WSV Innovation Projects 2024
Right now, a number of WSV Innovation Projects is up and running. On this page, you can find more information.
- BuddyGPT Project
Project description:
This project aims at strategic integration of AI-driven conversational agents, such as ChatGPT, into learning environments like Canvas. The focus is on enhancing both students' and educators' ability to access reliable, personalized information while aligning with learning objectives and course-specific content. By adopting a buddy system approach, proactively, the system would reach out to students with reminders about upcoming deadlines or key tasks, encouraging better time management and engagement. By linking AI to course materials and incorporating learning theories for optimal information transmission, the project seeks to prevent over-reliance on AI for quick answers, instead promoting self-regulation and deep learning, foster collaboration, reflection and critical thinking. Additionally, it aims to equip both educators and students with AI literacy to ensure ethical and responsible AI use.
Published work:
Sedrakyan, G., Borsci, S., van den Berg, S. M., van Hillegersberg, J., & Veldkamp, B. P. (2024). Design Implications for Next Generation Chatbots with Education 5.0. In International Conference on Advances in Education and Information Technology (pp. 1-12). Singapore: Springer Nature Singapore.
Sedrakyan, G., Borsci, S., Machado, M., Rogetzer, P., & Mes, M. (accepted). Design implications for integrating AI chatbot technology with learning management systems: A study-based analysis on perceived benefits and challenges in higher education. In Proceedings of the International Conference on Artificial Intelligence and Teacher Education.
- genAI Masterclass: a guide to AI-augmented studying
This project aims to develop, pilot, and evaluate a masterclass to enhance students' AI literacy and responsible usage of generative AI (genAI) in their studies, particularly in thesis preparation. The course adopts a blended learning approach, featuring video lectures, tutorials, and self-study materials focusing on developing AI literacy across four key stages: foundational knowledge, pre-application, during application, and post-application of AI agents. These stages guide students from understanding basic AI concepts and ethical considerations to applying AI tools in various academic tasks such as writing, analysis, coding, and more—and to reflecting and adapting their usage patterns. The masterclass aims to foster AI skills that are transferable to future coursework and professional environments. Additional outcomes include creating a library of structured prompts to support thesis preparation.
- Statistics in Motion: An Intra-Active VR Application Enhancing Statistical Understanding for BMS Students
Info coming soon ..