Seminar on Novel Measurement Problems in Social Sciences

We would like to invite you to a new series of seminars organized by the Department of Computational Social Sciences (head: Prof. Artur Pokropek). PAN-Metrics seminars cover the topics of methodology and measurement in the broadly defined social sciences.

The next meeting will be held online on Monday, December 1st at 4:00 pm CET (16:00).

The speaker will be Prof. Okan Bulut (Centre for Research in Applied Measurement and Evaluation, University of Alberta), who will give a presentation entitled: AI in Dialogue: The Promise and Practice of Chatbots in Teacher Professional Development.

Abstract:
The increasing availability of conversational agents has created new opportunities for teacher professional development (PD). In a recent review study, we examined how chatbots have been used in the literature to support teacher training and ongoing development, and how these interventions have been evaluated. Specifically, we focus on two main questions: (a) What are the primary ways chatbots support teacher learning and development interventions? and (b) how are these chatbot-supported training programs assessed? In this talk, I will summarize our findings from existing research, highlighting the various roles chatbots play in providing access to resources, modeling best practices, and offering personalized feedback for teachers. We also
identify common evaluation frameworks used to measure their effectiveness, from self- reported perceptions of usefulness to more formal measures of learning outcomes. The talk will conclude by exploring the untapped potential of chatbots to improve teachers’ assessment literacy, an essential area for effective classroom practice that is often underrepresented in traditional PD models.

Bio:
Okan Bulut, Professor in the Measurement, Evaluation, and Data Science program and a researcher at the Centre for Research in Applied Measurement and Evaluation at the University of Alberta. He teaches courses on computational psychometrics, machine learning, and statistical modeling. He also regularly offers workshops and online courses on data mining, big data modeling, data visualization, and statistical analysis using R, SAS, and Python. His research focuses on the intersection of artificial intelligence (AI), learning analytics, and educational data mining. In particular, he applies AI-driven algorithms and natural language processing to extract insights from complex educational data and to develop personalized assessment and learning tools.

The meeting is scheduled for around one hour.
Please contact us to receive the Zoom link.
We would be grateful if you could send the message further to people you think might be interested in the topic.
With warm regards in the name of the whole Department,
Marek Muszyński

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