/primary/p/217403/

Presentations

Refereed Presentations at Conferences

Shin, J., & Han, S. (presented 2026, April). A mixed method study on MOOC learners' behavioral intention to use an educational chatbot (Poster 2). Poster presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Los Angeles, CA. (International)

Han, S., & Liu, M. (presented 2026, April). Demographic factors and equity in AI-supported learning: A mixed-methods study of chatbot use in MOOCs. Presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Los Angeles, CA. (International)

Han, S., Shin, J., & Han, J. (presented 2026, April). Expectation and its change over time: A within-subject study of chatbot expectations and learning experience. Presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Los Angeles, CA. (International)

Han, S. (presented 2026, April). Exploring learner autonomy through chatbot mode selection: Interaction patterns and learning outcomes in an online course. Presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Los Angeles, CA. (International)

Han, S., & Liu, M. (presented 2026, April). MOOC chatbot adoption and learning outcomes: Students' socioeconomic regions and navigational behaviors. Presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Los Angeles, CA. (International)

Han, S., Castellanos-Reyes, D., & Jiang, Z. (presented 2026, April). Shifting the narrative in MOOC research: Insights from volunteer evaluators using a learning analytics approach (Poster 30). Poster presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Los Angeles, CA. (International)

Han, S., Na, H., & Kim, C. (presented 2025, July). Implementation, not capabilities: How chatbot utilization shapes learners' navigation patterns in MOOCs. Presentation at 18th International Conference on Educational Data Mining, EDM, Palermo, Italy. (International)

Han, S., Kim, C., & Na, H. (presented 2025, July). Intent-based vs. LLM-based chatbots in MOOCs: Do diverse students experience them differently? Presentation at International Conference on Artificial Intelligence in Education, AIED, Palermo, Italy. (International)

Han, S. (presented 2025, April). Does need for cognition determine success in science problem-based learning: Analyzing middle school students performance. Presentation at Annual Conference of American Educational Reserach Association, American Educational Reserach Association, Denver, CO. (International)

Han, S. (presented 2024, October). Analyzing middle school students' performance in a multimedia-enriched problem-based learning program through learning analytics. Presentation at Annual Conference of Association of Educational Communications and Technology, Association for Educational Communications and Technology, Kansas City, MO. (International)

Contracts and Grants

Contracts and Grants Funded

Han, S. (Dec 2025–Mar 2027). Bridging the AI Adoption Gap: Teacher-Led Design and Implementation of Generative AI-Supported Mathematics Instruction. Funded by Anne Spencer Daves College of Education, Health, and Human Sciences, Florida State University. Total award $25,214. 

Han, S. (Jun 2025–Aug 2025). Advancing Equity in Online Learning: Examination of an Open-Source Chatbot Enhanced by Customized Datasets and Open Educational Resources. Funded by First Year Assistant Professor (FYAP) Grant, Florida State University. Total award $20,000. 

Han, Songhee (PI). (May 2025–Aug 2025). FYAP: Advancing Equity in Online Learning: Examination of an Open-Source Chatbot Enhanced by Customized Datasets and Open Educational Resources. Funded by FSU CRC. (NONE). Total award $20,000. 

Han, S. (Apr 2025–Mar 2027). Large Language Model-Powered Retrieval-Augmented Generation Chatbot and Dashboard Pipelines: Scalable Solutions for Students' Academic Success. Funded by FSU / AWS Funding for Computer Support Seed Fund, Florida State University. Total award $20,000. 

Han, S. (Aug 2024–Jun 2025). Launching AI4Equity Lab. Funded by Anne Spencer Daves College of Education, Health, and Human Sciences, Florida State University. Total award $9,950. 

Contracts and Grants Pending

Choi, J., Han, S., Alamdari, N., & Dennen, V. (Jan 2027). A National Consortium for Just-in-Time, AI-Enhanced, Place-Based Environmental Education Training. Submitted to U.S. Environmental Protection Agency. Total award $4,727,155. 

Contracts and Grants Denied

Han, S. (Nov 2024). Open-Source Retrieval-Augmented Generation Pipelines: Enabling Scalable AI-Driven Educational Chatbots for Global Access. Submitted to Amazon Research Awards, Amazon. Total award $120,000. 

Service

Florida State University

FSU Department Service

Member, Faculty Search Committee (2025).

Member, EPLS ACTION Committee (2024–2025).

Member, CEHHS CORE EPLS Subcommittee (2024–2025).

FSU Program Service

Member, ISLT MS Program Admission Committee (2025–present).

Member, ISLT MS Program Curriculum Committee (2024–present).

Booth staff, ISLT Recruitment Event (2026).

The Profession

Guest Reviewer for Refereed Journals

Technology, Knowledge and Learning (Dec 2025–present).

Learning and Individual Differences (Nov 2025–present).

Computers & Education: Artificial Intelligence (Feb 2025–present).

Educational Technology Research and Development (Jan 2025–present).

Educational Technology & Society (Nov 2024–present).

Applied Computing and Informatics (Jan 2021–present).

Computers & Education (Jan 2021–present).

Reviewer or Panelist for Grant Applications

NSF (2026).

NSF (2026).

The Community

Conference proposal review, Panel discussion session proposal review; paper and round table proposal review, AERA Division D (2025–present).

Conference proposal review, Panel discussion session proposal review; paper and round table proposal review, AERA Technology as an Agent of Change in Teaching and Learning (TACTL) special interest group (2025–present).

Faculty advisor supporting students pursuing health care careers, NoleMed (student-run organization at FSU) (2025–present).

Annual conference program committee member, International Artificial Intelligence in Education Society (IAIED Society) (2023–present).

Graduate School Council (GSC) liaison, Represent GSC of Division D in the Significant Contributions Award Committee for 2022–2023 & Early Career Award Committee for 2023–2024, AERA Division D (2022–2024).