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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
Petrie, Jennifer; James, Dwayne T.; Rzeszutko, Ryan – 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 Education, College Mathematics, College Students
James, Dwayne T.; Petrie, Jennifer; Rzeszutko, Ryan – 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 Education, College Mathematics, 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
Cruz Lopez, Cecilia; Ojeda Ramirez, Mario Miguel – Statistics Education Research Journal, 2021
Statistical education is a very important area of research because it builds knowledge and promotes innovation in the courses of this discipline. Based on the advances in this area, changes in the content and approaches of the courses at all educational levels have been promoted in several countries. In this study, we examine programs of…
Descriptors: Foreign Countries, College Students, Introductory Courses, Educational Innovation
Babcock, Renée L.; Georgiou, Jean – Journal of Effective Teaching in Higher Education, 2019
This study used propensity score matching to compare two online courseware systems intended for use as supplements to either face-to-face or online courses. One courseware system focused on adaptive features available to students while completing assignments; whereas the other system was an interactive courseware that provided embedded media…
Descriptors: Computer Software Evaluation, Courseware, Probability, Scores
Cansino, J. M.; Román, Rocío; Expósito, Alfonso – Education Sciences, 2018
This paper analyzes the impact of students' proactivity on academic performance based on a sample from students enrolled in an introductory course of Political Economy at the University of Seville (Spain) in three consecutive courses (2014-2015, 2015-2016 and 2016-2017). Proactivity is measured by several indicators, such as class attendance,…
Descriptors: Student Attitudes, Academic Achievement, Instructional Effectiveness, Introductory Courses
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
Boldt, David J.; Kassis, Mary M.; Smith, William J. – Journal of College Student Retention: Research, Theory & Practice, 2017
The course withdrawal decision includes both monetary and time costs for the student. Institutional costs include the misallocation of scarce seats to noncompleting students. Understanding the course withdrawal decision process can aid advisors and administrators as they seek ways to improve retention and progression. This study uses 21,318 course…
Descriptors: Withdrawal (Education), Business Administration Education, Core Curriculum, Influences
Kalinowski, Steven T.; Willoughby, Shannon – Journal of Research in Science Teaching, 2019
We present a multiple-choice test, the Montana State University Formal Reasoning Test (FORT), to assess college students' scientific reasoning ability. The test defines scientific reasoning to be equivalent to formal operational reasoning. It contains 20 questions divided evenly among five types of problems: control of variables, hypothesis…
Descriptors: Science Tests, Test Construction, Science Instruction, Introductory Courses
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
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
Darren Page – ProQuest LLC, 2021
This dissertation analyzes the ways that college applicants and college students navigate through higher education with a focus on ways to improve their experience. In the first chapter, I examine the ways that college applicants change their application and enrollment decisions when using the Common Application. In the second chapter, I highlight…
Descriptors: College Students, College Applicants, Educational Experience, Decision Making
Glazer, Hilda R.; Murphy, John A. – American Journal of Distance Education, 2015
The first-year experience for students enrolled in an online degree program, particularly the orientation and the first course experience, is critical to success and completion. The experience of one online university in improving persistence through enhancing orientation and the first academic course is presented. Factors impacting persistence…
Descriptors: Online Courses, Academic Persistence, College Students, Distance Education
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2013
An understanding of conditional probability is essential for students of inferential statistics as it is used in Null Hypothesis Tests. Conditional probability is also used in Bayes' theorem, in the interpretation of medical screening tests and in quality control procedures. This study examines the understanding of conditional probability of…
Descriptors: Foreign Countries, Mathematics Instruction, Statistical Inference, Statistics
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