Daphne Miedema, Toni Taipalus, Vangel V. Ajanovski, Abdussalam Alawini, Martin Goodfellow, Michael Liut, Svetlana Peltsverger, Tiffany Young. Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry needs. In 2024 Working Group Reports on Innovation and Technology in Computer Science Education. Paper
2024
Daphne Miedema, Efthimia Aivaloglou, Sihem Amer-Yahia, George Fletcher, Michael Mior, Doni Taipalus. Report on the Second International Workshop on Data Systems Education (DataEd '23). In ACM SIGMOD Record volume 53, issue 3. Paper
Willem Aerts, George Fletcher, Daphne Miedema. A Feasibility Study on Automated SQL Exercise Generation with ChatGPT-3.5. In DataEd 2024: Proceedings of the 3rd International Workshop on Data Systems Education. Paper
Dmitrii Orlov, Daphne Miedema, Nikolay Yakovets. A Cup of ChaiSQL: Benefits of Static Type Checking for SQL. In PLATEAU 2024: Proceedings of the 15th Workshop on Evaluation and Usability of Programming Languages and Tools. Paper
Daphne Miedema. On Learning SQL: Disentangling concepts in Data Systems Education. Dissertation from Eindhoven University of Technology.
2023
Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou. “There is no ambiguity on what to return”: Investigating the Prevalence of SQL Misconceptions. In Koli Calling ’23: 23rd International Conference on Computing Education Research, November 13-19. Paper
Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou. MSMI1: Towards a Validated SQL Misconceptions Instrument. In Proceedings of the 2023 ACM Conference on International Computing Education Research (ICER '23). Paper, poster and MSMI questions.
Daphne Miedema. Toward a Fundamental Understanding of SQL Education. In Proceedings of the 2023 ACM Conference on International Computing Education Research (ICER '23). Paper and poster.
Toni Taipalus, Daphne Miedema, Efthimia Aivaloglou. Engaging Databases for Data Systems Education. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education (ITiCSE '23). Paper and engaging database.
Best paper candidate
Daphne Miedema, Toni Taipalus, Efthimia Aivaloglou. Students' Perceptions on Engaging Database Domains and Structures. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGCSE '23). Paper.
Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema. Report on the First International Workshop on Data Systems Education (DataEd'22). In ACM SIGMOD Record. Paper.
2022
Dennis Collaris, Hilde J.P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy. Characterizing Data Scientists’ Mental Models of Local Feature Importance. In NordiCHI '22: Nordic Human-Computer Interaction Conference. Paper and layman explanation.
Leonardo Mathon, Daphne Miedema. Increasing Awareness of SQL Anti-Patterns for Novices: A Study Design. In Proceedings of the 2022 ACM Conference on International Computing Education Research (ICER '22). Paper, poster and tool link.
Daphne Miedema, George Fletcher, Efthimia Aivaloglou. Expert Perspectives on Student Errors in SQL. In ACM Transactions on Computing Education (TOCE). Paper.
Daphne Miedema, George Fletcher, Efthimia Aivaloglou. So many brackets! An analysis of how SQL learners (mis)manage complexity during query formulation. In Proceedings of the 30th International Conference of Program Comprehension (ICPC '22). Paper and replication package.
Reprint from ICER 2021: Daphne Miedema, Efthimia Aivaloglou, George Fletcher. Identifying SQL Misconceptions of Novices: Findings from a Think-Aloud Study. In ACM Inroads, Volume 13, Issue 1, pages 52-65. Article.
2021
Daphne Miedema, Efthimia Aivaloglou, George Fletcher. Exploring the Prevalence of SQL Misconceptions: a Study Design. In Proceedings of the 21st Koli Calling International Conference on Computing Education Research (Koli Calling '21) Abstract.
Daphne Miedema, Efthimia Aivaloglou, George Fletcher. Let's Ask the Experts: Insights into Student Misconceptions about SQL. Poster (pdf) for Alice&Eve 2021.
Best poster (audience choice)
Daphne Miedema, George Fletcher. SQLVis: Visual Query Representations for Supporting SQL Learners. 2021 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC '21) Paper, presentation video, demo video and repository.
Daphne Miedema, Efthimia Aivaloglou, George Fletcher. Identifying SQL Misconceptions of Novices: Findings from a Think-Aloud Study. In Proceedings of the 17th ACM Conference on International Computing Education Research (ICER '21), August 16-19, Virtual Event, USA. Paper, scroll down for presentation. Plain language explanation.
Honorable mention
Daphne Miedema. Visual Query Representations for Supporting SQL Learners. Presentation and slides (pdf) for ICT.OPEN 2021.
2020
Daphne Miedema. Visual Query Representations for Supporting SQL Learners. Presentation for ICT.OPEN 2020.
Cancelled
Daphne Miedema, George Fletcher. Visual Query Representations for Supporting SQL Learners.Poster (pdf) for ICT.OPEN 2020.
Cancelled
Daphne Miedema. What are common mistakes that novices make when learning query languages?Poster (pdf) for Alice&Eve 2020.
2nd prize
2019
Daphne Miedema. Towards successful interaction between Humans and Databases.MSc Thesis.