IPN-Kolloquium am 24.04.2023: Improving educational interventions with the help of machine learning and why we need a human in the loop?

Am Montag, 24. April, 14:30 Uhr, trägt im Rahmen des IPN-Kolloquiums auf Einladung der IPN-Abteilung Didaktik der Chemie Frau Prof. Dr. Martina Rau vom Department of Educational Psychology der University of Wisconsin-Madison zum Thema "Improving educational interventions with the help of machine learning and why we need a human in the loop?" vor.

Die Veranstaltung ist öffentlich, sie findet im hybriden Format statt.

Zeit: 14:30 h

Ort: online via Zoom und im Hörsaal des IPN, Olshausenstr. 62

Interessierte außerhalb des IPN erhalten die Einwahldaten zur Veranstaltung auf Anfrage bei PD Dr. Sascha Bernholt: bernholt@leibniz-ipn.de

Abstract: Machine learning can be used to model human learning. This talk will focus on a project that examined a chemistry learning intervention that was found to be suboptimal for weaker students. The project employed machine learning to create a new version of the intervention that proved more effective than the original intervention for this group of students. Methods, results, and limitations of this project will be addressed, including the role of human instructors to make sense of the outcomes of the machine learning approach. The talk will conclude with an outlook to future studies that are needed to further investigate how machine and humans can work together to create more effective instruction.