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James, Terry – College Quarterly, 2018
The purpose is to improve insights and educational results by applying analytic methods. The focus is on the mathematics applied to learn from the kind of data available to most classes such as final examination marks or homework grades. The sample is 249 students learning introductory college statistics. The result is a predictive model for…
Descriptors: Data Analysis, Mathematics Instruction, Introductory Courses, Statistics
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Jonsdottir, Anna Helga; Bjornsdottir, Audbjorg; Stefansson, Gunnar – Journal of Statistics Education, 2017
A repeated crossover experiment comparing learning among students handing in pen-and-paper homework (PPH) with students handing in web-based homework (WBH) has been conducted. The system used in the experiments, the tutor-web, has been used to deliver homework problems to thousands of students in mathematics and statistics over several years.…
Descriptors: Homework, Web Based Instruction, Conventional Instruction, Comparative Analysis
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Hedges, Sarai – Statistics Education Research Journal, 2017
The statistics education community continues to explore the differences in performance outcomes and in student attitudes between online and face-to-face delivery methods of statistics courses. In this quasi-experimental study student persistence, exam, quiz, and homework scores were compared between delivery methods, class status, and programs of…
Descriptors: Statistics, Student Attitudes, Academic Achievement, Performance
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Chesler, Joshua – Issues in the Undergraduate Mathematics Preparation of School Teachers, 2015
Undergraduate mathematics programs must prepare teachers for the challenges of teaching statistical thinking as advocated in standards documents and statistics education literature. This study investigates the statistical thinking of pre-service secondary mathematics teachers at the end of their undergraduate educations. Although all had completed…
Descriptors: Preservice Teachers, Secondary School Teachers, Mathematics Teachers, Statistics
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Crissinger, Bryan R. – Journal of Statistics Education, 2015
Most homework sets in statistics courses are constructed so that students concentrate or "mass" their practice on a certain topic in one problem set. Distributed practice homework sets include review problems in each set so that practice on a topic is distributed across problem sets. There is a body of research that points to the…
Descriptors: Undergraduate Students, Statistics, Homework, Randomized Controlled Trials
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Gonul, Fusun F.; Solano, Roger A. – Journal of Statistics Education, 2013
We investigate business undergraduate mathematics-based courses in a blended environment of online assignments and exams and offline lectures, and report the impact on academic performance of factors such as classroom attendance, web-based course supplements, and homework. We present results from both ordinary least squares and fixed effects,…
Descriptors: Computer Assisted Instruction, Business Administration Education, Mathematics Instruction, College Mathematics
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Gundlach, Ellen; Richards, K. Andrew R.; Nelson, David; Levesque-Bristol, Chantal – Journal of Statistics Education, 2015
Web-augmented traditional lecture, fully online, and flipped sections, all taught by the same instructor with the same course schedule, assignments, and exams in the same semester, were compared with regards to student attitudes; statistical reasoning; performance on common exams, homework, and projects; and perceptions of the course and…
Descriptors: Educational Technology, Web Based Instruction, Student Attitudes, Performance
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Dotterweich, Douglas P.; Rochelle, Carolyn F. – American Journal of Business Education, 2012
Distance education has surged in recent years while research on student characteristics and factors leading to successful outcomes has not kept pace. This study examined characteristics of regional university students in undergraduate Business Statistics and factors linked to their success based on three modes of delivery - Online, Instructional…
Descriptors: Delivery Systems, Student Characteristics, Success, Statistics