39,230 research outputs found

    Towards an Integrative Formative Approach of Data-Driven Decision Making, Assessment for Learning, and Diagnostic Testing

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    This study concerns the comparison of three approaches to assessment: Data-Driven Decision Making, Assessment for Learning, and Diagnostic Testing. Although the three approaches claim to be beneficial with regard to student learning, no clear study into the relationships and distinctions between these approaches exists to date. The goal of this study was to investigate the extent to which the three approaches can be shaped into an integrative formative approach towards assessment. The three approaches were compared on nine characteristics of assessment. The results suggest that although the approaches seem to be contradictory with respect to some characteristics, it is argued that they could complement each other despite these differences. The researchers discuss how the three approaches can be shaped into an integrative formative approach towards assessmen

    Stability and sensitivity of Learning Analytics based prediction models

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    Learning analytics seek to enhance the learning processes through systematic measurements of learning related data and to provide informative feedback to learners and educators. Track data from Learning Management Systems (LMS) constitute a main data source for learning analytics. This empirical contribution provides an application of Buckingham Shum and Deakin Crick’s theoretical framework of dispositional learning analytics: an infrastructure that combines learning dispositions data with data extracted from computer-assisted, formative assessments and LMSs. In two cohorts of a large introductory quantitative methods module, 2049 students were enrolled in a module based on principles of blended learning, combining face-to-face Problem-Based Learning sessions with e-tutorials. We investigated the predictive power of learning dispositions, outcomes of continuous formative assessments and other system generated data in modelling student performance and their potential to generate informative feedback. Using a dynamic, longitudinal perspective, computer-assisted formative assessments seem to be the best predictor for detecting underperforming students and academic performance, while basic LMS data did not substantially predict learning. If timely feedback is crucial, both use-intensity related track data from e-tutorial systems, and learning dispositions, are valuable sources for feedback generation

    Towards a self-improving system : the role of school accountability

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    What works best: evidence based practices to help improve NSW student performance

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    \u27What works best\u27 brings together seven themes from the growing bank of evidence we have for what works to improve student educational outcomes. The seven themes addressed here are:  1. High expectations 2. Explicit teaching 3. Effective feedback 4. Use of data to inform practice 5. Classroom management 6. Wellbeing 7. Collaboration These themes offer helpful ways of thinking about aspects of teaching practice but they are not discrete. Rather, they overlap and connect with one another in complex ways. For example, providing timely and effective feedback to students is another element of explicit teaching – two of the more effective types of feedback direct students’ attention to the task at hand and to the way in which they are processing that task. Similarly, being explicit about the learning goals of a lesson and the criteria for success gives high expectations a concrete form, which students can understand and aim for. Wellbeing and quality teaching are mutually reinforcing – if students with high levels of general wellbeing are more likely to be engaged productively with learning, it is also true that improving intellectual engagement can improve wellbeing.  The seven themes are not confined to what happens in classrooms. While they offer sound strategies for individual teachers to consider as part of their repertoires, evidence suggests that their effectiveness is stronger when they are implemented as whole-school approaches. For example, the literature indicates that teachers are more likely to make effective use of student data when working together than when working alone. Ideally, everyone associated with a school – including school leaders, parents, students and community members – will share a commitment not only to the school’s vision for development but to the mechanisms for achieving these goals, and will engage collaboratively in responding to the challenge

    Reframing e-assessment: building professional nursing and academic attributes in a first year nursing course

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    This paper documents the relationships between pedagogy and e-assessment in two nursing courses offered at the University of Southern Queensland, Australia. The courses are designed to build the academic, numeracy and technological attributes student nurses need if they are to succeed at university and in the nursing profession. The paper first outlines the management systems supporting the two courses and how they intersect with the e-learning and e-assessment components of course design. These pedagogical choices are then reviewed. While there are lessons to be learnt and improvements to be made, preliminary results suggest students and staff are extremely supportive of the courses. The e-assessment is very positively received with students reporting increased confidence and competency in numeracy, as well as IT, academic, research and communication skills

    Towards a personal best : a case for introducing ipsative assessment in higher education

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    The central role that assessment plays is recognised in higher education, in particular how formative feedback guides learning. A model for effective feedback practice is used to argue that, in current schemes, formative feedback is often not usable because it is strongly linked to external criteria and standards, rather than to the processes of learning. By contrast, ipsative feedback, which is based on a comparison with the learner's previous performance and linked to longterm progress, is likely to be usable and may have additional motivational effects. After recommending a move towards ipsative formative assessment, a further step would be ipsative grading. However, such a radical shift towards a fully ipsative regime might pose new problems and these are discussed. The article explores a compromise of a combined assessment regime. The rewards for learners are potentially high, and the article concludes that ipsative assessment is well worth further investigation. © 2011 Society for Research into Higher Education
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