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Sotoudeh, Ramina; DiMaggio, Paul – Sociological Methods & Research, 2023
Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…
Descriptors: Algorithms, Simulation, Prediction, Correlation
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Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
Vogl, Tom – National Bureau of Economic Research, 2022
Sub-Saharan Africa exhibits higher fertility and lower education than other world regions. Economic and demographic theory posit that these phenomena are linked, with slow fertility decline connected to slow education growth among both adults and children. Using microdata from 33 African countries, this paper documents the co-evolution of adult…
Descriptors: Birth Rate, Educational Attainment, Adult Education, Females
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Kane, Michael T. – ETS Research Report Series, 2021
Ordinary least squares (OLS) regression provides optimal linear predictions of a dependent variable, y, given an independent variable, x, but OLS regressions are not symmetric or reversible. In order to get optimal linear predictions of x given y, a separate OLS regression in that direction would be needed. This report provides a least squares…
Descriptors: Least Squares Statistics, Regression (Statistics), Prediction, Geometric Concepts
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Grimm, Kevin J.; Helm, Jonathan; Rodgers, Danielle; O'Rourke, Holly – New Directions for Child and Adolescent Development, 2021
Developmental researchers often have research questions about cross-lag effects--the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its…
Descriptors: Comparative Analysis, Developmental Psychology, Prediction, Research Methodology
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Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
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Teimouri, Yasser; Sudina, Ekaterina; Plonsky, Luke – Journal for the Psychology of Language Learning, 2021
As a personality trait, second language (L2) grit--a combination of perseverance and passion for L2 learning--has recently been proposed as a meaningful predictor of learners' motivational behavior and L2 achievement. The results of a growing body of empirical studies carried out in various L2 contexts have substantiated the power of L2 grit in…
Descriptors: Personality Traits, Second Language Learning, Second Language Instruction, Resilience (Psychology)
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Cavojová, Vladimíra; Secara, Eugen-Calin; Jurkovic, Marek; Šrol, Jakub – Applied Cognitive Psychology, 2019
Propensity to judge randomly generated, syntactically correct (i.e., bullshit) statements as profound is associated with a variety of conceptually relevant variables (e.g., intuitive cognitive style and supernatural beliefs). Besides generalizing these findings to a different cultural setting, we examined the relationships to sharing the bullshit…
Descriptors: Syntax, Accuracy, Identification, Deception
Bartik, Timothy J.; Gormley, William; Amadon, Sara; Hummel-Price, Douglas; Fuller, James – W. E. Upjohn Institute for Employment Research, 2022
This paper presents new benefit-cost estimates for the Tulsa universal preschool program. These calculations are based on estimated effects from previous papers of Tulsa pre-K on high school graduation rates and college attendance rates of students who were enrolled in kindergarten in Tulsa Public Schools in the fall of 2006. In this paper,…
Descriptors: Cost Effectiveness, Preschool Education, Graduation Rate, College Attendance
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Raffo, Carlo; Forbes, Claire – Oxford Review of Education, 2021
There has been much discussion in educational policy on the apparent educational benefits for disadvantaged young people of engaging in schools' extra-curricular activities (ECAs). The evidence suggests strong associations between ECAs and improved educational attainments. Arguments made about the causal processes and underpinning associations…
Descriptors: Educational Philosophy, Extracurricular Activities, Policy Analysis, Disadvantaged
Hill, Catharine Bond; Kurzweil, Martin; Tobin, Eugene – ITHAKA S+R, 2023
With a decision pending in two lawsuits challenging race-conscious admissions practices at Harvard and the University of North Carolina at Chapel Hill (UNC), many observers are predicting that the US Supreme Court will significantly limit, if not completely prohibit, the use of race in college and university admissions. However if the United…
Descriptors: Court Litigation, Race, College Admission, Prediction
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Pielke, Roger; Linnér, Björn-Ola – Minerva: A Review of Science, Learning and Policy, 2019
This paper critiques the so-called "Green Revolution" as a political myth of averted famine. A "political myth," among other functions, reflects a narrative structure that characterizes understandings of causality between policy action and outcome. As such, the details of a particular political myth elevate certain policy…
Descriptors: Misconceptions, Natural Disasters, Criticism, Conservation (Environment)
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Srour, F. Jordan; Karkoulian, Silva – International Journal of Social Research Methodology, 2022
The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…
Descriptors: Diversity, Decision Making, Artificial Intelligence, Correlation
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Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Goswami, Usha; Bryant, Peter – Psychology Press, Taylor & Francis Group, 2016
In this classic edition of their ground-breaking work, Usha Goswami and Peter Bryant revisit their influential theory about how phonological skills support the development of literacy. The book describes three causal factors which can account for children's reading and spelling development: (1) pre­school phonological knowledge of rhyme and…
Descriptors: Phonology, Language Skills, Reading, Spelling
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