---
_id: '11405'
abstract:
- lang: eng
text: 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.
- lang: ger
text: 'In diesem Beitrag wird die laufende Entwicklung von HAnS (Hochschul-Assistenz-System)
vorgestellt, einem Intelligenten Tutoring-System (ITS), das selbstgesteuertes
digitales Lernen in der Hochschulbildung unterstützen soll. HAnS wurde von zwölf
deutschen Hochschulen und Forschungsinstituten initiiert und wird 2021-2025 mit
dem Ziel entwickelt, künstliche Intelligenz (KI) und Big Data im akademischen
Umfeld zu nutzen, um technologiebasiertes Lernen zu verbessern. Das System nutzt
KI für die Spracherkennung und die Indizierung vorhandener Lernressourcen und
ermöglicht es den Nutzern, diese Materialien auf der Grundlage verschiedener Parameter
zu suchen und zusammenzustellen. Hier geben wir einen Überblick über das Projekt
und zeigen, wie iterative Design- und Entwicklungsprozesse zu innovativer Bildungsforschung
auf dem sich entwickelnden Gebiet der KI-basierten ITS in der Hochschulbildung
beitragen. Ungeachtet des Potenzials von HAnS gehen wir auch auf die Herausforderungen
ein, die mit der Sicherstellung eines geeigneten Datensatzes für das Training
der KI, der Verfeinerung komplexer Algorithmen für die Personalisierung und der
Wahrung des Datenschutzes verbunden sind. '
author:
- first_name: Tobias
full_name: Schmohl, Tobias
id: '71782'
last_name: Schmohl
orcid: https://orcid.org/0000-0002-7043-5582
- first_name: Kathrin
full_name: Schelling, Kathrin
id: '81212'
last_name: Schelling
- first_name: Stefanie
full_name: Go, Stefanie
id: '86007'
last_name: Go
- first_name: Carolin
full_name: Freier, Carolin
last_name: Freier
- first_name: Marianne
full_name: Hunger, Marianne
last_name: Hunger
- first_name: Franziska
full_name: Hoffmann, Franziska
last_name: Hoffmann
- first_name: Anne-Kathrin
full_name: Helten, Anne-Kathrin
last_name: Helten
- first_name: Florian
full_name: Richter, Florian
last_name: Richter
citation:
ama: Schmohl T, Schelling K, Go S, et al. Combining NLP, Speech Recognition,
and Indexing. An AI-Based Learning Assistant for Higher Education. ?; 2023:4.
doi:10.25656/01:27908
apa: Schmohl, T., Schelling, K., Go, S., Freier, C., Hunger, M., Hoffmann, F., Helten,
A.-K., & Richter, F. (2023). Combining NLP, speech recognition, and indexing.
An AI-based learning assistant for higher education. In Conference proceedings.
13th international conference “The future of education”. Hybrid edition, 29-30
June 2023. Bologna (p. 4). ? https://doi.org/10.25656/01:27908
bjps: Schmohl T et al. (2023) Combining NLP, Speech Recognition,
and Indexing. An AI-Based Learning Assistant for Higher Education. ?
chicago: Schmohl, Tobias, Kathrin Schelling, Stefanie Go, Carolin Freier, Marianne
Hunger, Franziska Hoffmann, Anne-Kathrin Helten, and Florian Richter. Combining
NLP, Speech Recognition, and Indexing. An AI-Based Learning Assistant for Higher
Education. Conference Proceedings. 13th International Conference “The Future
of Education”. Hybrid Edition, 29-30 June 2023. Bologna . ?, 2023. https://doi.org/10.25656/01:27908.
chicago-de: Schmohl, Tobias, Kathrin Schelling, Stefanie Go, Carolin Freier, Marianne
Hunger, Franziska Hoffmann, Anne-Kathrin Helten und Florian Richter. 2023. Combining
NLP, speech recognition, and indexing. An AI-based learning assistant for higher
education. Conference proceedings. 13th international conference „The future
of education“. Hybrid edition, 29-30 June 2023. Bologna . ? doi:10.25656/01:27908,
.
din1505-2-1: 'Schmohl, Tobias ; Schelling, Kathrin ; Go,
Stefanie ; Freier, Carolin
; Hunger, Marianne ; Hoffmann,
Franziska ; Helten, Anne-Kathrin
; Richter, Florian: Combining
NLP, speech recognition, and indexing. An AI-based learning assistant for higher
education : ?, 2023'
havard: T. Schmohl, K. Schelling, S. Go, C. Freier, M. Hunger, F. Hoffmann, A.-K.
Helten, F. Richter, Combining NLP, speech recognition, and indexing. An AI-based
learning assistant for higher education, ?, 2023.
ieee: 'T. Schmohl et al., Combining NLP, speech recognition, and indexing.
An AI-based learning assistant for higher education. ?, 2023, p. 4. doi: 10.25656/01:27908.'
mla: Schmohl, Tobias, et al. “Combining NLP, Speech Recognition, and Indexing. An
AI-Based Learning Assistant for Higher Education.” Conference Proceedings.
