What has an Impact on Grades? Instructor-Made Videos, Communication, and Timing in An Online Statistics Course

This study investigates student success in an online introductory statistics class. We examine the impact of several variables: amount of time that a student watches instructor-made videos (IMV), the nature of communication between the student and the instructor, and the amount of time spent on completing the online assignments and exams on student grades in an introductory level online statistics course. Findings suggest that IMVs of short dur ation, the subject- related communication between the student and the instructor, and homework completion time have significant association with student performance. Though the average time spent on online exams does not show a statistical association with student grades, the results indicate that the students who complete the exam between two-to-four hours perform better than the students who spend less than two hours or more than four hours to complete the exam

The students' voice: Strengths and weaknesses of an undergraduate medical curriculum in a developing country, a qualitative study

<p>Abstract</p> <p>Background</p> <p>In medical education, feedback from students' is essential in course evaluation and development. Students at Faculty of Medicine, University of Colombo, Sri Lanka complete a five year medical curriculum comprising of five different streams. We aimed to evaluate the five year medical curriculum at the Faculty of Medicine, University of Colombo, Sri Lanka.</p> <p>Methods</p> <p>A qualitative research was conducted among recent graduates of the faculty. Students' opinions on strengths and weaknesses of the curriculum were collected via questionnaires, which were analysed and classified into common themes. A focus group discussion (FGD) based on these themes was conducted among two student groups, each comprising of a facilitator, two observers and nine students selected as a representative sample from questionnaire respondents. FGDs were conducted using a semi-structured set of open-ended questions to guide participants and maintain consistency between groups. The FGD evaluated the reasons behind students' perceptions, attitudes, emotions and perceived solution. Verbal and non-verbal responses were transcribed and analysed.</p> <p>Results</p> <p>Questionnaire response rate was 82% (153/186). Students highlighted 68 and 135 different responses on strengths and weaknesses respectively. After analysis of both questionnaire and FGD results the following themes emerged: a well organized module system, increased frequency of assessments, a good variety in clinical appointments, lack of specific objectives and assessments at clinical appointments, community and behavioural sciences streams beneficial but too much time allocation, lengthy duration of course, inadequate knowledge provided on pharmacology and pathology.</p> <p>Conclusion</p> <p>We demonstrate how a brief qualitative method could be efficiently used to evaluate a curriculum spanning a considerable length of time. This method provided an insight into the students' attitudes and perceptions of the present faculty curriculum. Qualitative feedback from students highlighted certain key areas that need attention and also possible solutions as perceived by the students'.</p

Extensions of Saddlepoint-Based Bootstrap Inference

We propose two substantive extensions to the saddlepoint-based bootstrap (SPBB) methodology, whereby inference in parametric models is made through a monotone quadratic estimating equation (QEE). These are motivated through the first-order moving average model, where SPBB application is complicated by the fact that the usual estimators, method of moments (MOME), least squares, and maximum likelihood (MLE), all have mixed distributions and tend to be roots of high-order polynomials that violate the monotonicity requirement. A unifying perspective is provided by demonstrating that these estimators can all be cast as roots of appropriate QEEs. The first extension consists of two double saddlepoint-based Monte Carlo algorithms for approximating the Jacobian term appearing in the approximated density function of estimators derived from a non-monotone QEE. The second extension considers inference under QEEs from exponential power families. The methods are demonstrated for the MLE under a Gaussian distribution, and the MOME under a joint Laplace distribution for the process

Policy and stakeholder analysis of infant and young child feeding programmes in Sri Lanka

Abstract Background Infant and young child feeding practices (IYCF) play a critical role in growth and development of children. A favourable environment supported by appropriate policies and positive contributions from all stakeholders are prerequisites for achieving optimal IYCF practices. This study aimed to assess the IYCF-related policy environment and role of stakeholders in policy making in Sri Lanka, in order to identify opportunities to strengthen the policy environment to better support appropriate IYCF and reduce childhood malnutrition. Methods We mapped national level policy-related documents on IYCF, and conducted a stakeholder analysis of IYCF policy making. A matrix was designed to capture data from IYCF policy-related documents using a thematic approach. A narrative synthesis of data from different documents was conducted to achieve the first objective. We then conducted an analysis of technical and funding links of stakeholders who shape IYCF policies and programmes in Sri Lanka using the Net-Map technique, to achieve the second objective. A total of 35 respondents were purposively selected based on their knowledge on the topic, and individual interviews were conducted. Results Twenty four policies were identified that contained provisions in line with global recommendations for best-practice IYCF, marketing of breast milk substitutes, strengthening health and non-health systems, maternity benefits, inter-sectoral collaboration, capacity building, health education and supplementation. However, there is no separate, written policy on IYCF in Sri Lanka. Participants identified 56 actors involved in shaping IYCF policies and programmes through technical support, and 36 through funding support. The Government Health Sector was the most connected as well as influential, followed by development partners. Almost all actors in the networks were supportive for IYCF policies and programmes. Conclusions and recommendations All evidence-based recommendations are covered in related policies. However, advocacy should be targeted towards strategic support for IYCF in high-level policy documents. The stakeholder analysis confirmed a network led by the government health sector. Enhancing the multi-sectoral commitments stressed in policy documents is an opportunity to strengthen IYCF policy process in Sri Lanka

Detecting stealthy attacks: efficient monitoring of suspicious activities on computer networks

Stealthy attackers move patiently through computer networks – taking days, weeks or months to accomplish their objectives in order to avoid detection. As networks scale up in size and speed, monitoring for such attack attempts is increasingly a challenge. This paper presents an efficient monitoring technique for stealthy attacks. It investigates the feasibility of proposed method under number of different test cases and examines how design of the network affects the detection. A methodological way for tracing anonymous stealthy activities to their approximate sources is also presented. The Bayesian fusion along with traffic sampling is employed as a data reduction method. The proposed method has the ability to monitor stealthy activities using 10–20% size sampling rates without degrading the quality of detection