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Musso, Mariel F.; Cómbita, Lina M.; Cascallar, Eduardo C.; Rueda, M. Rosario – Mind, Brain, and Education, 2022
The objective of this research was to develop robust predictive models of the gains in working memory (WM) and fluid intelligence (Gf) following executive attention training in children, using genetic markers, gender, and age variables. We explore the influence of genetic variables on individual differences in susceptibility to intervention.…
Descriptors: Genetics, Artificial Intelligence, Gender Differences, Age Differences
Currier, Carrie Liu – Journal of Political Science Education, 2022
Despite often being characterized as the "model minority," Asian Pacific Americans (APAs) have several challenges when it comes to their roles in the discipline of political science. Even the categorization of APAs as a single entity runs into problems when we consider the many countries that constitute Asia and the distinct experiences…
Descriptors: Models, Minority Groups, Asian Americans, Pacific Islanders
Parhizkar, Amirmohammad; Tejeddin, Golnaz; Khatibi, Toktam – Education and Information Technologies, 2023
Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…
Descriptors: Algorithms, Grade Point Average, Interdisciplinary Approach, Prediction
Bülthoff, Isabelle; Zhao, Mintao – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Many studies have demonstrated that we can identify a familiar face on an image much better than an unfamiliar one, especially when various degradations or changes (e.g., image distortions or blurring, new illuminations) have been applied, but few have asked how different types of facial information from familiar faces are stored in memory. Here…
Descriptors: Memory, Classification, Human Body, Self Concept
Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
Tabatabaee-Yazdi, Mona – SAGE Open, 2020
The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to…
Descriptors: Diagnostic Tests, Classification, Models, Reading Comprehension
Stocker, Joana; Abu-Hilal, Maher; Hermena, Ehab; AlJassmi, Maryam; Barbato, Mariapaola – Educational Psychology, 2021
This study aims at testing the generalisability of Marsh's Internal/External (I/E) frame of reference model as well as its Dimensional Comparison Theory (DCT) extension in a sample of United Arab Emirates (UAE) high school students. Relationship between self-concept and achievement in Arabic, English and mathematics were explored. A sample of 990…
Descriptors: Arabs, High School Students, Self Concept, Academic Achievement
Cen, Ling; Ruta, Dymitr; Powell, Leigh; Hirsch, Benjamin; Ng, Jason – International Journal of Computer-Supported Collaborative Learning, 2016
The benefits of collaborative learning, although widely reported, lack the quantitative rigor and detailed insight into the dynamics of interactions within the group, while individual contributions and their impacts on group members and their collaborative work remain hidden behind joint group assessment. To bridge this gap we intend to address…
Descriptors: Cooperative Learning, Statistical Analysis, Group Dynamics, Group Activities
Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Libarkin, Julie C.; Thomas, Stephen R.; Ording, Gabriel – International Journal of Science Education, 2015
Exploratory factor analysis was used to identify models underlying drawings of the greenhouse effect made by over 200 entering university freshmen. Initial content analysis allowed deconstruction of drawings into salient features, with grouping of these features via factor analysis. A resulting 4-factor solution explains 62% of the data variance,…
Descriptors: Factor Analysis, Freehand Drawing, Attitude Measures, Models
Zeidenberg, Matthew; Scott, Marc; Belfield, Clive – Center for Analysis of Postsecondary Education and Employment, 2015
Of the copious research on the labor market returns to college, very little has adequately modeled the pathways of non-completers or compared their outcomes with those of award holders. In this paper, we present a novel method for linking non-completers with completers according to their program of study. This method allows us to calculate the…
Descriptors: Community Colleges, Outcomes of Education, Education Work Relationship, Labor Market
Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Mamah, Daniel; Owoso, Akinkunle; Mbwayo, Anne W.; Mutiso, Victoria N.; Muriungi, Susan K.; Khasakhala, Lincoln I.; Barch, Deanna M.; Ndetei, David M. – Child Psychiatry and Human Development, 2013
Psychotic-like experiences (PLEs) have been observed worldwide in both adults and children outside the context of a clinical disorder. In the current study, we investigate the prevalence and patterns of PLEs among children and adolescents in Kenya. Among 1,971 students from primary and secondary schools around Nairobi (aged 8-19), 22.1 % reported…
Descriptors: Psychosis, Children, Adolescents, Elementary School Students
Del Giudice, Marco; Hinnant, J. Benjamin; Ellis, Bruce J.; El-Sheikh, Mona – Developmental Psychology, 2012
The adaptive calibration model (ACM) is an evolutionary-developmental theory of individual differences in stress responsivity. In this article, we tested some key predictions of the ACM in a middle childhood sample (N = 256). Measures of autonomic nervous system activity across the sympathetic and parasympathetic branches validated the 4-pattern…
Descriptors: Anatomy, Stress Variables, Models, Evolution
Raman, Raghu; Venkatasubramanian, Smrithi; Achuthan, Krishnashree; Nedungadi, Prema – ACM Transactions on Computing Education, 2015
Computer science (CS) and its enabling technologies are at the heart of this information age, yet its adoption as a core subject by senior secondary students in Indian schools is low and has not reached critical mass. Though there have been efforts to create core curriculum standards for subjects like Physics, Chemistry, Biology, and Math, CS…
Descriptors: Foreign Countries, Computer Science Education, Classification, Models