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Pythia - 1st Evaluation

<p>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 R&ouml;hrl et al. (S. R&ouml;hrl, 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.)</p> <p>&nbsp;</p> <p>Learning path algorithms:</p> <ul> <li>Tyche (https://doi.org/10.21125/inted.2024.1080 &amp; https://zenodo.org/doi/10.5281/zenodo.10461677) is a Markov model</li> <li>Nestor (https://doi.org/10.21125/iceri.2023.1144) is a Bayesian network</li> </ul> <p>&nbsp;</p> <p>Learning element categories:</p> <ul> <li>Data: https://doi.org/10.5281/zenodo.10022143 &amp; https://doi.org/10.5281/zenodo.10476168</li> <li>Publications: https://doi.org/10.21125/iceri.2023.0815 &amp; https://doi.org/10.21125/inted.2024.1087</li> </ul> <p>&nbsp;</p> <p>The following aspects are evaluated:</p> <ul> <li>General aspects</li> <li>Graphical user interface</li> <li>Usability</li> <li>Learning elements</li> <li>Learning paths</li> <li>Other aspects</li> </ul> <p>&nbsp;</p> <p>The survey itself is structured as follows:</p> <ol> <li>Demographic data</li> <li>Usage behavior</li> <li>Usability</li> <li>GUI</li> <li>Learning elements</li> <li>Learning paths</li> </ol> <p>&nbsp;</p> <p>Our software engineering course has the following structure:</p> <ol> <li>Introduction</li> <li>Development processes</li> <li>Requirements engineering</li> <li>UML</li> <li>Design Pattern</li> <li>Safety and Security</li> <li>Software testing</li> </ol> <p>&nbsp;</p> <p>Further notes:</p> <p>The ranking of the learning elements range from 1 to 9. 1 is the best leaning element, while 9 is the worst.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>The corresponding scientific paper can be found via ORCID (https://orcid.org/0009-0009-4346-8678) as of September 2024.</p> <p>&nbsp;</p> <p>The presented work is supported by the &lsquo;German Federal Ministry of Research, Technology and Space&rsquo; (BMFTR) through the granting of the funding project HASKI (FKZ: 16DHBKI035).</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0