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Siggard, Reagan; Dupin-Bryant, Pamela A.; Mills, Robert J.; Olsen, David H. – Journal of Information Systems Education, 2022
The SQL-Explore Learning Module detailed in this teaching tip provides an opportunity for students to apply database course knowledge beyond solving traditional pre-determined Structured Query Language (SQL) coding questions. In this unique constructivist activity using the apropos 5E Instructional Model, students explore tables to locate data…
Descriptors: Programming Languages, Databases, Coding, Tables (Data)
Mogaladi, Tshegofatso; Mlambo, Motlatso – Journal of Student Affairs in Africa, 2022
Public higher education institutions in South Africa conduct Student Representative Council (SRC) elections yearly. However, there is a paucity of studies to determine factors that affect voter turnout in these elections. This descriptive quantitative study conducted an empirical analysis of factors influencing students' voter participation at…
Descriptors: Voting, College Students, Distance Education, Student Government
Miyazaki, Yasuo; Kamata, Akihito; Uekawa, Kazuaki; Sun, Yizhi – Educational and Psychological Measurement, 2022
This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested…
Descriptors: Error of Measurement, Pretesting, Pretests Posttests, Statistical Bias
Beauducel, André; Hilger, Norbert – Educational and Psychological Measurement, 2022
In the context of Bayesian factor analysis, it is possible to compute plausible values, which might be used as covariates or predictors or to provide individual scores for the Bayesian latent variables. Previous simulation studies ascertained the validity of mean plausible values by the mean squared difference of the mean plausible values and the…
Descriptors: Bayesian Statistics, Factor Analysis, Prediction, Simulation
Ning, Li-Hsin – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Our audio--vocal system involves a negative feedback system that functions to correct for fundamental frequency (f[subscript 0]) errors in production. Therefore, automatic and opposing responses appear when an unexpected change in voice pitch is present in auditory feedback. This study explores following responses to pitch perturbation in…
Descriptors: Auditory Perception, Feedback (Response), Intonation, Foreign Countries
Dahlstrom-Hakki, Ibrahim; Wallace, Michelle L. – Journal of Statistics and Data Science Education, 2022
There have been significant developments in the field of statistics education over the past decade that have improved outcomes for all students. However, there remains relatively little research on the best practices for teaching statistics to students with disabilities. This article describes a conceptual visual approach to teaching a college…
Descriptors: Autism Spectrum Disorders, Attention Deficit Hyperactivity Disorder, Learning Disabilities, Statistics Education
Rosenberg, Joshua M.; Kubsch, Marcus; Wagenmakers, Eric-Jan; Dogucu, Mine – Science & Education, 2022
Uncertainty is ubiquitous in science, but scientific knowledge is often represented to the public and in educational contexts as certain and immutable. This contrast can foster distrust when scientific knowledge develops in a way that people perceive as a reversals, as we have observed during the ongoing COVID-19 pandemic. Drawing on research in…
Descriptors: Science Process Skills, Bayesian Statistics, Ambiguity (Context), Epistemology
Malait, Ulysis; Himang, Celbert M.; Ocampo, Lanndon; Selerio, Egberto Filosopo, Jr.; Luzano, Ella; Caballero, John Henry; Bergamo, Remegio; Manalastas, Rebecca – International Journal of Virtual and Personal Learning Environments, 2022
As a foundational approach in inferential statistics, hypothesis testing (HT) is considered as one of the most challenging topics for teaching and learning. A promising approach is through the consideration of students' learning modalities, as demonstrated in vast applications; however, contentions that surround the use of learning modality in…
Descriptors: Hypothesis Testing, Teaching Methods, Statistics Education, Statistical Inference
Gooding, Constance L.; Lyford, Alex; Giaimo, Genie N. – Teaching Statistics: An International Journal for Teachers, 2022
Instructors at postsecondary institutions have designed a myriad of data science classes to keep up with the rise of big data. Businesses and companies have become increasingly interested in hiring people with strong data acquisition, management, and communication skills. Since data science as a field of study is relatively new, though it has deep…
Descriptors: Statistics Education, Undergraduate Students, Course Descriptions, Writing Instruction
Hellerstedt, Robin; Talmi, Deborah – Learning & Memory, 2022
Reward is thought to attenuate forgetting through the automatic effect of dopamine on hippocampal memory traces. Here we report a conceptual replication of previous results where we did not observe this effect of reward. Participants encoded eight lists of pictures and recalled picture content immediately or the next day. They were informed that…
Descriptors: Rewards, Recall (Psychology), Brain Hemisphere Functions, Memory
Reinhart, Alex; Evans, Ciaran; Luby, Amanda; Orellana, Josue; Meyer, Mikaela; Wieczorek, Jerzy; Elliott, Peter; Burckhardt, Philipp; Nugent, Rebecca – Journal of Statistics and Data Science Education, 2022
Think-aloud interviews have been a valuable but underused tool in statistics education research. Think-alouds, in which students narrate their reasoning in real time while solving problems, differ in important ways from other types of cognitive interviews and related education research methods. Beyond the uses already found in the statistics…
Descriptors: Protocol Analysis, Statistics Education, Mathematical Logic, Thinking Skills
Hur, Paul; Lee, HaeJin; Bhat, Suma; Bosch, Nigel – International Educational Data Mining Society, 2022
Machine learning is a powerful method for predicting the outcomes of interactions with educational software, such as the grade a student is likely to receive. However, a predicted outcome alone provides little insight regarding how a student's experience should be personalized based on that outcome. In this paper, we explore a generalizable…
Descriptors: Artificial Intelligence, Individualized Instruction, College Mathematics, Statistics
Pell Grants and Labor Supply: Evidence from a Regression Kink. Upjohn Institute Working Paper 22-363
Kofoed, Michael S. – W. E. Upjohn Institute for Employment Research, 2022
A concern in higher education policy is that students are taking longer to graduate. One possible reason for this observation is an increase in off-campus labor market participation among college students. Financial aid may play a role in the labor/study choice of college students--as college becomes more affordable, students my substitute away…
Descriptors: Federal Aid, Grants, Labor Supply, Student Financial Aid
Robinson, Christopher, Ed. – South Carolina Commission on Higher Education, 2022
The "South Carolina Higher Education Statistical Abstract" is a comprehensive, single-source compilation of tables and graphs which report data frequently requested by the governor, legislators, college and university staff, other state government officials, and the general public. The 2022 edition of the "Statistical Abstract"…
Descriptors: Higher Education, School Statistics, Data, Enrollment Rate
Murat Altun; Gül Kaleli Yilmaz; Baris Demir; Hülya Sertçelik – Online Submission, 2022
Graduate students are faced with some difficulties in determining statistical methods to be used in their assignments and researches and this leads to anxiety in them. In this study, it was aimed to examine the relationships between statistical anxiety and metacognitive awareness levels of graduate students studying in the field of mathematics…
Descriptors: Graduate Students, Mathematics Anxiety, Statistics Education, Metacognition

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