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Articles 1 - 6 of 6
Full-Text Articles in Education
Pyp And Myp Student Performance On The International Schools’ Assessment (Isa), Ling Tan, Yan Bibby
Pyp And Myp Student Performance On The International Schools’ Assessment (Isa), Ling Tan, Yan Bibby
Dr Ling Tan
This study, undertaken by the Australian Council for Educational Research (ACER), investigated how International Baccalaureate (IB) students enrolled in the Primary Years Programme (PYP) and Middle Years Programme (MYP) performed on the International Schools’ Assessment (ISA), relative to non‐IB students. The ISA assesses student performance in Grades 3 to 10 across four domains: Math Literacy, Reading, Narrative Writing, and Expository Writing. The math and reading components of the assessment are based on the reading and mathematical literacy frameworks of the HOECD'sProgramme for International Student Assessment (PISA)H. The study sample included IB students (N=23,575) and non‐IB students ( …
Fit-To-Model Statistics For Evaluating Quality Of Bayesian Student Ability Estimation, Ling Tan
Fit-To-Model Statistics For Evaluating Quality Of Bayesian Student Ability Estimation, Ling Tan
Dr Ling Tan
Bayesian ability estimation is a statistical inferential framework constructed from a measurement model and a prior knowledge model. It is attractive in practice because Bayesian estimation methods offer an elegant way to incorporate appropriate knowledge on target ability distribution in order to improve the accuracy of ability estimation, when there are uncertainties or errors in observable data. One hurdle for applying Bayesian-based methods is evaluating the validity of Bayesian ability estimates at individual-level. This study investigated a class of fit-to-model statistics for quantifying the evidence used in learning Bayesian estimates. The relationship between fit-to-model statistics and root mean square error …
Performance Comparison Between Ib School Students And Non-Ib School Students On The International Schools’ Assessment (Isa) And On The Social And Emotional Wellbeing Questionnaire, Ling Tan, Yan Bibby
Performance Comparison Between Ib School Students And Non-Ib School Students On The International Schools’ Assessment (Isa) And On The Social And Emotional Wellbeing Questionnaire, Ling Tan, Yan Bibby
Dr Ling Tan
This report examines the performance of students enrolled in the IB Primary Years Programme (PYP) and the IB Middle Years Programme (MYP) on the ACER International Schools’ Assessment (ISA) compared with non-IB students from the same ISA cohorts. The ISA is an assessment created especially for students in international schools in Grades 3 to 10. The assessment asks both multiple-choice and open-ended questions in the areas of writing, reading and mathematics, and provides international normative information about student performance. The Reading and Mathematical Literacy are based on the internationally endorsed frameworks of the OECD's Programme for International Student Assessment (PISA).
Adaptive Estimated Maximum-Entropy Distribution Model, L Tan, D Taniar
Adaptive Estimated Maximum-Entropy Distribution Model, L Tan, D Taniar
Dr Ling Tan
The Estimation of Distribution Algorithm (EDA) model is an optimization procedure through learning and sampling a conditional probabilistic function. The use of conditional density function permits multivariate dependency modelling, which is not captured in a population-based representation, like the classical Genetic Algorithms. The Gaussian model is a simple and widely used model for density estimation. However, an assumption of normality is not realistic for many real-life problems. Alternatively, the maximum-entropy model can be used, which makes no assumption of a normal distribution. One disadvantage of the maximum-entropy model is the learning cost of its parameters. This paper proposes an Adaptive …
A Clustering Algorithm Based On An Estimated Distribution Model, L Tan, D Taniar, K Smith
A Clustering Algorithm Based On An Estimated Distribution Model, L Tan, D Taniar, K Smith
Dr Ling Tan
This paper applies an estimated distribution model to clustering problems. The proposed clustering method makes use of an inter-intra cluster metric and performs a conditional split-merge operation. With conditional splitting and merging, the proposed clustering method does not require the information of cluster number and an improved cluster vector is subsequently guaranteed. In addition, this paper compares movement conditions between inter-intra cluster metric and intra cluster metric. It proves that, under some conditions, the intersection of convergence space between inter-intra cluster metric and intra cluster metric is not empty, and neither is the other subset in the convergence space. This …
Parametric Optimization In Data Mining Incorporated With Ga-Based Search, L Tan, D Taniar, K Smith
Parametric Optimization In Data Mining Incorporated With Ga-Based Search, L Tan, D Taniar, K Smith
Dr Ling Tan
A number of parameters must be specified for a data-mining algorithm. Default values of these parameters are given and generally accepted as ‘good’ estimates for any data set. However, data mining models are known to be data dependent, and so are for their parameters. Default values may be good estimates, but they are often not the best parameter values for a particular data set. A tuned set of parameter values is able to produce a data-mining model of better classification and higher prediction accuracy. However parameter search is known to be expensive. This paper investigates GA-based heuristic techniques in a …