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Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar – International Journal of Educational Technology in Higher Education, 2023
Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…
Descriptors: Identification, At Risk Students, Artificial Intelligence, Academic Achievement
Ethan R. Van Norman; Jaclin Boorse; David A. Klingbeil – Grantee Submission, 2024
Despite the increased number of quantitative effect sizes developed for single-case experimental designs (SCEDs), visual analysis remains the gold standard for evaluating methodological rigor of SCEDs and determining whether a functional relation between the treatment and the outcome exists. The physical length and range of values plotted on x and…
Descriptors: Visual Aids, Outcomes of Education, Oral Reading, Reading Comprehension
Ethan R. Van Norman; Jaclin Boorse; David A. Klingbeil – Journal of Behavioral Education, 2024
Despite the increased number of quantitative effect sizes developed for single-case experimental designs (SCEDs), visual analysis remains the gold standard for evaluating methodological rigor of SCEDs and determining whether a functional relation between the treatment and the outcome exists. The physical length and range of values plotted on x and…
Descriptors: Visual Aids, Outcomes of Education, Oral Reading, Reading Comprehension
Orwig, William; Diez, Ibai; Bueichekú, Elisenda; Kelly, Christopher A.; Sepulcre, Jorge; Schacter, Daniel L. – Creativity Research Journal, 2023
Studies suggest that internally oriented cognitive processes are central to creativity. Here, we distinguish between intentional and unintentional forms of mind wandering and explore their behavioral and neural correlates. We used a sample of 155 healthy adults from the mind-brain-body dataset, all of whom completed resting-state fMRI scans and…
Descriptors: Attention Control, Creativity, Brain Hemisphere Functions, Diagnostic Tests
Ulises García-Teutli; José Antonio Juárez-López – International Electronic Journal of Mathematics Education, 2024
Although student covariation reasoning has been explored in depth to improve understanding of the correspondence between variables, research has focused on studying existing reasoning about variables in Cartesian representations. The working method had a qualitative approach, with a descriptive exploratory scope, the spontaneous representations…
Descriptors: Thinking Skills, Correlation, Illustrations, Difficulty Level
Baldwin, Nicole – ProQuest LLC, 2022
Laboratory activities are a prevalent and essential part of chemistry learning because of their potential to help students develop problem solving abilities, visualize chemistry concepts learned in lecture, and gain practical skills. However, learning in the laboratory environment is not without its challenges. For example, cookbook-style…
Descriptors: Chemistry, Science Instruction, Laboratory Experiments, Visual Aids
Fansher, Madison; Adkins, Tyler J.; Shah, Priti – Grantee Submission, 2022
Media articles often communicate the latest scientific findings, and readers must evaluate the evidence and consider its potential implications. Prior work has found that the inclusion of graphs makes messages about scientific data more persuasive (Tal & Wansink, 2016). One explanation for this finding is that such visualizations evoke the…
Descriptors: Graphs, Correlation, Visual Aids, News Reporting
Ramos Salazar, Leslie; Hayward, Stephen L. – College Teaching, 2022
The Bicycle Drawing Test (BDT) serves to identify poor memory, psychomotor deficiencies, and cognitive deficiencies. This study examined 206 students' performance on the BDT measure, text-based and graph-based questions in undergraduate-level macroeconomics courses. Correlational analyses suggest that the drawing task component of BDT is…
Descriptors: Freehand Drawing, Undergraduate Students, Economics Education, Graphs
Kirsten Brunner; Andreas Obersteiner; Timo Leuders – Educational Studies in Mathematics, 2024
Teachers' ability to accurately judge difficulties of mathematical tasks is an essential aspect of their diagnostic competencies. Although research has suggested that pedagogical content knowledge (PCK) is positively correlated with the accuracy of diagnostic judgments, experimental studies have not been conducted to investigate how PCK affects…
Descriptors: Eye Movements, Pedagogical Content Knowledge, Accuracy, Correlation
Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
José Luis Jiménez-Andrade; Ricardo Arencibia-Jorge; Miguel Robles-Pérez; Julia Tagüeña; Tzipe Govezensky; Humberto Carrillo-Calvet; Rafael A. Barrio; Kimmo Kaski – Research Evaluation, 2024
This paper analyzes the research performance evolution of a scientific institute, from its genesis through various stages of development. The main aim is to obtain, and visually represent, bibliometric evidence of the correlation of organizational changes on the development of its scientific performance; particularly, structural and leadership…
Descriptors: Organizational Change, Performance, Bibliometrics, Correlation
Joao M. Souto-Maior; Kenneth A. Shores; Rachel E. Fish – Annenberg Institute for School Reform at Brown University, 2025
Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…
Descriptors: Control Groups, Predictor Variables, Correlation, Selection Criteria
Wakhata, Robert; Balimuttajjo, Sudi; Mutarutinya, Védaste – Mathematics Teaching Research Journal, 2023
This is an exploratory study considering instructional methods in mathematics education. The study examined misconceptions arising from selected assignments undertaken by sixty-five students. The students were attending a calculus mathematical course unit on limits of functions, in different academic areas offered at selected tertiary institutions…
Descriptors: Teaching Methods, Mathematics Instruction, Misconceptions, Calculus
Çekmez, Erdem; Cevahir Bolat, Rümeysa – Acta Didactica Napocensia, 2022
The purpose of this study was to investigate the understanding of prospective elementary mathematics teachers of the formal definition of the limit of a sequence. The participants were 32 prospective mathematics teachers (8 male and 24 female) who were in their third year of study in a four-year mathematics teacher preparation programme Istanbul…
Descriptors: Elementary School Teachers, Mathematics Teachers, Preservice Teachers, Teacher Education Programs
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
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