The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Comparing learning outcomes of video-based e-learning with face-to-face lectures of agricultural engineering courses in Korean agricultural high schools
This study investigated the effectiveness of e-learning by comparing the learning outcomes in conventional face-to-face lectures and e-learning methods. Two video-based e-learning contents were developed based on the rapid prototyping model and loaded onto the learning management system (LMS), which was available at http://www.greenehrd.com. Eighty-five Korean agricultural high school students were randomly assigned into the two groups: face-to-face lecture (control group), and video-based e-learning (experimental group). The students of the experimental group logged onto the LMS in the school computer lab and completed each e-learning module. All students were required to take a pretest and posttest before and after learning under the direction of the subject teachers. One-way analysis of variance (ANOVA) was used to examine any difference between the two groups in terms of learning outcomes. One-way analysis of covariance (ANCOVA) was also administered to verify whether there was any difference between the two groups after controlling for the covariate variable: pretest score. According to the results, e-learning resulted in better learning outcomes than face-to-face lecturing. These findings suggest that the use of well designed and appropriately applied e-learning could be worthy even in agricultural education, which stresses hands-on experience and lab activities. Further research should focus on a different e-learning content type in different agricultural subject fields and its relationship with learning outcome.
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