The Sandwich principle: assessing the didactic effect in lectures on “cleft lips and palates”: A teaching concept, that takes individual learning and personal belongings into account, is called the “sandwich principle.” This didactic method is an educational concept that alternates consecutively...
Source: biomedcentral.com
Proposal for a New Tool to Evaluate a Serious Game: The current enthusiasm of generations of students for video games and the marked interest of training institutions for the use of playful strategies, which facilitate learning, has encouraged the development and use of formative games called Serious...
Source: online-journals.org
A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential...
Source: nih.gov
Learning to Summarize with Human Feedback: We've applied reinforcement learning from human feedback to train language models that are better at summarization. Our models generate summaries that are better than summaries from 10x larger models trained only with supervised learning. Even though we train...
Source: openai.com
Stephen's Web ~ Learning Analytics beyond the LMS: Enabling Connected Learning via Open Source Analytics in ‘the wild’ ~ Stephen Downes "This excellent report (55 page PDF) will introduce you to the Connected Learning Analytics (CLA) toolkit." Overview of an approach to learning analytics.
Source: downes.ca
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health "In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine...
Source: googleblog.com
Twitter is one of the most popular microblogging and social networking platforms where massive instant messages (i.e. tweets) are posted every day. Twitter sentiment analysis tackles the problem of analyzing users’ tweets in terms of thoughts, interests and opinions in a variety of contexts and domains....
Source: online-journals.org
Comparison of E-Learning, M-Learning and Game-based Learning in Programming Education – A Gendered Analysis: Learning to code is considered as a difficult and challenging task for a significant number of novice programmers in programming education. Novice programmers have to acquire different skills...
Source: online-journals.org
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population - PubMed: The performance of CNN developed with relatively modest number of dermoscopic images of skin tumors and...
Source: nih.gov
My next tweet could be generated by a deep-learning neural network. I've been training one. Would anyone notice the difference? Could I just hand over tweeting to my machine? Method: downloaded the last 3200 Tweets that I posted using allmytweets.netpruned the dates off and removed the RTs by using some...
Source: agnate.co.uk
Solving Rubik’s Cube with a Robot Hand: We've trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. Instead of thinking too much about the complex algorithms to solve the task they instead focus on creating complex worlds where the machine can learn. This of course...
Source: openai.com
"any user interaction behavior must be analyzed in the specific education context such as the learning design and course modality. An understanding of the learning design context is imperative for establishing accurate predictive models alongside pedagogical recommendations."...
Source: www.sfu.ca
Artificial intelligence yields new antibiotic: A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
“The idea of using predictive computer models for “in silico” screening is not new, but until now, these models were not sufficiently...
Source: mit.edu
Effects of a quasi-experimental study of using flipped classroom approach to teach evidence-based medicine to medical technology students: Flipped classroom is known to improve learning efficiency and to develop one’s ability to apply high-level knowledge. To investigate the effect of flipped classroom...
Source: biomedcentral.com
Student Performance on an E-Learning Platform: Mixed Method Approach: E-learning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an e-learning platform. For this purpose, research...
Source: online-journals.org
Open University publishes a review of learning technologies looking at how pedagogy is changing. This year's report "Innovating Pedagogy 2020" highlights a number of emerging trends in education or learning. The report is well referenced and gives practical advice on how best to apply these innovations....
Source: edtechie.net
Outcomes-based planning for CME (Continuing Medical Education) often cites Donald Moore, Professor of Medical Education at Vanderbilt University. In 2009 he published an outcomes framework for CME (1) - which expanded George Miller's 1990 competency pyramid (2) - followed by a more detailed explanation...
Source: agnate.co.uk
"Many of my sponsoring stakeholders - that is, the people
with the power to buy instructional design services - wouldn’t have
known a learning solution if it bit them on the toe. Frankly, they
really didn’t care about learning. They really didn’t want me to
tell them...
Source: wixstatic.com
Animated video can more cost-effectively reach the widest – even
geographically isolated – populations, it readily complements extension
services and international development community efforts to secure
knowledge transfer and recipient buy-in for innovations. Implications
and future research...
Source: tandfonline.com
Archaeologists found 143 more images among the Nazca Lines: The team used a machine-learning algorithm to search aerial photos for geoglyphs.
Source: arstechnica.com