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Pournara, Craig; Hodgen, Jeremy; Sanders, Yvonne; Adler, Jill – Pythagoras, 2016
It is well known that learner performance in mathematics in South Africa is poor. However, less is known about what learners actually do and the extent to which this changes as they move through secondary school mathematics. In this study a cohort of 250 learners was tracked from Grade 9 to Grade 11 to investigate changes in their performance on a…
Descriptors: Secondary School Mathematics, Algebra, Grade 9, Grade 10
Murchan, Damian; Oldham, Elizabeth – Irish Educational Studies, 2017
Concern about children's mathematics performance in Ireland and elsewhere has prompted a range of responses from researchers, policymakers, educators and the media. While policy-level responses in Ireland include revising curricula and implementing a numeracy strategy that calls for increased tuition hours, teachers have also drawn on a wide array…
Descriptors: Computer Assisted Testing, Mathematics Instruction, Error Patterns, Mathematical Concepts
Ketterlin-Geller, Leanne R.; Yovanoff, Paul – Practical Assessment, Research & Evaluation, 2009
Diagnosis is an integral part of instructional decision-making. As the bridge between identification of students who may be at-risk for failure and delivery of carefully designed supplemental interventions, diagnosis provides valuable information about students' persistent misconceptions in the targeted domain. In this paper, we discuss current…
Descriptors: Diagnostic Tests, Mathematics Tests, Mathematics Instruction, Decision Making
Underwood, Jody S. – ETS Research Report Series, 2007
The past several decades have seen numerous approaches toward automated diagnosis and instructional support of students engaged in mathematics problem-solving. These approaches typically involve detailed analysis of potential solution paths for problems, formal representations of correct and incorrect answers, and support in the form of feedback…
Descriptors: Mathematics Instruction, Problem Solving, Automation, Diagnostic Tests
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection