TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bethge, Hans
A1  - Mählmann, Thomas
A1  - Winkelmann, Traud
A1  - Rath, Thomas
T1  - Remote plant sensing and phenotyping – an e-learning tool  in higher education
T2  - Informatik in der Land-, Forst- und  Ernährungswirtschaft  Fokus:  Resiliente Agri-Food-Systeme
N2  - 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.
KW  - agriculture
KW  - digital competence
KW  - e-learning concepts
KW  - remote experiments
KW  - sensors in  teaching
Y1  - 2023
UR  - https://dl.gi.de/server/api/core/bitstreams/0f824529-dd4d-4de5-a7b4-3c7477d39245/content
SN  - 978-3-88579-724-1
SB  - 978-3-88579-724-1
N1  - 43. GIL-Jahrestagung 13.-14. Februar 2023 Osnabrück, Germany
SP  - 29
EP  - 40
S1  - 12
ER  -