Use of E-Portfolios in Health Professions Education

2018 ◽  
pp. 208-233 ◽  
Author(s):  
Andrew G. Pearson ◽  
Brooke E. Harris-Reeves ◽  
Lana J. Mitchell ◽  
Jessica J. Vanderlelie
Keyword(s):  
Case Studies ◽  
Real World ◽  
Digital Technologies ◽  
Health Professions ◽  
Professional Preparation ◽  
Employability Skills ◽  
Tertiary Institutions ◽  
Institutional Contexts ◽  
Research Questions ◽  
Support Students

In light of the changing landscape of workforce demand, digital technologies are becoming increasingly important to support students with their studies and professional preparation. As such, tertiary institutions are embedding curriculum approaches focused on the development of employability skills and drawing upon technology in order to prepare students for the real world of work in a manner that is scalable and transferable. Digital technologies such as ePortfolios have become an increasingly utilized platform for reflection, evidencing professional competencies and professional branding. Within this chapter, the authors discuss the benefits and limitations of these platforms from the perspectives of students, staff, professional, and institutional contexts. Case studies are utilzsed to demonstrate ePortfolios in practice across the allied health disciplines and key research questions and solutions for the future are discussed.

Promoting Democracy in a Depressed Economy through Business Education for National Security in Enugu State.

2019 ◽  
pp. 201-208
Author(s):  
Emeka Promise u. ◽  
Ohagwu Gold Chiamaka
Keyword(s):  
Standard Deviation ◽  
Data Collection ◽  
National Security ◽  
Survey Research ◽  
Business Education ◽  
Tertiary Institutions ◽  
Business Educators ◽  
Research Questions ◽  
Enugu State ◽  
Structured Questionnaire

This study was carried out to determine the measures for promoting democracy in a depressed economy through business education for national security in Enugu State. Two research questions and two null hypotheses were used for the study. The study adopted a survey research design. The population for the study was 41 business educators from four government owned tertiary institutions in Enugu State. There was no sampling since the population was manageable. The instrument for data collection was a structured questionnaire developed by the researchers and validated by the experts. The reliability of the instrument was determined using Cronbach Alpha, which yielded an overall index 0.72. Mean and standard deviation were used in answering research questions while hypotheses were tested using t-test. It was found that governmental measures items promoted democracy through business education for national security. The study also revealed that lecturers‟ measures also promotes democracy through business education for national security. It was recommended that: government should make adequate budgetary provision for business education. Democrats should be involved in business teacher‟s conferences and seminars.

scholarly journals Handrails through the Swamp? A Pilot to Test the Integration and Implementation Science Framework in Complex Real-World Research

2021 ◽  
Vol 13 (10) ◽  
pp. 5491
Author(s):  
Melissa Robson-Williams ◽  
Bruce Small ◽  
Roger Robson-Williams ◽  
Nick Kirk
Keyword(s):  
Pilot Study ◽  
Case Studies ◽  
Implementation Science ◽  
Real World ◽  
Environmental Problems ◽  
Environmental Research ◽  
Integrative Framework ◽  
The World ◽  
Science Framework ◽  
Real World Problems

The socio-environmental challenges the world faces are ‘swamps’: situations that are messy, complex, and uncertain. The aim of this paper is to help disciplinary scientists navigate these swamps. To achieve this, the paper evaluates an integrative framework designed for researching complex real-world problems, the Integration and Implementation Science (i2S) framework. As a pilot study, we examine seven inter and transdisciplinary agri-environmental case studies against the concepts presented in the i2S framework, and we hypothesise that considering concepts in the i2S framework during the planning and delivery of agri-environmental research will increase the usefulness of the research for next users. We found that for the types of complex, real-world research done in the case studies, increasing attention to the i2S dimensions correlated with increased usefulness for the end users. We conclude that using the i2S framework could provide handrails for researchers, to help them navigate the swamps when engaging with the complexity of socio-environmental problems.

