| Robotics to promote elementary education pre-service teachers' STEM engagement, learning, and teaching CM Kim, D Kim, J Yuan, RB Hill, P Doshi, CN Thai Computers & education 91, 14-31, 2015 | 461 | 2015 |
| Learning analytics to support self-regulated learning in asynchronous online courses: A case study at a women's university in South Korea D Kim, M Yoon, IH Jo, RM Branch Computers & Education 127, 233-251, 2018 | 192 | 2018 |
| Toward evidence-based learning analytics: Using proxy variables to improve asynchronous online discussion environments D Kim, Y Park, M Yoon, IH Jo The Internet and Higher Education 30, 30-43, 2016 | 168 | 2016 |
| The influence of instructional design on learner control, sense of achievement, and perceived effectiveness in a supersize MOOC course E Jung, D Kim, M Yoon, S Park, B Oakley Computers & Education 128, 377-388, 2019 | 144 | 2019 |
| Exploring the structural relationships between course design factors, learner commitment, self-directed learning, and intentions for further learning in a self-paced MOOC D Kim, E Jung, M Yoon, Y Chang, S Park, D Kim, F Demir Computers & Education 166, 104171, 2021 | 131 | 2021 |
| Exploring student and teacher usage patterns associated with student attrition in an open educational resource-supported online learning platform D Kim, Y Lee, WL Leite, AC Huggins-Manley Computers & Education 156, 103961, 2020 | 117 | 2020 |
| Effects of self-regulation scaffolding on online participation and learning outcomes D Song, D Kim Journal of Research on Technology in Education, 2020 | 112 | 2020 |
| Constructing proxy variables to measure adult learners' time management strategies in LMS IH Jo, D Kim, M Yoon Journal of Educational Technology & Society 18 (3), 214-225, 2015 | 101 | 2015 |
| Designing supports for promoting self-regulated learning in the flipped classroom M Yoon, J Hill, D Kim Journal of Computing in Higher Education 33, 398-418, 2021 | 97 | 2021 |
| Promoting socially shared metacognitive regulation in collaborative project-based learning: a framework for the design of structured guidance D Kim, C Lim Teaching in Higher Education 23 (2), 194-211, 2018 | 71 | 2018 |
| Latent class analysis of non-formal learners’ self -directed learning patterns in open educational resource repositories D Kim, IH Lee, JH Park British Journal of Educational Technology, 2019 | 48 | 2019 |
| Predictor describe? How learning analytics dashboard design influences motivation and statistics anxiety in an online statistics course B Valle, N., Antonenko, P., Valle, D., Sommer, M., Huggins-Manley, C. A ... EducationalTechnology Research and Development., 2021 | 42* | 2021 |
| Self‑regulated learning strategies and student video engagement trajectory in a video‑based asynchronous online course: a Bayesian latent growth modeling approach D Kim, IH Jo, D Song, H Zheng, J Li, J Zhu, X Huang, W Yan, Z Xu Asia Pacific Education Review, https://doi.org/10.1007/s12564-021-09690, 2021 | 33 | 2021 |
| A Framework for Implementing OER-Based Lesson Design Activities for Pre-Service Teachers D Kim The International Review of Research in Open and Distributed Learning 19 (4), 2018 | 33 | 2018 |
| A schema-based instructional design model for self-paced learning environments E Jung, R Lim, D Kim Education Sciences 12 (4), 271, 2022 | 29 | 2022 |
| Studying the usability of an intervention to promote teachers’ use of robotics in STEM education CM Kim, J Yuan, D Kim, P Doshi, CN Thai, RB Hill, E Melias Journal of Educational Computing Research 56 (8), 1179-1212, 2019 | 29 | 2019 |
| The influence of academic level and course delivery mode on the use of motivational regulation strategies and learning engagement S Yun, Heoncheol, Park, D Kim, E Jung, M Yoon Australasian Journal of Educational Technology 36 (3), https://doi.org/10 …, 2020 | 23* | 2020 |
| Effects of case library recommendation system on problem solving and knowledge structure development AA Tawfik, K Kim, D Kim Educational Technology Research and Development, 1-25, 2020 | 23 | 2020 |
| Examining the role of self-efficacy and online metacognitive monitoring behaviors in undergraduate life science education X Huang, M Bernacki L., D Kim, W Hong Learning and Instruction, 2022 | 16 | 2022 |
| Multilevel mixture modeling with propensity score weights for quasi-experimental evaluation of virtual learning environments AC Leite, W. L., Jing, X., Kuang, H., Kim, D. & Huggins-Manley Structural Equation Modeling, https://doi.org/10.1080/10705511.2021.19, 2021 | 16* | 2021 |