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Bye, Jeffrey K.; Harsch, Rina M.; Varma, Sashank – Journal of Numerical Cognition, 2022
Algebraic thinking and strategy flexibility are essential to advanced mathematical thinking. Early algebra instruction uses 'missing-operand' problems (e.g., x - 7 = 2) solvable via two typical strategies: (1) direct retrieval of arithmetic facts (e.g., 9 - 7 = 2) and (2) performance of the inverse operation (e.g., 2 + 7 = 9). The current study…
Descriptors: Algebra, Problem Solving, Mathematics Instruction, Arithmetic
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Black, W. K.; Matz, Rebecca L.; Mills, Mark; Evrard, A. E. – Physical Review Physics Education Research, 2023
Problem Roulette (PR), an online study service at the University of Michigan, offers points-free formative practice to students preparing for examinations in introductory science, technology, engineering, and mathematics courses. Using four years of PR data involving millions of problem attempts by thousands of students, we quantify the benefits…
Descriptors: Physics, Science Instruction, Teaching Methods, Introductory Courses
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Appelrouth, Jed I.; Zabrucky, Karen M. – College and University, 2017
In 2016, more than 1.6 million students took the Scholastic Aptitude Test (SAT), a standardized college admissions test (College Board 2016a). Researchers have estimated that 33 percent of students who take the SAT participate in some mode of formal test preparation, such as private tutoring or classes, to prepare for the exam (Buchmann, Condron…
Descriptors: College Entrance Examinations, Test Preparation, Meta Analysis, College Admission
Geiser, Saul – Center for Studies in Higher Education, 2020
One of the major claims of the report of University of California's Task Force on Standardized Testing is that SAT and ACT scores are superior to high-school grades in predicting how students will perform at UC. This finding has been widely reported in the news media and cited in several editorials favoring UC's continued use of SAT/ACT scores in…
Descriptors: College Entrance Examinations, Grade Point Average, Standardized Tests, College Admission
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Mulligan, Neil W.; Rawson, Katherine A.; Peterson, Daniel J.; Wissman, Kathryn T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Although memory retrieval often enhances subsequent memory, Peterson and Mulligan (2013) reported conditions under which retrieval produces poorer subsequent recall--the negative testing effect. The item-specific--relational account proposes that the effect occurs when retrieval disrupts interitem organizational processing relative to the restudy…
Descriptors: Testing, Recall (Psychology), Memory, Cognitive Ability
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Frey, Regina F.; Cahill, Michael J.; McDaniel, Mark A. – Journal of Chemical Education, 2017
One primary goal of many science courses is for students to learn creative problem-solving skills; that is, integrating concepts, explaining concepts in a problem context, and using concepts to solve problems. However, what science instructors see is that many students, even those having excellent SAT/ACT and Advanced Placement scores, struggle in…
Descriptors: Science Instruction, Problem Solving, Predictor Variables, Chemistry
Christina Marie Coovert – ProQuest LLC, 2017
The purpose of this research study was to explore how incoming first year students develop their academic performance expectations, differences between students in the development of academic performance expectations, and lastly the role of the university has in communicating expectations to students. The researcher utilized case study research to…
Descriptors: College Freshmen, Academic Achievement, Student Attitudes, Expectation
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Bacon, Donald R.; Hartley, Steven W. – Marketing Education Review, 2015
Many educators and researchers have suggested that some students learn more effectively with visual stimuli (e.g., pictures, graphs), whereas others learn more effectively with verbal information (e.g., text) (Felder & Brent, 2005). In two studies, the present research seeks to improve popular self-reported (indirect) learning style measures…
Descriptors: Cognitive Style, Test Items, Individual Differences, Mathematical Aptitude
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Unsworth, Nash; Brewer, Gene A.; Spillers, Gregory J. – Journal of Memory and Language, 2012
The present study examined individual differences in everyday cognitive failures assessed by diaries. A large sample of participants completed various cognitive ability measures in the laboratory. Furthermore, a subset of these participants also recorded everyday cognitive failures (attention, retrospective memory, and prospective memory failures)…
Descriptors: Attention Control, Individual Differences, Short Term Memory, Diaries
Arnold, Kathleen M.; Daniel, David B.; Jensen, Jamie L.; McDaniel, Mark A.; Marsh, Elizabeth J. – Grantee Submission, 2016
Knowing what skills underlie college success can allow students, teachers, and universities to identify and to help at-risk students. One skill that may underlie success across a variety of subject areas is structure building, the ability to create mental representations of narratives (Gernsbacher, Varner, & Faust, 1990). We tested if…
Descriptors: Undergraduate Students, Introductory Courses, Psychology, Biology
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Unsworth, Nash; McMillan, Brittany D.; Brewer, Gene A.; Spillers, Gregory J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2012
The present study examined individual differences in everyday attention failures. Undergraduate students completed various cognitive ability measures in the laboratory and recorded everyday attention failures in a diary over the course of a week. The majority of attention failures were failures of distraction or mind wandering in educational…
Descriptors: Attention, Failure, Undergraduate Students, Individual Differences
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Semmes, Robert; Davison, Mark L.; Close, Catherine – Applied Psychological Measurement, 2011
If numerical reasoning items are administered under time limits, will two dimensions be required to account for the responses, a numerical ability dimension and a speed dimension? A total of 182 college students answered 74 numerical reasoning items. Every item was taken with and without time limits by half the students. Three psychometric models…
Descriptors: Individual Differences, Logical Thinking, Timed Tests, College Students
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Culpepper, Steven Andrew – Multivariate Behavioral Research, 2010
Statistical prediction remains an important tool for decisions in a variety of disciplines. An equally important issue is identifying factors that contribute to more or less accurate predictions. The time series literature includes well developed methods for studying predictability and volatility over time. This article develops…
Descriptors: Prediction, Individual Differences, Regression (Statistics), Computation
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Crede, Marcus; Roch, Sylvia G.; Kieszczynka, Urszula M. – Review of Educational Research, 2010
A meta-analysis of the relationship between class attendance in college and college grades reveals that attendance has strong relationships with both class grades (k = 69, N = 21,195, p = 0.44) and GPA (k = 33, N = 9,243, p = 0.41). These relationships make class attendance a better predictor of college grades than any other known predictor of…
Descriptors: Study Habits, Grade Point Average, Attendance Patterns, Meta Analysis
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Foti, Roseanne J.; Hauenstein, Neil M. A. – Journal of Applied Psychology, 2007
This study examined variable and pattern approaches to studying the influence of individual differences on both leadership emergence and leader effectiveness. Emergent leaders were identified and then followed for 9 months of effectiveness data gathering. Bivariate correlation and regression analyses were complemented by person-based analyses.…
Descriptors: Self Efficacy, Leadership Effectiveness, Leadership, Individual Differences
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