NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,921 to 1,935 of 31,603 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Justice, Nicola; Morris, Samantha; Henry, Veronique; Fry, Elizabeth Brondos – Statistics Education Research Journal, 2020
Statistics students' conceptions of the work of statisticians and the discipline of statistics may play an important role in the topics to which they attend and their interest in pursuing further study. To learn about students' conceptions, we collected open-ended survey responses from 44 undergraduate students who had completed introductory…
Descriptors: Student Attitudes, Statistics, Undergraduate Students, Introductory Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Farmus, Linda; Cribbie, Robert A.; Rotondi, Michael A. – Journal of Statistics Education, 2020
The flipped classroom (FC) inverts the traditional classroom by having students participate in passive aspects of learning at home and active aspects of learning in class with the guide of an instructor. The introductory statistics course for nonmath majors may be especially suited to the FC model given its unique challenges as a required course…
Descriptors: Flipped Classroom, Introductory Courses, Literature Reviews, Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Warstat, Selina; Proemmel, Andreas – Teaching Statistics: An International Journal for Teachers, 2020
Scientific statistical working in a team is a special challenge for students in high schools, especially with a civic statistical problem. Ideally, they are following the PPDAC cycle: they formulate a problem together, plan an investigation, collect the data, use software to analyze the data, and formulate results in a seminar paper. This article…
Descriptors: High School Students, Civics, Statistics, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Gomes, Cristiano Mauro Assis; Jelihovschi, Enio – International Journal of Research & Method in Education, 2020
Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…
Descriptors: Regression (Statistics), Statistical Analysis, Educational Research, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Arican, Muhammet; Kuzu, Okan – International Journal of Science and Mathematics Education, 2020
This study investigates preservice middle school mathematics teachers' understanding of statistics and probability and provides a cognitive diagnostic assessment of their strengths and weaknesses on these subjects. A statistical reasoning test that included 15 multiple-choice and 5 open-ended items was developed from the perspective of the…
Descriptors: Preservice Teachers, Statistics, Probability, Cognitive Tests
Ross, Stephen L.; Brunner, Eric; Rosen, Rachel – Grantee Submission, 2020
This paper considers recent efforts to conduct experimental and quasi-experimental evaluations of career and technical education programs. It focuses on understanding the counterfactual, or control population, for these program evaluations, discussing how the educational experiences of the control population might vary from those of the treated…
Descriptors: Vocational Education, Program Evaluation, Educational Experience, Regression (Statistics)
Taylor Ray Harrison – ProQuest LLC, 2020
An increasing number of high school students are enrolling in statistics courses. Hence, an increasing number of teachers are needed to plan and implement these courses. Yet, many teachers report feeling unprepared to teach statistics. When planning and implementing these courses, teachers draw upon their knowledge and beliefs when making…
Descriptors: High School Teachers, Mathematics Teachers, Statistics Education, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
What Works Clearinghouse, 2020
This supplement concerns Appendix E of the "What Works Clearinghouse (WWC) Procedures Handbook, Version 4.1." The supplement extends the range of designs and analyses that can generate effect size and standard error estimates for the WWC. This supplement presents several new standard error formulas for cluster-level assignment studies,…
Descriptors: Educational Research, Evaluation Methods, Effect Size, Research Design
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kelly Rhea MacArthur – Numeracy, 2020
The importance of quantitative literacy for creating and maintaining a democratic and just society is unequivocal, but undergraduate students often do not acquire these important skills. One barrier to teaching quantitative literacy skills is students' anxiety. The empirical evidence of the extent of the problem, however, does not seem to match…
Descriptors: Undergraduate Students, Numeracy, Mathematics Anxiety, Statistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Marianno, Bradley D.; Hemphill, Annie A.; Loures-Elias, Ana Paula S.; Garcia, Libna; Cooper, Deanna; Coombes, Emily – AERA Open, 2022
Drawing on Bachrach and Baratz's first and second faces of interest group power, we explore the relationship between teachers' union power and reopening decisions during the fall 2020 semester in 250 large districts around the United States. We leverage a self-collected panel data set of reopening decisions coupled with measures of teachers' union…
Descriptors: COVID-19, Pandemics, Unions, School Closing
Peer reviewed Peer reviewed
Direct linkDirect link
Vilhuber, Lars; Son, Hyuk Harry; Welch, Meredith; Wasser, David N.; Darisse, Michael – Journal of Statistics and Data Science Education, 2022
We describe a unique environment in which undergraduate students from various STEM and social science disciplines are trained in data provenance and reproducible methods, and then apply that knowledge to real, conditionally accepted manuscripts and associated replication packages. We describe in detail the recruitment, training, and regular…
Descriptors: Statistics Education, Data Science, STEM Education, Social Sciences
Peer reviewed Peer reviewed
Direct linkDirect link
Varty, Alison K. – CBE - Life Sciences Education, 2022
Community colleges have an opportunity to promote achievement of more science, technology, engineering, and mathematics (STEM) students and meet larger goals of scientific advancement and educational equity. Understanding community college students' needs and backgrounds is key to increasing students' success in STEM fields and realizing this…
Descriptors: Two Year College Students, Community Colleges, Academic Achievement, STEM Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Østergaard, Camilla Hellsten – European Journal of Science and Mathematics Education, 2022
We present a detailed analysis of two statistics lessons in lower secondary school, one in Denmark and the other in Japan. The aim of the study is to better understand how inquiry perspectives are implemented in statistics education and what cultural factors shape them. In particular, we draw on the theoretical framework of the Anthropological…
Descriptors: Inquiry, Statistics Education, Secondary School Students, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Athanasou, James A. – Australian Journal of Career Development, 2022
The purpose of this study was to analyse 593 articles from 1120 authors published in the "Australian Journal of Career Development" between 1992 and 2001. The analysis focused on authorship, type of article, setting/participants and career development theory across three decades as well as across the first five editors during that…
Descriptors: Foreign Countries, Periodicals, Journal Articles, Career Development
Peer reviewed Peer reviewed
Direct linkDirect link
Yukhymenko-Lescroart, Mariya A.; Goldman, Susan R.; Lawless, Kimberly A.; Pellegrino, James W.; Shanahan, Cynthia R. – Educational Psychology, 2022
To extend the existing research examining multiple text comprehension and its assessment, we developed a verification task approach to assessing of information that was "explicitly" and "implicitly" presented "within" and across nine texts. A nonparametric form of signal detection theory was used to analyse the…
Descriptors: Task Analysis, Reading Comprehension, Middle School Students, Nonparametric Statistics
Pages: 1  |  ...  |  125  |  126  |  127  |  128  |  129  |  130  |  131  |  132  |  133  |  ...  |  2107