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
ON THE SIGNIFICANT OF AGRICULTURAL EXTENSION AND EDUCATION GRADUATES' PERCEPTIONS OF E- LEARNING IN IRAN
Educational research is an ever-expanding field of study where new methods, systems and new concepts are always being discovered. With the emergence of the Internet, e-learning has increasingly become the promising solution that continues to grow day after day. This paper examines perception of graduate students in Agricultural Extension Education in Iran towards e-learning. A descriptive-correlation survey approach was used in this study. Students (n = 82) filled in a web-based closed questions questionnaire. Reliability and validity of instrument were determined by investigating the attitudes of e-learning and extension specialists and application of Cronbach's (0.94). Descriptive and inferential statistics were used to analyze the data using SPSS Win 18. Questionnaires received were analyzed, putting the students' perceptions in relation to gender, age, university, previous knowledge of computers and attitudes to advantages and disadvantages of e-learning. Results showed that students have positive perception to e-learning. The results also indicated that male students, students with previous knowledge of computers and students with positive attitudes to new technologies were all more positive in favour to e-learning than other students. There were significant relationship between computer and internet skills of students and their perceptions of e-learning. Therefore from the student's point of view, e-learning can be used as complementary approach with current system to improving educational quality in agricultural extension and education in higher Education.
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