| 2025 | ||
| Sunday, December 14th | ||
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A Construal-Level Approach to Optimizing Reflection Prompts for Self-Regulated Learning Guoting Kong, National University of Singapore
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| 12:00 AM |
Adopt, Adapt, Transform: AI Integration in Customer Feedback Management Dzmitry Katsiuba, University of Zurich
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| 12:00 AM |
Data Literacy Development in Hackathons: An Activity Theory Perspective Janaina Aniceto, Université Laval
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| 12:00 AM |
Anna Wenzel, TU Dortmund University
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| 12:00 AM |
Empowering Employees: Designing a Training Concept for GenAI Competence Anna Schaetzle, Technical University of Darmstadt
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| 12:00 AM |
Enhancing Online Learning through Time-sync Comment: A Knowledge-relevant Perspective Tianyi Ma, University of Science and Technology of China
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| 12:00 AM |
Fostering Divergent Thinking via Generative AI: The Role of Questioning-Based Learning Runnan Chen, University of Science and Technology of China
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| 12:00 AM |
Generative AI in Education: A Review of Applications, Impacts, and Future Research Directions Yang Liu, Xi'an Jiaotong University
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| 12:00 AM |
Integrating Software Testing into the Curriculum: Challenges and Solutions Based on the DO-ID Model Christine Jokisch, University of Goettingen
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| 12:00 AM |
Leapfrogging Ahead with Generative AI Daniel E. O’Leary, University of Southern California
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| 12:00 AM |
Sarbottam Bhagat, University of Wisconsin - Eau Claire
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| 12:00 AM |
Personalized Answer Generation Based on Individual Knowledge Background Using Large Language Model Bei Jin, Fudan University
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| 12:00 AM |
Studying the GenAI’s Impact on Learning and Critical Thinking: A Multi-Site Field Experiment Isabel Ramos, University of Minho
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| 12:00 AM |
Nadia Faisal, Federation University
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| 12:00 AM |
Towards Design Principles of Lecturer Dashboards for Reflective Writing Léane Wettstein, Bern University of Applied Sciences
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| 12:00 AM |
Lukas Florian Bossler, University of Hagen
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Track Chairs
Mareike Schoop, Ph.D., University of Hohenheim
Heikki Topi, Ph.D., Bentley University
Xue Yang, Ph.D., Nanjing University
Track Description
Emerging technologies create new pedagogical opportunities and challenges; they enable innovative uses of digital learning environments and technologies at educational institutions and beyond. Rapidly advancing capabilities in domains such as data analytics, cloud computing, edge, and mobile computing, as well as machine learning, predictive analytics, and other applications of artificial intelligence, offer the opportunity to change not only what we teach (curriculum) but how we teach (pedagogy). Following several years of the COVID-19 pandemic and its aftermath, many institutions—having expanded their educational portfolios to include new online offerings—are now adjusting back to a post-pandemic reality. They seek to strike the right balance between traditional, online, and hybrid learning scenarios that offer viable options for different learning contexts. The Digital Learning and IS Curricula track provides IS scholars with an opportunity to present and exchange conceptual ideas, implementations, and empirical findings regarding curriculum, pedagogy, learning environments, and pedagogical innovations via the use of technologies to improve teaching and learning in educational institutions and beyond.