Using MediaWiki as an efficient data repository and ubiquitous learning tool : an Australian example

The functionality of MediaWiki ensures it is a valuable learning repository for sharing and storing information. Constructivist learning can be promoted alongside a wiki repository and various wireless u-learning tools such as mobile phones and digital cameras, to encourage students to gather and share a range of primary and secondary information in a variety of subject areas. This paper outlines one initiative adopted at an Australian University specialising in distance education, which uses a MediaWiki as the primary method for content delivery. Over a period of three-years, the Drugs, Crime and Society wiki has evolved into an organic information repository for storing and accessing current research, press and drug agency material that supplements core themes examined in each topic of the curriculum. A constructivist approach has been employed to encourage students to engage in a range of assessable and non-assessable information sharing activities. The paper also demonstrates how the Drugs, Crime and Society wiki can be accessed through various wireless u-learning technologies, which enables students undertaking field placements to add and share primary information with other students and practitioners working in the drugs field.

Living the good life : how content providers can better conceptualize the content requirements of the ubiquitous technology user

Content provision via ubiquitous technology platforms such as smart mobile phones and personal digital assistants raises interesting practical and research challenges. Many current theoretical frameworks and models are based on assumptions which may not necessarily be valid in the case of ubiquitous technologies, which users employ in a variety of contexts and for different reasons. In this research-in-progress paper we explore how content providers can better conceptualize the content requirements of ubiquitous technology users. We introduce the principle of Continuous Quality of Life Optimization as a theoretical concept to understand the content requirements of these users. We put forth a number of propositions to guide further research and provide details about our own research approach, in which we are exploring ubiquitous content provision from the perspective of content providers.

Web usability guidelines for smartphones : a synergic approach

The mobile phones that we carry with us all the time have started becoming increasingly sophisticated and consequently are referred to as “Smartphones”. Smartphones today are extremely powerful and, in addition to making phone calls, are capable of performing a variety of other functions. One very important function is the ability to access the Internet for a wide number of purposes. An obstacle that these users face is that access to the Internet is through a tiny interface, which is in sharp contrast to the typically large, flat-screen monitor. Unfortunately, many websites are neither designed for nor suitable to be accessed from these small devices. With relatively little effort, however, the developers of the websites can make the web interfaces more appropriate for Smartphones and hence accessible to a much larger audience. In this paper, we focus on “web usability”, a term essentially concerned with the ease of accessing and entering information on websites. We compile and synergize several different guidelines with the intent of increasing the web usability of Smartphones.

Augmenting trust establishment in dynamic systems with social networks

Social networking has recently flourished in popularity through the use of social websites. Pervasive computing resources have allowed people stay well-connected to each other through access to social networking resources. We take the position that utilizing information produced by relationships within social networks can assist in the establishment of trust for other pervasive computing applications. Furthermore, we describe how such a system can augment a sensor infrastructure used for event observation with information from mobile sensors (ie, mobile phones with cameras) controlled by potentially untrusted third parties.

Smartphone malware based on synchronisation vulnerabilities

Smartphones are mobile phones that offer processing power and features like personal computers (PC) with the aim of improving user productivity as they allow users to access and manipulate data over networks and Internet, through various mobile applications. However, with such anywhere and anytime functionality, new security threats and risks of sensitive and personal data are envisaged to evolve. With the emergence of open mobile platforms that enable mobile users to install applications on their own, it opens up new avenues for propagating malware among various mobile users very quickly. In particular, they become crossover targets of PC malware through the synchronization function between smartphones and computers. Literature lacks detailed analysis of smartphones malware and synchronization vulnerabilities. This paper addresses these gaps in literature, by first identifying the similarities and differences between smartphone malware and PC malware, and then by investigating how hackers exploit synchronization vulnerabilities to launch their attacks.

Chemical education research

Every field of knowledge has two aspects: a practice component, and research into the advancement of the discipline. Chemical education is the same. Chemical education research (CER) aims to evaluate improvements and innovation in practice and also investigate how students learn chemistry. Examples illustrate the scope of CER, with analogies to better well-known examples of research in chemistry.

One recurring theme in chemical education is the improvement of existing laboratory exercises, the development of new laboratory exercises, and the testing of the activities to ensure their scientific validity and robustness, and finally evaluation and feedback to assess the effectiveness of the experiment by students and teaching staff.

