Learning Analytics Data from Collaborative SQL Exercises using the SQLValidator

Broneske, David; Obionwu, Victor; Berndt, Sarah; Hawlitschek, Anja

Learning Analytics Data from Collaborative SQL Exercises using the SQLValidator

dc.contributor.author	Broneske, David
dc.contributor.author	Obionwu, Victor
dc.contributor.author	Berndt, Sarah
dc.contributor.author	Hawlitschek, Anja
dc.date.accessioned	2023-06-28T09:25:07Z
dc.date.available	2023-06-28T09:25:07Z
dc.date.issued	2023
dc.description.abstract	This data set is part of the DiP-iT project (http://www.dip-it.ovgu.de), which tests and evaluates different didactic concepts to improve collaborative learning of programming languages. This data set resembles student data of 83 students recorded at the university of Magdeburg in the Summer Semester 2021 (2022), where the SQLValidator is used in the weekly exercises to practice SQL. It consists of student questionnaire answers, submissions of students’ task solutions (and trials of their solution), as well as their chat and submissions of their semester’s team project. The questionnaire contains items on socio-demographic characteristics (e.g. gender, age), on factors relevant to the course (e.g. subject semester, degree program), on attitudes and attitudes towards the course (e.g. self-efficacy expectations, interest) and on teamwork (e.g. experience, relevance, openness towards teamwork). The students' previous knowledge is also surveyed subjectively (e.g. previous knowledge of programming, previous knowledge of SQL) and objectively (knowledge test in the area of teamwork). In the task solutions, students test their SQL queries in the SQLValidator for the weekly exercises in a trial-and-error fashion. The aim was to analyze how students learn from the shown error messages and what problem-solving skills they employ. In the semester’s team project, a group of students is working on the tasks, chat about the tasks and submit their solutions. The aim of this part was to analyze collaboration behavior between students and factors for a successful collaboration.	de_DE
dc.identifier.uri	http://open-science.ub.ovgu.de/xmlui/handle/684882692/113
dc.identifier.uri	https://doi.org/10.24352/ub.ovgu-2023-100
dc.language.iso	en	de_DE
dc.publisher	Otto-von-Guericke-Universität Magdeburg	de_DE
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	Learning Analytics	de_DE
dc.subject	Collaborative Programming	de_DE
dc.subject	Team Behavior	de_DE
dc.subject	SQL Exercises	de_DE
dc.title	Learning Analytics Data from Collaborative SQL Exercises using the SQLValidator	de_DE
dc.type	Dataset	de_DE