CARDIAC ANAESTHESIA SIMULATION TRAINING (CAST)

Aims(1) Understand the impact of cardiopulmonary bypass (CPB), (2) Manage complications arising during CPB, Clarify roles of team members, (3) Practice team communication for coordinated patient care.BackgroundThe cardiac anaesthesia setting is a highly dynamic environment requiring continuous processing of feedback from multiple sources. CAST is a valuable enhancement to prepare and orientate residents to the high risk environment. We report our continuing efforts to develop CAST for our first year anaesthesia residents using a high-fidelity simulator, adapted to simulate the CPB state.MethodologyThe course is led by a multidisciplinary faculty, including surgeons and perfusionists. The simulation scenarios focused on management of complications during CPB, re-warming and weaning from bypass (e.g. arrhythmias, electrolyte abnormalities and protamine reactions). This is followed by facilitated debriefing. Pre-reading, pre-/post-tests and short didactics are also used to augment the learning experience.OutcomesTo date, 26 residents have undergone CAST, including 2 cardiac surgical residents, who found CAST useful in fostering inter-professional understanding and learning. 92% of the residents scored CAST ‘Excellent or Good’ for clarity of the course objectives, 84% for reinforcing knowledge, and 66.6% for‖improvement of communication. The challenges faced by faculty included getting buy-in from stake-holders from different disciplines, securing protected time for residents and faculty, and developing a comprehensive lesson plan to address different training needs of the multidisciplinary team. Recommendations and take home messages CAST scenarios with varying complexity targeted at training our advanced residents are currently in development. There is also potential to develop a separate course with an emphasis on non-technical skills (e.g. team‖communication) and inter-professional education.

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A Challenge-Based Learning Experience in Industrial Engineering in the Framework of Education 4.0

Sustainability ◽

10.3390/su13179867 ◽

2021 ◽

Vol 13 (17) ◽

pp. 9867

Author(s):

Yadira Gutiérrez-Martínez ◽

Rogelio Bustamante-Bello ◽

Sergio A. Navarro-Tuch ◽

Ariel A. López-Aguilar ◽

Arturo Molina ◽

...

Keyword(s):

Professional Education ◽

Learning Experience ◽

Product Analysis ◽

Interconnected System ◽

Challenge Based Learning ◽

Traditional Training ◽

Implementation Methodology ◽

Emotional Domotics ◽

The Impact ◽

The Internet Of Things

Current tendencies of product, project and services development focus on a higher consideration of the User Experience (UX). Therefore, traditional training and teaching methodologies need to adapt to prepare the students to develop strategies for problem solving for their professional education. Such needs have risen and interest in tendencies such as education and Industry 4.0 has grown. This paper presents and analyzes the process and results of a teaching implementation methodology based on Challenge-Based Learning (CBL). The paper describes the process followed, explaining the methodology precedents that led to the final implementation case. It also mentions previous experiments on product analysis and home automation developments that are linked to implementation of the technology. This case’s implementation, analysis and experimentation integrated the use of Emotional Domotics (ED) Tools for the UX analysis, to grant feedback and compare the students’ results with the bio-metrical and emotional computational analysis. The methodology, described through this document, allowed the students to better understand and experience some of the implications of an interconnected system with instant information feedback. This allowed them to better grasp part of the impact that the tendency towards the Internet of Things (IoT) is currently having, and the impact of the improvement proposals from the students.

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Emotional Conversations in Command and Control: The Impact of Mood and Stress on Computer-Mediated Team Communication Behaviors

PsycEXTRA Dataset ◽

10.1037/e578392012-002 ◽

2009 ◽

Author(s):

Mark S. Pfaff

Keyword(s):

Command And Control ◽

Team Communication ◽

Communication Behaviors ◽

Computer Mediated ◽

And Control ◽

The Impact

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The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

Research in World Economy ◽

10.5430/rwe.v10n4p106 ◽

2019 ◽

Vol 10 (4) ◽

pp. 106

Author(s):

