Providing a Positive Learning Experience for International Students Studying at a UK University: a Literature Review

Much of the current literature relating to international students at university level tends to highlight their experiences from a deficit perspective and in some cases even problematises the experience for the student and university. Other studies tend to focus on recruitment and motivation rather than the lived experiences of the student, thereby providing little assistance to guide the student, academic and host university in their preparation for, and working with, the international student. International students choose to study in the United Kingdom for a variety of positive reasons. However, these factors have the potential to become stressors as the student makes the transition to studying in a foreign country. Rather than viewing these stressors from a negative perspective, this literature review identifies how, with planning, support and understanding, universities can provide and develop a positive experience for all concerned.

Designing and Developing Digital and Blended Learning Solutions

The continuous advancement in computing, together with the decline in its cost, has resulted in technology becoming ubiquitous (Arbaugh, 2008, Gros, 2007). Technology is growing and is part of our lives in almost every respect, including the way we learn. Technology helps to collapse time and space in learning. For example, technology allows learners to engage with their instructors synchronously, in real time and also asynchronously, by enabling sessions to be recorded. Space and distance is no longer an issue provided there is adequate bandwidth, which determines the most appropriate format such text, audio or video. Technology has revolutionised the way learners learn; courses are designed; and ‘lessons’ are delivered, and continues to do so. The learning process can be made vastly more efficient as learners have knowledge at their fingertips, and unfamiliar concepts can be easily searched and an explanation found in seconds. Technology has also enabled learning to be more flexible, as learners can learn anywhere; at any time; and using different formats, e.g. text or audio. From the perspective of the instructors and L&D providers, technology offers these same advantages, plus easy scalability. Administratively, preparatory work can be undertaken more quickly even whilst student numbers grow. Learners from far and new locations can be easily accommodated. In addition, many technologies can be easily scaled to accommodate new functionality and/ or other new technologies. ‘Designing and Developing Digital and Blended Learning Solutions’ (5DBS), has been developed to recognise the growing importance of technology in L&D. This unit contains four learning outcomes and two assessment criteria, which is the same for all other units, besides Learning Outcome 3 which has three assessment criteria. The four learning outcomes in this unit are: • Learning Outcome 1: Understand current digital technologies and their contribution to learning and development solutions; • Learning Outcome 2: Be able to design blended learning solutions that make appropriate use of new technologies alongside more traditional approaches; • Learning Outcome 3: Know about the processes involved in designing and developing digital learning content efficiently and what makes for engaging and effective digital learning content; • Learning Outcome 4: Understand the issues involved in the successful implementation of digital and blended learning solutions. Each learning outcome is an individual chapter and each assessment unit is allocated its own sections within the respective chapters. This first chapter addresses the first learning outcome, which has two assessment criteria: summarise the range of currently available learning technologies; critically assess a learning requirement to determine the contribution that could be made through the use of learning technologies. The introduction to chapter one is in Section 1.0. Chapter 2 discusses the design of blended learning solutions in consideration of how digital learning technologies may support face-to-face and online delivery. Three learning theory sets: behaviourism; cognitivism; constructivism, are introduced, and the implication of each set of theory on instructional design for blended learning discussed. Chapter 3 centres on how relevant digital learning content may be created. This chapter includes a review of the key roles, tools and processes that are involved in developing digital learning content. Finally, Chapter 4 concerns delivery and implementation of digital and blended learning solutions. This chapter surveys the key formats and models used to inform the configuration of virtual learning environment software platforms. In addition, various software technologies which may be important in creating a VLE ecosystem that helps to enhance the learning experience, are outlined. We introduce the notion of personal learning environment (PLE), which has emerged from the democratisation of learning. We also review the roles, tools, standards and processes that L&D practitioners need to consider within a delivery and implementation of digital and blended learning solution.

