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Justice, Nicola; Le, Laura; Sabbag, Anelise; Fry, Elizabeth; Ziegler, Laura; Garfield, Joan – Journal of Statistics Education, 2020
One of the first simulation-based introductory statistics curricula to be developed was the NSF-funded Change Agents for Teaching and Learning Statistics curriculum. True to its name, this curriculum is constantly undergoing change. This article describes the story of the curriculum as it has evolved at the University of Minnesota and offers…
Descriptors: Statistics, College Mathematics, Simulation, Introductory Courses
Loge, Erik – ProQuest LLC, 2022
The purpose of this dissertation is to study the consistency of the structures and the centrality of mathematics courses in the curricula of the universities in the Minnesota State University system. This research will be based on the curriculum prerequisite networks for the seven universities in the Minnesota State System. These networks will be…
Descriptors: Undergraduate Study, College Curriculum, Prerequisites, Required Courses
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Anila Yadavalli; J. D. Walker; Jeff J. Shi; Jonathan Rogness – PRIMUS, 2024
The University of Minnesota Talented Youth Mathematics Program (UMTYMP) is a selective, five-year accelerated mathematics program for students in grades 6-12. During the program, students take college mathematics courses on University of Minnesota campuses, starting with algebra and continuing through logic and proofs, linear algebra, and…
Descriptors: Asian American Students, Asians, Middle School Students, High School Students
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Constance A. Lightner; Carin A. Lightner-Laws – Interactive Learning Environments, 2024
As COVID-19 continues to impact various business sectors, university administrators have steadily pushed for all academic units to resume on campus operations and activities; conversely, faculty and students have expressed increased interest in continuing online teaching/learning. We aim to mitigate this "tug-of-war" between…
Descriptors: Blended Learning, Flexible Scheduling, Business Administration Education, Statistics
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Diamond, Kate; Kandola, Shelley; Weimerskirch, Mike – PRIMUS, 2021
Historically, math education at the high school and introductory college levels has focused on computational skills. With the advancement of computational technologies, problemsolving and other higher-order thinking skills should become the focal point. This article discusses ways in which the University of Minnesota has integrated problem-solving…
Descriptors: Problem Solving, Skill Development, Active Learning, Calculus
Cullinan, Dan; Kopko, Elizabeth – Center for the Analysis of Postsecondary Readiness, 2022
Research suggests that using only standardized placement test scores to determine which new college students should take developmental coursework is inadequate, as many students may be unnecessarily assigned to developmental courses. These courses generally take one or more semesters to complete, delaying entry into college-level coursework, and…
Descriptors: Evaluation Methods, Student Evaluation, College Students, Student Placement
Ganga, Elizabeth; Mazzariello, Amy – Education Commission of the States, 2019
Community colleges and open-access, four-year colleges admit nearly everyone who applies and enroll students with a wide range of skills. Many of these colleges run developmental education programs for students who they determine are underprepared for college-level courses. More than two-thirds of community college students are assigned to…
Descriptors: Student Placement, Student Evaluation, Community Colleges, Two Year College Students
Cullinan, Dan; Biedzio, Dorota – MDRC, 2021
Colleges throughout the United States are evaluating the effectiveness of their strategies to place entering students into college-level or developmental education courses. Developmental, or remedial, courses are designed to advance the reading, writing, and math skills of students who are deemed academically underprepared for college-level…
Descriptors: Academic Persistence, Student Placement, Student Evaluation, Remedial Instruction
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Backman, Matthew D.; Delmas, Robert C.; Garfield, Joan – Statistics Education Research Journal, 2017
Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A…
Descriptors: Introductory Courses, Statistics, Mathematics Instruction, Simulation
Huang, Melrose; Yamada, Hiroyuki – Carnegie Foundation for the Advancement of Teaching, 2017
Statway® is an accelerated developmental mathematics intervention program for college students who are not yet prepared to succeed in a college-level math course. The Carnegie Foundation for the Advancement of Teaching created the initiative to increase student success rates in developmental mathematics and subsequent credit-bearing, college-level…
Descriptors: College Mathematics, Remedial Mathematics, Acceleration (Education), Program Effectiveness
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Harwell, Michael; Moreno, Mario; Post, Thomas – Journal of Psychoeducational Assessment, 2016
This study examined the relationship between the American College Testing (ACT) college mathematics readiness standard and college mathematics achievement using a sample of students who met or exceeded the minimum 3 years high school mathematics coursework recommended by ACT. According to ACT, a student who scores 22 or higher on the ACT…
Descriptors: College Entrance Examinations, Mathematics Tests, College Mathematics, College Readiness
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Yamada, Hiroyuki; Bohannon, Angel X.; Grunow, Alicia; Thorn, Christopher A. – Community College Review, 2018
Objective: Quantway is a Carnegie Math Pathways initiative, which redesigns the content, pedagogy, and structure of traditional developmental mathematics courses to simultaneously tackle traditional barriers to student success and support a broad range of developmental students in achieving their mathematics potential. Specifically, Quantway is a…
Descriptors: Hierarchical Linear Modeling, Probability, Scores, Developmental Studies Programs
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Engelke, Nicole; Karakok, Gulden; Wangberg, Aaron – PRIMUS, 2016
"WeBWorK" CLASS combines the best features of online homework and digital whiteboards to create a system that provides instructors with information on students' problem-solving processes, as well as their final answer. The system's utilization of tools that can sort students based on correct and incorrect homework and quiz answers and…
Descriptors: Mathematics Instruction, College Mathematics, Technology Uses in Education, Educational Technology
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Staats, Susan; Robertson, Douglas – Journal of College Teaching & Learning, 2014
Over the last decade, the pedagogical approach known as mathematical modeling has received increased interest in college algebra classes in the United States. Math modeling assignments ask students to develop their own problem-solving tools to address non-routine, realistic scenarios. The open-ended quality of modeling activities creates dilemmas…
Descriptors: Mathematics Instruction, Algebra, College Mathematics, Mathematical Models
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Sanft, Rebecca; Walter, Anne – PRIMUS, 2016
St. Olaf College recently added a Mathematical Biology concentration to its curriculum. The core course, Mathematics of Biology, was redesigned to include a wet laboratory. The lab classes required students to collect data and implement the essential modeling techniques of formulation, implementation, validation, and analysis. The four labs…
Descriptors: College Mathematics, Undergraduate Study, Mathematics Instruction, Biology
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