Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 30 |
Descriptor
Comparative Analysis | 36 |
Data Analysis | 36 |
Probability | 36 |
Models | 10 |
Correlation | 7 |
Statistical Analysis | 7 |
Evaluation Methods | 6 |
Prediction | 6 |
Regression (Statistics) | 6 |
Scores | 6 |
Student Characteristics | 6 |
More ▼ |
Source
Author
Afdhal, Nezam | 1 |
Anderson, Kaitlin | 1 |
Anderson, Lezley Barker | 1 |
Beck, Joseph E. | 1 |
Brusilovsky, Peter | 1 |
Burchinal, Margaret | 1 |
Campbell, Aimee N. C. | 1 |
Carroll, Stephen J. | 1 |
Chan, Wing H. | 1 |
Cohen, Lisa | 1 |
Dion, G. | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 6 |
Postsecondary Education | 5 |
Elementary Education | 4 |
Grade 8 | 4 |
Grade 4 | 3 |
Middle Schools | 3 |
Intermediate Grades | 2 |
Junior High Schools | 2 |
Two Year Colleges | 2 |
Adult Education | 1 |
Early Childhood Education | 1 |
More ▼ |
Audience
Policymakers | 2 |
Researchers | 1 |
Teachers | 1 |
Location
United Kingdom | 2 |
Asia | 1 |
Australia | 1 |
Brazil | 1 |
California | 1 |
Canada | 1 |
Connecticut | 1 |
Denmark | 1 |
Egypt | 1 |
Estonia | 1 |
Florida | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
National Assessment of… | 2 |
Georgia Criterion Referenced… | 1 |
Program for International… | 1 |
Vineland Adaptive Behavior… | 1 |
Woodcock Johnson Tests of… | 1 |
What Works Clearinghouse Rating
Shen, Huajie; Liu, Teng; Zhang, Yueqin – International Journal of Distance Education Technologies, 2020
This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…
Descriptors: Correlation, Distance Education, Efficiency, Bayesian Statistics
McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
Enhancement of the Command-Line Environment for Use in the Introductory Statistics Course and Beyond
Gerbing, David W. – Journal of Statistics and Data Science Education, 2021
R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Programming Languages
Huang, Francis L. – Journal of Experimental Education, 2018
Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard errors, are comparable with each other. However, the accuracy of the estimates of OLS models is important to consider, as several alternative techniques…
Descriptors: Hierarchical Linear Modeling, Least Squares Statistics, Regression (Statistics), Comparative Analysis
Leahy, Joy; O'Leary, Aisling; Afdhal, Nezam; Gray, Emma; Milligan, Scott; Wehmeyer, Malte H.; Walsh, Cathal – Research Synthesis Methods, 2018
The use of individual patient data (IPD) in network meta-analysis (NMA) is becoming increasingly popular. However, as most studies do not report IPD, most NMAs are performed using aggregate data for at least some, if not all, of the studies. We investigate the benefits of including varying proportions of IPD studies in an NMA. Several models have…
Descriptors: Patients, Medical Research, Meta Analysis, Network Analysis
Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2015
Modeling student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for modeling the acquisition of knowledge is Bayesian Knowledge Tracing (BKT). Various extensions to the original BKT model have been proposed, among them two novel models that unify BKT and Item Response Theory (IRT). Latent Factor Knowledge…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Item Response Theory, Prediction
Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Huang, Yun; González-Brenes, José P.; Kumar, Rohit; Brusilovsky, Peter – International Educational Data Mining Society, 2015
Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…
Descriptors: Guidelines, Models, Prediction, Evaluation Methods
Zamarro, Gema; Anderson, Kaitlin; Steele, Jennifer; Miller, Trey – Society for Research on Educational Effectiveness, 2016
The purpose of this study is to study the performance of different methods (inverse probability weighting and estimation of informative bounds) to control for differential attrition by comparing the results of different methods using two datasets: an original dataset from Portland Public Schools (PPS) subject to high rates of differential…
Descriptors: Data Analysis, Student Attrition, Evaluation Methods, Evaluation Research
National Assessment Governing Board, 2017
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Mathematics Tests, Mathematics Achievement, Mathematics Instruction, Grade 4
Xu, Di; Jaggars, Shanna Smith; Fletcher, Jeffrey – Center for Analysis of Postsecondary Education and Employment, 2016
Using detailed administrative data from Virginia, this paper examines how and why the community college pathway to a baccalaureate influences students' degree attainment and short-term labor market performance. We find that the community college pathway sharply reduces the likelihood of earning a bachelor's degree but does not have a significant…
Descriptors: Two Year Colleges, Two Year College Students, Community Colleges, Bachelors Degrees
Jenkins, Jade Marcus; Farkas, George; Duncan, Greg J.; Burchinal, Margaret; Vandell, Deborah Lowe – Educational Evaluation and Policy Analysis, 2016
As policymakers contemplate expanding preschool opportunities for low-income children, one possibility is to fund 2, rather than 1 year of Head Start for children at ages 3 and 4. Another option is to offer 1 year of Head Start followed by 1 year of pre-K. We ask which of these options is more effective. We use data from the Oklahoma pre-K study…
Descriptors: Kindergarten, Early Childhood Education, Preschool Education, Data Analysis
Loomes, Graham – Psychological Review, 2010
This article develops a parsimonious descriptive model of individual choice and valuation in the kinds of experiments that constitute a substantial part of the literature relating to decision making under risk and uncertainty. It suggests that many of the best known "regularities" observed in those experiments may arise from a tendency for…
Descriptors: Probability, Models, Experiments, Observation
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
Hu, Shouping – Innovative Higher Education, 2011
Using data from two rounds of surveys on students in the Washington State Achievers (WSA) program, this study examined the relationship between student engagement in college activities and student persistence in college. Different approaches using student engagement measures in the persistence models were compared. The results indicated that the…
Descriptors: Educational Research, Persistence, Academic Achievement, Probability