支持开放教育资源项目的方法

本文考察了英国教育技术互用性标准中心（CETIS）通过支持国家项目（即英国联合信息系统委员会（JISC）和高等教育委员会的英国开放教育资源试点项目,详见http：／／www．jisc．ae．uk／oer）,以促进发布开放教育资源方面的经验,并探索了如何让我们的支持模式对其他相关项目有所启发,并能改编用于鼓励开放课件运动的可持续性技术支持网络。作为一个涵盖英国众多大学的国家层面的创新举措,众多开放教育资源提供者参与了英国开放教育资源（UKOER）,这包括个别教育者、学科联合体和机构。考虑到这种多样性,从一开始我们就意识到没有任何一种技术解决方案能适合所有的项目。因此,也没有委托专门的工具、描述性标准、交流或分发机制（除要求所有制作的资源应该放在国家学习资源库中外,详见http：／／jorum．ae．uk）。为了支持这一项目,我们引导采取不同的方法和形成不同的社群,也许在支持发布开放教育资源方面,任何类似的跨机构创新都将会面临相似的问题。我们的项目支持方法已从具体的细节问题发展到提供基本的支持原则,从而预测其他问题,并推动最佳实践。我们的做法是：通过会议上的技术汇报和讨论机会,以及在博客上发帖,激发讨论;通过技术评论讨论,并记录针对这些公布在网上的讨论的总结性内容,从而调查个别项目的技术选择;针对通过以上方式所发现的问题,以及项目博客上凸显的问题,做出相应的反馈。考虑到如何使这一方法在更广泛的范围内应用,我们也反思了这种公开的工作模式所面临的挑战、这一方法的开支、适应性,以及我们所认为的其在支持开放教育资源管理和传播方面所扮演的角色。     

‘Why should I be like bloody Rain Man?!’ Navigating the autistic identity

This article explores the views of six higher education students with autism/Asperger syndrome. The research draws upon social identity theory to explore how participants made meaning of their label. There was consensus that information given at the point of diagnosis generally did not reflect their individual experiences. First‐hand accounts tended to be perceived as more personally relevant. The ‘Asperger’ identity was generally framed as fragile and inconsistent, leading some individuals to distance themselves from it. This may be problematic for a group that is already disadvantaged and isolated. However, participants conveyed strong self‐images regardless of how and whether they identified with their diagnosis, which was attributed to their relative privilege in achieving higher education and therefore experiencing success and achievement related to their personal strengths. In this article, Andrea MacLeod, Ann Lewis and Christopher Robertson, from the University of Birmingham, call for researchers and relevant services to involve autistic individuals directly in fostering a constructive ‘autism identity’.     

The medical matters wiki: building a library Web site 2.0

New and innovative information technologies drive the ever-evolving library profession. From clay tablet to parchment scroll to manufactured paper to computer screen pixel, information storage, retrieval, and delivery methods continue to evolve, and each advance irrevocably affects the way libraries, and librarians, work. The Internet has forever altered information and library science, both in theory and practice, but even within this context the progression continues. Though ambiguously defined, Web 2.0 offers a new outlook and new software, presenting librarians with potentially invaluable new tools and methods. This paper discusses the creation, implementation, and maintenance of a Web 2.0 technology, the wiki, as a resource tool for an academic biomedical library.     

Professors' Perspectives on Their Teaching: A New Construct and Developmental Model

Building carefully on the college teaching and adult development literatures, this paper presents a model that describes the perspective of professors at various developmental positions with regard to their work as teachers. The model comprises five, interrelated positions: (a) three stable periods—Egocentrism (teacher-centeredness), Aliocentrism (learner-centeredness), and Systemocentrism (teacher/learner-centeredness); and (b) two transitional periods—one between each of the two potential movements from one stable period to the next. The model integrates the constructs of previous typologies, adds a significant new construct, and arranges the total array of perspectival constructs in a typical developmental sequence.     

Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance

Objective assessment of an athlete’s performance is of importance in elite sports to facilitate detailed analysis. The implementation of automated detection and recognition of sport-specific movements overcomes the limitations associated with manual performance analysis methods. The object of this study was to systematically review the literature on machine and deep learning for sport-specific movement recognition using inertial measurement unit (IMU) and, or computer vision data inputs. A search of multiple databases was undertaken. Included studies must have investigated a sport-specific movement and analysed via machine or deep learning methods for model development. A total of 52 studies met the inclusion and exclusion criteria. Data pre-processing, processing, model development and evaluation methods varied across the studies. Model development for movement recognition were predominantly undertaken using supervised classification approaches. A kernel form of the Support Vector Machine algorithm was used in 53% of IMU and 50% of vision-based studies. Twelve studies used a deep learning method as a form of Convolutional Neural Network algorithm and one study also adopted a Long Short Term Memory architecture in their model. The adaptation of experimental set-up, data pre-processing, and model development methods are best considered in relation to the characteristics of the targeted sports movement(s).     

On Collection Size and Retrieval Effectiveness

The relationship between collection size and retrieval effectiveness is particularly important in the context of Web search. We investigate it first analytically and then experimentally, using samples and subsets of test collections. Different retrieval systems vary in how the score assigned to an individual document in a sample collection relates to the score it receives in the full collection; we identify four cases.We apply signal detection (SD) theory to retrieval from samples, taking into account the four cases and using a variety of shapes for relevant and irrelevant distributions. We note that the SD model subsumes several earlier hypotheses about the causes of the decreased precision in samples. We also discuss other models which contribute to an understanding of the phenomenon, particularly relating to the effects of discreteness. Different models provide complementary insights.Extensive use is made of test data, some from official submissions to the TREC-6 VLC track and some new, to illustrate the effects and test hypotheses. We empirically confirm predictions, based on SD theory, that P@n should decline when moving to a sample collection and that average precision and R-precision should remain constant. SD theory suggests the use of recall-fallout plots as operating characteristic (OC) curves. We plot OC curves of this type for a real retrieval system and query set and show that curves for sample collections are similar but not identical to the curve for the full collection.     

Delivering distance training to rural health care professionals

This article reports on a project that delivers distance training to rural health care professionals. Traveling to provide training on information-seeking skills to rural health professionals is time consuming and costly. In addition to face-to-face training, the University of South Alabama Biomedical Library's SAMNet project seeks to deliver multimedia training to rural health care professionals. The project uses information technology to package training courses combining PowerPoint slides and video instructions. This article describes the rationale, training module design and development, and the information technology and software used in the project. Multimedia packaged distance training courses provide a practical alternative to on-site training for rural health care professionals. It enables librarians to provide training without traveling long distance, thus saving time and money. Additionally, rural health care professionals may access the modules at a time convenient to them and proceed at a pace suitable to their learning style.     

The Methodology of the 'Views and Visions Project' of Land Use-UK: Practices,issues, decisions and experiences

The Land Use-UK Project was conducted with the support of teachers and students in schools throughout the UK. At the time they acted as surveyors of the landscape and, as well as mapping the land use, students recorded their perceptions of what they had seen together with their views for the future. Referred to now as the 'Views and Visions Project', these collective opinions from mostly whole class groups of students provide a database of 1287 responses. Along with the richness of discovery and meaning which the readings of these narratives of landscape experience provide, there have been many decisions to be made regarding the appropriate style and strategies needed for development of the data and interpretation and analysis of the research. This paper provides a reflection on the methodological decisions taken from the personal perspective of the authors as well as some critical comment on the limitations and possibilities of this essentially qualitative research approach.