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Cook, Joshua; Lynch, Collin F.; Hicks, Andrew G.; Mostafavi, Behrooz – International Educational Data Mining Society, 2017
BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…
Descriptors: Models, Bayesian Statistics, Data Use, Intelligent Tutoring Systems
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Sanders, Elizabeth A.; Dietrich, Elizabeth A. – AERA Online Paper Repository, 2017
The purpose of this paper is to provide guidance in choice of analytic bias reduction methods for educational studies in which the goal is to estimate a treatment effect in the presence of selection bias into treatment. In addition, issues of dimensionality, collinearity, omitted confounders, missing outcomes, and non-independence may be factors…
Descriptors: Statistical Bias, Quasiexperimental Design, Computation, Educational Research
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Chan, Wendy – AERA Online Paper Repository, 2017
Policymakers are increasingly interested in the extent to which experimental results generalize from a sample to a population of inference. When the sample is not randomly selected, propensity score methods are used to reweight the sample. Subclassification by propensity score is commonly used in which the population is partitioned into strata…
Descriptors: Generalization, Classification, Randomized Controlled Trials, Inferences
Barry Aidman – Sage Research Methods Cases, 2017
This case study examines the research process used to assess the intermediate effects of a community-based college preparation program in a fast growth, high needs exurban school district in Texas. Because it was not possible to randomly assign participants to treatment or control conditions, a nonexperimental design using propensity score…
Descriptors: Probability, Scores, College Preparation, College Programs
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Tampieri, Alessandro – Education Economics, 2016
This paper argues that assortative matching may explain over-education. Education determines individuals' income and, due to the presence of assortative matching, the quality of partners in personal, social and working life. Thus, an individual acquires education to improve the expected partners' quality. However, since every individual of the…
Descriptors: Educational Attainment, Overachievement, Education Work Relationship, Interpersonal Relationship
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Schwartz, Allan J. – Journal of College Student Psychotherapy, 2016
Among the approaches that have been used to balance the demand for services with the agency's service resources is to limit the number of visits available to clients. Such limits have been introduced, however, without any empirical basis for estimating the impact of a limit on the overall demand for services or the proportion of clients. The…
Descriptors: College Students, Counseling Services, Probability, Persistence
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Kang, Lili; Peng, Fei; Zhu, Yu – Studies in Higher Education, 2021
Using the China Family Panel Studies, we identify the subjects studied by vocational college and university graduates, with the latter group further divided into ordinary and key universities. While the returns are around 8-10% to attending colleges and ordinary universities, there are higher returns of 12-16% per annum to attending the more…
Descriptors: Higher Education, Institutional Characteristics, Foreign Countries, College Graduates
Jameson, Ellen; Whitney-Smith, Rachael; Macey, Darren; Morony, Will; Benson-Lidholm, Anne-Marie; Leigh-Lancaster, David – Mathematics Education Research Group of Australasia, 2021
This paper reports on a new initiative of collaborative work between the Australian Curriculum, Assessment and Reporting Authority (ACARA) and Cambridge University as part of the 2020-21 review of the Australian Curriculum: Mathematics Foundation -- Year 10. The ACARA mathematics curriculum development team worked with the Cambridge Mathematics…
Descriptors: Mathematics Instruction, National Curriculum, Secondary School Students, Grade 10
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Grineski, Sara; Daniels, Heather; Collins, Timothy; Morales, Danielle X.; Frederick, Angela; Garcia, Marilyn – Science Education, 2018
Research on the science, technology, engineering, and math (STEM) student development pipeline has largely ignored social class and instead examined inequalities based on gender and race. We investigate the role of social class in undergraduate student research publications. Data come from a sample of 213 undergraduate research participants…
Descriptors: Social Class, Writing for Publication, STEM Education, Undergraduate Students
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Erford, Bradley T.; Jackson, Jessica; Bardhoshi, Gerta; Duncan, Kelly; Atalay, Zumra – Measurement and Evaluation in Counseling and Development, 2018
Psychometric meta-analyses and reviews were provided for four commonly used suicidal ideation instruments: the Beck Scale for Suicide Ideation, the Suicide Ideation Questionnaire, the Suicide Probability Scale, and Columbia--Suicide Severity Rating Scale. Practical and technical issues and best use recommendations for screening and outcome…
Descriptors: Suicide, Psychological Patterns, Meta Analysis, Evaluation Methods
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Chen, Jie; Perie, Marianne – Computers in the Schools, 2018
Due to increased use of computer-based assessments, comparability studies are moving beyond paper-and-pencil versus computer-based assessments to analyze variances with computers. It is therefore practically important to determine whether screen size and definition of the device affect students' performance. Using data from a large school district…
Descriptors: Computer Assisted Testing, Laptop Computers, Computer System Design, Probability
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Whitehill, Jacob; Movellan, Javier – IEEE Transactions on Learning Technologies, 2018
We propose a method of generating teaching policies for use in intelligent tutoring systems (ITS) for concept learning tasks [1], e.g., teaching students the meanings of words by showing images that exemplify their meanings à la Rosetta Stone [2] and Duo Lingo [3]. The approach is grounded in control theory and capitalizes on recent work by [4],…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Educational Policy, Comparative Analysis
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Man, Kaiwen; Harring, Jeffery R.; Ouyang, Yunbo; Thomas, Sarah L. – International Journal of Testing, 2018
Many important high-stakes decisions--college admission, academic performance evaluation, and even job promotion--depend on accurate and reliable scores from valid large-scale assessments. However, examinees sometimes cheat by copying answers from other test-takers or practicing with test items ahead of time, which can undermine the effectiveness…
Descriptors: Reaction Time, High Stakes Tests, Test Wiseness, Cheating
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Bross, Leslie Ann; Common, Eric Alan; Oakes, Wendy Peia; Lane, Kathleen Lynne; Menzies, Holly M.; Ennis, Robin Parks – Beyond Behavior, 2018
High-probability request sequence (HPRS) is a low-intensity strategy designed to increase student compliance by creating behavioral momentum. Momentum is established by providing three to five requests that a noncompliant student is most likely to do followed quickly by a less preferred request. Herein, we describe a step-by-step process for using…
Descriptors: Probability, Classroom Techniques, Teaching Methods, Compliance (Psychology)
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Talanquer, Vicente – International Journal of Science Education, 2018
One of the central goals of modern science and chemistry education is to develop students' abilities to understand complex phenomena, and productively engage in explanation, justification, and argumentation. To accomplish this goal, we should better characterise the types of reasoning that we expect students to master in the different scientific…
Descriptors: Science Education, Chemistry, Science Process Skills, Abstract Reasoning
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