Research Data for AI-Supported Scrum Microlearning in Higher Education

Abstract

This dataset contains anonymized research data collected as part of a quasi-experimental study evaluating an AI-supported Scrum Microlearning framework in higher education. The dataset includes pre-test and post-test learning assessment results for students participating in three study conditions: an Experimental SE group using the AI-supported Scrum Microlearning approach for the Software Engineering/Linux (Ubuntu) course, an Experimental WEB group using the approach for the Web Development course, and a Control SE group receiving conventional instruction for the Software Engineering/Linux (Ubuntu) course. The dataset also includes responses from the post-experiment questionnaire used to evaluate students' perceptions and experiences of the learning environment, including relevant measures of usability, engagement, motivation, and system evaluation. The data are provided in anonymized form to support transparency, reproducibility, and further research. Directly identifying information, including email addresses, has been removed. Participants are represented using anonymous identifiers, and potentially identifying information has been excluded from the publicly available dataset. The dataset supports the research article investigating the application of Generative AI and Scrum principles to personalized microlearning in higher education.