The 100 Worst Ed-Tech Debacles of the Decade: "For the past ten years, I have written a lengthy year-end series, documenting some of the dominant narratives and trends in education technology. I think it is worthwhile, as the decade draws to a close, to review those stories and to see how much (or how...
Source: hackeducation.com
Diet and Dermatology: Google Search Results for Acne, Psoriasis, and Eczema: It is difficult to regulate the abundance of medical information that is available to patients on the Internet. This systematic review evaluated content available online related to diet and 3 dermatologic conditions: acne, psoriasis,...
Source: mdedge.com
“Because of the complexity of delivering better cancer care and the dynamics of NHS funding and introducing better practices in the health service there is a strong case for developing new cancer strategies for all the UK nations for the 2020s. Britain could also benefit from leading an independent...
Source: ucl.ac.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
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
Video for learning is great at some things, not so great at others. Great summary of recent evidence from Donald Clark. What can we learn from Netflix? (Use technology appropriately not just the buzzwords) Episodic vs. Semantic memory (Remembering the right things from video isn't as easy as you think)...
Source: blogspot.com
'Dying with smartphones' by Daniel Miller "The hospice movement has grown up respecting that most people want to die in their own homes, even when they are living alone. But where is that home?" "We have witnessed how smartphones are becoming part of us, rather than simply something we use. Humanity...
Source: wordpress.com
"To encourage ongoing dialogue, Weizenbaum designed Eliza to simulate the type of conversational style used by a Rogerian psychoanalyst. The program would take something the user said and reflect it back with a question
... during their brief interactions with Eliza, many users began forming emotional...
Source: ieee.org
25 Years of EdTech: 2019 – Micro-credentials.
"... micro-credentials represent the latest chapter in the attempt to make the shape of higher education more amorphous and flexible. In this, I am in favour of them, because if you want education to be inclusive and diverse then it needs to come in...
Source: edtechie.net
"Health professions education (HPE) researchers are regularly asked to articulate their use of theory, theoretical frameworks, and conceptual frameworks in their research. However, all too often, these words are used interchangeably or without a clear understanding of the differences between these concepts....
Source: lww.com
In a multicenter study, radiologists had better performance with deep convolutional network software for the detection of malignant pulmonary nodules on chest radiographs than without. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs....
Source: rsna.org
The Collective Journey is a way of explaining and retelling why something from the complex world has happened. Whilst it is a tool for storytellers to make compelling entertainment it also highlights the weakness of the single perspective in trying to understand the real world. “For centuries, every...
Source: collectivejourney.com
"Open is Eating the World: What Source Code and Science Have in Common: In 2011, Marc Andreessen said that software is eating the world, predicting that technology companies would continue to significantly disrupt an increasingly broad range of industries. Since then, publishers have embraced technology....
Source: sspnet.org
Teaching a difficult topic using a problem-based concept resembling a computer game: development and evaluation of an e-learning application for medical molecular genetics: E-learning through serious gaming. Teaching concepts such as genetic testing and the digital literacy required to analyse data can...
Source: biomedcentral.com
Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems: Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for...
Source: nature.com
Four Key Barriers to the Widespread Adoption of AI: There is a lot of buzz about the promise of artificial intelligence (AI) and machine learning—from self-driving cars to predicting heart attacks, AI is spreading like wildfire across industries, triggering a massive investment in talent as businesses...
Source: mit.edu
Cloud computing services transform our economies while economic measurement struggles to keep up with the new technology. Gone are the days when servers used to live in the office basement since now more technology is moving to 'the cloud'. "As the inexorable rise of cloud computing services continues...
Source: escoe.ac.uk
Are there automation-resistant intelligences? The question we all want to ask is 'will my job be taken over by a robot?' "Our model predicts that most workers in transportation and logistics occupations, together with the bulk of office and administrative support workers, and labour in production occupations,...
Source: ox.ac.uk
Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology. Advances in machine learning (ML) have shown great promise for assisting in the work of healthcare professionals, such as aiding the detection of diabetic eye disease and metastatic breast cancer. Though high-performing algorithms...
Source: googleblog.com
Robust Neural Machine Translation: In recent years, neural machine translation (NMT) using Transformer models has experienced tremendous success. Based on deep neural networks, NMT models are usually trained end-to-end on very large parallel corpora (input/output text pairs) in an entirely data-driven...
Source: googleblog.com