Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 15 |
Since 2006 (last 20 years) | 36 |
Descriptor
College Students | 41 |
Probability | 41 |
Statistics | 41 |
Mathematics Instruction | 11 |
Statistical Analysis | 11 |
Teaching Methods | 11 |
Foreign Countries | 9 |
Introductory Courses | 9 |
Student Attitudes | 9 |
Mathematical Concepts | 8 |
Academic Achievement | 7 |
More ▼ |
Source
Author
Froelich, Amy G. | 2 |
Papaieronymou, Irini | 2 |
Reaburn, Robyn | 2 |
Adair, Desmond | 1 |
Alda, Erik | 1 |
Andrade, Luisa | 1 |
Belitsky, Jason M. | 1 |
Beswick, Kim, Ed. | 1 |
Block, Robert M. | 1 |
Bol, Linda | 1 |
Brodfuehrer, Peter | 1 |
More ▼ |
Publication Type
Education Level
Higher Education | 34 |
Postsecondary Education | 25 |
High Schools | 2 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Secondary Education | 1 |
Audience
Practitioners | 1 |
Researchers | 1 |
Students | 1 |
Teachers | 1 |
Location
Australia | 3 |
Cyprus | 2 |
Pennsylvania | 2 |
Brazil | 1 |
California | 1 |
Estonia | 1 |
Germany | 1 |
Kentucky | 1 |
Louisiana | 1 |
Maine | 1 |
Mexico | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Rzeszutko, Ryan; James, Dwayne T.; Petrie, Jennifer – ProQuest LLC, 2023
The typical collegiate introductory statistics course poses significant challenges for students. Many do not fully comprehend key course skills, and it is common for students to exit the class with a neutral or negative attitude toward statistics. To measure the impact of using relevant contextual examples as an instructional strategy during a…
Descriptors: Introductory Courses, Statistics, College Mathematics, College Students
Fernández-Chamorro, Vanessa; Pamplona, Sonia; Pérez-Fructuoso, María José – Journal of Computing in Higher Education, 2020
This study analyzes the relationship between the entry path to a degree and the prior statistical competence of students taking a Statistics and Probability course at an online university. We assessed students' prior knowledge by administering a pretest of the information covered in the course analyzed. The sample includes 108 students from…
Descriptors: Prior Learning, Statistics, Virtual Universities, College Students
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2019
Random sampling and random allocation are essential processes in the practice of inferential statistics. These processes ensure that all members of a population are equally likely to be selected, and that all possible allocations in an experiment are equally likely. It is these characteristics that allow the validity of the subsequent calculations…
Descriptors: Statistics, Comprehension, Introductory Courses, College Students
Liebscher, Eckhard; Michael, Ben – International Electronic Journal of Mathematics Education, 2019
In the paper a software solution is presented for the generation of instances of exercises. The focus is on education in mathematics but the approach can be adopted in other fields such as computer science and natural science. The present solution uses the R environment for the generation process and LaTeX for the content presentation. In the…
Descriptors: Mathematics Instruction, Electronic Learning, Integrated Learning Systems, Probability
de Oliveira Júnior, Ailton Paulo; Zamora, Pedro Rosental; de Oliveira, Lucas Azevedo; de Souza, Thiago Costa – Acta Didactica Napocensia, 2018
A simple analysis of the learners' academic status at different levels of education shows that these learners have poor performance in probability and statistics subject and they have negative attitude to this subject. Therefore, the aim of this study is to investigate the relationship between the attitude and academic achievement of 134 students…
Descriptors: Student Attitudes, Probability, Statistics, Academic Achievement
Tsubaki, Michiko; Ogawara, Wataru; Tanaka, Kenta – International Electronic Journal of Mathematics Education, 2020
This study proposes and examines an analytical method with the aim of improving the quality of education and learning by situating the answers to full descriptive questions in probability and statistics to make variables of learners' comprehension of learned content as answer characteristics, based on actual student mistakes. First, we proposed…
Descriptors: Probability, Statistics, Comprehension, Learning Strategies
