Preparation
Research Area
How do teachers and learners disseminate, acquire, and negotiate knowledge, skills, and beliefs?
Preparation
Presentations
Silva, R., Coleman-King, C. (2023, April). Harnessing Critical Reflection and Racial Identity Development through Explicit Instruction. [Roundtable Session]. Paper presented at the American Educational Research Association, Chicago, IL.
Silva, R., Vescio, V. (2023, March). Instructors’ Understandings of Equity, Inclusion, and UDL: Intersecting or Distinct Frameworks?. Paper presented at the Association of Teacher Educators Annual Conference, Jacksonville, FL.
Du, H., Xing, W., & Zhang, Y. (2023, April). Exploring High School Students’ Misconceptions in a Data Science Foundation Course. Paper presented at the American Educational Research Association, Chicago, IL.
Wright, S. A. (2023, March). Emerging Scholars Paper Presentation: “Creating New Pathways: Using A/r/tography to Promote Reflexivity Among Teacher Candidates.” Paper presented at the Association of Teacher Educators Annual Conference, Jacksonville, FL.
Bennett, A. & Israel, M. (2023). Preservice teachers implementing Universal Design for Learning and accessibility in computer science education. Paper presented at the Universal Design for Learning Implementation Research Network Conference, Orlando, FL.
Ramirez-Salgado, A., Wusylko, C., Delgado, J., Weisberg, L., & Israel, M. (2023, April). Integrating Computational Thinking into Elementary Teacher Preparation. Paper presented at the University of Florida College of Education Research Symposium, Gainesville, FL.
Ramirez-Salgado, A., Israel, M. (2023, April). Preservice elementary teachers’ beliefs on integrating computational thinking in different content areas. Paper presented at the American Educational Research Association annual conference, Chicago, IL, United States.
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 Artificial Intelligence Summer Camp. In Proceedings of 2023 International Conference of the Learning Sciences.
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 2023 Association for the Advancement of Artificial Intelligence (AAAI 2023), February 7-14, Washington, DC, USA.
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 the 54th ACM Technical Symposium on Computing Science Education V. 1 (SIGCSE 2023), March 15–18, 2023, Toronto, ON, Canada. ACM, New York, NY, USA, 7 pages. DOI: https://doi.org/10.1145/3545945.3569864
Israel, M., Cobo, A., Chandler, L., Ramirez-Salgado, A., Bennett, A., & Weisberg, L. (2023, Apr. 16). Scaffolding through multiple entry points to increase K-8 computer science participation and inclusion. Paper presented at the American Educational Research Association annual meeting, Chicago, IL.
Dana, N. F., & Weisberg, L. (2023, Mar. 28). Shaping teacher inquiry to optimize teacher and teacher candidate learning. Paper presented at the Association of Teacher Educators annual meeting, Jacksonville, FL.
Weisberg, L. (2023, Mar. 28). Preparing teacher candidates to critically evaluate online information and media. Paper presented at the Association of Teacher Educators annual meeting, Jacksonville, FL.
Weisberg, L. (2023, March). Equity-oriented technology integration: A novel approach to pedagogy in teacher education. Paper presented at the Association of Teacher Educators annual meeting, Jacksonville, FL.
Huang, R., Barrett, J. R., Strickland, C., Israel, M., Weisberg, L., & Ramirez-Salgado, A. (2023, March). Transitioning into CS ed: An inclusive model for in-service teacher preparation and certification [Poster]. SIGCSE 2023: Proceedings of the 54th ACM Technical Symposium on Computer Science Education. https://doi.org/10.1145/3545947.3576359
Weisberg, L. (2022, April). Engaging preservice teachers in the design and development of digital breakout games in an educational technology course [Roundtable session]. Paper presented at the American Educational Research Association annual meeting, San Diego, CA.
Lim, C., Song, Y., Lim, E., & Lee, J. (2022, October). A Study on Development and Application of a Data Science Education Program for Elementary School Students. Paper presented at the Association for Educational Communications and Technology.
Dana, N. F., Chapman, S., Coleman King, C., Mundorf, J., Vetere, T., & Weisberg, L. (2022, February). Designing an equity-centered teacher education program: Promise and possibility. Paper presented at the Association of Teacher Educators annual meeting, Chicago, IL.
Weisberg, L. (2021, February). From teacher-driven tasks to student-centered activities: Technology integration for deeper learning in your teacher education program. Paper presented at the Association of Teacher Educators annual meeting, online.
Neumann, K. L., Alvarado-Albertorio, F., & Ramirez-Salgado, A. (2021, November). Aligning with Practice: Examining the Effects of a Practice-based Educational Technology Course on Preservice Teachers’ Potential to Teach with Technology. Paper presentation at the Association for Educational Communications and Technology annual convention, online.
