Publication Date
| In 2026 | 0 |
| Since 2025 | 74 |
| Since 2022 (last 5 years) | 574 |
| Since 2017 (last 10 years) | 1763 |
| Since 2007 (last 20 years) | 4883 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 390 |
| Practitioners | 378 |
| Researchers | 111 |
| Students | 29 |
| Policymakers | 16 |
| Administrators | 13 |
| Parents | 9 |
| Counselors | 8 |
| Community | 1 |
| Media Staff | 1 |
Location
| Australia | 130 |
| California | 92 |
| Canada | 87 |
| United States | 85 |
| Germany | 82 |
| Florida | 80 |
| Texas | 73 |
| Turkey | 68 |
| United Kingdom | 61 |
| New York | 52 |
| United Kingdom (England) | 52 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 13 |
| Does not meet standards | 13 |
Denby, Thomas; Schecter, Jeffrey; Arn, Sean; Dimov, Svetlin; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…
Descriptors: Phonology, Probability, Learning Processes, Syllables
Heyvaert, Mieke; Deleye, Maarten; Saenen, Lore; Van Dooren, Wim; Onghena, Patrick – International Journal of Research & Method in Education, 2018
When studying a complex research phenomenon, a mixed methods design allows to answer a broader set of research questions and to tap into different aspects of this phenomenon, compared to a monomethod design. This paper reports on how a sequential equal status design (QUAN ? QUAL) was used to examine students' reasoning processes when solving…
Descriptors: High School Students, Problem Solving, Probability, Mixed Methods Research
Jacobs, Babs; Wolbers, Maarten H. J. – Educational Research and Evaluation, 2018
This article examines the extent to which parental socioeconomic status (SES) affects the likelihood of a child becoming a top-performing student, offering an international perspective by reporting this relationship in 31 developed countries. The impact of 3 important educational system characteristics (differentiation in terms of early tracking,…
Descriptors: Parent Background, Socioeconomic Status, Probability, Academic Achievement
Mao, Ye; Lin, Chen; Chi, Min – Journal of Educational Data Mining, 2018
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…
Descriptors: Prediction, Pretests Posttests, Bayesian Statistics, Short Term Memory
Hull, Justin A. – ProQuest LLC, 2018
Many students who enter a community college expect to transfer and earn a bachelor's degree, yet many are unable to do so largely because of inefficiencies in the transfer of earned credits. Prior research has shown that students who leave community college with an associate degree are more likely to complete bachelor's degrees. However, this has…
Descriptors: Associate Degrees, Bachelors Degrees, Outcomes of Education, Educational Attainment
Natalia M. Mezhennaya; Oleg V. Pugachev – Problems of Education in the 21st Century, 2018
The impact of a complex of interactive computer algebra system (CAS) based methods with usage of supplementary education materials (e.g., interactive presentations, computer modeling patterns and supplementary home tasks prepared in CAS Mathematica) on the education outcomes in the subject "Probability theory and mathematical statistics"…
Descriptors: Engineering Education, Foreign Countries, College Students, Computer Assisted Instruction
De, Anindya – ProQuest LLC, 2013
The thesis explores efficient learning algorithms in settings which are more restrictive than the PAC model of learning (Valiant) in one of the following two senses: (i) The learning algorithm has a very weak access to the unknown function, as in, it does not get labeled samples for the unknown function (ii) The error guarantee required from the…
Descriptors: Mathematics, Models, Artificial Intelligence, Probability
MacRoy-Higgins, Michelle; Dalton, Kevin Patrick – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The purpose of this study was to examine the influence of phonotactic probability on sublexical (phonological) and lexical representations in 3-year-olds who had a history of being late talkers in comparison with their peers with typical language development. Method: Ten 3-year-olds who were late talkers and 10 age-matched typically…
Descriptors: Preschool Children, Language Acquisition, Expressive Language, Delayed Speech
Sali, Anthony W.; Anderson, Brian A.; Yantis, Steven – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Individuals regularly experience fluctuations in the ability to perform cognitive operations. Although previous research has focused on predicting cognitive flexibility from persistent individual traits, as well as from spontaneous fluctuations in neural activity, the role of learning in shaping preparatory attentional control remains poorly…
Descriptors: Attention Control, Learning Processes, Probability, Visual Learning
Langan, Dean; Higgins, Julian P. T.; Simmonds, Mark – Research Synthesis Methods, 2015
Heterogeneity in meta-analysis is most commonly estimated using a moment-based approach described by DerSimonian and Laird. However, this method has been shown to produce biased estimates. Alternative methods to estimate heterogeneity include the restricted maximum likelihood approach and those proposed by Paule and Mandel, Sidik and Jonkman, and…
Descriptors: Meta Analysis, Comparative Analysis, Maximum Likelihood Statistics, Probability
Lohr, Sharon L. – Education Policy Analysis Archives, 2015
Value-added models are being implemented in many states in an attempt to measure the contributions of individual teachers and schools toward students' learning. Scores from these models are increasingly used for high-stakes purposes such as setting compensation, hiring or dismissing teachers, awarding tenure, and closing schools. The statistician…
Descriptors: Value Added Models, Educational Quality, Educational Improvement, Statistics
Pickett, Justin T.; Loughran, Thomas A.; Bushway, Shawn – Sociological Methods & Research, 2015
Survey respondents' probabilistic expectations are now widely used in many fields to study risk perceptions, decision-making processes, and behavior. Researchers have developed several methods to account for the fact that the probability of an event may be more ambiguous for some respondents than others, but few prior studies have empirically…
Descriptors: Surveys, Probability, Risk, Decision Making
Susewind, Raphael – Field Methods, 2015
Fine-grained data on religious communities are often considered sensitive in South Asia and consequently remain inaccessible. Yet without such data, statistical research on communal relations and group-based inequality remains superficial, hampering the development of appropriate policy measures to prevent further social exclusion on the basis of…
Descriptors: Probability, Statistical Inference, Religious Cultural Groups, Mathematics
Dietrich, Cecile C.; Lichtenberger, Eric J. – Review of Higher Education, 2015
Research studies have been ambivalent about whether enrolling in community college makes completing a bachelor's degree less likely than directly enrolling in a four-year institution. This study uses propensity score matching with a posttreatment adjustment to determine the treatment effect associated with taking the community college to four-year…
Descriptors: Community Colleges, Enrollment, Bachelors Degrees, Graduation
Markovits, Henry; Brisson, Janie; de Chantal, Pier-Luc – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
One of the major debates concerning the nature of inferential reasoning is between counterexample-based theories such as mental model theory and probabilistic theories. This study looks at conclusion updating after the addition of statistical information to examine the hypothesis that deductive reasoning cannot be explained by probabilistic…
Descriptors: Logical Thinking, Theories, Bayesian Statistics, Probability

Peer reviewed
Direct link