Another active area of research is the analysis of curriculum in terms of logical versus psychological progressions of topics order, and trials on better sequences of topics for better outcomes.

have lead to advances in chemistry, with microwave-assisted synthesis, microfluidic devices, and better spectrometers to name just a few. So too, advances in technology have changed the practice of chemical education.

Other CER has examined new uses for mobile phones, using podcasts to enhance lectures, as flashcards, or to access chemistry resources, student-created videos and photo blogs, and other advances in technology.

Yet another area of CER is in the development and validation of these survey instruments.

Research is about collecting proof to support or refute a hypothesis. Chemical education research is no different. Chemical education seeks to improve the learning of chemical science. Chemical education research collects data to evaluate whether a particular course of action is good or bad for learning.

Digital natives? : new and old media and children’s language acquisition

The current generation of young children has been described as “digital natives”, having been born into a ubiquitous digital media environment. They are envisaged as educationally independent of the guided interaction provided by “digital immigrants”: parents and teachers. This paper uses data from the multiples waves of the Longitudinal Study of Australian Children (LSAC) to study the effect of various media on children’s development of vocabulary and traditional literacy. Previous research has suggested that time spent watching television is associated with less time spent reading, and ultimately, with inferior educational outcomes. The early studies of the “new” digital media (computers, games consoles, mobile phones, the Internet, etc.) assumed these devices would have similar effects on literacy outcomes to those associated with television. Moreover, these earlier studies relied on poorer measures of time spent in media use and usually did not control for the context of the child’s media use. Fortunately, LSAC contains measures of access to digital devices; parental mediation practices; the child’s use of digital devices as recorded in time use diaries; direct measures of the child’s passive vocabulary; and teachers’ ratings of the child’s literacy. The analysis presented shows the importance of the parental context framing the child’s media use in promoting the acquisition of vocabulary, and suggests that computer (but not games) use is associated with more developed language skills. Independently of these factors, raw exposure to television is not harmful to learning, as previously thought.

Towards an understanding of the impact of advertising on data leaks

Recent investigations have determined that many Android applications in both official and non-official online markets expose details of the user's mobile phone without user consent. In this paper, for the first time in the research literature, we provide a full investigation of why such applications leak, how they leak and where the data is leaked to. In order to achieve this, we employ a combination of static and dynamic analysis based on examination of Java classes and application behaviour for a data set of 123 samples, all pre-determined as being free from malicious software. Despite the fact that anti-virus vendor software did not flag any of these samples as malware, approximately 10% of them are shown to leak data about the mobile phone to a third-party; applications from the official market appear to be just as susceptible to such leaks as applications from the non-official markets.

Cardiovascular disease self-management: pilot testing of an mHealth healthy eating program

Cardiac rehabilitation (CR) is crucial in the management of cardiovascular disease (CVD), yet attendance is poor. Mobile technology (mHealth) offers a potential solution to increase reach of CR. This paper presents two development studies to determine mobile phone usage in adults with CVD and to evaluate the acceptability of an mHealth healthy eating CR program. Methods: CR attendees were surveyed to determine mobile phone usage rates. A second single-subject pilot study investigated perceptions of a 4-week theory-based healthy eating mHealth program and explored pre-post changes in self-efficacy. Results: 74 adults with CVD completed the survey (50/74 male; mean age 63 ± 10). Nearly all had mobile phones (70/74; 95%) and used the Internet (69/74; 93%), and most were interested in receiving CR by text message (57/74; 77%). 20 participants took part in the healthy eating pilot study. Participants read all/most of the text messages, and most (19/20) thought using mobile technology was a good way to deliver the program. The website was not widely used as visiting the website was reported to be time consuming. Exploratory t-tests revealed an increase in heart healthy eating self-efficacy post program, in particular the environmental self-efficacy subset (Mean = 0.62, SD = 0.74, p = 0.001). Conclusions: Text messaging was seen as a simple and acceptable way to deliver nutrition information and behavior change strategies; however, future research is needed to determine the effectiveness of such programs.

