E-assessment: how can we support tutors with their marking of electronically submitted assignments?

One of the problems with tutor feedback to students is that a balanced combination of socio emotive and cognitive support is required from the teaching staff, and the feedback needs to be relevant to the assigned grade. Is it possible to capitalise on technology to build training systems for tutors in Higher Education, that will support them with their feedback to students, and which will encourage their students to become more reflective learners? One approach to this question was to build an electronic tool to support tutors in the feedback process. Our work has involved building an open-source mentoring tool for tutors, known as Open Mentor. This tool analyses and displays the different types of comments provided by the tutor as feedback to the student. It then provides reflective comments to the tutor about their use of feedback. Open Mentor was not designed for use at institutional level, but to give teaching staff a tool that can be used in training and also later as personal support that will enable individual tutors to track their use of feedback to students

Towards a model for evaluating student learning via e-assessment

The need for practical tools to assess student learning at the course level is becoming a more pressing goal for all academic institutions. This is because learning assessment tools which monitor both student performance and conceptual change events that lead to improved learning ultimately provide the basis for the subsequent assessments of programs and institutions. In performing effectively in this capacity, a viable and efficient assessment tool at the course level possesses the following characteristics; 1) the ability to be integrated effectively within the existing course structure, 2) the ability to generate quantitative, measurable results, and 3) the ability to provide timely feedback. This paper proposes a model for assessing student learning at the course level which utilizes, in part, online assessment methods (eAssessments) to achieve these characteristics. More specifically, the model provides a description of how assessment may be embedded into an existing course and illustrates the utilization of online pre/post-tests and knowledge surveys as a source of assessment data. The data analysis, based in part upon Bloom's revised taxonomy, is then discussed together with how the results are used to determine the level of learning achieved. The paper concludes with a proposal for an experiment wherein the model is tested to determine its ability to detect changes in student learning originating from the implementation of a pedagogical strategy such as online tutoring

Piloting a new approach: Making use of technology to present a distance learning computer science course

Computer‐Mediated Communication (CMC) systems have been described and evaluated in a number of ways by different researchers in the field. This paper proposes that computer conferencing systems should be designed to encourage students to participate in three dimensions previously treated by separate researchers. These can be summarized as a knowledge dimension, a social dimension and a motivational dimension. This paper reports on how one particular conference, that of M205‐STILE, was constructed to take account of these dimensions and to facilitate students’ computer‐supported cooperative learning

Benchmarking assessment: breaking down barriers and building institutional understanding

Benchmarking offers a comprehensive way of measuring current practice in an institution; whilst also gauging achievement against external sources. Although e-learning has been benchmarked with a number of universities in the UK and abroad no one to date has tackled the area of assessment; which is now becoming of more concern with the advent of e-assessment. This paper describes the construction of a set of benchmarking measures/indicators and the outcome of early pilots which combine a survey instrument and semi-structured interview methodologies. The findings suggest that building a comprehensive and robust core of benchmark measures can have great utility and value to institutions; not just in external benchmarking but also in internal reviews. It can also assist with setting baselines, exploring the student experience, providing staff with data meaningful to their role and professional development together with supporting a continuous improvement trajectory

Authentic assessment: What does it mean and how is it instantiated by a group of distance learning academics?

This paper reports on a project undertaken at The Open University which set out to explore academics’ notion and practice of authentic assessment. The findings revealed that authentic assessment is not only a difficult notion to define but it is also problematic to collate features within an assessment task that define it as authentic assessment. An electronic questionnaire was constructed to investigate academics’ understanding of authentic assessment. The tutors’ perceptions of authentic assessment fell into two distinct areas: one that is associated with real world scenarios and the other linked to the construction and marking of an authentic assessment task. The findings point the way towards increasing the understanding of this concept in order to avoid making assessment appear on the surface to be more like real life but with the students still perceiving the questions to be rather artificial and contrived

Developing a Roadmap for e-Assessment: Which Way Now?

e-Assessment is of strategic importance to the UK since it forms an integral part of the e-learning movement which is a major global growth industry. This paper reports results from a project commissioned by JISC which set out to develop a Roadmap for e-assessment. This methodological approach was drawn from a range of 'roadmap? methodologies collected by Glenn and Gordon (2003). It facilitated the identification of the enabling factors and barriers to the use e-assessment through the construction of a survey which probed a number of experts opinions. The analysis of the various sources suggest that in England and Wales it is policy pressure which is a main driver and it is affecting more of the FE sector than the HE sector. In the HE sector institutions have more control over the rate and uptake of e-assessment as they award their own degrees. However, there is a recognition in HE that with larger classes and less tutorial time, tutors can keep track of their students? progress through e-assessment systems. They can adjust their lectures accordingly after they have picked up the misconceptions of a cohort through e-assessment feedback. At a personal level teachers/enthusiasts are addressing pedagogical problems through e-assessment. The barriers identified at a superinstitutional level, for example the . DfES, funding bodies, and examining bodies, are that of regulation, confidentiality and testing of these systems before they go across the UK. While the main drivers at a superinstitutional level are to move towards a new generation of learners engaged in self-reflection who will be able to identify their own learning needs. One of the major drivers for institutions to adopt e-assessment practices is that of student retention. HE and FE also see benefits with respect to attendance and achievement. This paper outlines the methods used and describes key barriers which will have to be overcome if e-Assesment is to be effectively deployed across UK HE and FE sectors