Just in time learning

Online learning dexterity, or the ability to effortlessly adapt to online learning situations, has become critical since the COVID-19 pandemic, but its processes are not well-understood. Using grounded theory, this study develops a paradigm model of online learning dexterity from semi-structured interviews with 32 undergraduate and postgraduate students from a university in New Zealand. Through students' online learning experiences during the pandemic from 2020 to 2021, online learning dexterity is found to be how students make online learning 'just as good' as face-to-face learning by creating and adjusting five learning manoeuvres according to developing online learning circumstances...

Practice on perceptual tasks can lead to long-lasting, stimulus-specific improvements. Rapid stimulus-specific learning, assessed 24 hours after practice, has been found with just 105 practice trials in a face identification task. However, a much longer time course for stimulus-specific learning has been found in other tasks. Here, we examined 1) whether rapid stimulus-specific learning occurs for unfamiliar, non-face stimuli in a texture identification task; 2) the effects of varying practice across a range from just 21 trials up to 840 trials; and 3) if rapid, stimulus-specific learning persists over a 1-week, as well as a 1-day, interval...

Obstructive sleep apnea (OSA) affects almost a billion people worldwide and is associated with a myriad of adverse health outcomes. Among the most prevalent and morbid are cardiovascular diseases (CVDs). Nonetheless, randomized controlled trials (RCTs) of OSA treatment have failed to show improvements in CVD outcomes. A major limitation in our field is the lack of precision in defining OSA and specifically subgroups with the potential to benefit from therapy. Further, this has called into question the validity of using the time-honored apnea-hypopnea index as the ultimate defining criteria for OSA...

Vocational identification means being identified with an organization and with one's career. Both are key objectives of vocational education and training (VET) programs and advantageous for employees and employers. For employees, vocational identification is often associated with positive work-related emotions and job satisfaction; for employers, workers' identification with the organization and the career enhances their performance and reduces turnover. Thus, investment in employees' professional development that has the potential to support vocational identification is advantageous for all involved...

Natural fluctuations in cardiac activity modulate brain activity associated with sensory stimuli, as well as perceptual decisions about low magnitude, near-threshold stimuli. However, little is known about the relationship between fluctuations in heart activity and other internal representations. Here we investigate whether the cardiac cycle relates to learning-related internal representations - absolute and signed prediction errors. We combined machine learning techniques with electroencephalography with both simple, direct indices of task performance and computational model-derived indices of learning...

BACKGROUND: Despite widespread efforts to combat the opioid epidemic, an ongoing contributor to opioid misuse remains post-operative opioid overprescribing by residents. The goal of this study was to evaluate the impact of a low-cost, reproducible "just in time" intervention on opioid prescribing in dialysis access operations. METHODS: Standardized opioid prescribing guidelines were emailed to residents on the vascular service on the first day of the rotation. Opioid prescriptions were reviewed for four years before and one year after this intervention...

OBJECTIVE: Going extended periods of time without eating increases risk for binge eating and is a primary target of leading interventions for binge-spectrum eating disorders (B-EDs). However, existing treatments for B-EDs yield insufficient improvements in regular eating and subsequently, binge eating. These unsatisfactory clinical outcomes may result from limitations in assessment and promotion of regular eating in therapy. Detecting the absence of eating using passive sensing may improve clinical outcomes by facilitating more accurate monitoring of eating behaviours and powering just-in-time adaptive interventions...

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence . This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To develop an artificial intelligence (AI) for diagnosis of breast cancer in digital breast tomosynthesis (DBT) and investigate whether it could improve diagnostic accuracy and reduce reading time of radiologists...

Drawing on responses from 238 beachgoers who have visited a Georgia (U.S. state) beach in the past three years, this study asks respondents about their knowledge of beach water quality monitoring, awareness of beach health advisories, perception of water quality, and expected responses upon learning of a beach's water pollution advisory. Binomial logistic regression finds that the only demographic predictor of respondents who would completely stop visiting a beach with an advisory is whether the respondent is a visitor or resident (year-round or part-time)...

"Flipped classroom" has subverted the traditional classroom teaching model and is believed to have a positive impact on knowledge acquisition and skill training for higher education students. The pre-class learning phase is considered a key factor in the success of flipped classrooms. However, currently, the pre-class learning phase of flipped classrooms mainly relies on video watching, which makes students passive receivers. Teachers need to invest a lot of time and resources in developing online videos, which greatly increases students' learning time and tasks...

