Professional legal education in Scotland

Scotland is a small jurisdiction. With a legal profession of approximately 9000 solicitors and over 450 practicing advocates serving a population of around 5 million, our legal bar is smaller in size than the legal bar of many states in the United States.1 Our solutions to problems of professional education are appropriate to our jurisdictional size, our character, and our history. However, one theme of this Article is that common educational issues exist among jurisdictions despite differences in size or in legal structure. Another theme deals with a matter of particular concern in Scotland, namely the problem of educating for practice, and in particular creating the most effective forms of program and curriculum design for training and education at the professional stage. Part I of this Article summarizes the current Scottish professional legal education program, set in the context of the legal education and the legal profession generally. Part II illustrates some aspects of the professional education program with reference to a case study, the Diploma in Legal Practice at the Glasgow Graduate School of Law. Finally, this Article outlines some of the issues or themes from the Scottish experience that might be applicable to alternatives to the United States' Bar Exam

Are digital natives a myth or reality?: Students’ use of technologies for learning

This paper outlines the findings of a study investigating the extent and nature of use of digital technologies by undergraduate students in Social Work and Engineering, in two British universities. The study involved a questionnaire survey of students (n=160) followed by in-depth interviews with students (n=8) and lecturers and support staff (n=8) in both institutions. Firstly, the findings suggest that students use a limited range of technologies for both learning and socialisation. For learning, mainly established ICTs are used- institutional VLE, Google and Wikipedia and mobile phones. Students make limited, recreational use of social technologies such as media sharing tools and social networking sites. Secondly, the findings point to a low level of use of and familiarity with collaborative knowledge creation tools, virtual worlds, personal web publishing, and other emergent social technologies. Thirdly, the study did not find evidence to support the claims regarding students adopting radically different patterns of knowledge creation and sharing suggested by some previous studies. The study shows that students’ attitudes to learning appear to be influenced by the approaches adopted by their lecturers. Far from demanding lecturers change their practice, students appear to conform to fairly traditional pedagogies, albeit with minor uses of technology tools that deliver content. Despite both groups clearly using a rather limited range of technologies for learning, the results point to some age differences, with younger, engineering students making somewhat more active, albeit limited, use of tools than the older ones. The outcomes suggest that although the calls for radical transformations in educational approaches may be legitimate it would be misleading to ground the arguments for such change solely in students’ shifting expectations and patterns of learning and technology use

Introduction to location-based mobile learning

[About the book] The report follows on from a 2-day workshop funded by the STELLAR Network of Excellence as part of their 2009 Alpine Rendez-Vous workshop series and is edited by Elizabeth Brown with a foreword from Mike Sharples. Contributors have provided examples of innovative and exciting research projects and practical applications for mobile learning in a location-sensitive setting, including the sharing of good practice and the key findings that have resulted from this work. There is also a debate about whether location-based and contextual learning results in shallower learning strategies and a section detailing the future challenges for location-based learning

Augmenting the field experience: a student-led comparison of techniques and technologies

In this study we report on our experiences of creating and running a student fieldtrip exercise which allowed students to compare a range of approaches to the design of technologies for augmenting landscape scenes. The main study site is around Keswick in the English Lake District, Cumbria, UK, an attractive upland environment popular with tourists and walkers. The aim of the exercise for the students was to assess the effectiveness of various forms of geographic information in augmenting real landscape scenes, as mediated through a range of techniques and technologies. These techniques were: computer-generated acetate overlays showing annotated wireframe views from certain key points; a custom-designed application running on a PDA; a mediascape running on the mScape software on a GPS-enabled mobile phone; Google Earth on a tablet PC; and a head-mounted in-field Virtual Reality system. Each group of students had all five techniques available to them, and were tasked with comparing them in the context of creating a visitor guide to the area centred on the field centre. Here we summarise their findings and reflect upon some of the broader research questions emerging from the project

Survey of Personalized Learning Software Systems: A Taxonomy of Environments, Learning Content, and User Models

This paper presents a comprehensive systematic review of personalized learning software systems. All the systems under review are designed to aid educational stakeholders by personalizing one or more facets of the learning process. This is achieved by exploring and analyzing the common architectural attributes among personalized learning software systems. A literature-driven taxonomy is recognized and built to categorize and analyze the reviewed literature. Relevant papers are filtered to produce a final set of full systems to be reviewed and analyzed. In this meta-review, a set of 72 selected personalized learning software systems have been reviewed and categorized based on the proposed personalized learning taxonomy. The proposed taxonomy outlines the three main architectural components of any personalized learning software system: learning environment, learner model, and content. It further defines the different realizations and attributions of each component. Surveyed systems have been analyzed under the proposed taxonomy according to their architectural components, usage, strengths, and weaknesses. Then, the role of these systems in the development of the field of personalized learning systems is discussed. This review sheds light on the field’s current challenges that need to be resolved in the upcoming years

Interactive Lecture Podcasting: Probing the Impact of Dialogue Design in LAMS

This paper discusses the potential utility of interactive lecture podcasting in LAMS, which is based on a preliminary examination of the data of a curriculum innovation study. The case was a teacher education (TE) unit that produced unexpected student learning behaviour. An analytic induction methodology, in conjunction with educational data mining techniques, was used to analyse the data. The purpose of the study was to better understand one specific aspect of students’ active participatory learning behaviour, vital for their success in higher education (HE): willingness to engage in online peer-to peer dialogue. The paper closes with a suggestion for more systematic monitoring of HEstudents’ online learning behaviour

Developing the scales on evaluation beliefs of student teachers

The purpose of the study reported in this paper was to investigate the validity and the reliability of a newly developed questionnaire named ‘Teacher Evaluation Beliefs’ (TEB). The framework for developing items was provided by the two models. The first model focuses on Student-Centered and Teacher-Centered beliefs about evaluation while the other centers on five dimensions (what/ who/ when/ why/ how). The validity and reliability of the new instrument was investigated using both exploratory and confirmatory factor analysis study (n=446). Overall results indicate that the two-factor structure is more reasonable than the five-factor one. Further research needs additional items about the latent dimensions “what” ”who” ”when” ”why” “how” for each existing factor based on Student-centered and Teacher-centered approaches