An interactive multimedia learning environment for VLSI built with COSMOS

This paper presents Bigger Bits, an interactive multimedia learning environment that teaches students about VLSI within the context of computer electronics. The system was built with COSMOS (Content Oriented semantic Modelling Overlay Scheme), which is a modelling scheme that we developed for enabling the semantic content of multimedia to be used within interactive systems

Towards automated knowledge-based mapping between individual conceptualisations to empower personalisation of Geospatial Semantic Web

Geospatial domain is characterised by vagueness, especially in the semantic disambiguation of the concepts in the domain, which makes defining universally accepted geo- ontology an onerous task. This is compounded by the lack of appropriate methods and techniques where the individual semantic conceptualisations can be captured and compared to each other. With multiple user conceptualisations, efforts towards a reliable Geospatial Semantic Web, therefore, require personalisation where user diversity can be incorporated. The work presented in this paper is part of our ongoing research on applying commonsense reasoning to elicit and maintain models that represent users' conceptualisations. Such user models will enable taking into account the users' perspective of the real world and will empower personalisation algorithms for the Semantic Web. Intelligent information processing over the Semantic Web can be achieved if different conceptualisations can be integrated in a semantic environment and mismatches between different conceptualisations can be outlined. In this paper, a formal approach for detecting mismatches between a user's and an expert's conceptual model is outlined. The formalisation is used as the basis to develop algorithms to compare models defined in OWL. The algorithms are illustrated in a geographical domain using concepts from the SPACE ontology developed as part of the SWEET suite of ontologies for the Semantic Web by NASA, and are evaluated by comparing test cases of possible user misconceptions

Alternative Modes for Teaching Mathematical Problem Solving: An Overview

Various modes are proffered as alternatives for teaching mathematical problem solving. Each mode is described briefly, along with general purposes, advantages and disadvantages. Combinations of modes are suggested; general issues identified; recommendations offered; and feedback from teachers summarized

Scoping analytical usability evaluation methods: A case study

Analytical usability evaluation methods (UEMs) can complement empirical evaluation of systems: for example, they can often be used earlier in design and can provide accounts of why users might experience difficulties, as well as what those difficulties are. However, their properties and value are only partially understood. One way to improve our understanding is by detailed comparisons using a single interface or system as a target for evaluation, but we need to look deeper than simple problem counts: we need to consider what kinds of accounts each UEM offers, and why. Here, we report on a detailed comparison of eight analytical UEMs. These eight methods were applied to it robotic arm interface, and the findings were systematically compared against video data of the arm ill use. The usability issues that were identified could be grouped into five categories: system design, user misconceptions, conceptual fit between user and system, physical issues, and contextual ones. Other possible categories such as User experience did not emerge in this particular study. With the exception of Heuristic Evaluation, which supported a range of insights, each analytical method was found to focus attention on just one or two categories of issues. Two of the three "home-grown" methods (Evaluating Multimodal Usability and Concept-based Analysis of Surface and Structural Misfits) were found to occupy particular niches in the space, whereas the third (Programmable User Modeling) did not. This approach has identified commonalities and contrasts between methods and provided accounts of why a particular method yielded the insights it did. Rather than considering measures such as problem count or thoroughness, this approach has yielded insights into the scope of each method

BIMing the architectural curricula: integrating Building Information Modelling (BIM) in architectural education

Building Information Modelling (BIM) reflects the current heightened transformation within the Architectural, Engineering and Construction (AEC) Industry and the Facilities and Management (FM) sector, offering a host of benefits from increased efficiency, accuracy, speed, co-ordination, consistency, energy analysis, project cost reduction etc to various stake holders from owners to architects, engineers, contractors and other built environment professionals. Many countries around the world are responding to this paradigm shift including the United Kingdom (UK). The Cabinet office took the decision in 2011 to make the use of collaborative 3D BIM technology mandatory for all public sector construction contracts by 2016 (Cabinet Office, 2011). According to Smith and Tardif, despite certain myths and misconceptions surrounding BIM, its rate of implementation has been much faster in comparison to the availability of professionals skilled in use of BIM, thus creating a skill gap in the design and construction industry (Smith and Tardif, cited in Barison and Santos, 2010a). This article aims at bridging the gap between the graduate skill sets and the changing needs of the profession. The research methodology adopted consists of thoroughly reviewing the existing literature in this subject area coupled with carrying out a survey of accredited Schools of Architecture in the UK. The analysis of the survey questionnaire results shows the extent to which BIM is currently being taught and identifies the barriers where its implementation has either been slow or not yet started. The paper highlights the fact that there has been considerable delay in the successful integration of BIM in the Schools of Architecture in the UK, thus emphasising the need for expeditiously training and preparing students in the use of BIM making them ready to effectively perform in a BIM enabled work arena

Using an online formative assessment framework to enhance student engagement: a learning outcomes approach

Students learn best when they are fully engaged in the learning process, are motivated to test their current level of learning against known standards, and are offered targeted and timely support to help address subsequent personal learning needs. The most usual way to do this is through the use of assessment, but this in itself can act as an overbearing influence on what and how students learn, rather than providing an holistic support mechanism that encourages continuous reflective learning. Summative assessment provides a quantitative measure of learning at specific points in time, but may not encourage students to focus on specific strengths and weaknesses in need of attention. Formative assessment can provide specific reflective and feed-forward support, but given the time-poor nature of many students, is this perceived as a useful part of the learning process? This paper presents an overview of work in progress (funded by Centre for Open Learning in Maths, Science, Computing and Technology CETL at The Open University), on the development and implementation of an online interactive formative assessment framework, that has designed from a constructivist perspective, to promote student engagement and understanding of academic progression, using an learning outcomes approach. The framework specifically aims to enhance student awareness, understanding and recognition of competency levels, and to allow testing of ongoing academic progress at predetermined and self-selected points throughout the year. Each assessment makes explicit links to other components of the course including the summative assessment strategy, as a means of providing an integrated approach to learning. By working through the formative assessments it is hoped that students will become more self-directed and confident in their learning skills and abilities, which in turn should improve retention. The framework uses OpenMark (a web-based system developed within the Open University) in which students have up to three attempts to correctly answer each question, and are offered instantaneous and targeted feedback after each incorrect attempt. The system collects information on the answers submitted, and the time taken to complete each question, offering valuable insight into how (and which) students are engaging with the assessment and course materials. This data permits new targeted feedback to be added in response to common errors, as well as additional support mechanisms to be incorporated in response to specific skills or content that is poorly demonstrated. All feedback in the framework is formative, commenting on how well each of the learning outcomes tested over a period of study has been demonstrated, as well as the overall level of academic competency attained at that point in time. At present, the framework encompasses seven interactive assessments (linked to fortnightly periods of study), consisting of ten variable-format questions (set at two levels of academic complexity). A planned eighth assessment will randomly select questions from preceding assessments, offering an instantaneous interactive revision tool. Preliminary results indicate that students not only rate the assessments as enjoyable, but are revisiting specific assessments as a means of enhancing previous outcomes and checking their progression on aspects they previously had difficulties with