Knowledge
Research Area
What characterizes people’s awareness and understanding of information and processes?
Knowledge
Presentations
Kellogg, G. (2023, March). Emphasizing difference and indeterminacy in narrative research reports. Paper presented at the 6th Interdisciplinary Symposium on Qualitative Methodologies, University of South Florida, Tampa, FL.
Israel, M., Barrett, J., Cobo, A., Bennett, A., & Bergeron, L. (2022). Disability Inclusion in CSforAll. Workshop presented at the Computer Science Teachers Association, Chicago IL.
Antonyan, K., Shidfar, P., Koh, D.; Antonenko, P. (2022, April). The Role of Relational Data Representations, Seductive Details, and Topic Beliefs in Data Visualization Comprehension. Paper presented at the Annual American Educational Research Association, San Diego, CA.
Xu, Z., Antonenko, P., Dawson, K., Koh, D.K., Wusylko, C., Benedict, A., Bhunia, S., (2022, October) Engaging Upper Elementary Students in a Technology-Enhanced Cryptology and Cybersecurity Curriculum National Implementation. Paper presented at the Association for Educational Communications and Technology Convention, Las Vegas, NV.
Antonenko, P., Xu, Z., Wusylko, C., Dawson, K., Bhunia, S., & Benedict, A. (2022, August). Engaging Children in Cryptology and Cybersecurity Learning and Career Awareness. Paper presented at the American Society for Engineering Education Annual Conference & Exposition.
Wusylko, C. Dawson, K., Koh, D.K., Antonenko, P., Xu, Z. (2021, November) Opportunities for Design, Development, and Implementation of an Elementary School Cryptology and Cybersecurity Curriculum during COVID . Paper presented at the Association for Educational Communications and Technology Convention, Chicago, IL.
Terzian, S., and Wright, S. (2021, November). Paper Presentation: “Researching Creativity over the Twentieth Century: Purposes, Meanings, and Measurements.” Paper presented at the Annual Meeting of the History of Education Society, San Diego, CA.
Zou, W., Pan, Z., Li, C., & Liu, M. (2021). Does Social Presence Play a Role in Learners Positionsin MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums. In International Conference on Quantitative Ethnography (pp. 248-264). Springer, Cham.
Liu, M., Li, C., & Pan, Z. (April, 2021). Using Learning Analytics to Understand How to Design Effective Digital Educational Games. Presented at the annual conference of the American Educational Research Association (AERA).
Liu, M., Zou W., Li, C., Shi, Y., Pan, Z., & Pan, X. (2020). Examining Relationships Between MOOC Participants’ Usage Data and Their Profiles Through Learning Analytics. Presented at the annual meeting of the American Educational Research Association (AERA). San Fransisco, CA, United States, April.
Zou, W., Shi, Y., Li, C., & Liu, M. (2020). Examining learners’ social presence in relation to their engagement in social interactions in MOOC forums. Presented at the annual meeting of the American Educational Research Association (AERA). San Fransisco, CA, United States, April.
Hampton, J., Sommer, M., Li, J., Socorro, J. Ritzhaupt, A., Dawson, K., Antonenko, P., Tsai, C. (2020). K-12 Students’ Conceptions of Learning with Technology: A Drawing Analysis. American Educational Research Association (AERA), San Francisco, CA.
Publications
Antonyan, K., Shidfar, P., & Antonenko, P. (2022). Cognitive Differences in Comprehending Data Visualizations with Seductive Details. Journal of Vision, 22(14), 4289-4289.
Xing, W., Li, C., Chen, G., Huang, X., Massicotte, J., & Xie, C. (2020). Automatic Assessment of Students’ Engineering Design Performance using a Bayesian Network Model. Journal of Educational Computing Research, 59(2), 230-256.
Sung, S., Li, C., Xie, C., Huang, X., & Shen, J. (2020). How Does Augmented Observation Facilitate Multimodal Representational Thinking? Applying Deep Learning to Decode Complex Student Construct. Journal of Science Education and Technology, 30(2), 210-226.
Zou, W., Hu, X., Pan, Z., Li, C., Cai Y., & Liu, M. (2020). Exploring the relationship between social presence and learners’ prestige in MOOC discussion forums using automated content analysis and social network analysis. Computers in Human Behavior, 115, 106582. https://doi.org/10.1016/j.chb.2020.106582.
Liu, M., Shi, Y., Pan, Z., Li, C., Pan, X., & Lopez, F. (2020). Examining middle school teachers’ implementation of a technology-enriched problem-based learning program: Motivational factors, challenges, and strategies. Journal of Research on Technology in Education, 1-17.
Liu, M., Li, C., Pan, Z., & Pan X. (2019). Mining Big Data to Help Make Informed Decisions for Designing Effective Learning Environments. Interactive Learning Environments, 1-21. https://doi.org/10.1080/10494820.2019.1639061.
Luo, F., Israel, M., Liu, R., Yan, W., Gane, B., Hampton, J. (2020). Understanding Students’ Computational Thinking through Cognitive Interviews: A Learning Trajectory-based Analysis. SIGCE, CS Education Research.
Liu, M., Zou, W., Shi, Y., Pan, Z., & Li, C. (2019). What Do Participants Think of Today’s MOOCs: An Updated Look at the Benefits and Challenges of MOOCs Designed for Working Professionals. Journal of Computing in Higher Education, 1-23.
