Pythia - 1st Evaluation

Results of a survey in the higher education area. Participants are German students and the survey is about evaluating the learning management system Pythia after Röhrl et al. (S. Röhrl, S. Staufer, V.K. Nadimpalli, F. Bugert, F. Hauser, L. Grabinger, D. Bittner, T. Ezer, J. Mottok (2024) PYTHIA - AI SUGGESTED INDIVIDUAL LEARNING PATHS FOR EVERY STUDENT, INTED2024 Proceedings, pp. 2871-2880.) Learning path algorithms: Tyche (https://doi.org/10.21125/inted.2024.1080 & https://zenodo.org/doi/10.5281/zenodo.10461677) is a Markov model Nestor (https://doi.org/10.21125/iceri.2023.1144) is a Bayesian network Learning element categories: Data: https://doi.org/10.5281/zenodo.10022143 & https://doi.org/10.5281/zenodo.10476168 Publications: https://doi.org/10.21125/iceri.2023.0815 & https://doi.org/10.21125/inted.2024.1087 The following aspects are evaluated: General aspects Graphical user interface Usability Learning elements Learning paths Other aspects The survey itself is structured as follows: Demographic data Usage behavior Usability GUI Learning elements Learning paths Our software engineering course has the following structure: Introduction Development processes Requirements engineering UML Design Pattern Safety and Security Software testing Further notes: The ranking of the learning elements range from 1 to 9. 1 is the best leaning element, while 9 is the worst. The corresponding scientific paper can be found via ORCID (https://orcid.org/0009-0009-4346-8678) as of September 2024. The presented work is supported by the ‘German Federal Ministry of Research, Technology and Space’ (BMFTR) through the granting of the funding project HASKI (FKZ: 16DHBKI035).