Pythia - 1st Evaluation
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/11091868
下载链接
链接失效反馈官方服务：
资源简介：
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.
创建时间：
2024-07-01
