Publications

Selected scholarship

Research Publications

• Shin, Y., Song, D., Choi, S., & Lee, S. (2026). Exploring the relationship between computational thinking behaviors and socially shared metacognitive regulation in collaborative coding across task complexity. Education and Information Technologies. [Blog posting link]
• Chadha, C., Crosby, G., Ekin, S., Gharib, M., Hammad, E., Jin, C., Malik, A. A., Mendoza Diaz, N., Mollan, C., Nzebuka, G., Pandey, V., Park, J., Ramoni, M., Song, D., Vajipeyajula, B., & Patterson, A. E. (2026). AI and additive manufacturing as a coupled design system: Rethinking inference, manufacturability, and design education. International Journal of AI for Materials and Design.
• Song, D., & Lippert, A. (2025). Knowledge visualization to improve writing performance in undergraduate engineering courses. Journal of Digital Educational Technology. [Blog posting link]
• Kim, M,. Santiago, H., Song, D., & Jung Y. (2025). Exploring the experiences of kinesiology undergraduate students in sports-based disability simulations. International Journal of Kinesiology in Higher Education. [Blog posting link]
• Chiu, J., Castro, B., Ballard, I., Nelson, K., Zarutskie, P., Olaiya, K., Song, D., & Zhao, Y. (2025). Exploration of the role of ChatGPT in teaching communication skills for medical students: A pilot study. Medical Science Educator.
• Willis, J., Nicksic, K, Zientek, C., & Song, D. (2025). An analysis of school districts’ social media content patterns related to technology and their school performance. Educational Media International.
• Bui, N., Collier, J, Ozturk, Y. E., & Song, D. (2025). The effects of conversational agents on human learning and how we used them: A systematic review of studies before generative AI. TechTrends
• Nam, C.S., Song, D., & Jung. H (Eds.) (2024). Human-centered metaverse: Concepts, methods, and applications. Elsevier.
• Song, D. (2024). How learners’ trust changes in generative AI over a semester of undergraduate courses. International Journal of Artificial Intelligence in Education.
• Song, D. (2024). Artificial intelligence for human learning: A review of machine learning techniques used in education research and a suggestion of a learning design model. American Journal of Education and Learning.
• Song, D., & Glazewski, K. (2023). Scaffolding self-regulated learning in student-generated questioning using mobile phones. Education and Information Technologies.
• Song, D., Shin, Y., & Hong, H. (2022). Learning Analytics as an integrated approach in mixed methods research. In J. Hitchcock & A. Onwuegbuzie (Eds.), The Routledge Handbook for Advancing Integration in Mixed Methods Research (pp. 288-300). Routledge.
• Song, D., Oh, E., & Hong, H. (2022). The impact of teaching simulation computing with a conversational virtual agent with different attitudes on preservice teachers’ efficacy. Educational Technology & Society.
• Fennelly-Atkinson, R., LaPrairie, K. N., & Song, D. (2022). Identifying accessibility factors affecting learner inclusion in online university programs. Distance Education.
• Shin, Y., & Song, D. (2022). The effects of self-regulated learning support on learners’ task performance and cognitive load in computer programing. Journal of Educational Computing Research.
• Song, D., Hong, H., & Oh, E. (2021). Applying computational analysis of novice learners’ computer programming patterns to reveal self-regulated learning, computational thinking, and learning performance. Computers in Human Behavior.
• Oh, E., & Song, D. (2021). Developmental research on an interactive application for language speaking practice using speech recognition technology. Educational Technology Research and Development.
• Kim, D., Jo, I, Song, D., Zheng, H., Li, J., Zhu, J., Huang, X, Yan, W., & Xu, Z. (2021). Self-regulated learning strategies and student video engagement trajectory in a video-based asynchronous online course: a Bayesian latent growth modeling approach. Asia Pacific Education Review.
• Song, D., & Kim, D. (2020). Effects of self-regulation scaffolding on online participation and learning outcome. Journal of Research on Technology in Education.
• Cho, E., Cho, Y., Grant, M., Song, D., & Huh, Y. (2020). Trends and issues of educational technology in Korea and the U.S.: A report on the AECT – Korean Society for Educational Technology (KSET) panel discussion. TechTrends.
• Song, D., Rice, M., & Oh, E. (2019). Participation in online courses and interaction with a virtual agent. The International Review of Research in Open and Distributed Learning.
• Shin, Y., Kim, D., & Song, D. (2019). Types and timing of scaffolding to promote meaningful peer interaction and increase learning performance in computer-supported collaborative learning environments. Journal of Educational Computing Research. 
• Oh, E., Song, D., & Hong, H. (2019). Interactive computing technology in anti-bullying education: The effects of conversation-bot’s role on K-12 students’ attitude change towards bullying problems. Journal of Educational Computing Research.
• Song, D. (2018). Learning Analytics as an educational research approach. International Journal of Multiple Research Approaches.
• Song, D., Oh, E., & Glazewski, K. (2017). Student-generated questioning activity in second language courses using a customized personal response system: A case study. Educational Technology Research and Development.
• Song, D. (2017). Designing a teachable agent system for mathematics learning. Contemporary Educational Technology.
• Song, D., & Oh, E. (2017). The effects of retrieval with different cues on second language vocabulary learning. The Journal of Language Teaching and Learning.
• Kwon, K., Song, D., & Khikmatillaeva, U. (2017). Different types of collaborative problem-solving processes in an online environment: Solution oriented versus problem oriented. Journal of Educational Computing Research.
• Song, D. (2016). Student-generated questioning and quality questions: A literature review. Research Journal of Educational Studies and Review.
• Song, D., & Bonk, C. (2016). Motivational factors in self-directed informal learning from online learning resources. Cogent Education.
• Song, D., & Oh, E. (2016). A participatory design approach for a mobile app-based personal response system. Journal of Educational Technology Systems.
• Song, D., Karimi, A., & Kim, P. (2016). A Remotely Operated Science Experiment framework for under-resourced schools. Interactive Learning Environments.
• Song, D. (2016). Expertise reversal effect and sequencing of learning tasks in online English as a second language learning environment. Interactive Learning Environments.
• Kim, P., Suh, E., & Song, D. (2015). Development of a design-based learning curriculum through design-based research for a technology-enabled science classroom. Educational Technology Research and Development.
• Song, D., & Kim, P. (2015). A mobile science laboratory with Remotely Operated Science Experiment (ROSE). In H. Crompton & J. Traxler (Eds.), Mobile learning and STEM: Case studies in practice. 
• Song, D., & Kim, P. (2015). Inquiry-based mobilized math classroom with SMILE. In H. Crompton & J. Traxler (Eds.), Mobile Learning and Mathematics.
• Song, D., & Lee, J. (2014). Has Web 2.0 revitalized informal learning? The relationship between Web 2.0 and informal learning. Journal of Computer Assisted Learning.
• Song, D. (2014). A framework for mobile learning app design: DCALE. In C. Miller & A. Doering (Eds.), The New Landscape of Mobile Learning: Redesigning Education in an App-based World.
• Song, D. & Oh, E. (2011). Learning styles based on the different cultural background of KFL learners in online learning. Multimedia-Assisted Language Learning.