Hardware neural networks with mechanical flexibility are promising next-generation computing systems for smart wearable electronics. Overcoming the challenge of developing a fully synaptic plastic network, we demonstrate a low-operating-voltage PET/ITO/p-MXene/Ag flexible memristor device by controlling the etching of aluminum metal ions in Ti3 C2 T x MXene. The presence of a small fraction of Al ions in partially etched MXene (p-Ti3 C2 T x ) significantly suppresses the operating voltage to 1 V compared to 7 V from fully Al etched MXene (f-Ti3 C2 T x )-based devices...

At the onset of the COVID-19 pandemic, providers of independent living services for rural disabled people were forced to adapt how they conducted their operations. This study is a primary analysis of data based on transcripts from eight meetings of a nationwide network of service providers, who met virtually to provide peer support during the unfolding pandemic. We used qualitative thematic analysis to understand the ways these service providers adapted to address the needs of rural disabled people during the pandemic...

The dynamics of the mind are complex. Mental processes unfold continuously in time and may be sensitive to a myriad of interacting variables, especially in naturalistic settings. But statistical models used to analyze data from cognitive experiments often assume simplistic dynamics. Recent advances in deep learning have yielded startling improvements to simulations of dynamical cognitive processes, including speech comprehension, visual perception, and goal-directed behavior. But due to poor interpretability, deep learning is generally not used for scientific analysis...

In busy clinical environments, educational opportunities must be designed to accommodate learner-specific needs. Many adult learners prefer short, relevant, technology-enhanced learning. As such, electronic learning (e-learning) experiences have become a prominent part of medical education. Yet, there remain challenges to e-learning experiences in the current educational landscape. To address these challenges, the authors developed the TinyTalks paradigm, which serves as the educational foundation for the TinyTalks curriculum...

OBJECTIVE: Compensatory strategies can improve performance of instrumental activities of daily living in people with cognitive impairment. This study investigated patient interest in compensatory strategy interventions and preference for various intervention formats. METHODS: Semi-structured qualitative interviews with 38 older adults with cognitive impairment queried motivation to improve strategy use and interest in intervention formats/delivery methods. Two coders used thematic analysis to determine rates of interest in each intervention type and explore patient-reported barriers and facilitators to motivation and intervention models...

Large-vessel occlusion (LVO) stroke is a promising field for the use of AI, especially machine learning (ML) because optimal results are highly dependent on timely diagnosis, communication, and treatment. In order to better understand the current state of artificial intelligence (AI) in relation to LVO strokes, its efficacy, and potential future applications, we searched relevant literature to perform a comprehensive evaluation of the topic. The databases PubMed, Embase, and Scopus were extensively searched for this review...

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence . This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. Purpose To evaluate the effect of implementing two distinct commercially available deep learning reconstruction (DLR) algorithms on the efficiency of MRI examinations conducted in real clinical practice in an outpatient setting within a large, multicenter institution...

Curiosity can be a powerful motivator to learn and retain new information. Evidence shows that high states of curiosity elicited by a specific source (i.e., a trivia question) can promote memory for incidental stimuli (non-target) presented close in time. The spreading effect of curiosity states on memory for other information has potential for educational applications. Specifically, it could provide techniques to improve learning for information that did not spark a sense of curiosity on its own. Here, we investigated how high states of curiosity induced through trivia questions affect memory performance for unrelated scholastic facts (e...

Cooperation and defection are social traits whose evolutionary origin is still unresolved. Recent behavioral experiments with humans suggested that strategy changes are driven mainly by the individuals' expectations and not by imitation. This work theoretically analyzes and numerically explores an aspiration-driven strategy updating in a well-mixed population playing games. The payoffs of the game matrix and the aspiration are condensed into just two parameters that allow a comprehensive description of the dynamics...

BACKGROUND: Compassionate care lies at the foundation of good patient care and is a quality that patients and providers continue to value in the fast-paced setting of contemporary medicine. Compassion is often discussed superficially in medical school curricula, but the practical aspect of learning this skill is often not taught using a formal framework. In the present work, the authors present an 8-session curriculum with a mindfulness-based approach to compassion that addresses this need...