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Using Keystroke Analytics to Improve Pass-Fail Classifiers
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Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
A Response to an Article Published in "Educational Research"'s Special Issue on Assessment (June 2009). What Can Be Inferred about Classification Accuracy from Classification Consistency?
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Bramley, Tom – Educational Research, 2010
Background: A recent article published in "Educational Research" on the reliability of results in National Curriculum testing in England (Newton, "The reliability of results from national curriculum testing in England," "Educational Research" 51, no. 2: 181-212, 2009) suggested that: (1) classification accuracy can be…
Descriptors: National Curriculum, Educational Research, Testing, Measurement
Educational Measurement Issues and Implications of High Stakes Decision Making in Final Examinations in Secondary Education in the Netherlands
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van Rijn, P. W.; Beguin, A. A.; Verstralen, H. H. F. M. – Assessment in Education: Principles, Policy & Practice, 2012
While measurement precision is relatively easy to establish for single tests and assessments, it is much more difficult to determine for decision making with multiple tests on different subjects. This latter is the situation in the system of final examinations for secondary education in the Netherlands and is used as an example in this paper. This…
Descriptors: Secondary Education, Tests, Foreign Countries, Decision Making