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Cui, Zhongmin – Educational Measurement: Issues and Practice, 2021
Commonly used machine learning applications seem to relate to big data. This article provides a gentle review of machine learning and shows why machine learning can be applied to small data too. An example of applying machine learning to screen irregularity reports is presented. In the example, the support vector machine and multinomial naïve…
Descriptors: Artificial Intelligence, Man Machine Systems, Data, Bayesian Statistics
Frank Wang – Numeracy, 2021
This tutorial uses publicly available data from drug makers and the Food and Drug Administration to guide learners to estimate the confidence intervals of COVID-19 vaccine efficacy rates with a Bayesian framework. Under the classical approach, there is no probability associated with a parameter, and the meaning of confidence intervals can be…
Descriptors: COVID-19, Pandemics, Immunization Programs, Program Effectiveness
Uto, Masaki; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2016
As an assessment method based on a constructivist approach, peer assessment has become popular in recent years. However, in peer assessment, a problem remains that reliability depends on the rater characteristics. For this reason, some item response models that incorporate rater parameters have been proposed. Those models are expected to improve…
Descriptors: Item Response Theory, Peer Evaluation, Bayesian Statistics, Simulation
Tuttle, Christina Clark; Gleason, Philip; Knechtel, Virginia; Nichols-Barrer, Ira; Booker, Kevin; Chojnacki, Gregory; Coen, Thomas; Goble, Lisbeth – Mathematica Policy Research, Inc., 2015
KIPP (Knowledge is Power Program) is a national network of public charter schools whose stated mission is to help underserved students enroll in and graduate from college. Prior studies (see Tuttle et al. 2013) have consistently found that attending a KIPP middle school positively affects student achievement, but few have addressed longer-term…
Descriptors: Program Effectiveness, Program Evaluation, Academic Achievement, Charter Schools
Tuttle, Christina Clark; Gleason, Philip; Knechtel, Virginia; Nichols-Barrer, Ira; Booker, Kevin; Chojnacki, Gregory; Coen, Thomas; Goble, Lisbeth – Mathematica Policy Research, Inc., 2015
KIPP (Knowledge is Power Program) is a national network of public charter schools whose stated mission is to help underserved students enroll in and graduate from college. Prior studies (see Tuttle et al. 2013) have consistently found that attending a KIPP middle school positively affects student achievement, but few have addressed longer-term…
Descriptors: Academic Achievement, Charter Schools, Educational Innovation, Institutional Characteristics
Pullenayegum, Eleanor M.; Guo, Qing; Hopkins, Robert B. – Journal of Statistics Education, 2012
Graduate students in the health sciences who hope to become independent researchers must be able to write up their results at a standard suitable for submission to peer-reviewed journals. Bayesian analyses are still rare in the medical literature, and students are often unclear on what should be included in a manuscript. Whilst there are published…
Descriptors: Bayesian Statistics, Critical Thinking, Graduate Students, Health Sciences
Maxwell, Martha – 1998
Simple Bayesian approaches can be applied to answer specific questions in evaluating an individualized reading program. A small reading and study skills program located in the counseling center of a major research university collected and compiled data on student characteristics such as class, number of sessions attended, grade point average, and…
Descriptors: Bayesian Statistics, Data Collection, Decision Making, Higher Education

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