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Andrés Rubio; Juan Carlos Oyanedel; Ferran Viñas; Javier Torres-Vallejos; Cristián Céspedes-Carreño; Danae Pedraza; Rami Benbenishty – European Journal of Psychology of Education, 2024
This study analyzed the mediating role that implicit theories of intelligence and academic self-efficacy may play in the relationship between psychopathology and mathematical performance. The sample consisted of 838 students from first and second year of high school. A numerical calculation test was applied, followed by psychopathology self-report…
Descriptors: Intelligence, Psychopathology, Self Efficacy, Academic Ability
Hidayat, Riyan; Syed Zamri, Sharifah Norul Akmar; Zulnaidi, Hutkemri – Educational Sciences: Theory and Practice, 2018
Prior studies suggested close correlations among metacognition, mastery goal, and mathematical modelling competency. The present study examines the relationship between metacognition and mastery goal that may influence mathematical modelling competency. The current study employs 538 students of a mathematics education program; among these…
Descriptors: Mastery Learning, Goal Orientation, Metacognition, Mathematical Models
Wu, Haiyan; Liang, Xinya; Yürekli, Hülya; Becker, Betsy Jane; Paek, Insu; Binici, Salih – Journal of Psychoeducational Assessment, 2020
The demand for diagnostic feedback has triggered extensive research on cognitive diagnostic models (CDMs), such as the deterministic input, noisy output "and" gate (DINA) model. This study explored two Q-matrix specifications with the DINA model in a statewide large-scale mathematics assessment. The first Q-matrix was developed based on…
Descriptors: Mathematics Tests, Cognitive Measurement, Models, Test Items
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Caemmerer, Jacqueline M.; Hajovsky, Daniel B. – Journal of Psychoeducational Assessment, 2022
The purpose of this study was to estimate the longitudinal and reciprocal predictive relations between children's social skills, measured by an adaptation of the frequently used Social Skills Rating Scale, and their standardized academic achievement. A large nationally representative sample of elementary school students were assessed at least…
Descriptors: Correlation, Longitudinal Studies, Academic Achievement, Interpersonal Competence
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Pittalis, Marios; Pitta-Pantazi, Demetra; Christou, Constantinos – Journal for Research in Mathematics Education, 2020
A theoretical model describing young students' (Grades 1-3) functional-thinking modes was formulated and validated empirically (n = 345), hypothesizing that young students' functional-thinking modes consist of recursive patterning, covariational thinking, correspondence-particular, and correspondence-general factors. Data analysis suggested that…
Descriptors: Elementary School Students, Thinking Skills, Task Analysis, Profiles
Cascella, Clelia; Williams, Julian Scott; Pampaka, Maria – European Educational Research Journal, 2022
This paper reports research into the relationship between personal and contextual variables and gendered differences in students' attainment in mathematics that take account of 'place' at different levels of intra-national locality (i.e. regional and macro-geographical levels, within the same country). A multilevel analysis performed on secondary…
Descriptors: Gender Differences, Mathematics Achievement, Correlation, Individual Characteristics
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Özdil, Selda Örs; Kutlu, Ömer – International Journal of Progressive Education, 2019
This study aimed to compare different mediation analysis methods (BK, Sobel, and bootstrapping) based on single mediation models for groups of different sizes. For this purpose, the PISA 2012 data for Turkey were used. In order to compare the mediation analysis methods, 4,848 students from Turkey that participated in PISA 2012 were divided into…
Descriptors: Literacy, Mathematics Skills, Foreign Countries, Achievement Tests
Fujita, Taro; Doney, Jonathan; Flanagan, Ruth; Wegerif, Rupert – Education 3-13, 2021
This paper reports on a study of collaborative group work in mathematics. Although collaborative group work is known as one of the important approaches in education, it is still uncertain how group thinking can be measured in various learning contexts. We used the Group Thinking Measure (GTM) test developed by [Wegerif, R., T. Fujita, J. Doney, J.…
Descriptors: Mathematics Instruction, Teaching Methods, Thinking Skills, Measures (Individuals)
Tom Swiderski; Sarah Crittenden Fuller; Kevin C. Bastian – Annenberg Institute for School Reform at Brown University, 2024
We examine the relationship between absenteeism and achievement since the onset of COVID-19. Applying first-differences models to North Carolina administrative data, we estimate that each absence was associated with a 0.0032 standard deviation (SD) decline in math achievement in 2022-23. As students averaged 3.3 more absences in 2022-23 than…
Descriptors: Correlation, Academic Achievement, COVID-19, Pandemics
Swanson, H. Lee; Fung, Wenson – Journal of Educational Psychology, 2016
This study determined the working memory (WM) components (executive, phonological short-term memory [STM], and visual-spatial sketchpad) that best predicted mathematical word problem-solving accuracy in elementary schoolchildren (N = 392). The battery of tests administered to assess mediators between WM and problem-solving included measures of…
Descriptors: Short Term Memory, Problem Solving, Accuracy, Phonology
Dirlik, Ezgi Mor – International Journal of Progressive Education, 2019
Item response theory (IRT) has so many advantages than its precedent Classical Test Theory (CTT) such as non-changing item parameters, ability parameter estimations free from the items. However, in order to get these advantages, some assumptions should be met and they are; unidimensionality, normality and local independence. However, it is not…
Descriptors: Comparative Analysis, Nonparametric Statistics, Item Response Theory, Models
Spillane, James P.; Shirrell, Matthew; Adhikari, Samrachana – Educational Evaluation and Policy Analysis, 2018
Teachers' on-the-job interactions with colleagues impact their effectiveness, yet little research has explored whether and how teacher performance predicts these interactions. Drawing on 5 years of social network data from one school district, we explore the relationship between teacher performance and teachers' instructional advice and…
Descriptors: Peer Relationship, Teacher Effectiveness, Social Networks, School Districts