Combining NLP, speech recognition, and indexing: an AI-based learning assistant for higher education

  • This paper presents the ongoing development of HAnS (Hochschul-Assistenz-System), an Intelligent Tutoring System (ITS) designed to support self-directed digital learning in higher education. Initiated by twelve collaborating German universities and research institutes, HAnS is developed 2021–2025 with the goal of utilizing artificial intelligence (AI) and Big Data in academic settings to enhance technology-based learning. The system employs AI for speech recognition and the indexing of existing learning resources, enabling users to search and compile these materials based on various parameters. Here, we provide an overview of the project, showcasing how iterative design and development processes contribute to innovative educational research in the evolving field of AI-based ITS in higher education. Notwithstanding the potential of HAnS, we also deliberate upon the challenges associated with ensuring a suitable dataset for training the AI, refining complex algorithms for personalization, and maintaining data privacy.

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Author:Carolin FreierORCiD, Tobias Schmohl, Katrin Schelling, Stefanie Go, Marianne Hunger, Franziska Hofmann, Anne-Katrin Helten, Florian Richter
URL / DOI:https://conference.pixel-online.net/files/foe/ed0013/FP/3516-CDEV5940-FP-FOE13.pdf
Document Type:conference proceeding (article)
Language:German
Release Date:2025/02/05
Tag:artificial intelligence in education (AIED), teaching/learning materials, intelligent tutoring system (ITS), adaptive learning, digital education.
Pagenumber:57-60
Konferenzangabe:The 6th Future of Education 2023 06th <07 Juli ; Kuala Lumpur, Malaysia>
institutes:Fakultät Sozialwissenschaften
Zentrum für Künstliche Intelligenz (KIZ)
Research Themes:Digitalisierung & Künstliche Intelligenz
Licence (German):Keine Lizenz - Deutsches Urheberrecht gilt
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