Die Macht des Growth Mindset
Zagel, Christian (2024)
IHK Abschlussfeier.
Status quo – Energiewende und Wärmepumpe
Schaub, Michael (2024)
Campus Design Open 2024 – Tag der Bauingenieure.
Healing Architecture: Wie Architektur Heilung unterstützen kann
Ziegler, Jörg; Koppen, Gemma (2024)
Interview für die Marburger Bund Zeitung 2024/76 (5), 12.
Drogenpraxis Drogenpolitik Drogenrecht. Handbuch für Substanzgebrauchende, Fachkräfte in Beratung und Behandlung, Mediziner:innen, Jurist:innen und Politiker:innen.
Stöver, Heino; Hößelbarth, Susann (2024)
Sammelband. 6., vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag 6.
‘Pathfinder-CHD Registry’ A prospective, comprehensive heart failure database of Adults with Congenital Heart Disease
Kaemmerer, Harald; Kohls, Niko; Freilinger, Sebastian (2024)
Poster Presentation 57th Annual Meeting of the Association for European Paediatric and Congenital Cardiology to be held in Porto, Portugal, between 8-11 May 2024..
Peer Reviewed
Gender und Sucht. Wie kann gendersensible Suchtarbeit gelingen?
Stöver, Heino; Hößelbarth, Susann (2024)
Stöver, Heino & Hößelbarth, Susann (Hrsg.) (2024). Drogenpraxis, Drogenpolitik, Drogenrecht. 6. vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag, 129-138.
Harm Reduction – Methoden, Programme und Praktiken. Aktueller Stand und Ausblick
Stöver, Heino; Hößelbarth, Susann (2024)
Stöver, Heino & Hößelbarth, Susann (Hrsg.) (2024). Drogenpraxis, Drogenpolitik, Drogenrecht. 6. vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag, 251-261.
Suchthilfe im Justizvollzug
Stöver, Heino; Hößelbarth, Susann (2024)
Stöver, Heino & Hößelbarth, Susann (Hrsg.) (2024). Drogenpraxis, Drogenpolitik, Drogenrecht. 6. vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag, 444-464.
Soziale Arbeit in der Suchthilfe
Hößelbarth, Susann; Stöver, Heino (2024)
Stöver, Heino & Hößelbarth, Susann (Hrsg.) (2024). Drogenpraxis, Drogenpolitik, Drogenrecht. 6. vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag, 285-302.
Kontaktläden als Basisangebote gesundheitlicher und psychosozialer Unterstützung
Hößelbarth, Susann; Stöver, Heino (2024)
Stöver, Heino & Hößelbarth, Susann (Hrsg.) (2024). Drogenpraxis, Drogenpolitik, Drogenrecht. 6. vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag, 315-327.
Drogenkonsum/-abhängigkeit und Alter
Hößelbarth, Susann; Stöver, Heino (2024)
Stöver, Heino & Hößelbarth, Susann (Hrsg.) (2024). Drogenpraxis, Drogenpolitik, Drogenrecht. 6. vollständig überarbeitete Auflage. Idstein: Fachhochschulverlag, 513-526.
Kann Architektur krank machen? Gesundheit braucht Ästhetik
Kohls, Niko; Heinrich, Michael (2024)
Podcast Hochschule Coburg.
Extracting Metadata from Learning Videos for Ontology-Based Recommender Systems Using Whisper & GPT
Lehmann, Alexander; Landes, Dieter (2024)
Proc. 15th IEEE Global Engineering Education Conference (EDUCON 2024), Kos, Griechenland 2024.
Peer Reviewed
In modern education, individualized learning environments play a vital role by allowing learners to tailor their learning paths based on personal needs, interests, and abilities. Achieving effective individualization relies on dynamic adaptation of the learning path, typically facilitated by recommender systems. These systems offer personalized suggestions, commonly employing content-based or collaborative filtering approaches. However, traditional recommender systems often lack consideration of the semantics of learning elements. To address this limitation, ontology-based recommender systems integrate semantic modeling, establishing additional connections within a domain to enhance precision and context in recommendations. Notably, these systems mitigate the cold start problem and are particularly advantageous in learning environments with limited data. While videos are prevalent in learning platforms, their unstructured nature poses challenges for processing. This paper introduces an innovative approach, leveraging Large Language Models, specifically GPT, to extract metadata from learning videos. The proposed method intelligently augments videos and links them to a domain ontology, enabling the integration of videos into ontology-based recommender systems. The application of this approach is demonstrated through a case study in software engineering education, showcasing its potential to enhance individualized learning experiences in specific domains. The presented method offers an automated alternative to manual video processing, aligning with the evolving landscape of education technology.
Combining Data- and Knowledge-Driven AI with Didactics for Individualized Learning Recommendations
Landes, Dieter; Sedelmaier, Yvonne; Böck, Felix; Lehmann, Alexander; Fraas, Melanie; Janusch, Sebastian (2024)
Landes, Dieter; Sedelmaier, Yvonne; Böck, Felix; Lehmann, Alexander; Fraas, Melanie...
Proc. 15th IEEE Global Engineering Education Conference (EDUCON 2024), Kos, Griechenland 2024.
Peer Reviewed
Students in higher education tend to become increasingly heterogeneous groups of learners. This is due to different levels of prior knowledge or competences, diverse
learning styles, differing affinity to (digital) media, and other factors. Learner-centred education needs to cope with that heterogeneity in order to make specific learning offers to the
individual learner. This is difficult in physical classes where the coaching effort cannot be increased without limitation. This paper presents an individualized digital learning environment, iLE, that is intended to be used as an additional learning aid that supplements physical classes. iLE provides recommendations of learning material such as learning videos targeted to the specific needs of individual learners. The paper presents the technical approach behind iLE, in particular a combination of data- and knowledge-driven artificial intelligence techniques, as well as the didactical underpinning of iLE.
Multi-Pedestrian Tracking and Map-based Intention Estimation for Autonomous Driving Scenario
Dehghani, Ali; Patiño Studencki, Lucila (2024)
10th. International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) 2024.
Peer Reviewed
Die neue Wärmepumpen-Generation – Teil 1: Kältemittel, Effizienz und Bauweise
Schaub, Michael (2024)
HLH 75 (05), 22-25.
DOI: 10.37544/1436-5103-2024-05-22
Gesundheitstag für Lehrkräfte
Kohls, Niko (2024)
Organisation.
Second Workshop on AI for AI Education (AI4AILearning)
Kohlhase, Michael; Leidner, Jochen L.; Schmid, Ute; Wolter, Diedrich (2024)
held at KI 2024: 47. Deutsche Jahrestagung für Künstliche Intelligenz, Würzburg, 23.09. - 27.09.2024.
Peer Reviewed
Die neue Wärmepumpen-Generation: Propan oder R32?
Schaub, Michael (2024)
7. Internationale Fachtagung Bauphysik & Gebäudetechnik (BGT 2024), Friedrichshafen, 365-375.
Multidimensional AI-based Health-Assistant
Blümlein, Markus; Leidner, Jochen L. (2024)
Poster, presented at Networking for Research – German Universities of Applied Sciences and Researchers from Scotland (UDIF-HAW), DFG (German Research Foundation) and SULSA (Scottish Universities Life Sciences Alliances), online, 2024-04-24.
Referat Forschungs- und Drittmittelservice (FDS)
Hochschule Coburg
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Ansprechperson für Publikationsverzeichnis:
Monika SchnabelForschungsreferentin, EU-Referentin
T +49 9561 317 8062
monika.schnabel[at]hs-coburg.de