Doga Cambaz, Xiaoling Zhang (2024), Use of AI-driven Code Generation Models in Teaching and Learning Programming: a Systematic Literature Review, In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education p.172-178, ACM.

Vivian Van Der Werf, Felienne Hermans, Marcus Specht, Efthimia Aivaloglou (2024), Variables and Variable Naming in Popular Programming Textbooks for Children and Novices, In SIGCSE Virtual 2024 p.242-248, ACM.

Steffen Staab, Luca Maria Aiello, Yelena Mejova, Oshani Seneviratne, Marc Spaniol, Katharina Kinder-Kurlanda, Agnieszka Faleńska, Ujwal Gadiraju, Georgios Smaragdakis, More Authors (2024), Web Science 2024: Conference Chairs' Welcome Message, Proceedings of the 16th ACM Web Science Conference, WebSci 2024 p.III-X.

S. Salimzadeh, Ujwal Gadiraju (2024), When in Doubt! Understanding the Role of Task Characteristics on Peer Decision-Making with AI Assistance, In UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization p.89 - 101.

Alisa Smirnova, Jie Yang, Philippe Cudre-Mauroux (2024), XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction, In CIKM '24 p.2097-2107, ACM.

Esra Cemre Su de Groot, Ujwal Gadiraju (2024), “Are we all in the same boat?” Customizable and Evolving Avatars to Improve Worker Engagement and Foster a Sense of Community in Online Crowd Work, In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems, ACM.

Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, Jie Yang (2024), “It Is a Moving Process”: Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine, Florian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski (Eds.), In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, ACM.

Daphne Miedema, Michael Liut, George H. L. Fletcher, Efthimia Aivaloglou (2024), “There is no ambiguity on what to return”: Investigating the Prevalence of SQL Misconceptions, A. Mühling, I. Jormanainen (Eds.), In Koli Calling '23 , ACM.

Benjamin Bettencourt, Assoumer Redempta Manzi Muneza, Michael Green, Samantha Anguiano, Jerry Alan Fails, Casey Kennington, Katherine Landau Wright, Maria Soledad Pera (2023), "Who are you?": Identifying Young Users from a Single Search Query, In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization p.305-310, ACM.

Amir Abolfazli, Jakob Spiegelberg, Avishek Anand, Gregory Palmer (2023), A Deep Reinforcement Learning Approach to Configuration Sampling Problem, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE International Conference on Data Mining (ICDM), IEEE.