Digital Transformation of Education - 2022

Akram, B., Fisk, S., Yoder, S., Hunt, C., Price, T., Battestilli, L., & Barnes, T. (2022). Increasing Students' Persistence in Computer Science through a Lightweight Scalable Intervention. PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 526–532. https://doi.org/10.1145/3502718.3524815

Limke, A., Milliken, A., Catete, V., Gransbury, I., Isvik, A., Price, T., … Barnes, T. (2022). Case Studies on the use of Storyboarding by Novice Programmers. PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, pp. 318–324. https://doi.org/10.1145/3502718.3524749

Ausin, M. S., Maniktala, M., Barnes, T., & Chi, M. (2022, November 28). The Impact of Batch Deep Reinforcement Learning on Student Performance: A Simple Act of Explanation Can Go A Long Way. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION. https://doi.org/10.1007/s40593-022-00312-3

Gitinabard, N., Heckman, S., Barnes, T., & Lynch, C. (2022). Designing a Dashboard for Student Teamwork Analysis. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 446–452. https://doi.org/10.1145/3478431.3499377

Wang, W., Le Meur, A., Bobbadi, M., Akram, B., Barnes, T., Martens, C., & Price, T. (2022). Exploring Design Choices to Support Novices' Example Use During Creative Open-Ended Programming. PROCEEDINGS OF THE 53RD ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION (SIGCSE 2022), VOL 1, pp. 619–625. https://doi.org/10.1145/3478431.3499374

Abdelshiheed, M., Hostetter, J. W., Yang, Xi, Barnes, T., & Chi, M. (2022). Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 546–552. https://doi.org/10.1007/978-3-031-11644-5_47

Ju, S., Yang, Xi, Barnes, T., & Chi, M. (2022). Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, Vol. 13355, pp. 440–452. https://doi.org/10.1007/978-3-031-11644-5_36

Brady, C., Broll, B., Stein, G., Jean, D., Grover, S., Catete, V., … Ledeczi, A. (2022). Block-based abstractions and expansive services to make advanced computing concepts accessible to novices. JOURNAL OF COMPUTER LANGUAGES, 73. https://doi.org/10.1016/j.cola.2022.101156

Gao, G., Khoshnevisan, F., & Chi, M. (2022). Reconstructing Missing EHRs Using Time-Aware Within- and Cross-Visit Information for Septic Shock Early Prediction. 2022 IEEE 10TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2022), pp. 151–162. https://doi.org/10.1109/ICHI54592.2022.00034

Marwan, S., Akram, B., Barnes, T., & Price, T. W. (2022). Adaptive Immediate Feedback for Block-Based Programming: Design and Evaluation. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(3), 406–420. https://doi.org/10.1109/TLT.2022.3180984

Maniktala, M., Chi, M., & Barnes, T. (2022, August 3). Enhancing a student productivitymodel for adaptive problem-solving assistance. USER MODELING AND USER-ADAPTED INTERACTION. https://doi.org/10.1007/s11257-022-09338-7

Jocius, R., O'Byrne, W. I., Albert, J., Joshi, D., Blanton, M., Robinson, R., … Catete, V. (2022, April 18). Building a Virtual Community of Practice: Teacher Learning for Computational Thinking Infusion. TECHTRENDS. https://doi.org/10.1007/s11528-022-00729-6