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da Silva, Henrique Alvarenga; Moura, Alexandre Sampaio – Journal of Statistics Education, 2020
Biostatistics is a critical skill to physicians in an evidence-based medicine era, but teaching basic statistical concepts is challenging. Students often experience anxiety caused by the complexity of statistics and might express negative attitudes toward the subject. We aimed to analyze the effect of an introductory biostatistics course using…
Descriptors: Introductory Courses, Medical Schools, Gender Differences, Statistics
Bateiha, Summer; Marchionda, Hope; Autin, Melanie – Journal of Statistics Education, 2020
Many students who enroll in introductory statistics courses do not have positive attitudes about the subject. A 2012 wide-ranging study by Schau and Emmioglu showed that student attitudes do not tend to improve after completing an introductory statistics course. However, there is a need for more studies about attitudes in introductory statistics…
Descriptors: Teaching Styles, Introductory Courses, College Mathematics, Statistics
Lee, Jason C.; Ciarimboli, Erin B.; Rubin, Paul G.; González Canché, Manuel S. – Journal of Higher Education, 2020
Much of the student loan literature focuses on institutional, individual, and family-level characteristics associated with indebtedness, default, and other undesirable post-graduation outcomes; however, relatively little research examines the role that federal policy has played in student borrowing. This study addresses this gap by analyzing the…
Descriptors: Student Financial Aid, Family Characteristics, Student Characteristics, Outcomes of Education
Sideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2020
Peter Dunn and Margaret Marshman present the second of their data files articles in which they discuss the statistical investigation cycle which describes the whole process of conducting a statistical research study. [For "The Data Files: A Series of Articles to Support Mathematics Teachers to Teach Statistics," see EJ1259108.]
Descriptors: Statistics, Data Analysis, Teaching Methods, Problem Solving
Nielsen, Tine – Cogent Education, 2020
Academic self-efficacy is mostly construed as specific; task-specific, course-specific or domain-specific. Previous research in the Danish university context has shown that the self-efficacy subscale in the Motivated Strategies for Leaning Questionnaire is not a single scale, but consists of two separate course- and activity-specific scales; the…
Descriptors: Academic Achievement, Self Efficacy, Test Wiseness, Construct Validity
Warren, Aaron R. – Physical Review Physics Education Research, 2020
The evaluation of hypotheses, and the ability to learn from critical reflection on experimental and theoretical tests of those hypotheses, is central to an authentic practice of physics. A large part of physics education therefore seeks to help students understand the significance of this kind of reflective practice and to develop the strategies…
Descriptors: Epistemology, Bayesian Statistics, Physics, Science Instruction
Lee, Hollylynne S.; Mojica, Gemma F.; Lovett, Jennifer N. – Online Learning, 2020
With online learning becoming a more viable option for teachers to develop their expertise, our report shares one such effort focused on improving the teaching of statistics. We share design principles and learning opportunities in an online course developed specifically to serve as a widescale online professional development opportunity for…
Descriptors: Professional Development, Beliefs, Statistics, Mathematics Instruction
Lawton, Sydney; Taylor, Laura – Journal of Statistics Education, 2020
This article presents the results of a case study from one professor's experience teaching an introductory statistics course. The goal of this study was to better understand student perceptions of engagement in a statistics course. Voluntary, self-reported data were collected daily for students to evaluate the engagement level of the class that…
Descriptors: Case Studies, College Faculty, Teacher Attitudes, Teaching Experience
Kemper, Lorenz; Vorhoff, Gerrit; Wigger, Berthold U. – European Journal of Higher Education, 2020
We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…
Descriptors: Foreign Countries, Predictor Variables, Potential Dropouts, School Holding Power
Fernández, María Soledad; Pomilio, Carlos; Cueto, Gerardo; Filloy, Julieta; Gonzalez-Arzac, Adelia; Lois-Milevicich, Jimena; Pérez, Adriana – Statistics Education Research Journal, 2020
Though statistics is covered in secondary-school curricula, it is usually limited to few lessons and mainly taught in a procedural approach. There seems to be a gap between the education of mathematics teachers and the demands on their practice. Learning statistics from a mathematical perspective does not qualify to teach the subject properly.…
Descriptors: Skill Development, Statistics, Workshops, Preservice Teachers
Malaspina, Martín; Malaspina, Uldarico – Statistics Education Research Journal, 2020
In this paper, we make a qualitative analysis of didactic experiments performed with five 6 to 10-year-old children and five primary school teachers, starting from a structured game with probabilistic elements. The fundamental idea is to stimulate probabilistic thinking not only by playing a card game with decision making in uncertain situations,…
Descriptors: Probability, Children, Elementary School Students, Elementary School Teachers
Do Knowledge Acquisition and Knowledge Sharing Really Affect E-Learning Adoption? An Empirical Study
Al-Emran, Mostafa; Teo, Timothy – Education and Information Technologies, 2020
Studying the factors that affect the e-learning adoption is not a new research topic. Nevertheless, exploring the effect of knowledge acquisition and knowledge sharing on e-learning adoption is a relatively new research trend that has not been featured in the existing literature. Thus, this study was conducted to build a new model by extending the…
Descriptors: Electronic Learning, Educational Technology, Information Technology, Technology Integration
Thanheiser, Eva; Rosencrans, Brenda; Ellis, Brittney; Sugimoto, Amanda; Kulow, Torrey; Robinson, Molly – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
Increasingly, mathematics is being positioned as a tool to support students' understandings of social (in)justice and their own unique social positioning in the world. To this end, this study analyzes the impact of curricular reform efforts in an elementary mathematics content course. The course focused on fractions and statistics, and the course…
Descriptors: Mathematics Instruction, Preservice Teachers, Preservice Teacher Education, Pedagogical Content Knowledge
Rumrill, Phillip D., Jr.; Cook, Bryan G.; Stevenson, Nathan A. – Charles C. Thomas, Publisher, Ltd, 2020
The primary purpose of this book is to offer a broad-based examination into the role of scientific inquiry in contemporary special education. As with the first two editions, which were published in 2001 and 2011, the goal is to provide a comprehensive overview of the philosophical, ethical, methodological, and analytical fundamentals of social…
Descriptors: Special Education, Educational Research, Social Science Research, Research Design

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