In recent years, database education has been receiving more attention, with research in various directions such as the development of tools for education, the analysis of students’ homework, and the exploration of misconceptions. Misconceptions are mistakes in student reasoning that lead to errors during problem-solving. Recent work has documented misconceptions and errors in SQL. In this study we test the prevalence of several of these misconceptions through a multiple-choice questionnaire, to see if they hold on a larger, more diverse, student population. We found that all misconceptions are held to some extent, with prevalence scores ranging from one to fifty-two percent of the student population. Additionally, we have uncovered previously unidentified areas of struggle, allowing us to identify new misconceptions.@en

This report summarizes the outcomes of the first international workshop on Data Systems Education: Bridging Education Practice with Education Research (DataEd '22). The workshop was held in conjunction with the SIGMOD '22 conference in Philadelphia, USA on June 17, 2022. The aim of the workshop was to provide a dedicated venue for presenting and and discussing data management systems education experiences and research by bringing together the database and the computing education research communities to share findings, to crosspollinate perspectives and methods, and to shed light on opportunities for mutual progress in data systems education. The program featured two keynote talks, ten research paper presentations, a discussion session, and an industry panel discussion. In this report, we present the workshop's main results, observations, and emerging research directions.

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