Ole Grasse, M.Sc.
Adresse
Technische Universität Hamburg
Institut für Maritime Logistik
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg
Kontaktdaten
Büro: Gebäude D Raum 5.004
Tel.: +49 40 42878 4009
E-Mail: ole.grasse(at)tuhh(dot)de
ORCiD: 0000-0003-1982-9436
Forschungsschwerpunkte
- Innovationen und Digitalisierung im Hafen
- Hafeninterner Transport
- Entwicklung und Digitalisierung der maritimen Lehre
Veröffentlichungen (Auszug)
2024
| [182456] |
| Title: Foundations for complete exercise generation. <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em> |
| Written by: Schmidt, Deniz and Uzulis, Max Vincent and Kersten, Niklas and Grasse, Ole and Hinckeldeyn, Johannes and Kreutzfeldt, Jochen |
| in: <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em>. (2022). |
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| Address: Side, Turkey |
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| URL: http://hdl.handle.net/11420/14529 |
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Abstract: This paper introduces a new approach to exercise generation for university courses, that aims for high domain coverage, variability as well as adaptability. For this, we utilize a domain-specific language (DSL) which allows the creation of models describing subject matter. These models are further aggregated with a topic-oriented representation of a course and serve as the basis for an exercise generator, which then uses various templates to process different types of knowledge into different types of exercises. This novel approach is initially developed and tested by applying it to two engineering-related university courses
2023
| [182456] |
| Title: Foundations for complete exercise generation. <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em> |
| Written by: Schmidt, Deniz and Uzulis, Max Vincent and Kersten, Niklas and Grasse, Ole and Hinckeldeyn, Johannes and Kreutzfeldt, Jochen |
| in: <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em>. (2022). |
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| Address: Side, Turkey |
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| URL: http://hdl.handle.net/11420/14529 |
| ARXIVID: |
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Note:
Abstract: This paper introduces a new approach to exercise generation for university courses, that aims for high domain coverage, variability as well as adaptability. For this, we utilize a domain-specific language (DSL) which allows the creation of models describing subject matter. These models are further aggregated with a topic-oriented representation of a course and serve as the basis for an exercise generator, which then uses various templates to process different types of knowledge into different types of exercises. This novel approach is initially developed and tested by applying it to two engineering-related university courses
2022
| [182456] |
| Title: Foundations for complete exercise generation. <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em> |
| Written by: Schmidt, Deniz and Uzulis, Max Vincent and Kersten, Niklas and Grasse, Ole and Hinckeldeyn, Johannes and Kreutzfeldt, Jochen |
| in: <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em>. (2022). |
| Volume: Number: |
| on pages: |
| Chapter: |
| Editor: |
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| Address: Side, Turkey |
| Edition: |
| ISBN: |
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| DOI: |
| URL: http://hdl.handle.net/11420/14529 |
| ARXIVID: |
| PMID: |
Note:
Abstract: This paper introduces a new approach to exercise generation for university courses, that aims for high domain coverage, variability as well as adaptability. For this, we utilize a domain-specific language (DSL) which allows the creation of models describing subject matter. These models are further aggregated with a topic-oriented representation of a course and serve as the basis for an exercise generator, which then uses various templates to process different types of knowledge into different types of exercises. This novel approach is initially developed and tested by applying it to two engineering-related university courses
2021
| [182456] |
| Title: Foundations for complete exercise generation. <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em> |
| Written by: Schmidt, Deniz and Uzulis, Max Vincent and Kersten, Niklas and Grasse, Ole and Hinckeldeyn, Johannes and Kreutzfeldt, Jochen |
| in: <em>2022 20th International Conference on Information Technology Based Higher Education and Training (ITHET)</em>. (2022). |
| Volume: Number: |
| on pages: |
| Chapter: |
| Editor: |
| Publisher: |
| Series: |
| Address: Side, Turkey |
| Edition: |
| ISBN: |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: |
| URL: http://hdl.handle.net/11420/14529 |
| ARXIVID: |
| PMID: |
Note:
Abstract: This paper introduces a new approach to exercise generation for university courses, that aims for high domain coverage, variability as well as adaptability. For this, we utilize a domain-specific language (DSL) which allows the creation of models describing subject matter. These models are further aggregated with a topic-oriented representation of a course and serve as the basis for an exercise generator, which then uses various templates to process different types of knowledge into different types of exercises. This novel approach is initially developed and tested by applying it to two engineering-related university courses