Publication Date
In 2025 | 29 |
Since 2024 | 131 |
Since 2021 (last 5 years) | 409 |
Since 2016 (last 10 years) | 892 |
Since 2006 (last 20 years) | 1639 |
Descriptor
Source
Author
Publication Type
Education Level
Location
Australia | 31 |
Germany | 20 |
United Kingdom (England) | 18 |
United States | 18 |
Canada | 17 |
Netherlands | 17 |
United Kingdom | 13 |
California | 12 |
Spain | 12 |
North Carolina | 11 |
Pennsylvania | 10 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 4 |
Individuals with Disabilities… | 2 |
Aid to Families with… | 1 |
Elementary and Secondary… | 1 |
Elementary and Secondary… | 1 |
Every Student Succeeds Act… | 1 |
Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations | 2 |
Does not meet standards | 1 |
Timmons, Kristy; Pelletier, Janette – Early Child Development and Care, 2016
In this study, we explored the influence of kindergarten children's perspectives of school on their literacy and self-regulation outcomes. Children's early perspectives were captured in a three-question, finger-puppet interview. Responses to the interview questions were coded thematically as being academic and/or social in nature, and were…
Descriptors: Childhood Attitudes, Kindergarten, Longitudinal Studies, Puppetry
Najafabadi, Maryam Omidi; Zamani, Maryam; Mirdamadi, Mehdi – Journal of Education for Business, 2016
The authors used Ajzen's theory of planned behavior and Shapero's entrepreneurial event model as well as entrepreneurial cognition theory to identify the relationship among entrepreneurial skills, self-efficacy, attitudes toward entrepreneurship, psychological traits, social norms, perceived desirability, social support, and entrepreneurial…
Descriptors: Models, Entrepreneurship, Agricultural Education, Intention
Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
Markon, Kristian E. – Psychological Methods, 2013
Although advances have improved our ability to describe the measurement precision of a test, it often remains challenging to summarize how well a test is performing overall. Reliability, for example, provides an overall summary of measurement precision, but it is sample-specific and might not reflect the potential usefulness of a test if the…
Descriptors: Measures (Individuals), Psychometrics, Statistical Analysis, Bayesian Statistics
Scheibehenne, Benjamin; Rieskamp, Jorg; Wagenmakers, Eric-Jan – Psychological Review, 2013
Many theories of human cognition postulate that people are equipped with a repertoire of strategies to solve the tasks they face. This theoretical framework of a cognitive toolbox provides a plausible account of intra- and interindividual differences in human behavior. Unfortunately, it is often unclear how to rigorously test the toolbox…
Descriptors: Cognitive Processes, Behavior, Models, Bayesian Statistics
Koc, Levent – ProQuest LLC, 2013
With increasing Internet connectivity and traffic volume, recent intrusion incidents have reemphasized the importance of network intrusion detection systems for combating increasingly sophisticated network attacks. Techniques such as pattern recognition and the data mining of network events are often used by intrusion detection systems to classify…
Descriptors: Bayesian Statistics, Computer Security, Computer Networks, Data Collection
Li, Zhepeng – ProQuest LLC, 2013
Link recommendation, which suggests links to connect currently unlinked users, is a key functionality offered by major online social networking platforms. Salient examples of link recommendation include "people you may know"' on Facebook and "who to follow" on Twitter. A social networking platform has two types of stakeholder:…
Descriptors: Social Networks, Hypermedia, Use Studies, Users (Information)
Brown, Dannie L. – Industry and Higher Education, 2015
The purpose of this research was to assess students' expectations of future job satisfaction. Data were collected from 484 students enrolled in the BBA programme at Cape Breton University, Nova Scotia, Canada. Locke's job satisfaction theory and Hackman and Oldham's job characteristics model provided the theoretical foundation for the study.…
Descriptors: Job Satisfaction, Expectation, Cohort Analysis, Cultural Differences
Doroudi, Shayan; Holstein, Kenneth; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2016
How should a wide variety of educational activities be sequenced to maximize student learning? Although some experimental studies have addressed this question, educational data mining methods may be able to evaluate a wider range of possibilities and better handle many simultaneous sequencing constraints. We introduce Sequencing Constraint…
Descriptors: Sequential Learning, Data Collection, Information Retrieval, Evaluation Methods
Gonzalez-Brenes, Jose P.; Mostow, Jack – International Educational Data Mining Society, 2012
This work describes a unified approach to two problems previously addressed separately in Intelligent Tutoring Systems: (i) Cognitive Modeling, which factorizes problem solving steps into the latent set of skills required to perform them; and (ii) Student Modeling, which infers students' learning by observing student performance. The practical…
Descriptors: Intelligent Tutoring Systems, Academic Achievement, Bayesian Statistics, Tutors
Xu, Yanbo; Mostow, Jack – International Educational Data Mining Society, 2012
A long-standing challenge for knowledge tracing is how to update estimates of multiple subskills that underlie a single observable step. We characterize approaches to this problem by how they model knowledge tracing, fit its parameters, predict performance, and update subskill estimates. Previous methods allocated blame or credit among subskills…
Descriptors: Teaching Methods, Comparative Analysis, Prediction, Mathematics
Rindskopf, David; Shadish, William; Hedges, Larry V. – Online Submission, 2012
This conference presentation demonstrates a multilevel model for analyzing single case designs. The model is implemented in the Bayesian program WinBUGS. The authors show how it is possible to estimate a d-statistic like the one in Hedges, Pustejovsky and Shadish (2012) in this program. Results are demonstrated on an example.
Descriptors: Effect Size, Computation, Hierarchical Linear Modeling, Research Design
Huang, David Y. C.; Lanza, H. Isabella; Murphy, Debra A.; Hser, Yih-Ing – International Journal of Behavioral Development, 2012
This study used data from 5,382 adolescents from the 1997 United States (US) National Longitudinal Survey of Youth (NLSY97) to investigate developmental pathways of alcohol use, marijuana use, sexual risk behaviors, and delinquency across ages 14 to 20; examine interrelationships among these risk behaviors across adolescence; and evaluate…
Descriptors: Adolescents, Drinking, Depression (Psychology), Marijuana
White, Corey N.; Brown, Scott; Ratcliff, Roger – Journal of Experimental Psychology: Human Perception and Performance, 2012
Two Bayesian observer models were recently proposed to account for data from the Eriksen flanker task, in which flanking items interfere with processing of a central target. One model assumes that interference stems from a perceptual bias to process nearby items as if they are compatible, and the other assumes that the interference is due to…
Descriptors: Tests, Bayesian Statistics, Cognitive Processes, Task Analysis
Taylor, Eric G.; Ahn, Woo-kyoung – Cognitive Psychology, 2012
Suppose one observes a correlation between two events, B and C, and infers that B causes C. Later one discovers that event A explains away the correlation between B and C. Normatively, one should now dismiss or weaken the belief that B causes C. Nonetheless, participants in the current study who observed a positive contingency between B and C…
Descriptors: Evidence, Prior Learning, Bayesian Statistics, Correlation