Publication Date
| In 2026 | 2 |
| Since 2025 | 263 |
| Since 2022 (last 5 years) | 1735 |
| Since 2017 (last 10 years) | 6605 |
| Since 2007 (last 20 years) | 20291 |
Descriptor
Source
Author
| Sinharay, Sandip | 50 |
| Reese, Clyde M. | 49 |
| Ballator, Nada | 48 |
| Jerry, Laura | 48 |
| Hussar, William J. | 36 |
| Mislevy, Robert J. | 36 |
| Snyder, Thomas D. | 36 |
| Algina, James | 34 |
| Lee, Sik-Yum | 31 |
| Yuan, Ke-Hai | 31 |
| van der Linden, Wim J. | 31 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 977 |
| Teachers | 708 |
| Researchers | 577 |
| Policymakers | 447 |
| Administrators | 223 |
| Media Staff | 92 |
| Students | 90 |
| Community | 42 |
| Parents | 23 |
| Counselors | 17 |
| Support Staff | 3 |
| More ▼ | |
Location
| Australia | 686 |
| United States | 579 |
| Canada | 552 |
| Turkey | 545 |
| California | 535 |
| Texas | 388 |
| Germany | 353 |
| New York | 350 |
| United Kingdom | 347 |
| Netherlands | 300 |
| China | 299 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 17 |
| Meets WWC Standards with or without Reservations | 35 |
| Does not meet standards | 38 |
Teresa M. Ober; Alex S. Brodersen; Daniella Rebouças-Ju; Maxwell R. Hong; Matthew F. Carter; Cheng Liu; Ying Cheng – Journal for STEM Education Research, 2022
Understanding the extent engagement and math attitudes predict performance in statistics courses could inform educational interventions in this subject area, which has growing demand. We examined direct and indirect associations between course engagement-related constructs, math attitudes, and learning outcomes. Confirmatory factor analysis was…
Descriptors: High School Students, Student Attitudes, Mathematics, Statistics Education
Danri H. Delport – Numeracy, 2022
A strong foundation in early number concepts is crucial for students' future success in statistics. Despite its importance in statistics, many first-year students struggle to comprehend the normal distribution due to a lack of basic number sense. Students get confused about the order and magnitude of negative z-scores on a standard normal curve or…
Descriptors: Foreign Countries, College Students, Statistics Education, Number Concepts
Mamta Saxena – Family Science Review, 2022
Despite the importance of scholarship in Human Development and Family Sciences, many students and professors are unenthusiastic about Research Methods and Statistics courses. This article will first, identify issues that deter optimal teaching and learning in the research methods courses and then engage in a reflective discussion of effective…
Descriptors: Undergraduate Students, Individual Development, Family and Consumer Sciences, Family Life Education
What Works Clearinghouse, 2022
Education decisionmakers need access to the best evidence about the effectiveness of education interventions, including practices, products, programs, and policies. It can be difficult, time consuming, and costly to access and draw conclusions from relevant studies about the effectiveness of interventions. The What Works Clearinghouse (WWC)…
Descriptors: Program Evaluation, Program Effectiveness, Standards, Educational Research
Grant Clayton; Phillip Morris; Joseph Taylor; Dick Carpenter – Sage Research Methods Cases, 2022
This case study introduces the use of the National Center for Education Statistics (NCES) publicly available data for linear regression. Our case uses an example of exploring the relationship between Advanced Placement (AP) course-taking, while in high school, on student science, technology, engineering, and mathematics grades upon enrolment to…
Descriptors: Online Searching, Research, Data Use, Regression (Statistics)
Thomas De Vittori; Gaëlle Louaked; Marie-Pierre Visentin – European Journal of Science and Mathematics Education, 2024
The aim of this pilot study is to evaluate the relevance of the use of history in mathematics education. This paper presents an experiment carried out in France with sixth-grade students (n=108) in which an ancient number system is used, an approach that is commonly suggested in French sixth-grade textbooks but has previously been unassessed.…
Descriptors: History Instruction, Mathematics Instruction, Mathematics Education, Learning Activities
Hiroto Namihira – IGI Global, 2024
Academic scholars face a difficult challenge when attempting to grasp the intricate world of mathematics. The complexity of mathematical concepts often lies hidden beneath layers of formulas and procedures, obscuring their true essence. Traditional educational resources often fall short in conveying the profound meaning behind these concepts,…
Descriptors: Information Technology, Visual Aids, Mathematics Education, Technology Uses in Education
Almaz Mesghina; Guanglei Hong; Adelle Durrell – Journal of Statistics and Data Science Education, 2024
Past research has shown the benefit of cooperative learning in organizing instruction to promote students' engagement and achievement. However, it remains unclear whether students gain more from peers at relatively higher or similar levels of prior knowledge. Relatedly, it is important to distinguish collective performance from individual…
Descriptors: Cooperative Learning, Introductory Courses, Statistics Education, College Mathematics
Cynthia A. Gallardo – School Leadership Review, 2024
Dual Enrollment (DE) or Dual Credit (DC) programs have become increasingly prevalent at both the high school and college settings. These programs enable students to earn both high school and college credit and get a head start on their college education. Additionally, students in these programs must take university core curriculum courses to…
Descriptors: Introductory Courses, Biology, Dual Enrollment, High Schools
Ishita Kapoor; Jennifer Roters; Timothy I. Murphy; Caroline Drolet – Journal of Educators Online, 2024
Owing to an exponential increase in the number of courses offered online, it is crucial to understand this mode of delivery on a deeper level. In this study, associations among course performance, the use of online resources (i.e., online homework assistance, practice questions and practice tests), mode of delivery (online versus in-person), and…
Descriptors: Academic Achievement, Instructional Materials, Electronic Learning, Instructional Effectiveness
Andrew Kent Shealy Jr. – ProQuest LLC, 2024
The increasing prevalence of data emphasizes the importance of statistical literacy. Educational systems are charged with developing students who are statistically literate before entering higher education or the workforce. Adequate teaching and learning of statistics in K-12 education faces challenges, due to limited statistical content knowledge…
Descriptors: Preservice Teacher Education, Preservice Teachers, Mathematics Education, Mathematics Teachers
Loux, Travis; Gibson, Andrew K. – Teaching Statistics: An International Journal for Teachers, 2019
Although the use of real-world data sets is encouraged when teaching statistics, it can be difficult for instructors to find meaningful data for introducing students to univariate descriptive statistics such as the mean, median, and percentiles. The recent lead contamination of the water supply in Flint, Michigan, provides a real-life data set…
Descriptors: Introductory Courses, Statistics, Mathematics Instruction, Data
Barrenechea, Rodrigo; Mahoney, James – Sociological Methods & Research, 2019
This article develops a set-theoretic approach to Bayes's theorem and Bayesian process tracing. In the approach, hypothesis testing is the procedure whereby one updates beliefs by narrowing the range of states of the world that are regarded as possible, thus diminishing the domain in which the actual world can reside. By explicitly connecting…
Descriptors: Bayesian Statistics, Hypothesis Testing, Qualitative Research, Research Methodology
How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…
Descriptors: Artificial Intelligence, Bayesian Statistics, Models, Data Use
Van Appel, Vaughan; Durandt, Rina – Perspectives in Education, 2019
This article reports on the results of an investigation of the predictive accuracy of five different mathematical models to identify at-risk students in a Business Statistics course. Low levels of students' success, especially in mathematics-related subjects such as statistics, are a salient problem in South Africa and other countries. Statistical…
Descriptors: Foreign Countries, Mathematical Models, Prediction, At Risk Students

Peer reviewed
Direct link