Bader A. Alyoubi

Keyword(s):

Saudi Arabia ◽

Big Data ◽

Inventory Management ◽

New Technologies ◽

Predictive Analytics ◽

Business Environment ◽

Primary Data ◽

Research Approach ◽

Multiple Sources ◽

The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

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Promoting the Quality of Life of Elderly during the COVID-19 Pandemic

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18136813 ◽

2021 ◽

Vol 18 (13) ◽

pp. 6813

Author(s):

Chia-Jung Lee ◽

Yen Hsu

Keyword(s):

Quality Of Life ◽

Mental Health ◽

Learning Experience ◽

The Elderly ◽

Learning Approach ◽

Learning Center ◽

Learning Centers ◽

Technology Learning ◽

The Impact

This study explored the technology learning model of the elderly in a senior learning center under the impact of the COVID-19 pandemic. Many senior learning centers were closed during the pandemic, and many of them adopted the mode of online education. However, problems such as decreased motivation and a lack of peer interaction still exist. To solve these problems, this study used the easy-to-implement calligraphy AR approach and E-book approach to conduct a quasi-experiment on the elderly of a calligraphy course offered by a senior learning center. The results show a higher learning motivation among the elderly who use calligraphy AR. The learning effectiveness and technology acceptance of the elderly in the E-book learning group were higher than those in the calligraphy AR group. The elderly mentioned that the E-book learning approach is more user-friendly. In general, in the face of the COVID-19 pandemic affecting the suspension of classes in senior centers, education through the development of technology has stimulated the growth of education in advanced learning centers. Through this kind of scientific and technological learning method, it will bring a whole new experience to the elderly. It can improve the stress relief methods, mental health, and quality of life of the elderly during the COVID-19 emergency shutdown, and provide a novel calligraphy technique learning experience for the elderly. Therefore, we believe that the calligraphy AR learning approach and the calligraphy E-book learning approach are practical and may promote quality of life and mental health of the elderly during the emergency closures due to COVID-19, providing elderly attendees with a novel calligraphy technology learning experience.

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The Use of Twitter as an Interactive Learning Tool Within a Postgraduate Public Health Course: A Pilot Study

Pedagogy in Health Promotion ◽

10.1177/2373379920978429 ◽

2020 ◽

pp. 237337992097842

Author(s):

Rimante Ronto ◽

Alexandra Bhatti ◽

Josephine Chau

Keyword(s):

Public Health ◽

Online Survey ◽

Learning Experience ◽

Empirical Studies ◽

Teaching Staff ◽

Learning Tool ◽

Interactive Approach ◽

Master Of Public Health ◽

Use Of Social Media ◽

The Impact

Twitter has gained attention in recent years as a tool to use in higher education to enhance students’ learning, engagement, and reflective writing. This study explored public health students’ perceptions on the usefulness of Twitter as a learning tool, engagement with their peers, staff, and the broader public health community. Participants were Master of Public Health students from a public university based in Sydney, Australia. A mixed methods approach was used combining content analysis of tweets, an online survey and two focus groups. Students were asked to engage with Twitter by reflecting on each week’s teaching content and by liking and replying to their peers’ tweets. Participation and engagement in this task were high initially and declined toward the end of semester. Most student tweets aligned with topics taught during the semester. Survey and focus group data indicated most students had positive views on using Twitter and reported finding engagement with Twitter beneficial in obtaining current information on health promotion news and trends, increasing their professional networks and allowing them to connect with their peers and teaching staff. Results indicate Twitter is a promising interactive approach to enhance public health students’ engagement and overall learning experience, as well as being useful for professional networking. Larger scale empirical studies are needed to investigate the impact of the use of social media platforms such as Twitter to various learning outcomes longitudinally and beyond this course.