13th International Conference “The Future of Education”. Hybrid Edition, 29-30
June 2023. Bologna , ?, 2023, p. 4, https://doi.org/10.25656/01:27908.
short: T. Schmohl, K. Schelling, S. Go, C. Freier, M. Hunger, F. Hoffmann, A.-K.
Helten, F. Richter, Combining NLP, Speech Recognition, and Indexing. An AI-Based
Learning Assistant for Higher Education, ?, 2023.
ufg: 'Schmohl, Tobias u. a.: Combining NLP, speech recognition, and indexing.
An AI-based learning assistant for higher education, o. O. 2023.'
van: Schmohl T, Schelling K, Go S, Freier C, Hunger M, Hoffmann F, et al. Combining
NLP, speech recognition, and indexing. An AI-based learning assistant for higher
education. Conference proceedings. 13th international conference “The future of
education”. Hybrid edition, 29-30 June 2023. Bologna . ?; 2023.
conference:
end_date: 2023-06-30
location: Bologna
name: 13th international conference "The future of education".
start_date: 2023-06-29
date_created: 2024-04-30T18:22:29Z
date_updated: 2024-06-03T12:43:50Z
ddc:
- '000'
department:
- _id: DEP1200
- _id: DEP2000
doi: 10.25656/01:27908
has_accepted_license: '1'
keyword:
- Künstliche Intelligenz
- Intelligentes Tutorsystem
- Adaptiver Unterricht
- Lernen
- Lehrmaterial
- Lernmaterial
- Digitale Medien
- Hochschule
- Hochschulbildung
- Deutschland
- Selbst gesteuertes Lernen
- Technologieunterstütztes Lernen
language:
- iso: eng
page: '4'
publication: 'Conference proceedings. 13th international conference "The future of
education". Hybrid edition, 29-30 June 2023. Bologna '
publication_identifier:
isbn:
- 979-12-80225-59-7
issn:
- 2384-9509
publication_status: published
publisher: '?'
quality_controlled: '1'
status: public
title: Combining NLP, speech recognition, and indexing. An AI-based learning assistant
for higher education
type: conference_editor_article
user_id: '83781'
year: '2023'
...
---
_id: '12796'
abstract:
- lang: eng
text: 'This Design-Based Research (DBR) project aims to develop an intelligent tutoring
system (ITS) for higher education. The system will collect teaching and learning
materials in audio and video formats (e.g., podcasts, lecture recordings, screencasts,
and explainer videos), and store them on a learning experience platform (LXP).
Then, the ITS will process them with the help of speech recognition to gain data
which, in turn, will be used to power further applications: Using artificial intelligence
(AI), the platform will allow users to search the materials, automatically compiling
them according to criteria like lesson subject, language, medium, or required
prior knowledge. By the end of the last DBR cycle, the ITS will also provide a
more active form of support: It will automatically generate exercises based on
predefined patterns and teaching materials, thus allowing learners to check up
on their learning progress autonomously. In order to closely match the ITS''s
features to the needs and learning habits of students in higher education, the
development of this AI-based tutoring system is accompanied by an interdisciplinary
team which will continuously re-evaluate and adapt the concept over the course
of several DBR cycles. Our goal is to derive implications for the system''s technical
development by collecting and evaluating educational research data (mixed methods
design; primary and secondary research methods).'
author:
- first_name: Tobias
full_name: Schmohl, Tobias
id: '71782'
last_name: Schmohl
orcid: https://orcid.org/0000-0002-7043-5582
- first_name: Kathrin
full_name: Schelling, Kathrin
id: '81212'
last_name: Schelling
- first_name: Stefanie
full_name: Go, Stefanie
id: '86007'
last_name: Go
- first_name: Katrin Jana
full_name: Thaler, Katrin Jana
id: '74178'
last_name: Thaler
- first_name: Alice
full_name: Watanabe, Alice
id: '76856'
last_name: Watanabe
citation:
ama: 'Schmohl T, Schelling K, Go S, Thaler KJ, Watanabe A. Development, Implementation
and Acceptance of an AI-Based Tutoring System: A Research-Led Methodology.
(Cukurova M, Rummel N, Gillet D, McLaren B, Uhomoibhi J, eds.). SCITEPRESS - Science
and Technology Publications; 2022:179-186. doi:10.5220/0011068500003182'
apa: 'Schmohl, T., Schelling, K., Go, S., Thaler, K. J., & Watanabe, A. (2022).
