The Experience of A First-time Online Cultural Studies Instructor: A Case Study

With enrollment in online courses continuing to rise, student learning and satisfaction have become the focus of a growing body of research. However, the first-time online instructor experience has not been as widely investigated. This study examines the experience of Pamela, a first-time online Cultural Studies instructor, through a series of interviews conducted throughout the semester in order to track her progression at four points in the semester. It also seeks to determine what factors the first-time online instructor perceives to have the greatest impact on course creation and teaching strategies, namely the nature of the Cultural Studies course as implemented online, Pamela’s digital immigrant mindset and growth throughout the semester, best practices and constraints in distance education, and the results of best practice

A DELPHI analysis of the actions that need to be taken to develop a trauma-informed network

BACKGROUND: The outcomes of a traumatic experience can be wide-reaching, such that individuals who have experienced trauma may be at an elevated risk for behavioural problems, mental health problems, and physical conditions. As such trauma experience may necessitate frequent interactions with the care system across the lifespan. In order to effectively meet the needs of this population multidisciplinary collaboration is required. However this collaboration is hindered by differences in definitions of ‘trauma-informed care’ between organisations, and a recent proliferation of independent trauma-informed training programs being developed without communication or collaboration with the clients at risk. The current study aimed to utilise a combination of existing literature and a DELPHI analysis to develop an actionable list of aims, partners, and outcomes for developing a ‘trauma-informed network’. Our research questions are: 1) What components are required when developing a trauma-informed network?, 2) Which components are most important to developing a traumainformed network?, and 3) What actions need to be taken in order to facilitate these factors? METHODS: Item refinement was processed through the DELPHI analysis in up to six iterations aimed at developing an unbiased consensus (defined here as 70% agreement)16. All data was collected online and anonymously. Participant experts (N=33) were defined as ‘people with lived experience of trauma, or experience working in the care sector’. RESULTS: A list of eight theories were identified as relevant to the development of a trauma-informed network, however no clear consensus was reached on the order of importance. Agreement was reached that 34 stakeholders should be involved in decision-making. Twelve actions were identified as key outcomes for a trauma-informed network. Consensus was also reached on the order of importance of these actions. CONCLUSIONS: We have provided a short-list of the most important aims, partners, and actions to consider when developing a trauma-informed network. We have also provided considerations on how these can be implemented, based on the comments and experiences shared by our expert participants during the DELPHI process. We recommend that these outputs are taken under consideration when directing the focus and development of a trauma-informed network

“Let’s pull these technologies out of the ivory tower”: The politics, ethos, and ironies of participant-driven genomic research

This paper investigates how groups of ‘citizen scientists’ in non-traditional settings and primarily online networks claim to be challenging conventional genomic research processes and norms. Although these groups are highly diverse, they all distinguish their efforts from traditional university- or industry-based genomic research as being ‘participant-driven’ in one way or another. Participant-driven genomic research (PDGR) groups often work from ‘labs’ that consist of servers and computing devices as much as wet lab apparatus, relying on information-processing software for data-driven, discovery-based analysis rather than hypothesis-driven experimentation. We interviewed individuals from a variety of efforts across the expanding ecosystem of PDGR, including academic groups, start-ups, activists, hobbyists, and hackers, in order to compare and contrast how they relate their stated objectives, practices, and political and moral stances to institutions of expert scientific knowledge production. Results reveal that these groups, despite their diversity, share commitments to promoting alternative modes of housing, conducting, and funding genomic research and, ultimately, sharing knowledge. In doing so, PDGR discourses challenge existing approaches to research governance as well, especially the regulation, ethics, and oversight of human genomic information management. Interestingly, the reaction of the traditional genomics research community to this revolutionary challenge has not been negative: in fact, the community seems to be embracing the ethos espoused by PDGR, at the highest levels of science policy. As conventional genomic research assimilates the ethos of PDGR, the movement’s ‘democratizing’ views on research governance are likely to become normalized as well, creating new tensions for science policy and research ethics

Big data, open science and the brain: lessons learned from genomics

The BRAIN Initiative aims to break new ground in the scale and speed of data collection in neuroscience, requiring tools to handle data in the magnitude of yottabytes (1024). The scale, investment and organization of it are being compared to the Human Genome Project (HGP), which has exemplified “big science” for biology. In line with the trend towards Big Data in genomic research, the promise of the BRAIN Initiative, as well as the European Human Brain Project, rests on the possibility to amass vast quantities of data to model the complex interactions between the brain and behavior and inform the diagnosis and prevention of neurological disorders and psychiatric disease. Advocates of this “data driven” paradigm in neuroscience argue that harnessing the large quantities of data generated across laboratories worldwide has numerous methodological, ethical and economic advantages, but it requires the neuroscience community to adopt a culture of data sharing and open access to benefit from them. In this article, we examine the rationale for data sharing among advocates and briefly exemplify these in terms of new “open neuroscience” projects. Then, drawing on the frequently invoked model of data sharing in genomics, we go on to demonstrate the complexities of data sharing, shedding light on the sociological and ethical challenges within the realms of institutions, researchers and participants, namely dilemmas around public/private interests in data, (lack of) motivation to share in the academic community, and potential loss of participant anonymity. Our paper serves to highlight some foreseeable tensions around data sharing relevant to the emergent “open neuroscience” movement

Integrating genomics into clinical oncology: Ethical and social challenges from proponents of personalized medicine

