Improving Academic Performance of Sport and Exercise Science Undergraduate Students in Gross Anatomy Using a Near-Peer Teaching Program

Peer and near-peer teaching programs are common in medical undergraduate courses. However, there are no studies that have investigated the effectiveness of a near-peer teaching program on the academic performance of undergraduate students pursuing sport and exercise science coursework. This study was conducted to analyze the effectiveness of such a program for students who participated in a course on the functional anatomy of the locomotor apparatus. A total of 39 student participants were divided into two groups: students in one group voluntarily attended at least one session of a near-peer teaching program, and students in the other group attended no sessions. The final grade (range 0–100%) was recorded and used as an indicator of academic performance. The final grade of students who attended the near-peer teaching program (69.5 ± 16.0%) was 38.7% higher (P = 0.002, d = 1.06) than those who did not (50.1 ± 20.4%). When the academic performance of the same students was evaluated in another course (exercise physiology) that did not offer a near-peer teaching program, there were no significant differences between the groups (students who attended or did not attend the near-peer teaching program). A significant positive association was found between near-peer teaching program frequency and the number of students approved and not approved in the course (P = 0.041). A significant difference (P = 0.001) was found in the attendance at regular classes between the group who participated in the near-peer teaching program (median: 62 hours; IQR [interquartile ranges]: 4.0 hours) and those who did not (median: 58 hours; IQR: 4.0 hours). Gender was not a moderating factor on academic performance or near-peer teaching program attendance. These results highlight the effectiveness of a near-peer teaching program on the academic performance of students from a sport and exercise science degree program while enrolled in an anatomy course. Anat Sci Educ. © 2018 American Association of Anatomists.     

Managing misspelled queries in IR applications

Our work concerns the design of robust information retrieval environments that can successfully handle queries containing misspelled words. Our aim is to perform a comparative analysis of the efficacy of two possible strategies that can be adopted.     

Fault reconstruction using a LPV sliding mode observer for a class of LPV systems

This paper proposes a new sliding mode observer for fault reconstruction, applicable for a class of linear parameter varying (LPV) systems. Observer schemes for actuator and sensor fault reconstruction are presented. For the actuator fault reconstruction scheme, a virtual system comprising the system matrix and a fixed input distribution matrix is used for the design of the observer. The fixed input distribution matrix is instrumental in simplifying the synthesis procedure to create the observer gains to ensure a stable closed-loop reduced order sliding motion. The ‘output error injection signals’ from the observer are used as the basis for reconstructing the fault signals. For the sensor fault observer design, augmenting the LPV system with a filtered version of the faulty measurements allows the sensor fault reconstruction problem to be posed as an actuator fault reconstruction scenario. Simulation tests based on a high-fidelity nonlinear model of a transport aircraft have been used to demonstrate the proposed actuator and sensor FDI schemes. The simulation results show their efficacy.     

A Multidimensional Analysis of the Disability Digital Divide: Some Evidence for Internet Use

Over the last few years, information and communication technologies have become an essential part of daily life, affecting education, employment, and leisure, among other activities. Nonetheless, many individuals still reap few or no benefits from these technologies, and there are resilient gaps in their use. Within this larger context, the authors examine the Internet digital divide between people with and without disabilities from a multidimensional approach. Rather than analyzing the gap in terms of “haves” and “have-nots,” a range of Internet-related dimensions—affordability, motivation and attitudes, skills, usage, and others—is taken into account.     

The relationships among consumers’ ethical ideology,risk aversion and ethically-based distrust of online retailers and the moderating role of consumers’ need for personal interaction

Consumer distrust is only recently beginning to be perceived as an important e-commerce issue and, unlike online trust, the nature and role of distrust is much less established. This study examines the influence of two important consumer characteristics (ethical ideology and risk aversion) on consumer’s ethically-based distrust of online retailers. Also, the moderating role of consumer’s need for personal contact with sales staff is tested. Results from 409 online consumers confirm that both relativist-based ethical ideology and risk aversion are strongly and positively related to consumers’ distrust. Interestingly, our findings show that positive effects of relativism and risk aversion on consumer’s distrust are moderated by consumers’ need for personal interaction, which is more pronounced for those consumers with a high need for personal interaction with retail salespeople.     

Introduction to the special issue on teaching and learning in information retrieval

We present an overview of the special issue in this paper. The main objective is to provide information for lecturers on how to improve the student experience, using current knowledge in the field. To this end we present an overview of six papers covering areas as diverse as tools and methods used to support teaching and learning, pedagogical challenges in teaching mathematics for search, etc.     

Retrieving and classifying instances of source code plagiarism

Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents.     

Assessing working students' college experiences: a grounded theory approach

This study explores working students' college experiences using the grounded theory approach. Focus groups were conducted to allow working students to elaborate on their college experiences, clarifying issues not easily addressed through surveys. Two theoretical propositions are offered to describe how working students are constantly searching for meaningful work as well as meaning in their work. It is important for institutions to consider work as an educationally purposeful activity outside classroom and to create job opportunities that benefit students academically, socially and financially.