A bayesian nonparametric framework for activity recognition using accelerometer data

Monitoring daily physical activity of human plays an important role in preventing diseases as well as improving health. In this paper, we demonstrate a framework for monitoring the physical activity levels in daily life. We collect the data using accelerometer sensors in a realistic setting without any supervision. The ground truth of activities is provided by the participants themselves using an experience sampling application running on mobile phones. The original data is discretized by the hierarchical Dirichlet process (HDP) into different activity levels and the number of levels is inferred automatically. We validate the accuracy of the extracted patterns by using them for the multi-label classification of activities and demonstrate the high performances in various standard evaluation metrics. We further show that the extracted patterns are highly correlated to the daily routine of users.

An examination of the prevalence, consumer profiles, and patterns of energy drink use, with and without alcohol, in Australia

BACKGROUND: There has been a significant growth in the energy drink (ED) market in Australia and around the world; however, most research investigating the popularity of ED and alcohol and energy drink (AED) use has focused on specific subpopulations such as university students. The aim of this study was to estimate the prevalence, consumption patterns, and sociodemographic correlates of ED and combined AED use among a representative Australian population sample. METHODS: A computer-assisted telephone interview survey (n = 2,000) was undertaken in March-April 2013 of persons aged 18 years and over. Half of the interviews were obtained through randomly generated landline telephone numbers and half through mobile phones. Approximately half of the sample was female (55.5%; n = 1,110) and the mean age of participants was 45.9 (range 18 to 95, SD 20.0). RESULTS: Less than 1 in 6 Australians reported ED use (13.4%, n = 268) and 4.6% (n = 91) reported AED use in the past 3 months. Majority of ED and AED users consumed these beverages monthly or less. ED and AED users are more likely to be aged 18 to 24 years, live in a metropolitan area, and be moderate risk or problem gamblers. AED consumers are more likely to report moderate levels of psychological distress. CONCLUSIONS: Our findings in relation to problem gambling and psychological distress are novel and require further targeted investigation. Health promotion strategies directed toward reducing ED and AED use should focus on young people living in metropolitan areas and potentially be disseminated through locations where gambling takes place.

Action research in a remote district in Papua New Guinea: final report

This project investigated whether action research could be used to address ‘grassroots’ community problems in a remote district of PNG. The research team introduced, supported and researched the implementation of a pilot action research project from April to November 2015 in Abau, Central Province. The project was funded by the Australian Government and commissioned through the Economic and Public Sector Program (EPSP) managed by Coffey. The action research participants comprised people from throughout Abau with interests in women’s and gender equity issues from community groups and agencies in the district. The action research teams developed evidence-based understandings of the causes and consequences of the problems that they were addressing through their actions. The research team provided each participant with a mobile phone connected to a ‘common user group’ (CUG). This enabled each participant unlimited phone calls and SMS messaging to other participants and to the research team. The research team sent weekly sets of SMS messages to all participants to assist their action research work. The use of mobile phones to support action research in remote communities was an important element of both facilitating the action research and of the research on the pilot project itself. With such knowledge they were strengthened in purpose and intention to help their own community. This suggests that an extension of this work in other remote areas of PNG may be successful.

Nonparametric discovery of movement patterns from accelerometer signals

Monitoring daily physical activity plays an important role in disease prevention and intervention. This paper proposes an approach to monitor the body movement intensity levels from accelerometer data. We collect the data using the accelerometer in a realistic setting without any supervision. The ground-truth of activities is provided by the participants themselves using an experience sampling application running on their mobile phones. We compute a novel feature that has a strong correlation with the movement intensity. We use the hierarchical Dirichlet process (HDP) model to detect the activity levels from this feature. Consisting of Bayesian nonparametric priors over the parameters the model can infer the number of levels automatically. By demonstrating the approach on the publicly available USC-HAD dataset that includes ground-truth activity labels, we show a strong correlation between the discovered activity levels and the movement intensity of the activities. This correlation is further confirmed using our newly collected dataset. We further use the extracted patterns as features for clustering and classifying the activity sequences to improve performance.