Applying Enterprise: Active Learning Environments for Business Higher National Diploma Students

This article details an approach to teaching entrepreneurship to Higher National Diploma (HND) students that combines lecture-based and experiential learning processes to increase student learning, comprehension, and entrepreneurial skills. A UK university redesigned an entrepreneurship course to have students design and implement business plans for a pop-up shop and an event in the local community, while working closely with instructors and outside stakeholders. The lectures used in the lessons were designed to complement the enterprise activities and be immediately applied in group work settings. Data was collected from student reflections and analyzed against instructor reflections to highlight both the success and challenges of this approach, as well as any areas of dissonance between student and instructor observations. While literature on the benefits of active and experiential learning processes are highlighted in the literature, this article examines these teaching methods specifically in a HND context, an area in which research on the benefits of these teaching methods for developing entrepreneurial students and for developing students prepared for undergraduate education has been limited.

Job-demand for Learning and Job-related Learning: the Mediating Effect of Job Performance Improvement Initiatives

This study examined whether job-performance-improvementinitiatives mediate the relationship between individuals’ job-demand for learning and job-related learning. Data were obtained from 115 full-time employees in a diverse range of occupations. A partial least squares analysis revealed that job-performance-improvement-initiatives mediate partially the effects of job-demand for learning on job-related learning. Several implications for future research and policy are drawn from the findings.

Applications of a Collaborative Open Object Oriented Learning Environment to Electronics, Computing and Mathematics Education

A lightweight Java application suite has been developed and deployed allowing collaborative learning between students and tutors at remote locations. Students can engage in group activities online and also collaborate with tutors. A generic Java framework has been developed and applied to electronics, computing and mathematics education. The applications are respectively: (a) a digital circuit simulator, which allows students to collaborate in building simple or complex electronic circuits; (b) a Java programming environment where the paradigm is behavioural-based robotics, and (c) a differential equation solver useful in modelling of any complex and nonlinear dynamic system. Each student sees a common shared window on which may be added text or graphical objects and which can then be shared online. A built-in chat room supports collaborative dialogue. Students can work either in collaborative groups or else in teams as directed by the tutor. This paper summarises the technical architecture of the system as well as the pedagogical implications of the suite. A report of student evaluation is also presented distilled from use over a period of twelve months. We intend this suite to facilitate learning between groups at one or many institutions and to facilitate international collaboration. We also intend to use the suite as a tool to research the establishment and behaviour of collaborative learning groups. We shall make our software freely available to interested researchers.

Evolution of an Interactive Online Magazine for Students, Academics and Expert Practitioners to Engage Students in ESD

Urgency to embed awareness of sustainability principles and practice across society, and need for digital literacy and advocacy for sustainability are reshaping ESD. These, together with developments in learning and teaching, demand new tools to support implementation of project-based learning and more interactive approaches. This investigation explores the evolution of susthingsout.com, an online magazine for students, academics and expert practitioners, developed by the University of Worcester. This comprises two parts; the first, a private site specifically for students involved in sustainability learning on-campus; the second, an open-access site developed to deliver sustainability information and good practice across campus, community and not-for-profit and commercial organisations. This paper involves only the private site i.e. the equivalent of an in-house VLE specifically designed to support the teaching of sustainability to multi-disciplinary first and second year undergraduate students. It reports on the progress of the VLE, following three years of use and initial improvements, in terms of the student support and engagement, as well as considering the practical issues affecting these. The results fall into four categories of pedagogical, operational, cultural and external factors, which are synthesised to capture and share emerging knowledge of good practice offering insights to other developers of online sustainability materials.

A satisfação e a intenção de continuidade de uso em servços de e-learning:validação empírica de um modelo aplicado no serviço público

The present study aims to investigate the constructs of Technological Readiness Index (TRI) and the Expectancy Disconfirmation Theory (EDT) as determinants of satisfaction and continuance intention use in e-learning services. Is proposed a theoretical model that seeks to measure the phenomenon suited to the needs of public organizations that offer distance learning course with the use of virtual platforms for employees. The research was conducted from a quantitative analytical approach, via online survey in a sample of 343 employees of 2 public organizations in RN who have had e-learning experience. The strategy of data analysis used multivariate analysis techniques, including structural equation modeling (SEM), operationalized by AMOS© software. The results showed that quality, quality disconfirmation, value and value disconfirmation positively impact on satisfaction, as well as disconfirmation usability, innovativeness and optimism. Likewise, satisfaction proved to be decisive for the purpose of continuance intention use. In addition, technological readiness and performance are strongly related. Based on the structural model found by the study, public organizations can implement e-learning services for employees focusing on improving learning and improving skills practiced in the organizational environment