The use of molecular tools to individualize health care, predict appropriate therapies and prevent adverse health outcomes has gained significant traction in the field of oncology, under the banner of “personalized medicine.” Enthusiasm for personalized medicine in oncology has been fueled by success stories of targeted treatments for a variety of cancers based on their molecular profiles. Though these are clear indications of optimism for personalized medicine, little is known about the ethical and social implications of personalized approaches in clinical oncology. The objective of this study is to assess how a range of stakeholders engaged in promoting, monitoring, and providing personalized medicine understand the challenges of integrating genomic testing and targeted therapies into clinical oncology. The study involved the analysis of in-depth interviews with 117 basic scientists, clinician-researchers, clinicians in private practice, health professional educators, representatives of funding agencies, medical journal editors, entrepreneurs, and insurers whose experiences and perspectives on personalized medicine span a wide variety of institutional and professional settings. Despite considerable enthusiasm for this shift, promoters, monitors and providers of personalized medicine identified four domains which will still provoke heightened ethical and social concerns: (1) informed consent for cancer genomic testing, (2) privacy, confidentiality, and disclosure of genomic test results, (3) access to genomic testing and targeted therapies in oncology, and (4) the costs of scaling up pharmacogenomic testing and targeted cancer therapies. These specific concerns are not unique to oncology, or even genomics. However, those most invested in the success of personalized medicine view oncologists’ responses to these challenges as precedent-setting because oncology is farther along the path of clinical integration of genomic technologies than other fields of medicine. This study illustrates that the rapid emergence of personalized medicine approaches in clinical oncology provides a crucial lens for identifying and managing potential frictions and pitfalls that emerge as health care paradigms shift in these directions

After the revolution? Ethical and social challenges in ‘personalized genomic medicine’

Personalized genomic medicine (PGM) is a goal that currently unites a wide array of biomedical initiatives, and is promoted as a ‘new paradigm for healthcare’ by its champions. Its promissory virtues include individualized diagnosis and risk prediction, more effective prevention and health promotion, and patient empowerment. Beyond overcoming scientific and technological hurdles to realizing PGM, proponents may interpret and rank these promises differently, which carries ethical and social implications for the realization of PGM as an approach to healthcare. We examine competing visions of PGM’s virtues and the directions in which they could take the field, in order to anticipate policy choices that may lie ahead for researchers, healthcare providers and the public

The influence of socio-demographic, psychological and knowledge-related variables alongside perceived cooking and food skills abilities in the prediction of diet quality in adults: a nationally representative cross-sectional study

Background: Interventions to increase cooking skills (CS) and food skills (FS) as a route to improving overall diet are popular within public health. This study tested a comprehensive model of diet quality by assessing the influence of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. The correspondence of two measures of diet quality further validated the Eating Choices Index (ECI) for use in quantitative research.Methods: A cross-sectional survey was conducted in a quota-controlled nationally representative sample of 1049 adults aged 20–60 years drawn from the Island of Ireland. Surveys were administered in participants’ homes via computer-assisted personal interviewing (CAPI) assessing a range of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. Regression models were used to model factors influencing diet quality. Correspondence between 2 measures of diet quality was assessed using chi-square and Pearson correlations.Results: ECI score was significantly negatively correlated with DINE Fat intake (r = -0.24, p < 0.001), and ECI score was significantly positively correlated with DINE Fibre intake (r = 0.38, p < 0.001), demonstrating a high agreement. Findings indicated that males, younger respondents and those with no/few educational qualifications scored significantly lower on both CS and FS abilities. The relative influence of socio-demographic, knowledge, psychological variables and CS and FS abilities on dietary outcomes varied, with regression models explaining 10–20 % of diet quality variance. CS ability exerted the strongest relationship with saturated fat intake (β = -0.296, p < 0.001) and was a significant predictor of fibre intake (β = -0.113, p < 0.05), although not for healthy food choices (ECI) (β = 0.04, p > 0.05).Conclusion: Greater CS and FS abilities may not lead directly to healthier dietary choices given the myriad of other factors implicated; however, CS appear to have differential influences on aspects of the diet, most notably in relation to lowering saturated fat intake. Findings suggest that CS and FS should not be singular targets of interventions designed to improve diet; but targeting specific sub-groups of the population e.g. males, younger adults, those with limited education might be more fruitful. A greater understanding of the interaction of factors influencing cooking and food practices within the home is needed

Exploring the Feasibility of Use of An Online Dietary Assessment Tool (myfood24) in Women with Gestational Diabetes

myfood24 is an online 24 hr dietary recall tool developed for nutritional epidemiological research. Its clinical application has been unexplored. This mixed methods study explores the feasibility and usability of myfood24 as a food record in a clinical population, women with gestational diabetes (GDM). Women were asked to complete five myfood24 food records, followed by a user questionnaire (including the System Usability Scale (SUS), a measure of usability), and were invited to participate in a semi-structured interview. Of the 199 participants, the mean age was 33 years, mean booking body mass index (BMI) 29.7 kg/m², 36% primiparous, 57% White, 33% Asian. Of these, 121 (61%) completed myfood24 at least once and 73 (37%) completed the user questionnaire; 15 were interviewed. The SUS was found to be good (mean 70.9, 95% CI 67.1, 74.6). Interviews identified areas for improvement, including optimisation for mobile devices, and as a clinical management tool. This study demonstrates that myfood24 can be used as an online food record in a clinical population, and has the potential to support self-management in women with GDM. However, results should be interpreted cautiously given the responders' demographic characteristics. Further research to explore the barriers and facilitators of uptake in people from ethnic minority and lower socioeconomic backgrounds is recommended