[{"data":1,"prerenderedAt":63},["ShallowReactive",2],{"article-2024\u002Feduclare-2024":3},{"id":4,"title":5,"authors":6,"body":23,"date":48,"description":29,"extension":49,"image":50,"meta":51,"navigation":52,"path":53,"related_works":54,"seo":58,"sitemap":59,"stem":60,"subtitle":61,"__hash__":62},"articles\u002Farticles\u002F2024\u002Feduclare-2024.md","Paper Presented at HICSS 2026, Maui, Hawaii, USA",[7,10,15,20],{"name":8,"blurb":9},"Sabine Nagel, M.Sc.","Sabine Nagel is a research assistant at the Process Science research group at the University of Koblenz.",{"name":11,"blurb":12,"src":13,"link":14},"Anna Wolters, M.Sc.","Anna is a research assistant at the EoTlab. Her research interests include pedagogical conversational agents and the use of AI in Higher Education.","\u002Fpersons\u002Fanna-wolters.jpg","https:\u002F\u002Feotlab.org\u002Fpersons\u002Fanna-wolters",{"name":16,"blurb":17,"src":18,"link":19},"Prof. Dr. Dennis Riehle","Dennis Riehle leads the EoTlab at the University of Koblenz. His current research interests include Data Science, Internet-of-Things and Smart Sensors.","\u002Fpersons\u002Fdennis-riehle.jpg","https:\u002F\u002Feotlab.org\u002Fpersons\u002Fdennis-riehle",{"name":21,"blurb":22},"Prof. Dr. Patrick Delfmann","Patrick Delfmann leads the Process Science research group at the University of Koblenz.",{"type":24,"value":25,"toc":43},"minimark",[26,30,35,40],[27,28,29],"p",{},"Sabine Nagel (Process Science Research Group at University of Koblenz) presented a paper from our EduClare project at Hawaii International Conference on System Sciences (HICSS) 2026.",[31,32,34],"h1",{"id":33},"paper-abstract","Paper Abstract",[36,37,39],"h2",{"id":38},"integrating-an-intelligent-tutoring-chatbot-into-higher-education-the-case-of-teaching-declarative-process-modeling-through-generative-ai","Integrating an Intelligent Tutoring Chatbot into Higher Education: The Case of Teaching Declarative Process Modeling through Generative AI",[27,41,42],{},"This paper presents a case study on the classroom use of an intelligent tutoring chatbot designed to support teaching Declarative Process Modeling within a master’s-level course. Replacing traditional lectures, the chatbot delivered interactive, task-based modules with real-time feedback and conversational support. Across three design iterations, we collected and analyzed student feedback, system usage data, and survey responses to examine how learners engaged with the chatbot, what challenges they encountered, and how their input informed system refinement. Students used the chatbot to self-regulate their learning, frequently asked clarifying questions, and responded critically to feedback. Their contributions shaped improvements in instructional clarity and usability. The findings demonstrate the potential of Generative AI to enable adaptive, student-centered learning experiences in higher education when thoughtfully integrated into course design.",{"title":44,"searchDepth":45,"depth":45,"links":46},"",2,[47],{"id":38,"depth":45,"text":39},"2026-01-20","md","hicss-2026\u002Fhicss-2026.jpeg",{},true,"\u002Farticles\u002F2024\u002Feduclare-2024",[55],{"name":56,"link":57},"Nagel, S., Wolters, A., Riehle, D.M., Delfmann, P. (2026). Integrating an Intelligent Tutoring Chatbot into Higher Education: The Case of Teaching Declarative Process Modeling through Generative AI. Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA.","https:\u002F\u002Fhdl.handle.net\u002F10125\u002F111994",{"title":5,"description":29},{"loc":53},"articles\u002F2024\u002Feduclare-2024",null,"YiTlHB0FDmue1DzoaamIgyrgSlLALlD_mkaIUC8paxs",1775748806738]