The surge in online learning in the People’s Republic of China during the coronavirus outbreak highlights the importance of infrastructure, platforms and the preparedness of teachers, students and parents.

The world is experiencing what some may think is a “typical” black swan event: rare, extremely impactful, and only retrospectively predictable. 

Nepal has 2.7% of the earth’s freshwater, yet the people of Kathmandu, Nepal’s most developed region, struggle with scarce water supply.

Title: By 9 Months, Baby's Visual Learning Kicks In: Study
Category: Health News
Created: 4/30/2014 9:35:00 AM
Last Editorial Review: 4/30/2014 12:00:00 AM

Title: For Newly Insured Under Obamacare, a Steep Learning Curve
Category: Health News
Created: 5/2/2014 9:35:00 AM
Last Editorial Review: 5/2/2014 12:00:00 AM

Title: Babies Born Addicted to Opioids Often Struggle With Learning
Category: Health News
Created: 5/3/2017 12:00:00 AM
Last Editorial Review: 5/4/2017 12:00:00 AM

Title: College Kids May Be Learning, Even When Checking Smartphones
Category: Health News
Created: 4/27/2018 12:00:00 AM
Last Editorial Review: 4/30/2018 12:00:00 AM

Clinical teaching is a cornerstone of health sciences education; it is also the most challenging aspect. The University of Pittsburgh Schools of Dental Medicine, Nursing, and Pharmacy developed a new evidence-based interprofessional course framed as a faculty learning community (FLC) around the principles of learning in a clinical environment. The aim of this study was to assess the overall effectiveness of this two-semester FLC at four health professions schools in academic year 2014-15. The assessment included anonymous participant surveys in each session and an anonymous end-of-course survey. Thirty-five faculty members from dental, health and rehabilitation sciences, nursing, and pharmacy enrolled in the FLC, with six to 32 enrollees attending each session. All attendees at each session completed the session evaluation surveys, but the attendance rate at each session ranged from 17.1% to 91.4%. Sixteen participants (46%) completed the end-of-course survey. The results showed overall positive responses to the FLC and changes in the participants’ self-reported knowledge. Session surveys showed that the participants found the FLC topics helpful and appreciated the opportunity to learn from each other and the interprofessional nature of the FLC. Responses to the end-of-course survey were in alignment with the individual session surveys and cited specific benefits as being the content, teaching materials, and structured discussions. In additional feedback, participants reported interest to continue as a cohort and to extend the peer-support system beyond the FLC. This outcomes assessment of the first round of the FLC confirmed that this cohort-based faculty development in an interprofessional setting was well received by its participants. Their feedback provided valuable insights for changes to future offerings.

Background

Transient loss of consciousness (TLOC) is a common reason for presentation to primary/emergency care; over 90% are because of epilepsy, syncope, or psychogenic non-epileptic seizures (PNES). Misdiagnoses are common, and there are currently no validated decision rules to aid diagnosis and management. We seek to explore the utility of machine-learning techniques to develop a short diagnostic instrument by extracting features with optimal discriminatory values from responses to detailed questionnaires about TLOC manifestations and comorbidities (86 questions to patients, 31 to TLOC witnesses).

There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population-specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a distinct relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases, e.g., CpG hypermutability. We have evaluated whether the mechanistic origin of a point mutation can be resolved using only sequence context for a more complicated case. We contrasted single nucleotide variants originating from the multitude of mutagenic processes that normally operate in the mouse germline with those induced by the potent mutagen N-ethyl-N-nitrosourea (ENU). The considerable overlap in the mutation spectra of these two samples make this a challenging problem. Employing a new, robust log-linear modeling method, we demonstrate that neighboring bases contain information regarding point mutation direction that differs between the ENU-induced and spontaneous mutation variant classes. A logistic regression classifier exhibited strong performance at discriminating between the different mutation classes. Concordance between the feature set of the best classifier and information content analyses suggest our results can be generalized to other mutation classification problems. We conclude that machine learning can be used to build a practical classification tool to identify the mutation mechanism for individual genetic variants. Software implementing our approach is freely available under an open-source license.

Andre J. Riveros, Anne S. Leonard, Wulfila Gronenberg, and Daniel R. Papaj

Similar to animal communication displays, flowers emit complex signals that attract pollinators. Signal complexity could lead to higher cognitive load, impairing performance, or might benefit pollinators by facilitating learning, memory and decision-making. Here, we evaluate learning and memory in foragers of the bumble bee Bombus impatiens trained to simple (unimodal) vs. complex signals (bimodal) under restrained conditions. Use of a proboscis extension response protocol enabled us to control the timing and duration of stimuli presented during absolute and differential learning tasks. Overall, we observed broad variation in the performance under the two conditions, with bees trained to compound bimodal signals learning and remembering as well as, better, or more poorly than bees trained to unimodal signals. Interestingly, the outcome of training was affected by the specific colour-odour combination. Among unimodal stimuli, the performance with odour stimuli was higher than with colour stimuli, suggesting that olfactory signals played a more significant role in the compound bimodal condition. This was supported by the fact that after 24 h, most bimodal-treatment bees responded to odour but not visual stimuli. We did not observe differences in latency of response, suggesting that signal composition affected decision accuracy, not speed. We conclude that restrained bumble bee workers exhibit broad variation of responses to bimodal stimuli and that components of the bimodal signal may not be used equivalently. The analysis of bee performance under restrained conditions enables accurately control the multimodal stimuli provided to individuals and to study the interaction of individual components within a compound.

