10 research outputs found

    Do physical education teachers and general teachers differ in their implicit anti-fat bias?

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    The purpose of this study was to examine implicit attitudes of physical education (PE) and non-PE teachers towards overweight children stratified by gender, age, and body mass index. Two hundred school teachers (50% PE and 50% non-PE), aged 23-60 (mean=33.5 years) from Hong Kong, China, completed the validated implicit association test to measure attitudes towards overweight children. On the good-bad scale, there were no significant differences between scores for type of teacher. Younger teachers showed more weight discrimination against overweight students compared to their older counterparts. The interaction between type of teacher and gender was significant for the motivated-lazy score. Compared to PE teachers, non-PE teachers demonstrated less discrimination toward the overweight students on motivated-lazy score. Teachers demonstrated implicit weight discrimination toward overweight students. PE teachers are more prone to negative stereotypes related to motivation and laziness. The order of greatest overweight discrimination against overweight students was (1) male PE teachers, (2) female PE teachers, (3) non-PE female teachers and (4) non-PE male teachers

    Unfamiliar technology: Reaction of international students to blended learning

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    This study enquires into learners’ behavioural intentions towards the use of a blended learning program designed for post-graduate international IT students. The aim of this research is to develop a testing mechanism to measure the extent to which international students have built up digital capital. We use the unified theory of acceptance and use of technology (UTAUT) as a framework for this investigation, built around social influence (behavioural intention) performance and effort expectancy (attitude), and facilitating conditions (ease and usefulness), using a critical theoretical approach. We further attempt to understand whether motivation for engagement with blended learning comes from intrinsic or extrinsic sources. For this study, 95 Project Management students were introduced to a blended learning approach using Blackboard, a Learning Management System. Following an introductory session, data on attitude, social influence and facilitating conditions was gathered. Hierarchical multiple regressions were used to assess the influence of each variable in determining first behavioural intentions and latter attitude towards blended learning. This study contributes to the body of knowledge through identifying that social influence has a strong impact on both performance and effort expectation as well as behavioural intentions. This suggests that, overall, the social environments from which the cohort originated provided sufficient economic, social and cultural capital to also develop some digital capita

    Rise of Social Media Marketing: A Perspective on Higher Education

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    This research aims to examine the impact of social media on higher education marketing, in terms of student recruitment. Based on a review of secondary literature, this paper proposes a framework for student recruitment. The expected results indicated that there are several approaches that marketers could use to reach and recruit prospective students more effectively. These approaches include positive electronic word-of-mouth (e-WOM), social media campaigns, virtual campus tours and Facebook Live, which have significant and positive impact on student recruitment. Moreover, the study suggests that social media validation plays a mediating role between social media campaigns and student recruitment. This study aids institutions in gaining insights into students' behaviours, needs, and attitudes towards social media marketing. Furthermore, it provides admissions staff guidance on how to use social media communities as an effective recruitment tool - particularly Facebook

    Reducing Deformation - Augmented Reality (AR) in Facelift Surgery: A Theoretical and Mathematical Study

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    Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometricerror algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient's skin
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