Applying the Systems Evaluation Protocol in the real world: Six case studies

2021 ◽  
Vol 2021 (169) ◽  
pp. 65-77
Author(s):  
Jennifer Brown Urban ◽  
Miriam R. Linver ◽  
Lisa M. Chauveron ◽  
Thomas Archibald ◽  
Monica Hargraves ◽  
...  
Keyword(s):  
Case Studies ◽  
Real World ◽  
The Real ◽  
Evaluation Protocol

Mapping Senufo: Reframing Questions, Reevaluating Sources, and Reimagining a Digital Monograph

2021 ◽  
pp. 1-45
Author(s):  
Susan Elizabeth Gagliardi ◽  
Constantine Petridis
Keyword(s):  
Computational Methods ◽  
Knowledge Production ◽  
Knowledge Construction ◽  
Digital Technologies ◽  
Historical Research ◽  
Production Of Knowledge ◽  
Digital Publication ◽  
Politics Of Knowledge ◽  
Research Questions

Abstract Mapping Senufo: Art, Evidence, and the Production of Knowledge – an in-progress, collaborative, born-digital publication – will offer a model for joining theories about the construction of identities and the politics of knowledge production with research and publication practice. In this article, we examine how computational methods have led us to reframe research questions, reevaluate sources, and reimagine the form of a digital monograph. We also demonstrate how our use of digital technologies, attention to iteration, and collaborative mode of working have generated fresh insights into a corpus of arts identified as Senufo, the nature of evidence for art-historical research, and digital publication. We posit that the form of a digital publication itself can bring processes of knowledge construction to the fore and unsettle expectations of a tidy, authoritative narrative.

scholarly journals How to train your robot with deep reinforcement learning: lessons we have learned

2021 ◽  
pp. 027836492098785
Author(s):  
Julian Ibarz ◽  
Jie Tan ◽  
Chelsea Finn ◽  
Mrinal Kalakrishnan ◽  
Peter Pastor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Case Studies ◽  
Real World ◽  
Review Article ◽  
The Real ◽  
Complex Skills ◽  
Real World Learning ◽  
Level Sensor ◽  
Embodied Agent

Deep reinforcement learning (RL) has emerged as a promising approach for autonomously acquiring complex behaviors from low-level sensor observations. Although a large portion of deep RL research has focused on applications in video games and simulated control, which does not connect with the constraints of learning in real environments, deep RL has also demonstrated promise in enabling physical robots to learn complex skills in the real world. At the same time, real-world robotics provides an appealing domain for evaluating such algorithms, as it connects directly to how humans learn: as an embodied agent in the real world. Learning to perceive and move in the real world presents numerous challenges, some of which are easier to address than others, and some of which are often not considered in RL research that focuses only on simulated domains. In this review article, we present a number of case studies involving robotic deep RL. Building off of these case studies, we discuss commonly perceived challenges in deep RL and how they have been addressed in these works. We also provide an overview of other outstanding challenges, many of which are unique to the real-world robotics setting and are not often the focus of mainstream RL research. Our goal is to provide a resource both for roboticists and machine learning researchers who are interested in furthering the progress of deep RL in the real world.

scholarly journals Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing

2018 ◽  
Vol 2018 ◽  
pp. 1-22 ◽  
Author(s):  
Shuang Zhao ◽  
Xiapu Luo ◽  
Xiaobo Ma ◽  
Bo Bai ◽  
Yankang Zhao ◽  
...  
Keyword(s):  
Social Networks ◽  
Case Studies ◽  
Real World ◽  
Emission Reduction ◽  
Large Scale ◽  
Location Privacy ◽  
Mobile Apps ◽  
Physical World ◽  
Typical Type ◽  
Location Spoofing