Distributional effects and individual differences in L2 morphology learning

Second language (L2) learning outcomes may depend on the structure of the input and learners’ cognitive abilities. This study tested whether less predictable input might facilitate learning and generalization of L2 morphology while evaluating contributions of statistical learning ability, nonverbal intelligence, phonological short-term memory, and verbal working memory. Over three sessions, 54 adults were exposed to a Russian case-marking paradigm with a balanced or skewed item distribution in the input. Whereas statistical learning ability and nonverbal intelligence predicted learning of trained items, only nonverbal intelligence also predicted generalization of case-marking inflections to new vocabulary. Neither measure of temporary storage capacity predicted learning. Balanced, less predictable input was associated with higher accuracy in generalization but only in the initial test session. These results suggest that individual differences in pattern extraction play a more sustained role in L2 acquisition than instructional manipulations that vary the predictability of lexical items in the input.

The introduction of e-learning in European universities: models and strategies

The aim of this paper is to present the models and the strategies of adoption of e-learning in a group of European universities, most of them located in the regions called “the four motors of Europe” (Baden-Württenberg, Catalunya, Lombardy and Rhône-Alpes) and in Switzerland. Our analysis focuses on four dimensions: the rationale behind the introduction of e-learning, the organisation of the activities and, in particular, the existence of a university centre for e-learning, the type of activities, and, finally, the type of public reached by e-learning. The majority of campus universities in our sample introduced e-learning to improve the quality of education of their students and, for the most part, as a support for existing courses. Some of the campus universities went even further insofar as they have introduced some online courses into their curricula. This has led to forms of cooperation where different universities share some of their courses. Finally, a small number of campus universities have included as part of their educational offer full distance degree programs which can be attended also by non residential students. The above cases show that there is no general move from campus universities towards distance education, but rather a more selective behaviour. Thus we conclude that e-learning, although it is undoubtedly spreading in both distance and presence universities, is not yet bringing fundamental changes in the institutions themselves. E-learning is at the moment integrated into the existing organization and educational offer. (DIPF/Orig.)

Gibt es den „elektronischen Nürnberger Trichter? Das Konzept des Blended Learning, dargestellt am Lernnetz WiBA-Net

WiBA-Net ist ein Lernnetzwerk zum Thema „Werkstoffe im Bauwesen“ und wird in der universitären Ausbildung von Bauingenieuren und Architekten verwendet. Dieser Aufsatz soll das Konzept von WiBA-Net vorstellen und zeigen, wie neue Technologien und didaktische Konzepte überzeugend angewendet werden können, um „Blended Learning“ umzusetzen und damit den Hochschulalltag sowohl von Studierenden als auch von Professoren zu erleichtern.(DIPF/Orig.)

Aufbau von Blended Learning mit der open source E-Lernplattform ILIAS an einer Campus-Universität. Was motiviert zum Einsatz im Lehr- und Lernalltag?

In diesem Beitrag geht es um das Projekt E-Lernen auf der ILIAS-Plattform an der Universität der Bundeswehr Hamburg (E-L I-P UniBwH). Ziel des Projekts ist es, die Präsenzlehre mit dem Einsatz elektronischer Medien zu unterstützen. Im Beitrag werden Ansatzpunkte dargestellt, die die Lehrenden zum Gebrauch der E-Lernplattform motivieren. Es werden Bedarfsmöglichkeiten aufgezeigt, für die eine E-Lernplattform eine mögliche Lösung sein kann, sowie die Rahmenbedingungen benannt, unter denen sie eingesetzt wird. Ziel ist es, die Nachhaltigkeit des E-Lernens an der UniBwH zu fördern.(DIPF/Orig.)

