Online learning

Wheelchair provision training is essential to overcome barriers related to the lack of knowledge of health professionals on this topic. Appropriate knowledge of the service provision process may lead to higher quality service and products, and thus be more likely to help people with mobility impairments achieve the fundamental human right of personal mobility. This study aimed to describe a training intervention for two groups of future physiotherapists in Colombia, assess cohort differences in performance on a knowledge test, and explore their post-training perceptions...

So far, evaluation of training initiatives for dairy farm employees has been limited to the reaction and learning level. The effect of training on dairy farm employees' behavior has not been studied yet. The objective of this study was to determine the effectiveness of online training to change employee behavior toward best-practice routines. An interactive training course related to udder health was developed in 5 modules in Spanish and English: (1) collecting an aseptic milk sample, (2) administering intramammary treatment, (3) deciding on salable milk, (4) treating a cow at dry-off with antibiotics, and (5) administering teat sealants...

Fish diseases pose a significant threat to food security in aquaculture, as they can lead to considerable reductions in fish production, quality, and profitability. Globally, salmon aquaculture is the quickest-expanding food production system. Detecting and diagnosing fish diseases in their early stages is essential to prevent the spread of diseases and reduce the negative impact on aquaculture's economy and environment. To serve this purpose, we introduce the SalmonScan dataset, a novel and comprehensive collection of images of healthy and infected salmon fish, which can be used for various applications in computer science and aquaculture...

OBJECTIVES: The purpose of this study has been to evaluate the use of gamification in the classroom, in terms of its effects on attention, concentration, creativity, and generic capabilities, for university students enrolled in a Bachelor's degree program in Physiotherapy. METHODS: An experimental design was implemented, using three groups differentiated by their time of exposure to the game (0 min, 30 min, or 60 min per week). The sample consisted of 73 s-year students from a Bachelor's degree program in Physiotherapy...

The COVID-19 pandemic highlighted the need for predictive deep-learning models in health care. However, practical prediction task design, fair comparison, and model selection for clinical applications remain a challenge. To address this, we introduce and evaluate two new prediction tasks-outcome-specific length-of-stay and early-mortality prediction for COVID-19 patients in intensive care-which better reflect clinical realities. We developed evaluation metrics, model adaptation designs, and open-source data preprocessing pipelines for these tasks while also evaluating 18 predictive models, including clinical scoring methods and traditional machine-learning, basic deep-learning, and advanced deep-learning models, tailored for electronic health record (EHR) data...

With the rapid development of international communication, the number of English courses has shown an explosive growth trend, which has caused a serious problem of information overload, resulting in poor teaching performance of recommended English courses. To solve this problem, this paper proposes a graph convolutional neural network model based on College English course texts, students' major, English foundation and network structure characteristics. First, by analyzing the relevant data of College English courses and combining with graph neural network, an English course recommendation algorithm model based on the College English learning strategy of proximity comparison is proposed...

This study delves into the intricate dynamics of internet addiction among university students, leveraging a comprehensive quantitative approach to unravel the myriad factors influencing this modern-day malaise. Utilizing logistic regression analysis, this research delineates the predictive significance of Daily Internet Usage Time (DIUT) and Communicative Internet Use Frequency (CIUF) on the propensity for internet addiction, with the analysis substantiating these variables as potent predictors. The model elucidates a significant variance in internet addiction, affirming the complexity of internet addiction as influenced by a constellation of behavioral patterns...

INTRODUCTION: Comprehensive sexuality education (CSE) is associated with positive sexual and reproductive health (SRH) outcomes, including increased contraceptive use, lower rates of unintended pregnancy and prevention of sexual violence. However, implementation of and requirements for CSE vary across the United States which can negatively impact students, both during and beyond high school, including among college students. METHODS: and Analysis: This paper describes the research protocol for a multi-staged approach for designing, implementing and evaluating an SRH course for up to 60 undergraduate students at a public university in California...

The Covid-19 pandemic has forced the educational sector to quickly adapt to the crisis and shift to online learning environments (OLEs). Therefore, a critical area for research is assessing the readiness of teachers in terms of their familiarity and preference for OLEs. In this study, we aimed to improve the experience and preference of in-service teacher trainees with OLEs during the Covid-19 pandemic in Ethiopia. To achieve this goal, questionnaires were used to gather data from in-service teacher trainees...

OBJECTIVE: This study aimed to assess the effectiveness of an interactive education approach in oral and maxillofacial radiology for dentists, utilizing the online interactive educational program Mentimeter. METHOD: Seven continuing education sessions for dentists in oral and maxillofacial radiology were conducted employing Mentimeter. Following these sessions, surveys gauged participants' responses to the learning method and its effectiveness. The questionnaire comprised 20 questions categorized into convenience, active learning, academic achievement, time management, and lecture quality...

