Learning and Employability Gain Assessment Community Project (LEGACY Project) Project News & Events Sector Related News Events About BioInteractive At BioInteractive, you can find award-winning multimedia resources, including apps, animations, videos, interactives, and virtual labs, to bring the excitement of scientific discovery into your classroom. Our rich video resources range from a series of short films on evolution, hosted by an award-winning author-scientist, to lectures on the brain given by a Nobel-prize winner—all supplemented by teacher guides and classroom activities. Our team members include scientists, artists, and educational experts. The AI doctor won't see you now What makes a good doctor? When the British Medical Journal asked the question in 2002, common qualities that resonated with its readers were compassion, understanding, empathy, honesty, competence, commitment and humanity. That was a time before Facebook, Google, Siri, AlphaGo and the rise of AI and algorithms to analyze complex medical data. But despite these impressive advances, in challenging times we still expect such profoundly human qualities in our health professionals. And in situations like end-of-life care, it is almost impossible to imagine compassionate service delivered in a hospice staffed by algorithms. So doctors will not be replaced by AI.
Survey for employer satisfaction of graduates In 2018 the supervisor response rate was 52.0 per cent with over 5,300 supervisor responses. The 2018 ESS results are large enough to provide robust comparisons by broad field of education, course characteristics, employment characteristics, occupation and demographic group. There are sufficient results from the 2016, 2017 and 2018 ESS combined to provide comparisons across universities.
Kirkpatrick's Four-Level Training Evaluation Model - MindTools.com © iStockphotoPauuletHohn Evaluate the effectiveness of your training at four levels. If you deliver training for your team or your organization, then you probably know how important it is to measure its effectiveness. BES (Iterative Best Evidence Synthesis) This publication page provides access to the Ministry of Education Best Evidence SynthesisIteration (BES publications). For more information visit the BES Home page. Iterative Best Evidence Synthesis Programme | Hei Kete Raukura The New Zealand Ministry of Education's best evidence synthesis iterations draw together, explain and illustrate through vignette and case, bodies of evidence about what works to improve education outcomes, and what can make a bigger difference for the education of all our children and young people.
Planning for the healthcare workforce of the future Life-long training aligned to need The effective use of new technology will be crucial to ensure optimal and efficient delivery of services and will require the health workforce to continuously learn, update and adapt skills to new operating environments. Planning for the requisite health workforce skill set should be done with an awareness of the talent pipeline and the skills taught at schools and universities, and an eye to the future requirements posed by technological innovations. Programming, data analytics and human behaviour may need to be integrated into medical curriculums alongside anatomy and neurology. The anticipated changes to workforce roles present an opportunity to redeploy, upskill or reskill employees.
Why Skills Training Can’t Replace Higher Education Executive Summary One of the dominant narratives in the media is that we need to produce more workers now who can do whatever is needed now, using short-term post-secondary certification programs. The focus is typically on “vocational” skills, contrasted with what too often are characterized as relatively useless liberal education outcomes. New NUS Lifelong Learners programme for students and alumni • Student enrolment valid for 20 years from point of undergraduate admission • Alumni are automatically eligible for new lifelong learning programme The National University of Singapore (NUS) today introduced a new lifelong learning initiative, the NUS Lifelong Learners (NUS L³) programme, to address the lifelong learning needs of its student and alumni communities. The move is intended to ensure that NUS graduates have ready access to skills-based, industry-relevant courses necessary for upskilling or reskilling, to remain competitive in the job market, and to enable them to make a greater impact on the future economy.
HMX Pro Online Courses - HMX Advance your career with a Harvard Medical School certificate. The HMX Pro series is designed to get busy professionals up to speed on highly relevant, cutting-edge topics in fields like genetics and immunology. Online courses are led by Harvard Medical School faculty and feature detailed visualizations and clinical application videos. Our next course period begins April 7, including courses on immuno-oncology, cancer genomics, genetics, and pharmacology. Find out more about this exciting online learning opportunity: Topic Areas and Courses Course Modules: Neuroscience in Action No modules have been defined for this course. Welcome to the Course! Final Course Evaluation: Required assignment 7036666 1 Score at least Must score at least to complete this module item Scored at least Module item has been completed by scoring at least View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark done Must mark this module item done in order to complete Marked done Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
The Mind Project: Curriculum AI, Robotics & Computational Models This module provides an introduction to artificial neural nets with a working network that can solve X-OR problem. Chain codes are a kind of computer program that can be used to represent the shape of objects. Seven hands-on activities show how to write simple chain codes and explain their application to computer vision. Harvard Medical School Physiology Richard M. Schwartzstein, MD Ellen and Melvin Gordon Professor of Medicine and Medical Education, Harvard Medical School Michael J. Parker, MD Course Mapping - Center for Teaching and Learning Maps are all around us: on our phones, in our cars, in public spaces—just about anywhere. We use them to navigate traffic, go on road trips, illustrate concepts; put simply, they show us the way from Point A to Point B. By illustrating roads, traffic, and terrain, maps display how to get somewhere and what might happen along the way. Essentially, maps provide a high-level overview of new or unfamiliar territory, allowing us to journey safely and efficiently. Designing an online course can also present unfamiliar territory. If you’re creating one, you probably know where you want students to end up, but you might not know how you’ll get them there, what tools are available to you, or even how you’ll engage them.