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Tintle, Nathan; Clark, Jake; Fischer, Karen; Chance, Beth; Cobb, George; Roy, Soma; Swanson, Todd; VanderStoep, Jill – Journal of Statistics Education, 2018
The recent simulation-based inference (SBI) movement in algebra-based introductory statistics courses (Stat 101) has provided preliminary evidence of improved student conceptual understanding and retention. However, little is known about whether these positive effects are preferentially distributed across types of students entering the course. We…
Descriptors: Statistics, College Mathematics, College Preparation, Mathematical Concepts
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Sonnert, Gerhard; Sadler, Philip M. – International Journal of Mathematical Education in Science and Technology, 2014
Poor performance on placement exams keeps many US students who pursue a STEM (science, technology, engineering, mathematics) career from enrolling directly in college calculus. Instead, they must take a pre-calculus course that aims to better prepare them for later calculus coursework. In the USA, enrollment in pre-calculus courses in two- and…
Descriptors: Calculus, College Mathematics, Mathematics Achievement, College Students
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Tanujaya, Benidiktus; Mumu, Jeinne; Margono, Gaguk – International Education Studies, 2017
Higher order thinking skills (HOTS) is one of important aspects in education. Students with high level of higher order thinking skills tend to be more successful. However, do this phenomenon also happen in the learning of Mathematics? To answer this question, this research aims to study the relationship between HOTS and students' academic…
Descriptors: Thinking Skills, Mathematics Instruction, Correlation, Mathematics Achievement
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Kuzle, Ana – Technology, Knowledge and Learning, 2017
Students regularly struggle with mathematical tasks, particularly those concerning non-routine problems in geometry. Although educators would like for their learners to transfer their knowledge to non-routine and real-life situations, students run into a number of difficulties. The goal of this exploratory study was to analyze three participants'…
Descriptors: Mathematics Instruction, Problem Solving, Geometry, Computer Software
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Hilliam, Rachel; Calvert, Carol – New Directions in the Teaching of Physical Sciences, 2017
Statistics pervades everyone's lives, whether it is through media coverage, reading reports, weighing up internal risks or evaluating decisions. Most managers are swamped by endless targets, dashboards and spreadsheets, but few organisations have enough employees with statistical skills to support the requirement for evidence based decision…
Descriptors: Statistics, Learning Modules, Mathematics Education, Open Universities
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Jukic Matic, Ljerka – International Journal of Research in Education and Science, 2015
This paper investigates the reasoning of first year non-mathematics students in non-routine calculus tasks. The students in this study were accustomed to imitative reasoning from their primary and secondary education. In order to move from imitative reasoning toward more creative reasoning, non-routine tasks were implemented as an explicit part of…
Descriptors: Calculus, College Mathematics, Mathematical Logic, College Students
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Jones, Steven R. – International Journal of Mathematical Education in Science and Technology, 2015
Few studies on calculus limits have centred their focus on student understanding of limits at infinity or infinite limits that involve continuous functions (as opposed to discrete sequences). This study examines student understanding of these types of limits using both pure mathematics and applied-science functions and formulas. Seven calculus…
Descriptors: Calculus, Logical Thinking, Mathematics, Mathematical Concepts
Domenick, Anthony – Online Submission, 2015
The notion of linearity is perhaps the most fundamental idea in algebraic thinking. It sets the transition to functions and culminates with the instantaneous rate of change in calculus. Despite its simplicity, this concept poses complexities to a considerable number of first semester college algebra students. The purpose of this observational…
Descriptors: Algebra, College Mathematics, College Students, Mathematical Applications
Singleton, Cynthia M. – Online Submission, 2015
Uri Treisman's model of Collaborative Learning is consistent and supportive of Robert Gagne's learning hierarchy. In order to examine this relationship we must analyze each model individually.
Descriptors: Cooperative Learning, Mathematics Instruction, Expectation, College Faculty
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Wake, Geoff – Teaching Mathematics and Its Applications, 2016
This article is based on data from two major research projects that investigated students involved in mathematically demanding courses during their transition through college and into university. It explores the nature of modelling as a mathematical practice in this important transition phase for students. Theoretical considerations are informed…
Descriptors: Mathematics, Case Studies, Mathematical Models, Research Projects
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Black, Laura; Hernandez-Martinez, Paul – Teaching Mathematics and Its Applications, 2016
A wide body of literature has highlighted how high achievement in mathematics in secondary school does not necessarily motivate students to both choose and succeed on mathematically demanding programmes at post-compulsory level. The recent Enterprising Science project [Archer et al. (2015, "J. Res. Sci. Teach.," 52, 922-948)] and before…
Descriptors: Social Capital, Learner Engagement, Mathematics Instruction, College Mathematics
Moran Soto, Gustavo – ProQuest LLC, 2016
This research is a sequential explanatory mixed methods study seeking to understand the influences of mathematics self-efficacy (math SE) on the behavior and attitudes of engineering students with poor math preparation behavior and attitudes in their first college math courses. The quantitative phase of this research assessed the math SE of…
Descriptors: Self Efficacy, Mathematics Achievement, Engineering Education, Student Attitudes
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Hedges, Sarai; Harkness, Shelly Sheats – Statistics Education Research Journal, 2017
The connection between mathematics and statistics is an important aspect in understanding college students' learning of statistics because studies have shown relationships among mathematics attitudes and performance and statistics attitudes. Statistics attitudes, in turn, are related to performance in statistics courses. Little research has been…
Descriptors: College Students, Student Attitudes, Statistics, Mathematics Education
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Tisdell, Chris; Loch, Birgit – International Journal of Mathematical Education in Science and Technology, 2017
Closed captioning of instructional videos is a topic that has not seen much discussion despite its importance for hearing-impaired students and recent legal ramifications if videos are not appropriately captioned. In particular, it is unclear what best practice in captioning videos should be to benefit all learners in disciplines such as…
Descriptors: Mathematics, Mathematics Instruction, Mathematics Education, Blended Learning
Pardue, Teneal Messer – ProQuest LLC, 2017
Language plays a key role in statistics and, by extension, in statistics education. Enculturating students into the practice of statistics requires preparing them to communicate results of data analysis. Statistical argumentation is one way of providing structure to facilitate discourse in the statistics classroom. In this study, a teaching…
Descriptors: Statistics, Scaffolding (Teaching Technique), Heuristics, Persuasive Discourse
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