Academics’ Experiences in Veterinary Educational Research: Results of an International Survey

2021 ◽  
pp. e20210079
Author(s):  
Sarah Baillie ◽  
Julie A. Hunt ◽  
Mirja Ruohoniemi ◽  
Victoria L. Phillips ◽  
Megan M. Thompson ◽  
...  

Research conducted by the veterinary education community is critical to continual improvement of educational outcomes. Additionally, research productivity is one metric in promotion and tenure decisions. We sought to identify challenges encountered or anticipated when undertaking or planning veterinary educational research (VER), to learn how these challenges might be overcome, and to synthesize tips for success from those who have performed VER. A branching survey was developed and deployed along the authors’ worldwide veterinary education contacts in a cascading manner. The survey collected quantitative and qualitative information from participants who had performed VER and those who planned to perform VER in the future. The 258 participants represented 41 countries. Of the participants, 204 had performed VER (79%) and 54 planned to in the future (21%). The median time spent teaching was 14 years, and median time performing VER was 5 years. The most commonly reported challenges in performing VER were lack of funding, lack of time, and difficulties encountered when undertaking a study, including data collection, analysis, and publishing. When asked about overcoming the challenges, a major theme emerged around people, who provided expertise and mentoring. The most commonly reported tip for success was collaboration; 73% of experienced researchers reported people as most helpful upon beginning VER. Collaborators provided diverse help with ideas, study design, statistics, and other aspects. These results suggest that institutions can offer support to academics in the form of small grants, protected research time, writing workshops, and mentorship to assist with the production of meaningful VER.

2020 ◽  
Vol 42 (3) ◽  
pp. 355-368
Author(s):  
YEVGENIY ALEKSANDROV

The aim of the article is to recall the fi steps of comprehension by the scientific community of possibilities of a newly born means of the reality reflection. The means was initially oriented for obtaining reliable information and supposing a delayed reaction of the spectator in the process of communication. Recollection and understanding become more important under the distance education condition. Pre-revolutionary Russia lived anticipating changes, and the filmmaking was considered by the society as one of those progressive phenomena evidencing the coming of a new age. The scientists’ activity during the development of scientific fi in pre-revolutionary Russia was long hushed up and wasn’t considered as forming a basis for the future system of educational audio-visual communication. In this process there participated striking, creative personalities, mostly belonged to the community of Imperial Moscow University, which activity was during the age of changes. The significant contribution of pleiad of eminent scientists’ activity to the new direction formation was a reason to unify in one paper both their whole professional life data and information about their time-limited period of scientific fi In the future a more profound study of their achievements are considered to be promising. In the introduction the anterior period of the Russian fi appearance, where the scientific and education community of Russia was exploring the possibilities of a new means of information transfer for education purposes, is considered. Two main units are dedicated to the role of scientists in the development of scientific filmmaking for research and popularization of biomedical and physical problems.


1982 ◽  
Vol 11 (8) ◽  
pp. 11-17 ◽  
Author(s):  
FRANK H. FARLEY

2021 ◽  
Vol 6 ◽  
Author(s):  
Brent Davis ◽  
Krista Francis

There are hundreds, perhaps thousands, of “theories of learning” at play in the field of education. Given scant agreements on the meaning of “learning” and the purpose of “theory,” such quantity is perhaps unsurprising. Arguably, however, this situation is indefensible and debilitating in an academic domain so focused on interpreting and influencing learning. We describe our own efforts to come to terms with this matter. Oriented by Conceptual Metaphor Theory and network theory, we are attempting to “map” contemporary treatments of learning—whether implicit or explicit, written or spoken, descriptive or prescriptive, formal or informal, scientific or folk. We report on our iterative process, evolving design, and emergent insights. We discuss the potential relevance of this and similar efforts for the future of educational research and practice.


2019 ◽  
Vol 30 (2) ◽  
pp. 205-235 ◽  
Author(s):  
Mutlu Cukurova ◽  
Rosemary Luckin ◽  
Carmel Kent

AbstractArtificial Intelligence (AI) is attracting a great deal of attention and it is important to investigate the public perceptions of AI and their impact on the perceived credibility of research evidence. In the literature, there is evidence that people overweight research evidence when framed in neuroscience findings. In this paper, we present the findings of the first investigation of the impact of an AI frame on the perceived credibility of educational research evidence. In an experimental study, we allocated 605 participants including educators to one of three conditions in which the same educational research evidence was framed within one of: AI, neuroscience, or educational psychology. The results demonstrate that when educational research evidence is framed within AI research, it is considered as less credible in comparison to when it is framed instead within neuroscience or educational psychology. The effect is still evident when the subjects’ familiarity with the framing discipline is controlled for. Furthermore, our results indicate that the general public perceives AI to be: less helpful in assisting us to understand how children learn, lacking in adherence to scientific methods, and to be less prestigious compared to neuroscience and educational psychology. Considering the increased use of AI technologies in Educational settings, we argue that there should be significant attempts to recover the public image of AI being less scientifically robust and less prestigious than educational psychology and neuroscience. We conclude the article suggesting that AI in Education community should attempt to be more actively engaged with key stakeholders of AI and Education to help mitigate such effects.


2007 ◽  
Vol 12 (7) ◽  
pp. 370-373
Author(s):  
Zalman P. Usiskin

The writing of “The future of fractions” in 1978 was motivated by a single incident, the quote that begins the article. That quote—indicating that fractions would become obsolete—is from an editorial essay in the Virginia Mathematics Teacher by Lucien Hall. Hall was an active, responsible, and knowledgeable member of the mathematics education community, and when I saw what he had written, I knew that his statement represented the beliefs of many other mathematics teachers and educators. I felt that his statement and this broader view of the impending demise of fractions had to be addressed.


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