STATEMENT OF PROBLEM: Despite their widespread use in various educational contexts, the integration of chatbots into dental clinical education has not been thoroughly investigated. The noted discrepancy signifies a lack of understanding of how chatbots could enhance the personalized and interactive learning experiences of predoctoral dental students. PURPOSE: The purpose of this study was to evaluate the awareness and perceptions of artificial intelligence (AI) technology, interaction experiences, and concerns about a custom-developed chatbot (CB) intervention in the clinical education of predoctoral dental students at the University of Illinois Chicago, College of Dentistry (UIC-COD) compared with the traditional Blackboard (BB) online platform...

AIM: This study aims to elicit graduate entry nursing students' views on factors that enable and constrain their learning engagement. BACKGROUND: Learning engagement has been associated with student retention/attrition and the achievement of learning confidence and success. While all students are subject to challenges that affect their learning engagement, those experienced by international students who are learning in a foreign and unfamiliar context are of particular concern to academics...

INTRODUCTION: Rare diseases (RDs) collectively impact over 30 million people in Europe. Most individual conditions have a low prevalence which has resulted in a lack of research and expertise in this field, especially regarding genetic newborn screening (gNBS). There is increasing recognition of the importance of incorporating patients' needs and general public perspectives into the shared decision-making process regarding gNBS. This study is part of the Innovative Medicine Initiative project Screen4Care which aims at shortening the diagnostic journey for RDs by accelerating diagnosis for patients living with RDs through gNBS and the use of digital technologies, such as artificial intelligence and machine learning...

BACKGROUND: Design thinking is an iterative process that innovates solutions through a person-centric approach and is increasingly used across health contexts. The person-centric approach lends itself to working with groups with complex needs. One such group is families experiencing economic hardship, who are vulnerable to food insecurity and face challenges with child feeding. OBJECTIVE: This study describes the application of a design thinking framework, utilizing mixed methods, including co-design, to develop a responsive child-feeding intervention for Australian families-'Eat, Learn, Grow'...

BACKGROUND: Hodgkin lymphoma (HL) survivors who received chest radiotherapy are at risk for breast cancer and cardiovascular disease, but screening adherence is low. We assessed the acceptability/feasibility of a web-based educational intervention and its impact on knowledge of health risks and screening. METHODS: HL survivors were randomized to either an interactive online educational intervention or handouts only. Surveys were completed at baseline and 3 months post-intervention...

BACKGROUND: PRiVENT (PRevention of invasive VENTilation) is an evaluation of a bundle of interventions aimed at the prevention of long-term invasive mechanical ventilation. One of these elements is an e-learning course for healthcare professionals to improve weaning expertise. The aim of our analysis is to examine the implementation of the course in cooperating intensive care units. METHODS: The course has been developed through a peer review process by pulmonary and critical care physicians in collaboration with respiratory therapists, supported by health services researchers and a professional e-learning agency...

BACKGROUND: Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target. Although there are a few online platforms based on deep learning for drug-target interaction, affinity, and binding sites identification, there is currently no integrated online platforms for all three aspects. RESULTS: Our solution, the novel integrated online platform Drug-Online, has been developed to facilitate drug screening, target identification, and understanding the functions of target in a progressive manner of "interaction-affinity-binding sites"...

BACKGROUND: Double lumen endobronchial tubes (DLTs) are frequently used to employ single lung ventilation strategies during thoracic surgical procedures. Placement of these tubes can be challenging even for experienced clinicians. We hypothesized that airway anatomy, particularly of the glottis and proximal trachea, significantly impacts the ease or difficulty in placement of these tubes. METHODS: Images from 24 randomly selected Positron Emission Tomography - Computed Tomography (PET-CT) scans were evaluated for several anatomic aspects of the upper airway, including size and angulation of the glottis and proximal tracheal using calibrated CT measurements and an online digital protractor...

AIM: To determine the influence of ergonomics on individual work performance of nurse educators working at home during the COVID-19 pandemic and to develop a model of the moderating effect of home environment. DESIGN: Cross-sectional, predictive-correlational design. METHODS: Utilizing interaction moderation and structural equation modeling, 214 consecutively-selected educators from nursing schools in the Greater Manila Area, Philippines completed a four-part online survey...

PURPOSE OF REVIEW: Access to evidence-based pharmacotherapy (EBP) is crucial in effectively managing allergies. Allergy conditions, including rhinitis, asthma, and dermatitis, require treatment guided by scientific evidence. However, healthcare professionals face challenges in accessing relevant information. RECENT FINDINGS: The dynamic nature of allergy research, coupled with limited resources and variability in practice guidelines, complicates decision-making...