Datasets, features, learning, and models in visual recognition

Visual recognition is a fundamental research topic in computer vision. This dissertation explores datasets, features, learning, and models used for visual recognition. In order to train visual models and evaluate different recognition algorithms, this dissertation develops an approach to collect object image datasets on web pages using an analysis of text around the image and of image appearance. This method exploits established online knowledge resources (Wikipedia pages for text; Flickr and Caltech data sets for images). The resources provide rich text and object appearance information. This dissertation describes results on two datasets. The first is Berg’s collection of 10 animal categories; on this dataset, we significantly outperform previous approaches. On an additional set of 5 categories, experimental results show the effectiveness of the method. Images are represented as features for visual recognition. This dissertation introduces a text-based image feature and demonstrates that it consistently improves performance on hard object classification problems. The feature is built using an auxiliary dataset of images annotated with tags, downloaded from the Internet. Image tags are noisy. The method obtains the text features of an unannotated image from the tags of its k-nearest neighbors in this auxiliary collection. A visual classifier presented with an object viewed under novel circumstances (say, a new viewing direction) must rely on its visual examples. This text feature may not change, because the auxiliary dataset likely contains a similar picture. While the tags associated with images are noisy, they are more stable when appearance changes. The performance of this feature is tested using PASCAL VOC 2006 and 2007 datasets. This feature performs well; it consistently improves the performance of visual object classifiers, and is particularly effective when the training dataset is small. With more and more collected training data, computational cost becomes a bottleneck, especially when training sophisticated classifiers such as kernelized SVM. This dissertation proposes a fast training algorithm called Stochastic Intersection Kernel Machine (SIKMA). This proposed training method will be useful for many vision problems, as it can produce a kernel classifier that is more accurate than a linear classifier, and can be trained on tens of thousands of examples in two minutes. It processes training examples one by one in a sequence, so memory cost is no longer the bottleneck to process large scale datasets. This dissertation applies this approach to train classifiers of Flickr groups with many group training examples. The resulting Flickr group prediction scores can be used to measure image similarity between two images. Experimental results on the Corel dataset and a PASCAL VOC dataset show the learned Flickr features perform better on image matching, retrieval, and classification than conventional visual features. Visual models are usually trained to best separate positive and negative training examples. However, when recognizing a large number of object categories, there may not be enough training examples for most objects, due to the intrinsic long-tailed distribution of objects in the real world. This dissertation proposes an approach to use comparative object similarity. The key insight is that, given a set of object categories which are similar and a set of categories which are dissimilar, a good object model should respond more strongly to examples from similar categories than to examples from dissimilar categories. This dissertation develops a regularized kernel machine algorithm to use this category dependent similarity regularization. Experiments on hundreds of categories show that our method can make significant improvement for categories with few or even no positive examples.

O papel do e-professor na plataforma de e-learning e-raízes : redes

Relatório de estágio apresentado para obtenção do grau de mestre em Educação e Comunicação Multimédia

Lernmanagement-Systeme mit Konzept einsetzen – Lehrende und Studierende beim Online-Lernen begleiten

Um die Nutzung digitaler Medien in der Lehre zu erleichtern, hat die Hochschule Ostwestfalen-Lippe ein Konzept entwickelt, mit dem Lehrende durch wissenschaftliche und studentische „eTutoren“ und Studierende durch studentische „eMentoren“ bei der Nutzung digitaler Medien im Lehr-/Lernprozess unterstützt werden. Ein zentraler Bestandteil des Modells ist die Nutzung des Learning-Management Systems ILIAS. Im folgenden Beitrag werden auf der Basis einiger grundsätzlicher Überlegungen zur Veränderung der Hochschullehre durch digitale Medien (1) zunächst die Konzepte des eTutoring und eMentoring kurz vorgestellt (2) und dann erläutert, wie das 5-Stufen-Modell für Online-Kurse von Gilly Salmon (3) für die konkreten Bedingungen an der Hochschule OWL angepasst wurde und von den eTutoren und eMentoren zur Unterstützung von Lehrenden und Studierenden genutzt wird (4). Der Beitrag schließt mit einem Fazit der bisherigen Erfahrungen (5).

VirRAD: A New Paradigm for Technology Enhanced Learning

In most e-learning scenarios, communication and on-line collaboration is seen as an add-on feature to resource based learning. This paper will endeavour to present a pedagogical framework for inverting this view and putting communities of practice as the basic paradigm for e-learning. It will present an approach currently being used in the development of a virtual Radiopharmacy community, called VirRAD, and will discuss how theory can lead to an instructional design approach to support technologically enhanced learning.(DIPF/Orig.)