"Understanding by Design" session at the 17th European CME Forum
We are proud to be presenting a workshop at the 'Core Competencies in CME/CPD' session in the forthcoming 17th European CME Forum in Madrid. This approach to instructional design is one that we champion at Outcomes Engine when our tools are used or when we advise teams on how to develop their learning...
Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
OpenAI announces first partnership with a university
"Starting in February, Arizona State University will have full access to OpenAI's ChatGPT Enterprise." "With the OpenAI partnership, ASU plans to build a personalized AI tutor for students, not only for certain courses, but also for study topics. STEM subjects are a focus and are “the make-or-break...
Source: cnbc.com
A checklist for reporting, reading and evaluating Artificial Intelligence Technology Enhanced Learning (AITEL) research
"This paper proposes a checklist for reporting on AI systems, and covers the initial protocols and scoping, modelling and code, algorithm design, training data, testing and validation, usage, comparisons, real-world requirements, results and limitations, and ethical considerations. The aim is to have...
Source: tandfonline.com
What (else) happened? A key question for learning programmes.
Good paper from 2013 on the need to go beyond just asking 'did our programme work?' "It is clear that programme evaluations using traditional ‘outcomes-based’ models are inadequate for the health professions context. Consequently, the scholarship in health professions education has begun to incorporate...
Source: wiley.com
Assessing learners - a mindset for the era of generative AI.
ChatGPT assignments to use in your classroom today. "Teachers and faculty everywhere first need to adopt a mindset that acknowledges the availability of AI and the likelihood that students will use it. As a result, we need to adjust our expectations of students. With online tests, maybe we should stop...
Source: ucf.edu
How machine learning might unlock earthquake prediction
Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.
Source: technologyreview.com
AI will be deeply disruptive to Higher Education
Paul LeBlanc and George Siemens are teaming up to explore how AI is going to change higher education. "LeBlanc transformed SNHU from 2500 students in 2003 to over 200,000 students in 20 years by using technology to switch delivery online." Siemens is one of the proposers of connectivism - a theory...
Discovery of a structural class of antibiotics with explainable deep learning.
One of the challenges with deep learning (neural networks) is that although they find patterns the reasoning disappears into an endless detail of numbers. In this paper the researchers built an 'explainable' AI to discover antibiotics instead of such a 'black box'. "The discovery of novel structural...
Source: nature.com
Innovating Pedagogy 2023
Looking for something innovative to try in 2024? MedEd professionals would benefit by looking through these ideas first. Open University's, Institute of Educational Technology's latest innovating pedagogy report from August 2023. This is the 11th annual report on emerging technologies in education...
Source: open.ac.uk
Development and validation of Simulation Scenario Quality Instrument (SSQI)
A validated scale for measuring quality of simulation scenarios in medical education. "Background Due to the unmet need for valid instruments that evaluate critical components of simulation scenarios, this research aimed to develop and validate an instrument that measures the quality of healthcare...
Source: biomedcentral.com
AI can tell which chateau Bordeaux wines come from with 100% accuracy
A machine-learning algorithm was able to tell which estate 80 Bordeaux red wines came from with 100 per cent accuracy by assessing their chemical signatures
Source: newscientist.com
A systematic review of insight and reflection in post graduate medical education
Great literature synthesis on reflection. "We present a novel description of a hierarchy from discrete episodes of reflection, to cyclic processes that involve reflection, through to a state in which the practitioner is reflective. There is no unified understanding of how an individual ascends this...
Source: wiley.com
“Meet the patient” session: a strategy to teach medical students about autonomic dysfunction after spinal cord injury
Dysregulation of the autonomic nervous system is an important long-term consequence of spinal cord injury (SCI). Yet, there is a scarcity of teaching resources about this topic for preclinical medical students. Given the association of SCI sequelae with emergency complications and mortality, it is imperative...
Source: biomedcentral.com
The effectiveness of team-based learning in nursing education: A systematic review - PubMed Nurse education today.
Overall, TBL was found to be effective in achieving undergraduate nursing students' learning outcomes, but evidence was not sufficiently strong to warrant that it is more effective than other teaching methods. The results of this review are in favour of the implementation of TBL in nursing education...
Source: nih.gov
Learning Outcomes of High-fidelity versus Table-Top Simulation in Undergraduate Emergency Medicine Education: Prospective,
The student's performance on quantitative medical-knowledge assessment was equivalent between the high-fidelity control and low-fidelity experimental simulation groups. Analysis of knowledge acquisition between the two groups also demonstrated statistical equivalence.
Source: nih.gov
Coaching for Clinician Educators
Branzetti, Jeremy. Love, Linda M.. Schulte, Elaine E. Journal of Graduate Medical Education. Clinician educators (CEs) face manifold challenges, such as teaching under increasing clinical productivity pressures, satisfying evolving accreditation requirements, and combatting trainee and faculty burnout....
Source: allenpress.com
Shared decision making learning package | Shared decision making | Guidance | NICE
"To support implementation of the NICE guideline on shared decision making, Keele University and NICE have worked in partnership to develop an online learning package. This is suitable for all healthcare professionals and aims to equip people with the skills and knowledge they need to have good-quality...
Source: nice.org.uk
The 10 Trends Shaping the Future of Pharma - The Medical Futurist
The medical community gradually acknowledges digital health but doesn't embrace it entirely. Familiarize yourself with the future of pharma! Medical Futurist 10 trends shaping the future of pharma Patients on advisory boards - to better know the exact needs Digital health strategy 'around the pill'...
Source: medicalfuturist.com
Red Hot: The 2021 Machine Learning, AI and Data (MAD) Landscape
Full resolution version of the landscape image here
It’s been a hot, hot year in the world of data, machine learning and AI.
Just when you thought it couldn’t grow any more explosively, the data/AI landscape just did: rapid pace of company creation, exciting new product and project launch
Source: mattturck.com
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