Diabetes text-message self-management support program (SMS4BG): A pilot study

BACKGROUND: The increasing prevalence of diabetes and costly long-term complications associated with poor glycemic control are issues facing health services worldwide. Diabetes self-management, with the support of health care providers, is critical for successful outcomes, however, frequent clinical contact is costly. Text messages via short message service (SMS) have the advantage of instant transmission at low cost and, given the ubiquity of mobile phones, may be the ideal platform for the delivery of diabetes self-management support. A tailored text message-based diabetes support intervention called Self-Management Support for Blood Glucose (SMS4BG) was developed. The intervention incorporates prompts around diabetes education, management, and lifestyle factors (healthy eating, exercise, and stress management), as well as blood glucose monitoring reminders, and is tailored to patient preferences and clinical characteristics. OBJECTIVE: To determine the usability and acceptability of SMS4BG among adults with poorly controlled diabetes. METHODS: Adults (aged 17 to 69 years) with type 1 (n=12) or type 2 diabetes (n=30), a hemoglobin A1c (HbA1c) over 70 mmol/mol (8.6%), and who owned a mobile phone (n=42) were recruited to take part in a 3-month pilot study of SMS4BG. At registration, participants selected the modules they would like to receive and, where appropriate, the frequency and timing of blood glucose monitoring reminders. Patient satisfaction and perceptions of the usability of the program were obtained via semistructured phone interviews conducted at completion of the pilot study. HbA1c was obtained from patient records at baseline and completion of the pilot study. RESULTS: Participants received on average 109 messages during the 3-month program with 2 participants withdrawing early from the study. Follow-up interviews were completed with 93% of participants with all reporting SMS4BG to be useful and appropriate to their age and culture. Participants reported a range of perceived positive impacts of SMS4BG on their diabetes and health behaviors. HbA1c results indicated a positive impact of the program on glycemic control with a significant decrease in HbA1c from baseline to follow-up. CONCLUSIONS: A tailored text message-based intervention is both acceptable and useful in supporting self-management in people with poorly controlled diabetes. A randomized controlled trial of longer duration is needed to assess the efficacy and sustainability of SMS4BG.

Measuring physical activity in a cardiac rehabilitation population using a smartphone-based questionnaire

BACKGROUND: Questionnaires are commonly used to assess physical activity in large population-based studies because of their low cost and convenience. Many self-report physical activity questionnaires have been shown to be valid and reliable measures, but they are subject to measurement errors and misreporting, often due to lengthy recall periods. Mobile phones offer a novel approach to measure self-reported physical activity on a daily basis and offer real-time data collection with the potential to enhance recall.

OBJECTIVE: The aims of this study were to determine the convergent validity of a mobile phone physical activity (MobilePAL) questionnaire against accelerometry in people with cardiovascular disease (CVD), and to compare how the MobilePAL questionnaire performed compared with the commonly used self-recall International Physical Activity Questionnaire (IPAQ).

METHODS: Thirty adults aged 49 to 85 years with CVD were recruited from a local exercise-based cardiac rehabilitation clinic in Auckland, New Zealand. All participants completed a demographics questionnaire and underwent a 6-minute walk test at the first visit. Subsequently, participants were temporarily provided a smartphone (with the MobilePAL questionnaire preloaded that asked 2 questions daily) and an accelerometer, which was to be worn for 7 days. After 1 week, a follow-up visit was completed during which the smartphone and accelerometer were returned, and participants completed the IPAQ.

RESULTS: Average daily physical activity level measured using the MobilePAL questionnaire showed moderate correlation (r=.45; P=.01) with daily activity counts per minute (Acc_CPM) and estimated metabolic equivalents (MET) (r=.45; P=.01) measured using the accelerometer. Both MobilePAL (beta=.42; P=.008) and age (beta=-.48, P=.002) were significantly associated with Acc_CPM (adjusted R(2)=.40). When IPAQ-derived energy expenditure, measured in MET-minutes per week (IPAQ_met), was considered in the predicted model, both IPAQ_met (beta=.51; P=.001) and age (beta=-.36; P=.016) made unique contributions (adjusted R(2)=.47, F2,27=13.58; P<.001).There was also a significant association between the MobilePAL and IPAQ measures (r=.49, beta=.51; P=.007).

CONCLUSIONS: A mobile phone-delivered questionnaire is a relatively reliable and valid measure of physical activity in a CVD cohort. Reliability and validity measures in the present study are comparable to existing self-report measures. Given their ubiquitous use, mobile phones may be an effective method for physical activity surveillance data collection.