Exploring the Prevalence of SQL Misconceptions: a Study Design. - Daphne Miedema; Efthimia Aivaloglou; George Fletcher 001 (Koli Calling, 2021)

SQLVis: Visual Query Representations for Supporting SQL Learners. - Daphne Miedema; George Fletcher 001 (VL/HCC, 2021)

Increasing Awareness of SQL Anti-Patterns for Novices: A Study Design. - Leonardo Mathon; Daphne Miedema (ICER (2), 2022)

So many brackets!: an analysis of how SQL learners (mis)manage complexity during query formulation. - Daphne Miedema; George Fletcher 001; Efthimia Aivaloglou (ICPC, 2022)

Characterizing Data Scientists' Mental Models of Local Feature Importance. - Dennis Collaris; Hilde J. P. Weerts; Daphne Miedema; Jarke J. van Wijk; Mykola Pechenizkiy (NordiCHI, 2022)

DataEd'22 - 1st International Workshop on Data Systems Education: Bridging Education Practice with Education Research. - Efthimia Aivaloglou; George Fletcher 001; Daphne Miedema (SIGMOD Conference, 2022)

Identifying SQL misconceptions of novices: findings from a think-aloud study. - Daphne Miedema; Efthimia Aivaloglou; George Fletcher 001 (Inroads, 2022)

Report on the First International Workshop on Data Systems Education (DataEd '22). - Efthimia Aivaloglou; George Fletcher 001; Michael Liut; Daphne Miedema (SIGMOD Rec., 2022)

Toward a Fundamental Understanding of SQL Education. - Daphne Miedema (ICER (2), 2023)

MSMI1: Towards a Validated SQL Misconceptions Instrument. - Daphne Miedema; Michael Liut; George Fletcher 001; Efthimia Aivaloglou (ICER (2), 2023)

Engaging Databases for Data Systems Education. - Toni Taipalus; Daphne Miedema; Efthimia Aivaloglou (ITiCSE (1), 2023)

"There is no ambiguity on what to return": Investigating the Prevalence of SQL Misconceptions. - Daphne Miedema; Michael Liut; George H. L. Fletcher; Efthimia Aivaloglou (Koli Calling, 2023)

Students' Perceptions on Engaging Database Domains and Structures. - Daphne Miedema; Toni Taipalus; Efthimia Aivaloglou (SIGCSE (1), 2023)

DataEd'23 - 2nd International Workshop on Data Systems Education: Bridging Education Practice with Education Research. - Efthimia Aivaloglou; George Fletcher 001; Daphne Miedema (SIGMOD Conference Companion, 2023)

Expert Perspectives on Student Errors in SQL. - Daphne Miedema; George Fletcher 001; Efthimia Aivaloglou (ACM Trans. Comput. Educ., 2023)

A Feasibility Study on Automated SQL Exercise Generation with ChatGPT-3.5. - Willem Aerts; George Fletcher 001; Daphne Miedema (DataEd@SIGMOD, 2024)

Curriculum Analysis for Data Systems Education. - Daphne Miedema; Toni Taipalus; Vangel V. Ajanovski; Abdussalam Alawini; Martin Goodfellow; Michael Liut; Svetlana Peltsverger; Tiffany Young (ITiCSE (2), 2024)

Data Systems Education: Curriculum Recommendations, Course Syllabi, and Industry Needs. - Daphne Miedema; Toni Taipalus; Vangel V. Ajanovski; Abdussalam Alawini; Martin Goodfellow; Michael Liut; Svetlana Peltsverger; Tiffany Young (ITiCSE-WGR, 2024)

Third International Workshop on Data Systems Education (DataEd'24). - Daphne Miedema; Sourav S. Bhowmick; Michael Liut (SIGMOD Conference Companion, 2024)

Report on the Second International Workshop on DataSystems Education (DataEd '23). - Daphne Miedema; Efthimia Aivaloglou; Sihem Amer-Yahia; George Fletcher 001; Michael Mior; Toni Taipalus (SIGMOD Rec., 2024)

Extracting Notional Machines for Databases. - Daphne Miedema; George Fletcher 001; Fenia Aivaloglou; Leonard Busuttil; Laura Farinetti; Martin Goodfellow; Giovanna Guerrini; Georgiana Haldeman; Yuhan Pan; Sujeeth Goud Ramagoni; Chandrika Satyavolu; Raja Sooriamurthi; et al. (ITiCSE (2), 2025)