Using The Jeopardy Game To Enhance Student Understanding Of Accounting Information Systems (AIS) Exam Material

Accounting research has included many suggestions for increasing active learning in the classroom. These include journal writing, role-playing and playing games (Haywood, McMullen, and Wygal 2004). The use of games in class is an effective tool to stimulate interest, reduce boredom, and enhance learning among the students. The popular TV game show “Jeopardy!” was employed to review students for an undergraduate accounting information systems (AIS) exam. Pre/post test results reflect a significant increase in the students’ understanding of AIS exam material that was covered. Overall the students agreed that the game was enjoyable and requested that they be able to review for other exams in a similar manner

The War On Fraud: Reducing Cheating In The Classroom

The purpose of this article is to alert and inform the reader of the rampant amount of fraud (cheating) that is taking place in the classrooms across the country and to provide some measures that can be employed to reduce the likelihood of it happening in your classroom. Cheating is analyzed and diagnosed utilizing the components of the fraud triangle (pressure, opportunity, and rationalization). Activities to promote ethical behavior and making it more difficult to rationalize cheating are proposed. Strategies for reducing the opportunity to cheat are also included. “In the broadest sense, fraud can encompass any crime for gain that uses deception as its principal modus operandi” (Wells, 2005

The Impact Of Different Uses Of Information Technology On Business Processes And Performance: An Active Learning Exercise

Information technology (IT) spending now accounts for 23% of private non-resident investment, totaling $305 billion and nearly equaling the investments in structures and outstripping all other categories. Notwithstanding IT’s importance the study of how different uses of IT have varying impacts on organizational processes and performance is the focus of few teaching materials. Since most students lack work experience, having students fully appreciate the nature and performance impacts of different uses of IT is challenging. To address this, we propose using the Aero-BAK Inc. simulation as a single class period active learning exercise. In the simulation students experience how the impacts of technologies that enhance communication and analysis capabilities (a surrogate for investment in informating IT) are different from those that perform physical tasks via a “robot” (a surrogate for automating IT). This helps students make more informed IT capital budgeting decisions. The exercise can be used in an introductory AIS, MIS, or operations management course, and with any textbook

Adolescents' exposure to tobacco and alcohol content in YouTube music videos

AIMS: To quantify tobacco and alcohol content, including branding, in popular contemporary YouTube music videos; and measure adolescent exposure to such content. DESIGN: Ten-second interval content analysis of alcohol, tobacco or electronic cigarette imagery in all UK Top 40 YouTube music videos during a 12-week period in 2013/14; on-line national survey of adolescent viewing of the 32 most popular high-content videos. SETTING: Great Britain. PARTICIPANTS: A total of 2068 adolescents aged 11–18 years who completed an on-line survey. MEASUREMENTS: Occurrence of alcohol, tobacco and electronic cigarette use, implied use, paraphernalia or branding in music videos and proportions and estimated numbers of adolescents who had watched sampled videos. FINDINGS: Alcohol imagery appeared in 45% [95% confidence interval (CI) = 33–51%] of all videos, tobacco in 22% (95% CI = 13–27%) and electronic cigarettes in 2% (95% CI = 0–4%). Alcohol branding appeared in 7% (95% CI = 2–11%) of videos, tobacco branding in 4% (95% CI = 0–7%) and electronic cigarettes in 1% (95% CI = 0–3%). The most frequently observed alcohol, tobacco and electronic cigarette brands were, respectively, Absolut Tune, Marlboro and E-Lites. At least one of the 32 most popular music videos containing alcohol or tobacco content had been seen by 81% (95% CI = 79%, 83%) of adolescents surveyed, and of these 87% (95% CI = 85%, 89%) had re-watched at least one video. The average number of videos seen was 7.1 (95% CI = 6.8, 7.4). Girls were more likely to watch and also re-watch the videos than boys, P < 0.001. CONCLUSIONS: Popular YouTube music videos watched by a large number of British adolescents, particularly girls, include significant tobacco and alcohol content, including branding

