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Kotsopoulos, Donna; Makosz, Samantha; Zambrzycka, Joanna – Early Education and Development, 2017
Research Findings: In this research we explore the relationship between young children's number knowledge and their measurement of length. First, we examined 4- to 5-year-olds' (kindergartners') understanding of and preference for using standard or nonstandard units to measure length. Second, we investigated whether the following tasks were…
Descriptors: Young Children, Numeracy, Measurement, Kindergarten
Koukounas, Susan M. – ProQuest LLC, 2016
The purpose of this study was to investigate whether high student accountability and formative assessment affected student motivation, learning and resource management strategies, and achievement in developmental algebra I. The setting was a fifteen-week semester at a community college in suburban New York. Two sections of developmental algebra I…
Descriptors: Accountability, Formative Evaluation, Student Motivation, Academic Achievement
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Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
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Kim, ChanMin; Park, Seung Won; Cozart, Joe; Lee, Hyewon – Educational Technology & Society, 2015
Engagement and motivation are not one and the same, but motivation can be transformed into engagement with proper design of support. In this study, we examined the differences between high performers and low performers with regard to changes in their motivation, regulation, and engagement throughout the semester. Participants were 100 students…
Descriptors: Learner Engagement, Student Motivation, Virtual Classrooms, Online Courses
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Swanson, H. Lee; Moran, Amber; Lussier, Cathy; Fung, Wenson – Learning Disability Quarterly, 2014
The purpose of this study was to investigate the effectiveness of explicit, direct, and generative strategy training and working memory capacity (WMC) on mathematical word problem-solving accuracy in elementary schoolchildren. In this study, children in third grade ("N" = 82) identified as at risk for math difficulties (MD) were randomly…
Descriptors: Short Term Memory, Mathematics Instruction, Mathematics Achievement, Word Problems (Mathematics)
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H. Lee Swanson – Journal of Educational Psychology, 2014
Cognitive strategies are important tools for children with math difficulties (MD) in learning to solve word problems. The effectiveness of strategy training, however, depends on working memory capacity (WMC). Thus, children with MD but with relatively higher WMC are more likely to benefit from strategy training, whereas children with lower WMC may…
Descriptors: Teaching Methods, Cognitive Processes, Learning Problems, Mathematics Instruction
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Steele, Astrid; Brew, Christine; Rees, Carol; Ibrahim-Khan, Sheliza – Journal of Science Teacher Education, 2013
Since many preservice teachers (PTs) display anxiety over teaching math and science, four PT educators collaborated to better understand the PTs' background experiences and attitudes toward those subjects. The research project provided two avenues for professional learning: the data collected from the PTs and the opportunity for collaborative…
Descriptors: Teacher Educators, Teacher Collaboration, Student Improvement, Preservice Teachers
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Quinnell, Rosanne; May, Elizabeth; Peat, Mary – International Journal of Science Education, 2012
We surveyed first year students at the start and at the end of their first semester of university biology (n = 285) as to their approaches to study ("surface", "deep") and their conceptions of biology ("fragmented", "cohesive"). Hierarchical cluster analysis was used to group students who responded similarly…
Descriptors: Profiles, Curriculum Development, Biology, Learning Strategies
Ramdass, Darshanand H. – ProQuest LLC, 2009
This primary goal of this study was to investigate the effects of strategy training and self-reflection, two subprocesses of Zimmerman's cyclical model of self-regulation, on fifth grade students' mathematics performance, self-efficacy, self-evaluation, and calibration measures of self-efficacy bias, self-efficacy accuracy, self-evaluation bias,…
Descriptors: Control Groups, Self Efficacy, Mathematics Achievement, Path Analysis
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Scheiter, Katharina; Gerjets, Peter; Vollmann, Brigitte; Catrambone, Richard – Learning and Instruction, 2009
Against the background of an adaptation of Cognitive Load Theory to learner-controlled settings we investigated the impact of learner characteristics on information utilization strategies, cognitive load, and learning outcomes in a hypermedia environment. Based on the data of 79 students, five clusters of students were identified according to…
Descriptors: Student Attitudes, Information Utilization, Hypermedia, Multivariate Analysis
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Mevarech, Zemira R.; And Others – Journal of Educational Computing Research, 1991
Examines the effects of cooperative and individualistic computer-assisted instruction (CAI) programs on cognitive and affective variables in Israeli grade six mathematics classes. Analyses of the data indicate that students who used CAI for drill and practice in pairs performed better than students who used the same program individually. (30…
Descriptors: Academic Achievement, Affective Behavior, Analysis of Covariance, Cognitive Processes
Jackson, David F. – 1991
The ability of the microcomputer to compile voluminous and detailed measures of students' learning activities automatically has seemingly outpaced the ability of commonly-used data analysis methods to make effective utilization of this wealth of potentially useful information. This study explores the use of computer-based quantitative methods,…
Descriptors: Cluster Analysis, Computer Assisted Instruction, Computer Graphics, Data Analysis