Digital Transformation of Education - 2019 Jocius, R., Albert, J., Andrews, A., Catete, V., Dong, Y., Joshi, D., … Lytle, N. (2019). Infusing Computing Through Professional Development: Shifts in Content Area Teachers' Understandings of Computational Thinking Integration. Proceedings of Society for Information Technology & Teacher Education International Conference, 302–305. Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Mao, Y., Zhi, R., Khoshnevisan, F., Price, T. W., Barnes, T., & Chi, M. (2019). One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks. In C. F. Lynch, A. Merceron, M. Desmarais, & R. Nkambou (Eds.), Proceedings of the 12th International Conference on Educational Data Mining (pp. 119–128). Zhi, R., Marwan, S., Dong, Y., Lytle, N., Price, T. W., & Barnes, T. (2019). Toward Data-Driven Example Feedback for Novice Programming. Proceedings of the 12th International Conference on Educational Data Mining. Presented at the International Educational Data Mining Society, Montreal, Canada. Price, T. W., Dong, Y., Zhi, R., Paaßen, B., Lytle, N., Cateté, V., & Barnes, T. (2019). A Comparison of the Quality of Data-Driven Programming Hint Generation Algorithms. International Journal of Artificial Intelligence in Education, 29(3), 368–395. https://doi.org/10.1007/s40593-019-00177-z Milliken, A., Cody, C., Catete, V., & Barnes, T. (2019). Effective Computer Science Teacher Professional Development. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '19. Presented at the the 2019 ACM Conference. https://doi.org/10.1145/3304221.3319779 Dong, Y., Andrews, A., Cateté, V., Lytle, N., Isvik, A., Barnes, T., … Robinson, R. (2019). Infusing Computing. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '19. Presented at the the 2019 ACM Conference. https://doi.org/10.1145/3304221.3319772 Lytle, N., Barnes, T., Cateté, V., Boulden, D., Dong, Y., Houchins, J., … Wiebe, E. (2019). Use, Modify, Create. Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '19. Presented at the the 2019 ACM Conference. https://doi.org/10.1145/3304221.3319786 Zhi, R., Chi, M., Barnes, T., & Price, T. W. (2019). Evaluating the Effectiveness of Parsons Problems for Block-based Programming. Proceedings of the 2019 ACM Conference on International Computing Education Research - ICER '19. Presented at the the 2019 ACM Conference. https://doi.org/10.1145/3291279.3339419 Dong, Y., Marwan, S., Catete, V., Price, T., & Barnes, T. (2019). Defining Tinkering Behavior in Open-ended Block-based Programming Assignments. Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19. Presented at the the 50th ACM Technical Symposium. https://doi.org/10.1145/3287324.3287437 Dong, Y., Catete, V., Jocius, R., Lytle, N., Barnes, T., Albert, J., … Andrews, A. (2019). PRADA. Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19. Presented at the the 50th ACM Technical Symposium. https://doi.org/10.1145/3287324.3287431 Zhi, R., Price, T. W., Marwan, S., Milliken, A., Barnes, T., & Chi, M. (2019). Exploring the Impact of Worked Examples in a Novice Programming Environment. Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19. Presented at the the 50th ACM Technical Symposium. https://doi.org/10.1145/3287324.3287385 Lytle, N., Floryan, M., & Barnes, T. (2019). Effects of a Pathfinding Program Visualization on Algorithm Development. Proceedings of the 50th ACM Technical Symposium on Computer Science Education - SIGCSE '19. Presented at the the 50th ACM Technical Symposium. https://doi.org/10.1145/3287324.3287391 Cloude, E. B., Taub, M., Lester, J., & Azevedo, R. (2019). The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, Vol. 11626, pp. 36–40. https://doi.org/10.1007/978-3-030-23207-8_7 Zhou, G., Azizsoltani, H., Ausin, M. S., Barnes, T., & Chi, M. (2019). Hierarchical Reinforcement Learning for Pedagogical Policy Induction. ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2019), PT I, Vol. 11625, pp. 544–556. https://doi.org/10.1007/978-3-030-23204-7_45 Peddycord-Liu, Z., Catete, V., Vandenberg, J., Barnes, T., Lynch, C. F., & Rutherford, T. (2019). A Field Study of Teachers Using a Curriculum-integrated Digital Game. CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. https://doi.org/10.1145/3290605.3300658 Lytle, N., Catete, V., Dong, Y., Boulden, D., Akram, B., Houchins, J., … Wiebe, E. (2019). CEO: A Triangulated Evaluation of a Modeling-Based CT-Infused CS Activity for Non-CS Middle Grade Students. PROCEEDINGS OF THE ACM CONFERENCE ON GLOBAL COMPUTING EDUCATION (COMPED '19), pp. 58–64. https://doi.org/10.1145/3300115.3309527 Gitinabard, N., Xu, Y., Heckman, S., Barnes, T., & Lynch, C. F. (2019). How Widely Can Prediction Models Be Generalized? Performance Prediction in Blended Courses. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 12(2), 184–197. https://doi.org/10.1109/TLT.2019.2911832 Mudrick, N. V., Azevedo, R., & Taub, M. (2019). Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning. COMPUTERS IN HUMAN BEHAVIOR, 96, 223–234. https://doi.org/10.1016/j.chb.2018.06.028 Taub, M., & Azevedo, R. (2019). How Does Prior Knowledge Influence Eye Fixations and Sequences of Cognitive and Metacognitive SRL Processes during Learning with an Intelligent Tutoring System? INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 29(1), 1–28. https://doi.org/10.1007/s40593-018-0165-4 Washington, N., Barnes, T., Payton, J., Dunton, S., Stukes, F., & Peterfreund, A. (2019). RESPECT 2019: Yes, We Still Need to Talk About Diversity in Computing. COMPUTING IN SCIENCE & ENGINEERING, Vol. 21, pp. 79–83. https://doi.org/10.1109/MCSE.2018.2887008 Jeelani, I., Albert, A., Han, K., & Azevedo, R. (2019). Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 145(1). https://doi.org/10.1061/(ASCE)CO.1943-7862.0001589