Development, Implementation and Acceptance of an AI-based Tutoring System: A Research-Led
Methodology. In M. Cukurova, N. Rummel, D. Gillet, B. McLaren, & J. Uhomoibhi
(Eds.), Proceedings of the 14th International Conference on Computer Supported
Education - Vol. 2 (pp. 179–186). SCITEPRESS - Science and Technology Publications.
https://doi.org/10.5220/0011068500003182'
bjps: 'Schmohl T et al. (2022) Development, Implementation and
Acceptance of an AI-Based Tutoring System: A Research-Led Methodology, Cukurova
M et al. (eds). SCITEPRESS - Science and Technology Publications.'
chicago: 'Schmohl, Tobias, Kathrin Schelling, Stefanie Go, Katrin Jana Thaler, and
Alice Watanabe. Development, Implementation and Acceptance of an AI-Based Tutoring
System: A Research-Led Methodology. Edited by Mutlu Cukurova, Nikol Rummel,
Denis Gillet, Bruce McLaren, and James Uhomoibhi. Proceedings of the 14th
International Conference on Computer Supported Education - Vol. 2. SCITEPRESS
- Science and Technology Publications, 2022. https://doi.org/10.5220/0011068500003182.'
chicago-de: 'Schmohl, Tobias, Kathrin Schelling, Stefanie Go, Katrin Jana Thaler
und Alice Watanabe. 2022. Development, Implementation and Acceptance of an
AI-based Tutoring System: A Research-Led Methodology. Hg. von Mutlu Cukurova,
Nikol Rummel, Denis Gillet, Bruce McLaren, und James Uhomoibhi. Proceedings
of the 14th International Conference on Computer Supported Education - Vol. 2.
SCITEPRESS - Science and Technology Publications. doi:10.5220/0011068500003182,
.'
din1505-2-1: 'Schmohl, Tobias ; Schelling, Kathrin ; Go,
Stefanie ; Thaler, Katrin Jana
; Watanabe, Alice ; Cukurova,
M. ; Rummel, N. ; Gillet,
D. ; McLaren, B. ; Uhomoibhi, J. (Hrsg.): Development,
Implementation and Acceptance of an AI-based Tutoring System: A Research-Led Methodology :
SCITEPRESS - Science and Technology Publications, 2022'
havard: 'T. Schmohl, K. Schelling, S. Go, K.J. Thaler, A. Watanabe, Development,
Implementation and Acceptance of an AI-based Tutoring System: A Research-Led Methodology,
SCITEPRESS - Science and Technology Publications, 2022.'
ieee: 'T. Schmohl, K. Schelling, S. Go, K. J. Thaler, and A. Watanabe, Development,
Implementation and Acceptance of an AI-based Tutoring System: A Research-Led Methodology.
SCITEPRESS - Science and Technology Publications, 2022, pp. 179–186. doi: 10.5220/0011068500003182.'
mla: 'Schmohl, Tobias, et al. “Development, Implementation and Acceptance of an
AI-Based Tutoring System: A Research-Led Methodology.” Proceedings of the 14th
International Conference on Computer Supported Education - Vol. 2, edited
by Mutlu Cukurova et al., SCITEPRESS - Science and Technology Publications, 2022,
pp. 179–86, https://doi.org/10.5220/0011068500003182.'
short: 'T. Schmohl, K. Schelling, S. Go, K.J. Thaler, A. Watanabe, Development,
Implementation and Acceptance of an AI-Based Tutoring System: A Research-Led Methodology,
SCITEPRESS - Science and Technology Publications, 2022.'
ufg: 'Schmohl, Tobias u. a.: Development, Implementation and Acceptance of
an AI-based Tutoring System: A Research-Led Methodology, hg. von Cukurova, Mutlu
u. a., o. O. 2022.'
van: 'Schmohl T, Schelling K, Go S, Thaler KJ, Watanabe A. Development, Implementation
and Acceptance of an AI-based Tutoring System: A Research-Led Methodology. Cukurova
M, Rummel N, Gillet D, McLaren B, Uhomoibhi J, editors. Proceedings of the 14th
International Conference on Computer Supported Education - Vol. 2. SCITEPRESS
- Science and Technology Publications; 2022.'
conference:
end_date: 2022-04-24
location: Online
name: 14th International Conference on Computer Supported Education (CSEDU)
start_date: 2022-04-22
date_created: 2025-04-15T12:23:55Z
date_updated: 2025-06-26T13:40:15Z
doi: 10.5220/0011068500003182
editor:
- first_name: 'Mutlu '
full_name: 'Cukurova, Mutlu '
last_name: Cukurova
- first_name: 'Nikol '
full_name: 'Rummel, Nikol '
last_name: Rummel
- first_name: 'Denis '
full_name: 'Gillet, Denis '
last_name: Gillet
- first_name: 'Bruce '
full_name: 'McLaren, Bruce '
last_name: McLaren
- first_name: 'James '
full_name: 'Uhomoibhi, James '
last_name: Uhomoibhi
keyword:
- Artificial Intelligence in Higher Education
- Design-based Research
- Intelligent Tutoring System
- Participatory Technology Design
- Scoping Review
language:
- iso: eng
page: 179-186
publication: Proceedings of the 14th International Conference on Computer Supported
Education - Vol. 2
publication_identifier:
eisbn:
- 978-989-758-562-3
publication_status: published
publisher: SCITEPRESS - Science and Technology Publications
status: public
title: 'Development, Implementation and Acceptance of an AI-based Tutoring System:
A Research-Led Methodology'
type: conference_editor_article
user_id: '83781'
year: '2022'
...