Proximity-based apps have been changing the way people interact with each other in the physical world. To help people extend their social networks, proximity-based nearby-stranger (NS) apps that encourage people to make friends with nearby strangers have gained popularity recently. As another typical type of proximity-based apps, some ridesharing (RS) apps allowing drivers to search nearby passengers and get their ridesharing requests also become popular due to their contribution to economy and emission reduction. In this paper, we concentrate on the location privacy of proximity-based mobile apps. By analyzing the communication mechanism, we find that many apps of this type are vulnerable to large-scale location spoofing attack (LLSA). We accordingly propose three approaches to performing LLSA. To evaluate the threat of LLSA posed to proximity-based mobile apps, we perform real-world case studies against an NS app named Weibo and an RS app called Didi. The results show that our approaches can effectively and automatically collect a huge volume of users’ locations or travel records, thereby demonstrating the severity of LLSA. We apply the LLSA approaches against nine popular proximity-based apps with millions of installations to evaluate the defense strength. We finally suggest possible countermeasures for the proposed attacks.

scholarly journals Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE)—large electronically collected datasets, surveillance studies and individual patients’ cases

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nea Boman ◽  
Luis Fernandez-Luque ◽  
Ekaterina Koledova ◽  
Marketta Kause ◽  
Risto Lapatto
Keyword(s):  
Growth Hormone ◽  
Observational Study ◽  
Case Studies ◽  
Real World ◽  
Growth Disorders ◽  
Injection Device ◽  
Growth Outcomes ◽  
Real World Evidence ◽  
High Adherence

Abstract Background A range of factors can reduce the effectiveness of treatment prescribed for the long-term management of chronic health conditions, such as growth disorders. In particular, prescription medications may not achieve the positive outcomes expected because approximately half of patients adhere poorly to the prescribed treatment regimen. Methods Adherence to treatment has previously been assessed using relatively unreliable subjective methods, such as patient self-reporting during clinical follow-up, or counting prescriptions filled or vials returned by patients. Here, we report on a new approach, the use of electronically recorded objective evidence of date, time, and dose taken which was obtained through a comprehensive eHealth ecosystem, based around the easypod™ electromechanical auto-injection device and web-based connect software. The benefits of this eHealth approach are also illustrated here by two case studies, selected from the Finnish cohort of the easypod™ Connect Observational Study (ECOS), a 5-year, open-label, observational study that enrolled children from 24 countries who were being treated with growth hormone (GH) via the auto-injection device. Results Analyses of data from 9314 records from the easypod™ connect database showed that, at each time point studied, a significantly greater proportion of female patients had high adherence (≥ 85%) than male patients (2849/3867 [74%] vs 3879/5447 [71%]; P < 0.001). Furthermore, more of the younger patients (< 10 years for girls, < 12 years for boys) were in the high adherence range (P < 0.001). However, recursive partitioning of data from ECOS identified subgroups with lower adherence to GH treatment ‒ children who performed the majority of injections themselves at an early age (~ 8 years) and teenagers starting treatment aged ≥ 14 years. Conclusions The data and case studies presented herein illustrate the importance of adherence to GH therapy and how good growth outcomes can be achieved by following treatment as described. They also show how the device, software, and database ecosystem can complement normal clinical follow-up by providing HCPs with reliable information about patient adherence between visits and also providing researchers with real-world evidence of adherence and growth outcomes across a large population of patients with growth disorders treated with GH via the easypod™ device.

Human Factors in Architecture: A View from the Field

1982 ◽  
Vol 26 (2) ◽  
pp. 203-203
Author(s):  
James A. Wise
Keyword(s):  
Built Environment ◽  
Human Factors ◽  
Case Studies ◽  
Real World ◽  
Architectural Design ◽  
Recent Case ◽  
Panel Session ◽  
Real World Problems

This is a panel session focused on the applications of Human Factors to real world problems in architectural design. Five representatives from various design & research professions will present recent case studies of theirs, and examine the contribution that Human Factors made to these projects. The diversity of their examples shows the usefulness and importance on integrating concerns for the human user into plans for the built environment.

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