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Bayreuth Lectures

Die Universität Bayreuth bietet eine neue Veranstaltungsreihe an: die Bayreuth Lectures. Sie ist Teil des neuen Konzepts des Studium Generale und richtet sich sowohl an Studierende als auch an die gesamte Hochschulöffentlichkeit. Die Bayreuth Lectures fokussieren aktuelle wissenschaftliche Themen aus den Bereichen Nachhaltigkeit, Wissenschaftstheorie, Digitale Welt, Gender & Diversity sowie Entrepreneurship & Innovation. Die Referentinnen und Referenten kommen auf Einladung von Bayreuther Forschenden an die Uni Bayreuth.

Kommende Termine

Creating Inclusive Learning Environments for Student Success & Self-Regulated Learning Patterns in Chatbot-Powered Environments

The Bayreuth Lecture consists of two talks:

Talk 1: Belonging by Design: Creating Inclusive Learning Environments for Student Success in a Digital Age (Monday, 19 October 2026, 18:15 - 19:45, Building NW II, Room H 18)

Talk 2: Uncovering Self-Regulated Learning Patterns in Chatbot-Powered Environments Through a Process Mining Lens (Monday, 26 October 2026, 18:15 - 19:45, Building NW II, Room H 18)

Speaker: A/Prof Antonette Mendoza (University of Melbourne, Australia)

Abstracts

Talk 1:
A sense of belonging is a key driver of student engagement, wellbeing, retention, and academic success in higher education. As blended learning becomes increasingly embedded in contemporary teaching practice, educators face an important challenge: how can learning experiences be intentionally designed so that all students feel connected, included, and valued?
Drawing on a multi-year research program informed by student voices, a systematic review of the literature, and insights from experienced higher education educators, this presentation explores how curriculum design can foster belonging in blended learning environments. Participants will be introduced to an evidence-informed framework and practical strategies that strengthen student connection, participation, and engagement across diverse learning contexts.
More importantly, this session offers a provocation for educators. As higher education continues to evolve in an increasingly digital and AI-enabled landscape, designing for belonging may be one of the most powerful decisions we make for student success. The challenge is no longer simply how to teach effectively, but how to intentionally design learning experiences in which every student feels seen, valued, connected, and capable of success. This presentation invites educators to reflect on their own practice and consider what it truly means to design for belonging in today's digital learning environment.

Talk 2:
As generative AI and chatbots become increasingly embedded in higher education, educators are grappling with a fundamental question: what happens when students turn to AI as a learning companion? While much attention has focused on what students use AI for, far less is known about how AI shapes the way they learn.
This presentation explores the intersection of self-regulated learning (SRL), artificial intelligence, and learning analytics through the lens of process mining. Drawing on a study of student interactions within a chatbot-powered learning environment, the research examines how learners plan, monitor, and adapt their learning strategies while engaging with AI-supported tools. By analyzing learners' behavioral data, the study uncovers distinct patterns of self-regulation, providing new insights into how students navigate learning in AI-enabled environments. The session highlights how process mining, as an approach, can be used to reveal learning behaviors that are often invisible through traditional surveys and self-report methods.
Participants will gain insights into the opportunities and challenges that AI presents for supporting learner autonomy, engagement, and academic success. More importantly, this presentation offers a provocation for educators and researchers. As AI becomes an increasingly common learning companion, understanding how students learn with AI may be just as important as understanding what they learn. The findings invite us to reconsider how we design learning experiences that not only leverage AI effectively but also cultivate the self-regulated learning capabilities essential for success in an increasingly AI-enabled world.

Vergangene Termine

Studium Generale an der Uni Bayreuth

Über den eigenen fachlichen Bereich hinausblicken: Dieses Ziel verfolgt die Universität Bayreuth mit ihrem Konzept des Studium Generale. Die Studierenden sollen ihre Allgemeinbildung erweitern, interdisziplinär arbeiten, vielfältige Einblicke außerhalb ihres Fachbereichs erhalten und berufsrelevante Fähigkeiten außerhalb des regulären Studienprogramms gewinnen. Das Studium Generale richtet sich sowohl an Bachelor- als auch Master-Studierende. Es setzt sich aus drei Modulbereichen zusammen und die Studierenden können Leistungspunkte erwerben.

Modulbereich A (5 ECTS): A.1 Bayreuth Lectures + A.2 Begleitformat
Modulbereich B (5 ECTS): Begleitseminar
Modulbereich C (5 ECTS): Lehrveranstaltung zum Themenbereich

Bayreuth Lectures

Kommende Termine

Creating Inclusive Learning Environments for Student Success & Self-Regulated Learning Patterns in Chatbot-Powered Environments

Vergangene Termine

Studium Generale ​an der Uni Bayreuth

Studium Generale an der Uni Bayreuth