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Demir, Ibrahim; Sener, Ersin; Karaboga, Hasan Aykut; Basal, Ahmet – Participatory Educational Research, 2023
Classroom rules are a fundamental aspect of classroom management and ensuring compliance with established rules is crucial. Previous research has shown that students often pay little attention to the development of classroom rules. This quantitative study aims to investigate the expectations that students have concerning classroom rules. To this…
Descriptors: Classroom Techniques, Bayesian Statistics, Compliance (Psychology), Secondary School Students
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Elhajjar, Samer; Borna, Shaheen – Marketing Education Review, 2023
This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…
Descriptors: Marketing, Teaching Methods, Competition, Statistics Education
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Zhao, Bo – Education Economics, 2023
This paper is the first to estimate the cost function of Connecticut public K-12 education and to evaluate the state's school spending based on regression-estimated education costs. It finds large disparities across districts in education costs and cost-adjusted spending. A large percentage of the state's public school students are enrolled in…
Descriptors: Costs, Public Schools, Elementary Secondary Education, Equal Education
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Dvir, Michal; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2023
Growing scholarship on the pedagogical applications of statistical modeling is currently taking place to create adaptations of this practice to introduce novices to statistics. These are intended to promote novices' reasoning, and are typically void of formal mathematical procedures and calculations. In this article, we define the potential…
Descriptors: Teaching Methods, Statistics Education, Novices, Correlation
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Lori Viali; Magnus Cesar Ody; Clarissa Coragem Ballejo; Elisabete Rambo Braga – Statistics Education Research Journal, 2023
In this article, we first analyze the situation of statistics education in Brazil, within an international context of interest for this discipline. Secondly, we aim to answer the following research question: How has doctoral research in statistics, probability, and combinatorics education evolved in Brazil? For this purpose, we analyzed the…
Descriptors: Statistics Education, Probability, Teaching Methods, Doctoral Students
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Knox, Peter N. – Rural Educator, 2023
Past decades have seen an increase in focus on college and career readiness (CCR) policy and programming to meet the growing demand for a high-skill, global, 21st-century workforce. Recent research indicates many adolescents aspire to succeed in various postsecondary paths, but a persistent gap between aspirations and attainment remains. This is…
Descriptors: Student Motivation, College Readiness, Career Readiness, Rural Areas
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Mandy Yan Dang; Yulei Gavin Zhang; M. David Albritton – International Journal of Information and Communication Technology Education, 2023
Advancements in internet technology have fundamentally changed how companies conduct their business activities, leading us into a business analytics (BA) era. In this article, the authors aim to investigate factors that could shape students' career choice considerations toward BA jobs after they have been exposed to BA course content in an…
Descriptors: Statistics Education, Business Administration Education, Outcomes of Education, Student Interests
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Rolando B. Magat – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study examined how the developed mobile courseware can be used as instructional material to improve senior high school statistics and probability learning, particularly during distance learning caused by the COVID-19 pandemic. The study also aims to assess the gamified mobile courseware's engagement, functionality, aesthetics, and…
Descriptors: Gamification, Statistics Education, Probability, Electronic Learning
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Selcuk Acar; Lindsay E. Lee; Jaret Hodges – Creativity Research Journal, 2023
Numerous primary studies and a recent meta-analytic confirmatory factor analysis (Meta-CFA; Said-Metwaly, Fernández-Castilla, Kyndt, & Van den Noortgate, 2018) have shown that Torrance Tests of Creative Thinking -- Figural (TTCT-F) consists of two factors. However, recent research has raised questions regarding factor analysis of the TTCT-F…
Descriptors: Creativity, Creative Thinking, Creativity Tests, Factor Structure
Peter Organisciak; Selcuk Acar; Denis Dumas; Kelly Berthiaume – Grantee Submission, 2023
Automated scoring for divergent thinking (DT) seeks to overcome a key obstacle to creativity measurement: the effort, cost, and reliability of scoring open-ended tests. For a common test of DT, the Alternate Uses Task (AUT), the primary automated approach casts the problem as a semantic distance between a prompt and the resulting idea in a text…
Descriptors: Automation, Computer Assisted Testing, Scoring, Creative Thinking
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Gemma F. Mojica; Emily Thrasher; Adrian Kuhlman; Bruce Graham; Hollylynne S. Lee; Michelle Pace – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In this study, 82 middle and high school teachers engaged with the InSTEP online professional learning platform to develop their expertise in teaching data science and statistics. We investigated teachers' engagement within the platform, aspects of the platform that were most and least effective in building teachers' expertise, and the extent to…
Descriptors: Middle School Teachers, High School Teachers, Faculty Development, Data Science
Stephanie McDonald; Megan P. Barnard – Psychology Teaching Review, 2023
Statistics is a core subject in the psychology undergraduate curriculum and is often associated with increased anxiety among learners. The aim of this study was to identify factors relating to statistics anxiety, and specifically, how prior experiences in mathematics and A-Level science qualifications may influence students' perceptions as they…
Descriptors: Undergraduate Students, Psychology, Prior Learning, Mathematics
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Tanti Listiani – International Society for Technology, Education, and Science, 2023
Learning loss due to online learning has caused students to experience a decrease in their ability to solve mathematical problems. One of the declines in students' mathematical problem-solving skills occurred in the statistics course. Statistics as a branch of mathematics has an important role in training students' skills in processing and…
Descriptors: Mathematics Instruction, Problem Solving, Statistics Education, Comparative Analysis
Clark, D. Angus; Nuttall, Amy K.; Bowles, Ryan P. – Grantee Submission, 2018
Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study…
Descriptors: Robustness (Statistics), Statistical Analysis, Longitudinal Studies, Statistical Bias
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Jennifer J. Kaplan; Neal Rogness – Numeracy, 2018
Instructional inattention to language poses a barrier for students in entry-level science courses, in part because students may perceive a subject as difficult solely based on the lack of understanding of the vocabulary. In addition, the technical use of terms that have different everyday meanings may cause students to misinterpret statements made…
Descriptors: Statistics, Numeracy, Ambiguity (Semantics), Vocabulary
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