An investigation into the use of a blended model of learning

The weaknesses of ‗traditional‘ modes of instruction in accounting education have been widely discussed. Many contend that the traditional approach limits the ability to provide opportunities for students to raise their competency level and allow them to apply knowledge and skills in professional problem solving situations. However, the recent body of literature suggests that accounting educators are indeed actively experimenting with ‗non-traditional‘ and ‗innovative‘ instructional approaches, where some authors clearly favour one approach over another. But can one instructional approach alone meet the necessary conditions for different learning objectives? Taking into account the ever changing landscape of not only business environments, but also the higher education sector, the premise guiding the collaborators in this research is that it is perhaps counter productive to promote competing dichotomous views of ‗traditional‘ and ‗non-traditional‘ instructional approaches to accounting education, and that the notion of ‗blended learning‘ might provide a useful framework to enhance the learning and teaching of accounting. This paper reports on the first cycle of a longitudinal study, which explores the possibility of using blended learning in first year accounting at one campus of a large regional university. The critical elements of blended learning which emerged in the study are discussed and, consistent with the design-based research framework, the paper also identifies key design modifications for successive cycles of the research

Avoiding disclosure of individually identifiable health information: a literature review

Achieving data and information dissemination without arming anyone is a central task of any entity in charge of collecting data. In this article, the authors examine the literature on data and statistical confidentiality. Rather than comparing the theoretical properties of specific methods, they emphasize the main themes that emerge from the ongoing discussion among scientists regarding how best to achieve the appropriate balance between data protection, data utility, and data dissemination. They cover the literature on de-identification and reidentification methods with emphasis on health care data. The authors also discuss the benefits and limitations for the most common access methods. Although there is abundant theoretical and empirical research, their review reveals lack of consensus on fundamental questions for empirical practice: How to assess disclosure risk, how to choose among disclosure methods, how to assess reidentification risk, and how to measure utility loss.public use files, disclosure avoidance, reidentification, de-identification, data utility

Fostering college and career readiness: how career development activities in schools impact on graduation rates and students' life success

This paper sets out the recent evidence around career development. This evidence is examined within the context of the college and career readiness agenda. The argument is made that in order for young people to be genuinely “ready” for both college and career they need to have attended to their academic achievement, their aspirations and plans for the future, their ability to make transitions and their ability to direct their own careers. It is argued that career development offers schools a body of practice that has been shown to have a positive impact on young people’s readiness for college and career. The report acknowledges that the provision of career development has been in decline in many North American schools despite evidence of its effectiveness. Given the current instability of the labor market, the increasing complexity of the education system and the need to grow the skills base of the workforce in a competitive global market, failing to attend to young people’s careers seems shortsighted. As this paper shows, there is a strong body of evidence which demonstrates that career development activity in schools can help young people to experience academic achievement, successfully transition to the labor market and live happier and more productive lives. It is hoped that setting out the evidence in this area of research will provide policy makers and school leaders with the resources required to make informed decisions and to support the development of the future generations of talent. The paper explores the impacts of career development in relation to four main questions: • Does career development engage young people in their schooling and help keep them attending school? • Does career development positively impact on young people’s academic achievement? • Does career development assist young people in making successful transitions to college or the labor market? • Does career development have a positive effect on people’s career and life success?Career Cruisin

Still No Jetpacks or Gender Parity: Animated Film from 1980 through 2016

This study examines the gender ratio of characters in the 150 top-grossing full-length animated films from 1980 through 2016. Results show that males hold an overwhelming majority of both central and auxiliary roles. Male characters fill significantly more of the lead or protagonist roles, the speaking roles, the members of the protagonist’s main gang, and the film’s titles. No significant change has occurred over the years (1980–2016) to alter the gender balance; however, an increase in female authors and screenwriters corresponds with an increase in female characters in all of these roles. The underrepresentation of female characters in animated films exemplifies the ways in which popular media reflects and reproduces social inequality

Mobile Communication Signatures of Unemployment

The mapping of populations socio-economic well-being is highly constrained by the logistics of censuses and surveys. Consequently, spatially detailed changes across scales of days, weeks, or months, or even year to year, are difficult to assess; thus the speed of which policies can be designed and evaluated is limited. However, recent studies have shown the value of mobile phone data as an enabling methodology for demographic modeling and measurement. In this work, we investigate whether indicators extracted from mobile phone usage can reveal information about the socio-economical status of microregions such as districts (i.e., average spatial resolution < 2.7km). For this we examine anonymized mobile phone metadata combined with beneficiaries records from unemployment benefit program. We find that aggregated activity, social, and mobility patterns strongly correlate with unemployment. Furthermore, we construct a simple model to produce accurate reconstruction of district level unemployment from their mobile communication patterns alone. Our results suggest that reliable and cost-effective economical indicators could be built based on passively collected and anonymized mobile phone data. With similar data being collected every day by telecommunication services across the world, survey-based methods of measuring community socioeconomic status could potentially be augmented or replaced by such passive sensing methods in the future

Self-monitoring Practices, Attitudes, and Needs of Individuals with Bipolar Disorder: Implications for the Design of Technologies to Manage Mental Health

Objective To understand self-monitoring strategies used independently of clinical treatment by individuals with bipolar disorder (BD), in order to recommend technology design principles to support mental health management. Materials and Methods Participants with BD (N = 552) were recruited through the Depression and Bipolar Support Alliance, the International Bipolar Foundation, and WeSearchTogether.org to complete a survey of closed- and open-ended questions. In this study, we focus on descriptive results and qualitative analyses. Results Individuals reported primarily self-monitoring items related to their bipolar disorder (mood, sleep, finances, exercise, and social interactions), with an increasing trend towards the use of digital tracking methods observed. Most participants reported having positive experiences with technology-based tracking because it enables self-reflection and agency regarding health management and also enhances lines of communication with treatment teams. Reported challenges stem from poor usability or difficulty interpreting self-tracked data. Discussion Two major implications for technology-based self-monitoring emerged from our results. First, technologies can be designed to be more condition-oriented, intuitive, and proactive. Second, more automated forms of digital symptom tracking and intervention are desired, and our results suggest the feasibility of detecting and predicting emotional states from patterns of technology usage. However, we also uncovered tension points, namely that technology designed to support mental health can also be a disruptor. Conclusion This study provides increased understanding of self-monitoring practices, attitudes, and needs of individuals with bipolar disorder. This knowledge bears implications for clinical researchers and practitioners seeking insight into how individuals independently self-manage their condition as well as for researchers designing monitoring technologies to support mental health management