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  • Ko S and Stephens-Martinez K. The Trees in the Forest: Characterizing Computing Students' Individual Help-Seeking Approaches. Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1. (343-358).

    https://doi.org/10.1145/3632620.3671099

  • Cipriano B, Baltazar B, Fachada N, Vourvopoulos A and Alves P. (2024). Bridging the Gap between Project-Oriented and Exercise-Oriented Automatic Assessment Tools. Computers. 10.3390/computers13070162. 13:7. (162).

    https://www.mdpi.com/2073-431X/13/7/162

  • Švábenský V, Vykopal J, Čeleda P and Dovjak J. (2024). Automated feedback for participants of hands-on cybersecurity training. Education and Information Technologies. 29:9. (11555-11584). Online publication date: 1-Jun-2024.

    https://doi.org/10.1007/s10639-023-12265-8

  • Saliba L, Shioji E, Oliveira E, Cohney S and Qi J. Learning with Style: Improving Student Code-Style Through Better Automated Feedback. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1. (1175-1181).

    https://doi.org/10.1145/3626252.3630889

  • Prather J, Reeves B, Denny P, Becker B, Leinonen J, Luxton-Reilly A, Powell G, Finnie-Ansley J and Santos E. (2023). “It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers. ACM Transactions on Computer-Human Interaction. 31:1. (1-31). Online publication date: 29-Feb-2024.

    https://doi.org/10.1145/3617367

  • Hui B. (2023). A Personalized Learning Approach to Support Students with Diverse Academic Backgrounds 2023 IEEE Frontiers in Education Conference (FIE). 10.1109/FIE58773.2023.10343070. 979-8-3503-3642-9. (1-9).

    https://ieeexplore.ieee.org/document/10343070/

  • Lawrence R, Foss S and Urazova T. (2023). Evaluation of Submission Limits and Regression Penalties to Improve Student Behavior with Automatic Assessment Systems. ACM Transactions on Computing Education. 23:3. (1-24). Online publication date: 30-Sep-2023.

    https://doi.org/10.1145/3591210

  • Abu Deeb F and Hickey T. (2023). Impact of reflection in auto-graders: an empirical study of novice coders. Computer Science Education. 10.1080/08993408.2023.2262877. (1-22).

    https://www.tandfonline.com/doi/full/10.1080/08993408.2023.2262877

  • Khademi K, de Vin M, Ricca C, Adiraju A, Lin L, Adeyemi O and Hui B. (2023). An Open CS1 Learning Platform to Promote and Incentivize Deliberate Practice 2023 IEEE International Conference on Advanced Learning Technologies (ICALT). 10.1109/ICALT58122.2023.00009. 979-8-3503-0054-3. (9-13).

    https://ieeexplore.ieee.org/document/10260884/

  • Leinonen J, Hellas A and Edwards J. Seeing Program Output Improves Novice Learning Gains. Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1. (180-186).

    https://doi.org/10.1145/3587102.3588796

  • Hart R, Hays B, McMillin C, Rezig E, Rodriguez-Rivera G and Turkstra J. Eastwood-Tidy: C Linting for Automated Code Style Assessment in Programming Courses. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1. (799-805).

    https://doi.org/10.1145/3545945.3569817

  • Mitra J. Studying the Impact of Auto-Graders Giving Immediate Feedback in Programming Assignments. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1. (388-394).

    https://doi.org/10.1145/3545945.3569726

  • Lehtinen T, Haaranen L and Leinonen J. Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes. Proceedings of the 25th Australasian Computing Education Conference. (49-58).

    https://doi.org/10.1145/3576123.3576129

  • Luxton-Reilly A, Tempero E, Arachchilage N, Chang A, Denny P, Fowler A, Giacaman N, Kontorovich I, Lottridge D, Manoharan S, Sindhwani S, Singh P, Speidel U, Stephen S, Terragni V, Whalley J, Wuensche B and Ye X. Automated Assessment: Experiences From the Trenches. Proceedings of the 25th Australasian Computing Education Conference. (1-10).

    https://doi.org/10.1145/3576123.3576124

  • Pirttinen N, Denny P, Hellas A and Leinonen J. Lessons Learned From Four Computing Education Crowdsourcing Systems. IEEE Access. 10.1109/ACCESS.2023.3253642. 11. (22982-22992).

    https://ieeexplore.ieee.org/document/10061397/

  • Sarsa S, Pettersson J and Hellas A. (2022). How to Help to Ask for Help? Help Request Prompt Structure Influence on Help Request Quantity and Course Retention 2022 IEEE Frontiers in Education Conference (FIE). 10.1109/FIE56618.2022.9962561. 978-1-6654-6244-0. (1-9).

    https://ieeexplore.ieee.org/document/9962561/

  • Sarsa S, Denny P, Hellas A and Leinonen J. Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models. Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1. (27-43).

    https://doi.org/10.1145/3501385.3543957

  • Kuo J, Lin H, Wang P and Nie Z. (2022). A Feedback System Supporting Students Approaching a High-Level Programming Course. Applied Sciences. 10.3390/app12147064. 12:14. (7064).

    https://www.mdpi.com/2076-3417/12/14/7064

  • Cipriano B, Fachada N and Alves P. (2022). Drop Project: An automatic assessment tool for programming assignments. SoftwareX. 10.1016/j.softx.2022.101079. 18. (101079). Online publication date: 1-Jun-2022.

    https://linkinghub.elsevier.com/retrieve/pii/S2352711022000577

  • Foss S, Urazova T and Lawrence R. Automatic Generation and Marking of UML Database Design Diagrams. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1. (626-632).

    https://doi.org/10.1145/3478431.3499376

  • Leinonen J, Denny P and Whalley J. A Comparison of Immediate and Scheduled Feedback in Introductory Programming Projects. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1. (885-891).

    https://doi.org/10.1145/3478431.3499372

  • Marchiori A. Labtool. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1. (1-7).

    https://doi.org/10.1145/3478431.3499285

  • Hall B, Heyl N, Baniassad E, Allen M and Holmes R. The efficacy of online office hours: an experience report. Proceedings of the 2021 ACM SIGPLAN International Symposium on SPLASH-E. (59-64).

    https://doi.org/10.1145/3484272.3484966