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Huie, Emily Z.; Sathe, Risa Uday; Wadhwa, Anish; Santos, Efrain Vasquez; Gulacar, Ozcan – EURASIA Journal of Mathematics, Science and Technology Education, 2022
Concept maps are powerful tools used to reveal challenges in students' learning. However, their use introduces complexities when a large group of students' conceptualizations need to be examined. In this study, concept maps of 344 general chemistry students were analyzed after grouping them based on achievement in chemistry, math proficiency, and…
Descriptors: Concept Mapping, Chemistry, Mathematics Skills, Gender Differences
Costa, H. M.; Nicholson, B.; Donlan, C.; Van Herwegen, J. – Journal of Intellectual Disability Research, 2018
Background: Different domain-specific and domain-general cognitive precursors play a key role in the development of mathematical abilities. The contribution of these domains to mathematical ability changes during development. Primary school-aged children who show mathematical difficulties form a heterogeneous group, but it is not clear whether…
Descriptors: Preschool Children, Mathematics Skills, Low Achievement, Multivariate Analysis
Holm, Marja Eliisa; Hannula, Markku Sakari; Björn, Piia Maria – Educational Psychology, 2017
This study examined the relation of mathematics performance and gender with seven mathematics-related emotions (enjoyment, pride, anger, anxiety, shame, hopelessness and boredom) among adolescents. Using strict and lenient mathematics performance cut-off scores, respective groups of adolescents with mathematics difficulties (MD, n = 136), low (LA,…
Descriptors: Foreign Countries, Adolescents, Mathematics Achievement, Gender Differences
Swanson, H. Lee; Olide, Andres F.; Kong, Jennifer E. – Journal of Educational Psychology, 2018
This study investigated whether a latent class of children with math difficulties (MD) or math learning disabilities (MLD) emerged within a heterogeneous sample of learners. A latent class analysis was computed on children (N = 447) in Grade 3 who were administered a battery of math, reading, and cognitive measures. The analysis yielded four…
Descriptors: Multivariate Analysis, Learning Disabilities, Short Term Memory, Low Achievement
Herborn, Katharina; Mustafic, Maida; Greiff, Samuel – Journal of Educational Measurement, 2017
Collaborative problem solving (CPS) assessment is a new academic research field with a number of educational implications. In 2015, the Programme for International Student Assessment (PISA) assessed CPS with a computer-simulated human-agent (H-A) approach that claimed to measure 12 individual CPS skills for the first time. After reviewing the…
Descriptors: Cooperative Learning, Problem Solving, Computer Simulation, Evaluation Methods
Al-Hilawani, Yasser A. – Educational Studies, 2018
The purpose of this study was to examine the relationship between metacognition as measured in real-life situations and IQ scores as reflected by performance on the Raven Standard Progressive Matrices Scale. It is also intended in this study to report on whether or not there were significant differences in performance on the metacognitive…
Descriptors: Intelligence Quotient, Metacognition, Correlation, Tests
Frost, Jørgen; Ottem, Ernst – Scandinavian Journal of Educational Research, 2018
The Myself-As-a-Learner scale (MALS) has been constructed to assess academic self-concept (Burden, R. L. [2000]. "The Myself As a Learner Scale." Birmingham: Imaginative Minds; Burden, R. L. [2012]. "The Myself As a Learner Scale" [2nd ed.]. Cognitive Education Development Centre, Graduate School of Education, University of…
Descriptors: Self Concept, Control Groups, Vocabulary Development, Experimental Groups
Toots, Anu; Idnurm, Tõnu – Curriculum and Teaching, 2016
This article studies variance in the political participation of adolescents depending on achievement in civic education. The aim is to discover whether low achievers represent a distinctive pattern of political participation, and whether this varies across participation types (i.e. horizontally) and across current participation in school and…
Descriptors: Foreign Countries, Low Achievement, High Achievement, Citizen Participation
Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2017
Using an educational data mining approach, first-year academic achievement of undergraduate nursing students, which included two compulsory courses in introductory human anatomy and physiology, was compared with achievement in a final semester course that transitioned students into the workplace. We hypothesized that students could be grouped…
Descriptors: Introductory Courses, Anatomy, Nursing Education, Physiology
Callinan, Sarah; Theiler, Stephen; Cunningham, Everarda – Journal of Learning Disabilities, 2015
Traditionally, students with learning disabilities (LD) have been identified using an aptitude--achievement discrepancy or response to intervention approach. As profiles of the cognitive deficits of discrepancy-defined students with LD have already been developed using these approaches, these deficits can in turn be used to identify LD using the…
Descriptors: Learning Disabilities, Disability Identification, Low Achievement, Cognitive Tests
Sumarno; Setyosari, Punaji; Haryono – European Journal of Educational Research, 2017
This study aims to examine the effect of feedback strategies on understanding and applying the concept of National ideology to students who have different achievement motivation, on learning Citizenship Education in vocational high schools. This research uses quasi experiment research design (Quasi Experiment). The subjects of this study were 133…
Descriptors: Feedback (Response), Educational Strategies, Student Motivation, Academic Achievement
Agnihotri, Lalitha; Aghababyan, Ani; Mojarad, Shirin; Riedesel, Mark; Essa, Alfred – International Educational Data Mining Society, 2015
Student login data is a key resource for gaining insight into their learning experience. However, the scale and the complexity of this data necessitate a thorough exploration to identify potential actionable insights, thus rendering it less valuable compared to student achievement data. To compensate for the underestimation of login data…
Descriptors: Data Analysis, Web Based Instruction, Student Behavior, Correlation
Kim, ChanMin; Park, Seung Won; Huynh, Niem; Schuermann, Ryan Thomas – Journal of Further and Higher Education, 2017
We investigated how high-performers and low-performers differ with regard to motivation and engagement in a university-level, large-format general education geography course. One hundred and ten students participated in the study. A self-report measure was administered three times (at the beginning, middle and end of the semester). Performance…
Descriptors: College Students, Student Motivation, Learner Engagement, Academic Achievement
Orgiles, Mireia; Gomez, Marta; Piqueras, Jose A.; Espada, Jose P. – Electronic Journal of Research in Educational Psychology, 2014
Introduction: Despite data showing the relationship between depression and decreased school performance, there is a lack of studies with Spanish children. The objective of this research is to examine school performance as a function of depression and gender. Method: Participants were 658 Spanish children aged between 8 and 12 years, 49.6% male,…
Descriptors: Correlation, Academic Achievement, Depression (Psychology), Symptoms (Individual Disorders)
Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2015
A cluster analysis data classification technique was used on assessment scores from 157 undergraduate nursing students who passed 2 successive compulsory courses in human anatomy and physiology. Student scores in five summative assessment tasks, taken in each of the courses, were used as inputs for a cluster analysis procedure. We aimed to group…
Descriptors: Undergraduate Students, Science Achievement, Physiology, Introductory Courses