Remote plant sensing and phenotyping – an e-learning tool in higher education
- 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.
Author: | Hans BethgeORCiD, Thomas Mählmann, Traud WinkelmannORCiD, Thomas RathORCiD |
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Title (English): | Remote plant sensing and phenotyping – an e-learning tool in higher education |
URL: | https://dl.gi.de/server/api/core/bitstreams/0f824529-dd4d-4de5-a7b4-3c7477d39245/content |
ISBN: | 978-3-88579-724-1 |
Parent Title (English): | Informatik in der Land-, Forst- und Ernährungswirtschaft Fokus: Resiliente Agri-Food-Systeme |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2023 |
Release Date: | 2024/03/22 |
Tag: | agriculture; digital competence; e-learning concepts; remote experiments; sensors in teaching |
Page Number: | 12 |
First Page: | 29 |
Last Page: | 40 |
Note: | 43. GIL-Jahrestagung 13.-14. Februar 2023 Osnabrück, Germany |
Faculties: | Fakultät AuL |
DDC classes: | 500 Naturwissenschaften und Mathematik / 500 Naturwissenschaften |
Review Status: | Veröffentlichte Fassung/Verlagsversion |