Li, C., Xing, W., & Leite, W. (November, 2021). Building a Network-based Recommender System Using Fair AI to Support Help Seeking in Online Learning. Paper accepted to present at the annual meeting of the Association for Educational Communications & Technology (AECT), Chicago, IL.
Li, C., & Xing, W. (November, 2021). Using Conversational AI with deep learning to support MOOC learners. Paper accepted to present at the annual meeting of the Association for Educational Communications & Technology (AECT), Chicago, IL.
Li, C., Xing, W., & Leite, W. (November, 2021). Time for a Paradigm Shift in Predictive Analytics: Debiasing Models with Fair AI. Paper accepted to present at the annual meeting of the Association for Educational Communications & Technology (AECT), Chicago, IL.
Li, C., Xing, W., & Leite, W. (June, 2021). Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform. Paper presented at the 22nd International Conference on Artificial Intelligence in Education, Utrecht, the Netherlands.
Li, C., Xing, W., & Leite, W. (April, 2021). Yet Another Predictive Model? Fair Predictions of Students’ Learning Outcomes in an Online Math Learning Platform. Paper presented at the 11th International Learning Analytics and Knowledge Conference, online.
Bell, P., Quiñones, B., Jaimes, J. (2020, Nov.) “Moviendo Nuestra Gente ADELANTE: Setting up our Hispanic-Latinx Students for Success Presentation at NODA’s Extended Orientation Institute Annual Meeting. Virtual Conference.
Publications
Antonenko, P., & Abramowitz, B. (2022). In-service teachers’ (mis)conceptions of artificial intelligence in K-12 science education. Journal of Research on Technology in Education, 1 – 15. https://doi.org/10.1080/15391523.2022.2119450
Weisberg, L., Kohnen, A., & Dawson, K. (2022). Impacts of a digital literacy intervention on preservice teachers’ civic online reasoning abilities, strategies, and perceptions. Journal of Technology and Teacher Education, 30(1), 73-98.
Weisberg, L., Dawson, K., & Dana, N. F. (2022). Engaging preservice teachers in the design of digital breakout games in an educational technology course. Journal of Digital Learning in Teacher Education, 38(2), 71-88. https://doi.org/10.1080/21532974.2022.2038738
Rochlen, L., Putnam, E., Du, H., Tait, A., & Popov, V. (2022). Sequential Behavioral Analysis: A Novel Approach to Help Understand Clinical Decision-Making Patterns in Extended Reality Simulated Scenarios. Simulation in Healthcare. https://doi.org/10.1097/SIH.0000000000000686
Hansen, Z., Du, H., Eckel, R., Lugo, J., Xing, W., & Zhang, Y. (2022, August). A Preliminary Data-driven Analysis of Common Errors Encountered by Novice Answer Set Programmers. In the Technical Communication Proceedings of the 38th International Conference on Logic Programming (ICLP), EPTCS (pp. 12-24). https://doi.org/10.4204/EPTCS.364.2
Abramowitz, B., Ennes, M., Killingsworth, S., Antonenko, P., MacFadden, B., & Ivory, A. (2021). Science in School: Transforming K-12 Outreach through Scientist Teacher Partnerships. Journal of STEM Outreach, 4(1). https://doi.org/10.15695/jstem/v4i1.14
Velan, V., Woods-Robinson, R., Case, E., Warner, I., Poppiti, A., & Abramowitz, B. (2021). The Federal Science Project: A Scientist in Every Classroom. Shaping the Future of Science Policy, 18(03). https://doi.org/10.38126/jspg180308
Neumann, K. L., Alvarado-Albertorio, F., & Ramirez-Salgado, A. (2021). Aligning with Practice: Examining the Effects of a Practice-Based Educational Technology Course on Preservice Teachers’ Potential to Teach with Technology. TechTrends, 65(6), 1027-1041. https://link.springer.com/article/10.1007/s11528-021-00672-y
Li, C., Xing, W., & Leite, W. (2021). Yet Another Predictive Model? Fair Predictions of Students’ Learning Outcomes in an Online Math Learning Platform. LAK21: 11th International Learning Analytics and Knowledge Conference, 572-578. https://doi.org/10.1145/3448139.3448200.
Li, C., Xing, W., & Leite, W. (2021). Using Fair AI with Debiased Network Embeddings to Support Help Seeking in an Online Math Learning Platform. In Roll I., McNamara D., Sosnovsky S., Luckin R., & Dimitrova V. (Eds), Artificial Intelligence in Education, AIED 2021. Lecture Notes in Computer Science, Vol. 12749 (pp. 245-250). Springer, Cham. https://doi.org/10.1007/978-3-030-78270-2_44.
Bondy, E., Castanheira, B., Dowie-Chin, T., & Cowley, M. (2021). Cultivating social justice literacy in education leaders: Contemplating bodily and conceptual knowledges. Teaching in Higher Education, 1-16. https://doi.org/10.1080/13562517.2021.1872531
