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Moussa-Inaty, Jase; Atallah, Fida; Causapin, Mark – International Journal of Instruction, 2019
This study sought to investigate the link between preferred learning styles, performance, and cognitive load. After determining learning styles (visual or auditory), undergraduate students were assigned to three instructional formats, namely: Listen Only, Read Only, and Read + Listen. A pretest was administered to assess students' prior knowledge…
Descriptors: Correlation, Cognitive Style, Cognitive Ability, Undergraduate Students
Doabler, Christian T.; Clarke, Ben; Kosty, Derek; Turtura, Jessica E.; Firestone, Allison R.; Smolkowski, Keith; Jungjohann, Kathleen; Brafford, Tasia L.; Nelson, Nancy J.; Sutherland, Marah; Fien, Hank; Maddox, Steven A. – Exceptional Children, 2019
Well-designed mathematics instruction focused on concepts and problem-solving skills associated with measurement and data analysis can build a foundational understanding for more advanced mathematics. This study investigated the efficacy of the Precision Mathematics Level 1 (PM-L1) intervention, a Tier 2 print- and technology-based mathematics…
Descriptors: Mathematics Instruction, Problem Solving, Grade 1, Elementary School Students
Stephenson, Charlotte; Isaacs, Tina – Curriculum Journal, 2019
Self-regulated learning (SRL) -- autonomously planning, self-monitoring and self-reflecting on learning -- is a strong predictor of academic success. Mastery of the strategies needed to become a self-regulated learner does not develop automatically in all students; thus, the classroom environment, including pedagogy and modes of assessment, plays…
Descriptors: Metacognition, Predictor Variables, Academic Achievement, Teaching Methods
Becker, Michael; Baumert, Jürgen; Tetzner, Julia; Maaz, Kai; Köller, Olaf – Developmental Psychology, 2019
What drives socioeconomic success within a society? This study analyzes how late childhood intelligence, parental socioeconomic background, and gender relate to multiple dimensions of adult socioeconomic success (i.e., education, occupational status, and income). A particular focus is placed on education, which is considered as both an indicator…
Descriptors: Intelligence, Family Characteristics, Gender Differences, Income
Doyle, Jeff; Wheelis, Meaghann; Thompson, LaNette; Strietzel, Jeff – Journal of Student Affairs Research and Practice, 2019
Financial aid is often linked to evidence of learning inside the classroom (students' GPA) and financial need. This mixed-methods study describes an assessment of a scholarship designed to encourage learning outside the classroom that required incoming students to live in a living-learning community (LLC). Results showed that though receipt of the…
Descriptors: Scholarships, Living Learning Centers, Program Effectiveness, Student Personnel Workers
Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
Davidovitch, Nitza; Yossel-Eisenbach, Yael – Journal of Education and e-Learning Research, 2019
This study examines undergraduate students' perceptions of academic teaching and factors that affect these perceptions, whether social background, secondary education, academic background, or learning habits. The study is based on the findings of a previous study conducted by the authors, which indicated two patterns of learning habits among…
Descriptors: Undergraduate Students, Student Attitudes, Resistance (Psychology), Technology Integration
Jambon, Marc; Madigan, Sheri; Plamondon, André; Jenkins, Jennifer – Developmental Psychology, 2019
Research has documented various family and individual risk factors associated with severe conduct problems, but little is known about the developmental origins of children who engage in both aggressive and prosocial interactions with others. The present study utilized growth-mixture modeling to identify distinct trajectories of physical aggression…
Descriptors: Foreign Countries, Preschool Children, Aggression, Prosocial Behavior
Regional Educational Laboratory Southeast, 2019
In spring 2015 Mississippi began testing the college readiness of all grade 11 public high school students and found that approximately 18 percent were ready for college math, a percentage that had changed little by 2017/18. This study examined: (1) the sequences of math courses that Mississippi students took in grades 6-11; (2) the math…
Descriptors: Grade 6, Grade 7, Grade 8, Grade 9
Longest, Kyle C.; Hitlin, Steven; Vaisey, Stephen – Social Forces, 2013
Research on the importance of values often focuses primarily on one domain of social predictors (e.g., economic) or limits its scope to a single dimension of values. We conduct a simultaneous analysis of a wide range of theoretically important social influences and a more complete range of individuals' value orientations, focusing both on value…
Descriptors: Values, Social Influences, Religion, Parents
Storek, Josephine; Furnham, Adrian – Learning and Individual Differences, 2013
Over 120 participants completed three timed intelligence tests, a self-estimated Domain Masculine (DMIQ) Intelligence scale, and a mindset "beliefs about intelligence" measure (Dweck, 2012) to examine correlates of the Hubris-Humility Effect (HHE) which shows males believe they are more intelligent than females. As predicted males gave…
Descriptors: Intelligence, Gender Differences, Beliefs, Intelligence Tests
Akizuki, Kazunori; Ohashi, Yukari – Research Quarterly for Exercise and Sport, 2014
Purpose: The influence of attention on postural control and the relationship between attention and falling has been reported in previous studies. Although a dual-task procedure is commonly used to measure attentional demand, such procedures are affected by allocation policy, which is a mental strategy to divide attention between simultaneous…
Descriptors: Attention, Metabolism, Physiology, Measures (Individuals)
Finch, W. Holmes; Cassady, Jerrell C. – Educational Assessment, Evaluation and Accountability, 2014
In the USA, trends in educational accountability have driven several models attempting to provide quality data for decision making at the national, state, and local levels, regarding the success of schools in meeting standards for competence. Statistical methods to generate data for such decisions have generally included (a) status models that…
Descriptors: Academic Standards, Accountability, Demography, Predictor Variables
Willoughby, Michael; Holochwost, Steven J.; Blanton, Zane E.; Blair, Clancy B. – Measurement: Interdisciplinary Research and Perspectives, 2014
The primary objective of this article was to critically evaluate the routine use of confirmatory factor analysis (CFA) for representing an individual's performance across a battery of executive function tasks. A conceptual review and statistical reanalysis of N = 10 studies that used CFA methods of EF tasks was undertaken. Despite evidence of…
Descriptors: Executive Function, Cognitive Measurement, Factor Analysis, Statistical Analysis
Ifenthaler, Dirk; Widanapathirana, Chathuranga – Technology, Knowledge and Learning, 2014
Interest in collecting and mining large sets of educational data on student background and performance to conduct research on learning and instruction has developed as an area generally referred to as learning analytics. Higher education leaders are recognizing the value of learning analytics for improving not only learning and teaching but also…
Descriptors: Data Analysis, Case Studies, Higher Education, Context Effect

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