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The Impact of Live Cases on Student Skill Development in Marketing Courses

Journal of Marketing Education ◽

10.1177/02734753211034553 ◽

2021 ◽

pp. 027347532110345

Author(s):

Shannon Cummins ◽

Jeff S. Johnson

Keyword(s):

Time Management ◽

Learning Experience ◽

Skill Development ◽

Handling Time ◽

Thinking Skills ◽

Critical Thinking Skills ◽

Small Samples ◽

Conflict Handling ◽

Student Skill ◽

The Impact

Live cases, where students work directly with an outside organization to solve real-world problems, can be an immersive learning experience for marketing students. Current scholarship on live case usage in marketing is limited to small samples from a handful of live case devotees. This article draws from a large, international sample of 169 marketing educators to investigate the perceived educational impacts of live cases on student skill development. Specifically, the paper explores student teamwork, conflict handling, time management, presentation, communication, and critical thinking skills. Additionally, the article explores how student skill development is affected by the amount of course time dedicated to the live case as well as faculty experience with live cases.

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An Analysis of The Impact of Short-Term Vacation Rentals on the Hotel Industry

Journal of Hospitality & Tourism Research ◽

10.1177/10963480211019110 ◽

2021 ◽

pp. 109634802110191

Author(s):

Jungtae Soh ◽

Kwanglim Seo

Keyword(s):

Economic Effect ◽

Hotel Industry ◽

Price Difference ◽

Multiple Sources ◽

Short Term ◽

Hotel Performance ◽

Negative Effect ◽

Research Gap ◽

The Impact ◽

Scholarly Attention

Much scholarly attention has been paid to Airbnb’s influence on the hotel industry. However, extant studies have limitations because they consider only Airbnb while overlooking various other short-term vacation rental players that can also affect performance of hotels. To address this research gap, this study aims to provide a broader understanding of the impacts of short-term vacation rentals by analyzing data obtained from various vacation rental platforms. This study shows that while increase in short-term vacation rentals has an overall negative effect on hotel performance, the economic effect is more significant in the low-end market than in the high-end market. Our findings further reveal that the negative effect is reduced when there is a large price difference between short-term vacation rentals and hotels. By comprehensively examining multiple sources of data on hotels and vacation rentals, this study brings alternative perspectives to the attention of researchers for further investigation of vacation rentals.

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Photovoltaic Power Forecasting: Assessment of the Impact of Multiple Sources of Spatio-Temporal Data on Forecast Accuracy

Energies ◽

10.3390/en14051432 ◽

2021 ◽

Vol 14 (5) ◽

pp. 1432

Author(s):

Xwégnon Ghislain Agoua ◽

Robin Girard ◽

Georges Kariniotakis

Keyword(s):

Satellite Images ◽

Forecast Accuracy ◽

Absolute Error ◽

Data Sources ◽

Test Case ◽

Temporal Data ◽

Multiple Sources ◽

Forecasting Error ◽

Spatio Temporal ◽

The Impact

The efficient integration of photovoltaic (PV) production in energy systems is conditioned by the capacity to anticipate its variability, that is, the capacity to provide accurate forecasts. From the classical forecasting methods in the state of the art dealing with a single power plant, the focus has moved in recent years to spatio-temporal approaches, where geographically dispersed data are used as input to improve forecasts of a site for the horizons up to 6 h ahead. These spatio-temporal approaches provide different performances according to the data sources available but the question of the impact of each source on the actual forecasting performance is still not evaluated. In this paper, we propose a flexible spatio-temporal model to generate PV production forecasts for horizons up to 6 h ahead and we use this model to evaluate the effect of different spatial and temporal data sources on the accuracy of the forecasts. The sources considered are measurements from neighboring PV plants, local meteorological stations, Numerical Weather Predictions, and satellite images. The evaluation of the performance is carried out using a real-world test case featuring a high number of 136 PV plants. The forecasting error has been evaluated for each data source using the Mean Absolute Error and Root Mean Square Error. The results show that neighboring PV plants help to achieve around 10% reduction in forecasting error for the first three hours, followed by satellite images which help to gain an additional 3% all over the horizons up to 6 h ahead. The NWP data show no improvement for horizons up to 6 h but is essential for greater horizons.

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