You Can Lead a Horse to Water . . . Changing the Data Science Culture for Veterinary Scientists
In education research, knowledge recall is often considered the easiest aspect of learning, and the creation of new knowledge is the most challenging. Skill development therefore often requires learners to consistently ‘do’ the skill and receive feedback from experts to allow them to fully enter a new culture of practice. This is particularly challenging for those who are interdisciplinary and have limited control over their workload, such as medics and field scientists. In this talk, an educational scientist describes the previous 10 years of supporting veterinary scientists to adopt open science practices surrounding data science. What worked, what failed miserably, and reflections on why it can be so hard to get a horse to drink.
Quality Work: How enhancement led approaches to teaching data can reduce workload, improve outcomes, and deliver rainbows and kittens to all.
Visit our app here: https://edin.ac/3PSpWhs Background Quality Assurance in Higher Education (HE) serves a range of purposes including the safeguarding of standards and supporting the development of staff and students. However, often Quality Assurance is seen as an onerous task, or even a barrier to innovation, such as when a Learning & Teaching Committee is viewed as an obstacle to the implementation of new teaching or assessment. In Scotland, HE Quality Assurance takes an ‘enhancement led’ approach where strong relationships between education providers, funding bodies and student organisations are encouraged, feedback is delivered to improve outcomes, and the sharing of good practice is encouraged. In the veterinary education sector, quality assurance is particularly important to support the delivery of day one competent veterinarians and meeting accreditation standards. Much of the enhancement led approach to Quality Assurance also sits in line with Open Science Framework approaches to data and methods, particularly in the review of data processing even where data itself is too sensitive to be shared. Summary of Work This talk will outline some of the open science approaches to data that R(D)SVS have developed in their Quality Assurance work. In line with open science approaches, it will share workflows and even utilities which can make Quality Assurance tasks in other schools easier and more comparable across schools. It will outline a potential strategy which interested parties can adopt to improve processes. Take Home Message Quality assurance need not strike boredom into the heart of educators. It can be made to work to our interests where we share good practice, particularly in reducing workload when good practice approaches are freely shared.
Moody Cows and Scaredy Cats What is Animal Personality?
Moody Cows and Scaredy Cats What I did with my zoology degree
How do we really record lectures?
The University of Edinburgh has equipped over 400 teaching spaces with a centrally provided lecture recording service. Jill MacKay used mixed methodologies to explore how staff and student experiences were affected, including National Student Survey, Course Evaluation Questionnaires, and service data. This webinar explored how the University engaged with all available evidence regarding student experience, and shared how they have been developing teaching practice in response.
Ten Simple Rules
As part of the Enhancement Themes ‘Learning from Disruption, exploring what counts in higher education’ 2020 conference, we presented our 10 Simple Rules For Supporting A Temporary Online Pivot for Higher Education
What is the value of lecture recording at the University of Edinburgh?
An overview of the lecture recording evaluation being run at the University of Edinburgh
Incepting Massive Behavioural Change in Animal Welfare
Change Through Education: Incepting Massive Behavioural Change in Animal Welfare through Massive Open Online Courses