31 research outputs found

    Screen-based assessment

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    Inexorably and across several fronts, screen-based assessment is becoming a major part of the experience of university students, particularly but not exclusively in the sciences. This movement reflects the emphasis the Qualifications and Curriculum Authority (QCA) is giving to the development of screen-based assessment at secondary level, where the universal availability of an -assessment option in high stakes exams is an adopted goal.The drivers for this change are economic, pedagogic and opportunistic. Rapid technological progress is facilitating the wider availability of computer based tasks that reflect authentically the learning outcomes of science courses. There is growing experience in the design of such tasks, with increasing commercial involvement, particularly in the USA. An examination of theories of assessment demonstrates that there are sound pedagogic reasons to pursue these developments.The main focus of this review will be assessment for which a computer acts as a means of delivery, grading and feedback. I will outline the capabilities of contemporary systems, illustrate some good practice, and identify areas where the use of the technology is moving forward rapidly. There are exciting developments in the grading of free format responses, in diagram or text form, which are now emerging on a pilot basis. Of particular interest is the assessment of higher order cognitive and subject skills. Alsoimportant is the potential for item banks that can allow the sharing of the costs of authorship. Several of these issues are reviewed more fully in Conole and Warbuton.Finally, I will comment briefly on assessment that is facilitated by computers without the computer acting as a grading tool. At a mundane level, this might involve the electronic submission of traditional assignments. Of more interest are electronically mediated peer assessment, the generation of e-portfolios, the grading of screen based experimentation and the evaluation of the student’s performance in contributing to computer based group activities, e.g. Wikis, electronic conferences, etc

    Formative assessment in science teaching

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    The Formative Assessment in Science project was funded by HEFCE as part of the Fund for the Development of Teaching and Learning Programme. Its work was completed in March 2006. The project was centred on a strong collaboration between the Open University and Sheffield Hallam University, but also involved ~20 other universities in action learning activities aimed at improving formative assessment. The project partners used a conceptually and empirically based framework of conditions which, if met, lead to assessment that drives learning. The projects were diverse and the many positive assessment changes achieved demonstrate that the approach of a framework based analysis and careful evaluation can be successful in improving the student experience. I will summarise some of the main conclusions of the project. One concerns the creation of written feedback that promotes learning rather than merely justifying marks. A second covers the effective use of peer assessment. Finally, I will outline the tools that the project has generated. These will remain available for others to undertake similar reform activities

    Design of higher education teaching models and carbon impacts

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    Purpose This research examines the main findings of the SusTEACH study of the carbon-based environmental impacts of 30 higher education (HE) courses in 15 UK institutions, based on an analysis of the likely energy consumption and carbon emissions of a range of Face-to-face, Distance, Online and ICT-enhanced blended teaching models. Design/methodology/approach An environmental assessment of 19 campus-based and 11 distance-based HE courses was conducted using questionnaire surveys to gather data from students and lecturers on course-related travel; the purchase and use of Information and Communication Technologies (ICTs) and paper materials; residential energy consumption, and campus site operations. Results were converted into average energy and CO2 emissions, normalised per student per 100 study hours, and then classified by the primary teaching model used by lecturers. Findings The main sources of HE course carbon emissions were travel; residential energy consumption; and campus site operations. Distance-based HE models (Distance, Online and ICT-enhanced teaching models) reduced energy consumption by 88% and achieved significant carbon reductions of 83% when compared with campus-based HE models (Face-to-face and ICT-enhanced teaching models). The Online teaching model achieved the lowest energy consumption and carbon emissions, although there were potential rebound effects associated with increased ICT-related energy consumption and paper used for printing. Practical implications New pedagogical designs using online and distance-based teaching methods can achieve carbon reductions by reducing student travel, residential and campus accommodation. Originality/value Few studies have examined the environmental performance of HE teaching models. A new classification of HE traditional, online and blended teaching models is used to examine the role of ICTs and the likely carbon impacts

    Combining temporal and spectral information with spatial mapping to identify differences between phonological and semantic networks: a Magnetoencephalographic (MEG) approach

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    Early, lesion-based models of language processing suggested that semantic and phonological processes are associated with distinct temporal and parietal regions respectively, with frontal areas more indirectly involved. Contemporary spatial brain mapping techniques have not supported such clear-cut segregation, with strong evidence of activation in left temporal areas by both processes and disputed evidence of involvement of frontal areas in both processes. We suggest that combining spatial information with temporal and spectral data may allow a closer scrutiny of the differential involvement of closely overlapping cortical areas in language processing. Using beamforming techniques to analyze magnetoencephalography data, we localized the neuronal substrates underlying primed responses to nouns requiring either phonological or semantic processing, and examined the associated measures of time and frequency in those areas where activation was common to both tasks. Power changes in the beta (14–30 Hz) and gamma (30–50 Hz) frequency bands were analyzed in pre-selected time windows of 350–550 and 500–700 ms In left temporal regions, both tasks elicited power changes in the same time window (350–550 ms), but with different spectral characteristics, low beta (14–20 Hz) for the phonological task and high beta (20–30 Hz) for the semantic task. In frontal areas (BA10), both tasks elicited power changes in the gamma band (30–50 Hz), but in different time windows, 500–700 ms for the phonological task and 350–550 ms for the semantic task. In the left inferior parietal area (BA40), both tasks elicited changes in the 20–30 Hz beta frequency band but in different time windows, 350–550 ms for the phonological task and 500–700 ms for the semantic task. Our findings suggest that, where spatial measures may indicate overlapping areas of involvement, additional beamforming techniques can demonstrate differential activation in time and frequency domains

    Magnetoencephalographic Signals Identify Stages in Real-Life Decision Processes

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    We used magnetoencephalography (MEG) to study the dynamics of neural responses in eight subjects engaged in shopping for day-to-day items from supermarket shelves. This behavior not only has personal and economic importance but also provides an example of an experience that is both personal and shared between individuals. The shopping experience enables the exploration of neural mechanisms underlying choice based on complex memories. Choosing among different brands of closely related products activated a robust sequence of signals within the first second after the presentation of the choice images. This sequence engaged first the visual cortex (80-100 ms), then as the images were analyzed, predominantly the left temporal regions (310-340 ms). At longer latency, characteristic neural activetion was found in motor speech areas (500-520 ms) for images requiring low salience choices with respect to previous (brand) memory, and in right parietal cortex for high salience choices (850-920 ms). We argue that the neural processes associated with the particular brand-choice stimulus can be separated into identifiable stages through observation of MEG responses and knowledge of functional anatomy
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