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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.

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Metadaten
Author:Hans Bethge, Thomas Mählmann, Traud Winkelmann, Thomas Rath
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