In the olfactory bulb, a cAMP/PKA/CREB-dependent form of learning occurs in the first week of life that provides a unique mammalian model for defining the epigenetic role of this evolutionarily ancient plasticity cascade. Odor preference learning in the week-old rat pup is rapidly induced by a 10-min pairing of odor and stroking. Memory is demonstrable at 24 h, but not 48 h, posttraining. Using this paradigm, pups that showed peppermint preference 30 min posttraining were sacrificed 20 min later for laser microdissection of odor-encoding mitral cells. Controls were given odor only. Microarray analysis revealed that 13 nonprotein-coding mRNAs linked to mRNA translation and splicing and 11 protein-coding mRNAs linked to transcription differed with odor preference training. MicroRNA23b, a translation inhibitor of multiple plasticity-related mRNAs, was down-regulated. Protein-coding transcription was up-regulated for Sec23b, Clic2, Rpp14, Dcbld1, Magee2, Mstn, Fam229b, RGD1566265, and Mgst2. Gng12 and Srcg1 mRNAs were down-regulated. Increases in Sec23b, Clic2, and Dcbld1 proteins were confirmed in mitral cells in situ at the same time point following training. The protein-coding changes are consistent with extracellular matrix remodeling and ryanodine receptor involvement in odor preference learning. A role for CREB and AP1 as triggers of memory-related mRNA regulation is supported. The small number of gene changes identified in the mitral cell input/output link for 24 h memory will facilitate investigation of the nature, and reversibility, of changes supporting temporally restricted long-term memory.

Background:

Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel approach to simultaneously assess risks for multiple cancers to identify distinct multicancer configurations (multiple different cancer types that cluster in relatives) surrounding patients with familial bladder cancer.

We might pride ourselves on our top-notch LMS and training content, and how it can help learners develop as professionals and as people. But let […]

The post Learning from Our Mothers: 8 Lessons from the World's Greatest Trainers appeared first on e-Learning Feeds.

On May 7th, we announced a change to our brand from the eLearning Guild to the Learning Guild. As a member of our community, you […]

The post The eLearning Guild is now The Learning Guild. Here’s Why. appeared first on e-Learning Feeds.

Augmented, Virtual, and other mixed reality technologies are rapidly emerging and advancing, creating new and exciting opportunities for training and education. XR for Learning Weekly […]

The post XR for Learning Weekly – May 6, 2020 appeared first on e-Learning Feeds.

We're bringing you something new: SpeakerChat. This event is both a way to revisit some great eLearning Guild content from a recorded session while also […]

The post SpeakerChat for 05/15/20: Spaced Learning – Why It’s So Good & How to Get Started appeared first on e-Learning Feeds.

Augmented, Virtual, and other mixed reality technologies are rapidly emerging and advancing, creating new and exciting opportunities for training and education. XR for Learning Weekly […]

The post XR for Learning Weekly – April 29, 2020 appeared first on e-Learning Feeds.

Augmented, Virtual, and other mixed reality technologies are rapidly emerging and advancing, creating new and exciting opportunities for training and education. XR for Learning Weekly […]

The post XR for Learning Weekly – April 22, 2020 appeared first on e-Learning Feeds.

We're bringing you something new: SpeakerChat. This event is both a way to revisit some great eLearning Guild content from a recorded session while also […]

The post SpeakerChat for 05/01/20: Rapid Prototyping for Your eLearning Projects appeared first on e-Learning Feeds.

Let’s talk collabs — no, not your Nikes (but yeah, they’re probably pretty fresh). What we are drawing on here is the collabing that makes […]

The post Collaborative Learning in the Workplace appeared first on e-Learning Feeds.

John Deere, the nearly 200-year-old tractor manufacturer, now considers itself a software company

AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains.

As the pachyderms increasingly clash with farmers and villagers over disappearing land, scientists study the way the animals' minds work

A couple who were living their dream of sailing across the Atlantic have shared their "shock" of returning to land and hearing the news about the global coronavirus pandemic.

