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

Abstract

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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Titel Combining NLP, speech recognition, and indexing: an AI-based learning assistant for higher education
Medien Conference proceedings. 13th international conference "The future of education"
Verlag DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation
Herausgeber Pixel International Conferences
Heft 4
Band 2023
ISBN 979-12-80225-59-7
ISSN 2384-9509
Verfasser Tobias Schmohl, Kathrin Schelling, Stefanie Go, Carolin Freier, Marianne Hunger, Franziska Hoffmann, Anne-Kathrin Helten, Florian Richter
Veröffentlichungsdatum 30.06.2023
Projekttitel HAnS
Zitation Schmohl, Tobias ; Schelling, Kathrin; Go, Stefanie; Freier, Carolin ; Hunger, Marianne; Hoffmann, Franziska; Helten, Anne-Kathrin; Richter, Florian (2023): Combining NLP, speech recognition, and indexing: an AI-based learning assistant for higher education. Conference proceedings. 13th international conference "The future of education" 2023 (4). DOI: 10.25656/01:27908