TY  - CHAP
U1  - Buchbeitrag
A1  - Helten, Anne-Kathrin
A1  - Schmohl, Tobias
A1  - Schelling, Kathrin
A1  - Go, Stefanie
A1  - Freier, Carolin
A1  - Hunger, Marianne
A1  - Hoffmann, Franziska
A1  - Richter, Florian
T1  - Combining NLP, Speech Recognition, and Indexing
BT  - an AI-based Learning Assistant for Higher Education
T2  - Conference proceedings. 13th international conference "The future of education". Hybrid edition, 29-30 June 2023
N2  - 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.
KW  - Hochschuldidaktik
KW  - Selbstgesteuertes Lernen
KW  - Pädagogik , Digitalisierung
KW  - Künstliche Intelligenz
Y1  - 2023
U6  - https://doi.org/10.25656/01:27908
DO  - https://doi.org/10.25656/01:27908
SP  - 4 Seiten
S1  - 4 Seiten
PB  - Filodiritto Editore
CY  - Bologna
ER  -