Adair, Desmond; Jaeger, Martin; Price, Owen M. – International Journal of Higher Education, 2018
The use of a portfolio curriculum approach, when teaching a university introductory statistics and probability course to engineering students, is developed and evaluated. The portfolio curriculum approach, so called, as the students need to keep extensive records both as hard copies and digitally of reading materials, interactions with faculty,…
Descriptors: Active Learning, Introductory Courses, Statistics, Probability
Butcher, Greg Q.; Rodriguez, Juan; Chirhart, Scott; Messina, Troy C. – Bioscene: Journal of College Biology Teaching, 2016
In order to increase students' awareness for and comfort with mathematical modeling of biological processes, and increase their understanding of diffusion, the following lab was developed for use in 100-level, majors/non-majors biology and neuroscience courses. The activity begins with generation of a data set that uses coin-flips to replicate…
Descriptors: Biology, Comparative Analysis, Simulation, Questionnaires
Stanhope, Liz; Ziegler, Laura; Haque, Tabassum; Le, Laura; Vinces, Marcelo; Davis, Gregory K.; Zieffler, Andrew; Brodfuehrer, Peter; Preest, Marion; Belitsky, Jason M.; Umbanhowar, Charles, Jr.; Overvoorde, Paul J. – CBE - Life Sciences Education, 2017
Multiple reports highlight the increasingly quantitative nature of biological research and the need to innovate means to ensure that students acquire quantitative skills. We present a tool to support such innovation. The Biological Science Quantitative Reasoning Exam (BioSQuaRE) is an assessment instrument designed to measure the quantitative…
Descriptors: Test Construction, Science Tests, Biology, Undergraduate Students
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
Grijalva, Therese; Koford, Brandon C.; Parkhurst, Gregory – College Student Journal, 2018
Using data from 499 students over 12 sections, 2 courses, and 3 instructors, we estimate the effect of loss aversion on the probability of turning in extra credit assignments and the effect on the overall grade. Regression results indicate no effect of loss aversion on the probability of turning in extra credit assignments and no effect on a…
Descriptors: Grades (Scholastic), Probability, Student Motivation, Assignments
Inzunsa Cazares, Santiago – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
This article presents the results of a qualitative research with a group of 15 university students of social sciences on informal inferential reasoning developed in a computer environment on concepts involved in the confidence intervals. The results indicate that students developed a correct reasoning about sampling variability and visualized…
Descriptors: Qualitative Research, College Students, Inferences, Logical Thinking
Andrade, Luisa; Fernández, Felipe – Universal Journal of Educational Research, 2016
As literature has reported, it is usual that university students in statistics courses, and even statistics teachers, interpret the confidence level associated with a confidence interval as the probability that the parameter value will be between the lower and upper interval limits. To confront this misconception, class activities have been…
Descriptors: Conflict, College Students, Statistics, Probability
Escalera-Chávez, Milka Elena; García-Santillán, Arturo; Venegas-Martínez, Francisco – EURASIA Journal of Mathematics, Science & Technology Education, 2014
In this study, we examined whether the constructs of usefulness, motivation, likeness, confidence, and anxiety influence the student's attitude towards statistics. Two hundred ninety eight students enrolled in the private university were surveyed by using the questionnaire proposed by Auzmendi (1992). Data analysis was done by structural…
Descriptors: Student Attitudes, Statistics, College Students, Questionnaires
Palmer, Jane E.; Alda, Erik – Review of Higher Education, 2016
Sexual assault on college campuses is persistently underreported; therefore, Clery Act sexual assault statistics are not strong indicators of incidence. Instead, they may indicate whether students feel comfortable reporting on a particular campus. The purpose of this study was to examine the impact of the Office on Violence Against Women Campus…
Descriptors: Rape, Sexual Abuse, College Students, Violence