2008
DOI: 10.14742/ajet.1217
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Promoting staff learning about assessment through digital representations of practice: Evaluating a pilot project

Abstract: The Assessment Snapshots digital resource is a current project to support academic learning about assessment by diffusing knowledge and understanding of locally contextualised good practice in assessment at an Australian university. An initial collection of Snapshots was made available to academic staff on the University's web site in early 2006. This paper describes how the resource has been utilised by teachers and explains the uses that academic developers have made of the resource in supporting teachers to… Show more

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Cited by 2 publications
(4 citation statements)
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“…After these two steps are completed, students can take the exam. In order to verify the feasibility and superiority of the method proposed in this paper, we selected the resource integration methods of [23] and [24] to make a comparative experiment with this method and obtained the following results.…”
Section: Results Analysis and Discussionmentioning
confidence: 99%
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“…After these two steps are completed, students can take the exam. In order to verify the feasibility and superiority of the method proposed in this paper, we selected the resource integration methods of [23] and [24] to make a comparative experiment with this method and obtained the following results.…”
Section: Results Analysis and Discussionmentioning
confidence: 99%
“…From the trend in Figure 7, it can be seen that the resource integration and optimization efficiency of [23] and [24] is low, and the integration and optimization efficiency of this method remains at a high level. It shows that this method is superior to other methods.…”
Section: Results Analysis and Discussionmentioning
confidence: 99%
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“…ey later discovered, however, the efficiency of the rule-based word segmentation method was not as high as they had hoped. If special nouns that are not used or registered are not included, literature [20] uses a word segmentation method called "twice scanning association-backtracking," which has a segmentation accuracy rate of 98.6% and a running speed of 48 words/minute. A better maximum matching method, namely, maximum matching with positive increasing words, was proposed in the literature [21].…”
Section: Related Workmentioning
confidence: 99%