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Tina Ahmadi; W. Holmes Finch; C. Addison Helsper; Jerrell Cassady – Psychology in the Schools, 2025
Perfectionism research has progressively supported an identification of two related dimensions, referred to as perfectionistic strivings (PS) and perfectionistic concerns (PC). Examinations of learner experiences based on these two dimensions have routinely demonstrated differential influence on academic emotions and performances, examining the…
Descriptors: Personality Traits, Test Anxiety, Learning Strategies, Correlation
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Melis Yesilpinar Uyar – Athens Journal of Education, 2024
The aim of the study was determining the openness to learning tendencies and metacognitive learning strategies and analysing the predictive relationships between the related variables. The predictive research model was used in the study. Within the research, 499 education faculty students participated. For data collection, "Metacognitive…
Descriptors: Metacognition, Predictor Variables, Correlation, Teacher Competencies
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Aldo Ramirez-Arellano – SAGE Open, 2024
Several investigations have focused on the relationship between personality and learning performance. However, the relationships among personality traits, motivation, emotional and behavioral engagement, and metacognitive-cognitive strategies remain unexplored. This research introduces a model based on a personality system set comprising…
Descriptors: Personality Traits, Student Motivation, Learner Engagement, Metacognition
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Munzar, Brendan; Muis, Krista R.; Denton, Courtney A.; Losenno, Kelsey – Journal of Educational Psychology, 2021
We propose a model delineating the role of control, value, and cognitive disequilibrium in elementary students' experience of emotions during mathematics problem solving. We tested this model across 2 studies. In Study 1, using an explanatory mixed-methods design, 136 students from Grades 3 to 6 worked on a complex mathematics problem appropriate…
Descriptors: Elementary School Students, Cognitive Processes, Affective Behavior, Mathematics Skills
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Rusen Meylani – International Society for Technology, Education, and Science, 2023
Due to the COVID-19 pandemic, there has been a significant change in college mathematics education toward online learning, which has advantages and disadvantages for students, instructors, and institutions. To ensure the effectiveness of online learning, it is crucial to understand the factors that influence its success. This study looks at the…
Descriptors: COVID-19, Pandemics, Instructional Effectiveness, Electronic Learning
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Agler, Lin-Miao L.; Stricklin, Kelley; Alfsen, Larisa K. – Journal of Curriculum and Teaching, 2020
The Big Five-Factor personality traits are examined in the present review. Individual characteristics and personality types may contribute differently to choices of learning strategies and overall cognitive performance. The purpose of this paper is twofold: (1) to provide a brief overview of consistent research findings on personality constructs…
Descriptors: Personality Traits, Teaching Methods, Individual Characteristics, Learning Strategies
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Lubienski, Sarah Theule; Ganley, Colleen M.; Makowski, Martha B.; Miller, Emily K.; Timmer, Jennifer D. – Journal for Research in Mathematics Education, 2021
Despite progress toward gender equity, troubling disparities in mathematical problem-solving performance and related outcomes persist. To investigate why, we build on recurrent findings in previous studies to introduce a new construct, "bold problem solving," which involves approaching mathematics problems in inventive ways. We introduce…
Descriptors: Mathematics Instruction, Problem Solving, Gender Differences, Middle School Students
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Ruiz-Alfonso, Zuleica; León, Jaime – School Effectiveness and School Improvement, 2019
The purpose of this study was to examine the relationship between teaching quality and students' harmonious passion, deep strategy to learn, and epistemic curiosity in mathematics in 1,003 high school students. Data were analyzed using multilevel structural equation modeling, and results showed support for the hypotheses tested. First, we found…
Descriptors: Teacher Effectiveness, Student Attitudes, High School Students, Positive Reinforcement
Abadzi, Helen – UNESCO International Bureau of Education, 2015
Research on memory functions and their applications is a vast field that has unfolded for decades; some important studies are sixty years old. However, the research has remained a well-kept secret of cognitive psychologists. Education faculties rarely teach memory specifics, so people working in education typically do not know about the above…
Descriptors: Skill Development, Memory, Educational Policy, Cognitive Processes
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Cornwell, John M.; Manfredo, Pamela A. – Educational and Psychological Measurement, 1994
Nominal-level analysis of 4 primary learning styles (doing, thinking, watching, and feeling) of 292 subjects (mostly college students) from the Learning Styles Inventory demonstrated their discriminant/convergent validity but not the validity of the learning-style types suggested by D. A. Kolb (1976) (accommodator, diverger, converger, and…
Descriptors: Adults, Cognitive Processes, Cognitive Style, College Students
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Bruch, Monroe A.; And Others – Journal of Counseling Psychology, 1986
Extended research on cognitive factors that may differentially underlie test anxiety and academic performance by assessing differences in (a) information-processing strategies used to encode course-work information, (b) degree of belief in one's negative self-statements, (c) Type A behavior, (d) test-taking skills, and (e) unrealistic expectations…
Descriptors: Academic Achievement, Cognitive Processes, College Students, Higher Education
Green, Kathy E. – 1985
Cognitive style refers to preferences for, or dominant modes of, information processing. Cognitive styles tend to be bipolar and less value-laden than ability or aptitude measures. Conceptualizations of cognitive style differ in the number of styles and the degree of metacognitive control over them which individuals are presumed to have. The Hill…
Descriptors: Cognitive Processes, Cognitive Style, Cognitive Tests, Conceptual Tempo
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Riechmann-Hruska, Sheryl – Equity and Excellence, 1989
Discusses the following factors influencing learning: (1) environment; (2) emotional makeup; (3) persistence; (4) timing of learning; (5) teaching method; (6) cognitive style; (7) food intake; and (8) psychological factors, including the difference between analytical and global thinking. Discusses how to get a sense of one's personal learning…
Descriptors: Adult Students, Cognitive Processes, Cognitive Style, Educational Environment
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Borg, Mary O.; Shapiro, Stephen L. – Journal of Economic Education, 1996
Utilizes the Myers-Briggs Type Indicator (MBTI) to delineate four basic personality types and their corresponding learning styles. Compares student's learning style with professor's teaching style. Suggests options for improving instruction by offering teaching and grading strategies that better accommodate student personality types and learning…
Descriptors: Academic Ability, Academic Achievement, Cognitive Processes, Cognitive Style
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Riding, Richard J.; Read, Geoffrey – Educational Psychology, 1996
Surveys 78 British secondary school students and correlates their responses regarding preferences in learning styles to information previously determined by the computer-presented Cognitive Styles Analysis. Examines the students' preferences for group, pair, or individual work, as well as, open and closed tasks. (MJP)
Descriptors: Aural Learning, Cognitive Processes, Cognitive Style, Computer Uses in Education
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