Smart Education And Learning Market Size, Share & Trends Analysis Report By Age, By Component (Hardware, Software, Service), By Learning Mode, By End User, By Region, And Segment Forecasts, 2020 - 2027Read the full report: https://www.reportlinker.com/p05891723/?utm_source=PRN The global smart education and learning market size is expected to reach USD 680.1 billion by 2027. The market is anticipated to witness a CAGR of 17.9% from 2020 to 2027. Demand for smart education and learning solutions is increasing among the growing population in corporate and academic sectors, owing to benefits such as improved education quality and easy access to educational content. Increasing adoption of consumer electronics, such as smartphones, e-readers, laptops, and e-learning applications, has altered conventional education methodology and has enhanced the efficiency of an individual to learn. Additionally, there are enormous opportunities for advancements in the market, owing to improved internet accessibility.Also, the COVID - 19 outbreak has emerged an opportunity for the market with an increasing number of states and countries closing educational institutes. For instance, over 90.0% of the world's students are not attending their schools due to this pandemic, as mentioned by UNESCO (The United Nations Educational, Scientific, and Cultural Organization). Commonwealth of Learning (COL), an intergovernmental organization of The Commonwealth (Canada), has supported educational institutions and governments in building robust distance education solutions for quality e-learning practices. However, lack of awareness among end-users about the latest technologies and inadequate amount of resources for delivering quality education in developing regions is anticipated to hinder market growth.The simulation-based learning segment is anticipated to exhibit the highest CAGR because this mode enables corporate professional and educational institutions to create a realistic experience in a controlled environment.It also allows professionals and learners to practice, navigate, explore, and obtain more information through a virtual medium before they start working on real-life tasks.Growing awareness among people and the rising popularity of smart education are encouraging solution providers to invest in research and development for creating more reliable, better, and cost-effective solutions. Manufacturers are making substantial investments in developing new products for enhancing the user experience.Smart education and learning market report highlights:• Growing demand for smart educational practices can be accredited to factors, such as reducing expenses of online training, curbing geographic challenges in physically attending classes, and time constraints faced by aspirants• Increasing penetration of the Internet of Things (IoT), enhanced internet accessibility, and rapid adoption of mobile technology have encouraged users to adopt smart education and learning solutions• Innovative techniques, such as gamification, Massive Open Online Courses (MOOCs), microlearning, and adaptive learning, which improve the overall educational process, are expected to drive the market over the projected period• North America accounted for the largest market share in 2019 owing to its large consumer base for e-learning methodsRead the full report: https://www.reportlinker.com/p05891723/?utm_source=PRN About Reportlinker ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place. __________________________ Contact Clare: clare@reportlinker.com US: (339)-368-6001 Intl: +1 339-368-6001

Parents are getting a helping hand from some famous faces

It's the BBC's 'biggest push on education in its history' and kicks off Monday, April 20

Learning a language is good for brain-training so get out your smartphone and start downloading

Learning a language is good for brain-training so get out your smartphone and start downloading

Like most football fans, Jurgen Klopp has found himself with a lot of time on his hands since Premier League action was suspended.

The Duchess of Cambridge revealed that her eldest children, Prince George and Princess...

British multinational GlaxoSmithKline have hired computational drug design expert Dr Kim Branson as the company’s new Senior Vice President, Global Head of Artificial Intelligence and Machine Learning.

In his new role, the biotech veteran will oversee projects which use AI to identify novel targets for potential medicines.

Dr Branson brings to the role more than 15 years’ worth of experience in biotech and academia having held positions at a number of Silicon Valley firms including Gliimpse, Lumia and Hessian Informatics.

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The Department has filed a lawsuit in U.S. District Court in Philadelphia against Nobel Learning Communities Inc. (Nobel) alleging the company violated Title III of the Americans with Disabilities Act by excluding children with autism spectrum disorders and other disabilities from its schools and programs.

Learning Tree International Inc. has agreed to pay the United States $4.5 million to resolve allegations that it violated the False Claims Act when it improperly invoiced federal agencies in advance for information technology training courses and kept federal funds for training courses that were never actually provided.

The Justice Department today announced a settlement agreement with Beach Babies Learning Center LLC, located in Old Saybrook, Conn., to resolve allegations that the center terminated the enrollment of a then two-year-old child from its program because the child has autism.

The Justice Department announced today that it reached a settlement agreement with the Metropolitan School District of Decatur Township, Ind., to prevent and respond to peer on peer harassment in schools.

Experimental techniques demonstrate how to strengthen memories when our brains are off-line

Creating artificial intelligence that continues to adapt

Nenko, Yuliia and Кybalna, Nelia and Snisarenko, Yana The COVID-19 Distance Learning: Insight from Ukrainian students. Revista Brasileira de Educação do Campo, 2020, vol. 5, pp. 1-19. [Journal article (Paginated)]

Feb 3, 2020

The study of existential risk — the risk of human extinction or the collapse of human civilization — has only recently emerged as an integrated field of research, and yet an overwhelming volume of relevant research has already been published. To provide an evidence base for policy and risk analysis, this research should be systematically reviewed. In a systematic review, one of many time-consuming tasks is to read the titles and abstracts of research publications, to see if they meet the inclusion criteria. The authors show how this task can be shared between multiple people (using crowdsourcing) and partially automated (using machine learning), as methods of handling an overwhelming volume of research.