@inproceedings{SchauerKatharinaFernsel, author = {Schauer, Sophie and Katharina, Simbeck and Fernsel, Linda}, title = {The System Admin's Perspective: A Discussion on AI in Education with LMS Admins}, series = {International Conference on Information Technology Based Higher Education and Training (ITHET)}, booktitle = {International Conference on Information Technology Based Higher Education and Training (ITHET)}, publisher = {IEEE}, doi = {https://doi.org/10.1109/ITHET61869.2024.10837664}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:523-22759}, pages = {1 -- 5}, abstract = {Many higher education institutions (HEIs) are implementing or reviewing the implementation of predictive Learning Analytics to improve learning processes, identify students at risk or provide personalized learning paths. The responsibility for selecting, reviewing, implementing and supporting those systems falls on system administrators, an under-researched stakeholder group of Artificial Intelligence in higher education. In this paper, we summarize qualitative insights from a workshop with system administrators in German HEIs. We find that the system administrators are highly aware not only of system requirements but also of the needs of various shareholder groups such as institutional leadership, learners and educators and that they put high emphasis on ethical, transparent and compliant system use. We conclude that system administrators should be involvedmore in research on the use of technology in education and that AI systems used in education need to provide possibilities to sufficiently test the system, including anonymous yet realistic test scenarios and data.}, language = {en} } @unpublished{SimbeckSchauerFernsel, author = {Simbeck, Katharina and Schauer, Sophie and Fernsel, Linda}, title = {The System Admin's Perspective: A Discussion on AI in Education with LMS Admins}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:523-20139}, pages = {10}, abstract = {Many higher education institutions (HEIs) are implementing or reviewing the implementation of predictive Learning Analytics to improve learning processes, identify students at risk or provide personalized learning paths. The responsibility for selecting, reviewing, implementing and supporting those systems falls on system administrators, an under-researched stakeholder group of Artificial Intelligence in higher education. In this paper, we summarize qualitative insights from a workshop with system administrators in German HEIs. We find that the system administrators are highly aware not only of system requirements but also of the needs of various shareholder groups such as institutional leadership, learners and educators and that they put high emphasis on ethical, transparent and compliant system use. We conclude that system administrators should be involved more in research on the use of technology in education and that AI systems used in education need to provide possibilities to sufficiently test the system, including anonymous yet realistic test scenarios and data.}, subject = {Moodle}, language = {en} }