Remote plant sensing and phenotyping – an e-learning tool in higher education
| dc.contributor.author | Bethge, Hans | |
| dc.contributor.author | Mählmann, Thomas | |
| dc.contributor.author | Winkelmann, Traud | |
| dc.contributor.author | Rath, Thomas | |
| dc.contributor.editor | Hoffmann, Christa | |
| dc.contributor.editor | Stein, Anthony | |
| dc.contributor.editor | Ruckelshausen, Arno | |
| dc.contributor.editor | Müller, Henning | |
| dc.contributor.editor | Steckel, Thilo | |
| dc.contributor.editor | Floto, Helga | |
| dc.date.accessioned | 2023-02-21T15:13:51Z | |
| dc.date.available | 2023-02-21T15:13:51Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabrück over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers. | en |
| dc.identifier.isbn | 978-3-88579-724-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40245 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | 43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-330 | |
| dc.subject | agriculture | |
| dc.subject | digital competence | |
| dc.subject | e-learning concepts | |
| dc.subject | remote experiments | |
| dc.subject | sensors in teaching | |
| dc.title | Remote plant sensing and phenotyping – an e-learning tool in higher education | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 40 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 29 | |
| gi.conference.date | 13.-14. Februar 2023 | |
| gi.conference.location | Osnabrück |
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