Health technologies ‘In the wild’: experiences of engagement with computerised CBT

The widespread deployment of technology by professional health services will provide a substantial opportunity for studies that consider usage in naturalistic settings. Our study has documented experiences of engaging with technologies intended to support recovery from common mental health problems, often used as a part of a multi-year recovery process. In analyzing this material, we identify issues of broad interest to effective health technology design, and reflect on the challenge of studying engagement with health technologies over lengthy time periods. We also consider the importance of designing technologies that are sensitive to the needs of users experiencing chronic health problems, and discuss how the term sensitivity might be defined in a technology design context

Mapping the Aurora using social media: new scientific data for nowcasting and forecasting space weather?

“How far south will the aurora borealis be seen?” is a common question asked when a geomagnetic storm forecast is issued. It is not a straightforward answer; and current projections based, for example, on Kp do not always match sighting reports received after a display. Citizen science – engaging the general public to aid scientific research - may be one way of tackling this issue. By using social media, such as Twitter, a new source of data can be mined for scientific analysis. We present a new interactive web application to gather relevant tweets about the aurora and display these on a map. This tool has been created in JavaScript using the Twitter API and a customised application template from ESRI. We use both active and passive means to gather data. We actively encourage users to tweet using a known hashtag (#BGSaurora) with their location in a prescribed format. This will geo-locate the tweet and place a marker on the map reporting the sighting. We can also passively search tweets for more general hashtags such as #aurora or #northernlights. If these are geo-tagged they again can be mapped. Other relevant data layers, such as cloud cover and geomagnetic activity levels, can also be displayed. We present the aurora sightings map and discuss the benefits of it both as an application to engage the general public, helping them to see when and where aurora are visible, and as a potential tool for gathering useful data for scientific analysis. If a better indicator of geomagnetic activity levels relevant for aurora viewing can be determined from these then this in turn will improve future predictions for aurora enthusiasts

Multitask feature selection within structural datasets

Population-based structural health monitoring (PBSHM) systems use data from multiple structures to make inferences of health states. An area of PBSHM that has recently been recognized for potential development is the use of multitask learning (MTL) algorithms that differ from traditional single-task learning. This study presents an application of the MTL approach, Joint Feature Selection with LASSO, to provide automatic feature selection. The algorithm is applied to two structural datasets. The first dataset covers a binary classification between the port and starboard side of an aircraft tailplane, for samples from two aircraft of the same model. The second dataset covers normal and damaged conditions for pre- and postrepair of the same aircraft wing. Both case studies demonstrate that the MTL results are interpretable, highlighting features that relate to structural differences by considering the patterns shared between tasks. This is opposed to single-task learning, which improved accuracy at the cost of interpretability and selected features, which failed to generalize in previously unobserved experiments

Does mode of administration affect health-related quality-of-life outcomes after stroke?

Telephone interviews and postal surveys may be a resource-efficient way of assessing health-related quality-of-life post-stroke, if they produce data equivalent to face-to-face interviews. This study explored whether telephone interviews and postal surveys of the Stroke and Aphasia Quality of Life Scale (SAQOL-39g) yielded similar results to face-to-face interviews. Participants included people with aphasia and comprised two groups: group one (n =22) were 3-6 months post-stroke; group two (n =26) were ≥1 year post-stroke. They completed either a face-to-face and a telephone interview or a face-to-face interview and a postal survey of the SAQOL-39g. Response rates were higher for group two (87%) than for group one (72-77%). There were no significant differences between respondents and non-respondents on demographics, co-morbidities, stroke severity, or communication impairment. Concordance between face-to-face and telephone administrations (.90-.98) was excellent; and very good-excellent between face-to-face and postal administrations (.84-.96), although scores in postal administrations were lower (significant for psychosocial domain and overall SAQOL-39g in group two). These findings suggest that the SAQOL-39g yields similar results in different modes of administration. Researchers and clinicians may employ alternative modes, particularly in the longer term post-stroke, in order to reduce costs or facilitate clients with access difficulties