Implementing Machine Learning and Agent-Based Simulation for Predictive Analytics in HES

  • Gabriel Wurzer (Redner*in)
  • Tauböck Shabnam (Redner*in)
  • Markus Reismann (Redner*in)
  • Christian Marschnigg (Redner*in)
  • Sukrit Sharma (Redner*in)
  • Ledermüller, K. (Redner*in)
  • Krakovsky, M. (Redner*in)
  • Spörk, J. (Redner*in)
  • Anna Schöfecker (Redner*in)

Aktivität: Vortrag › Wissenschaftlicher Vortrag (Science-to-Science)

Beschreibung

In the context of curriculum design and semester planning, Higher or Secondary Education Organisations (HES) have been relying on reporting tools such as Online Analytical Processing (OLAP) and Data Mining. With the advent of Machine Learning (ML) and advanced Simulation techniques such as Agent-Based Simulation (ABS), it has also become possible to conduct predictive analytics in the same context. To this end, we are currently implementing a project called “"Predictive Analytics Services for Student Success Management” (PASSt), under the call "Digital and social transformation in higher education" by the Federal Ministry for Education, Science and Research. This paper reports on lessons learned from that project.
Zeitraum30 Aug. 2023 → 1 Sept. 2023
EreignistitelCHER 35th Annual Conference : Higher Education Institutions as Change Agents in Society: Perspectives on Adaptation and Impac
VeranstaltungstypKonferenz
Konferenznummer35
OrtVienna, ÖsterreichAuf Karte anzeigen
BekanntheitsgradInternational