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Gregory M. Hurtz; Regi Mucino – Journal of Educational Measurement, 2024
The Lognormal Response Time (LNRT) model measures the speed of test-takers relative to the normative time demands of items on a test. The resulting speed parameters and model residuals are often analyzed for evidence of anomalous test-taking behavior associated with fast and poorly fitting response time patterns. Extending this model, we…
Descriptors: Student Reaction, Reaction Time, Response Style (Tests), Test Items
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Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
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Iris Menu; Lanxin Ji; Tanya Bhatia; Mark Duffy; Cassandra L. Hendrix; Moriah E. Thomason – Child Development, 2025
Preterm birth poses a major public health challenge, with significant and heterogeneous developmental impacts. Latent profile analysis was applied to the National Institutes of Health Toolbox performance of 1891 healthy prematurely born children from the Adolescent Brain and Cognitive Development study (970 boys, 921 girls; 10.00 ± 0.61 years;…
Descriptors: Child Development, Premature Infants, Cognitive Development, Scores
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Caitlin M. Hudac; Nicole R. Friedman; Victoria R. Ward; Rachel E. Estreicher; Grace C. Dorsey; Raphael A. Bernier; Evangeline C. Kurtz-Nelson; Rachel K. Earl; Evan E. Eichler; Emily Neuhaus – Journal of Autism and Developmental Disorders, 2024
We aimed to identify unique constellations of sensory phenotypes for genetic etiologies associated with diagnoses of autism spectrum disorder (ASD) and intellectual disability (ID). Caregivers reported on sensory behaviors via the Sensory Profile for 290 participants (younger than 25 years of age) with ASD and/or ID diagnoses, of which…
Descriptors: Genetics, Etiology, Comparative Analysis, Profiles
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Basak Erdem Kara – International Electronic Journal of Elementary Education, 2025
Achievement tests are commonly used in education to evaluate students' academic performance and proficiency in specific subject areas. However, there is a major problem that threatens the validity of achievement test scores which is test-taking disengagement. Respondents provide answers that are inconsistent with their true ability level and can…
Descriptors: International Assessment, Secondary School Students, Foreign Countries, Achievement Tests
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Emily Theophilou; Davinia Hernández-Leo; Vicenç Gómez – Journal of Computer Assisted Learning, 2024
Background: Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this…
Descriptors: Gender Differences, Social Media, Learner Engagement, Foreign Countries
Majumdar, Rwitajit; Bakilapadavu, Geetha; Majumder, Reek; Chen, Mei-Rong Alice; Flanagan, Brendan; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2021
This study investigates learner's reading behaviors in a critical reading task in humanities course using learning analytics techniques. "A Critical Analysis of Literature and Cinema" course was selected as a context. The course activities evolved over 10 years, and for this instance, some face-to-face classroom critical reading…
Descriptors: Learning Analytics, Humanities, Critical Reading, Electronic Publishing
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Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
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Itahisa Mulero-Henríquez; Rocío Pérez-Solís; Samuel Falcon – Education and Information Technologies, 2024
High levels of Internet usage are prevalent among young people. Alongside this increased use, dangerous attitudes and practices among students have been observed. This study aimed to analyse the use of Information and Communication Technologies (ICT) among high school students, their attitudes, and the relationship with gender. A sample of 869…
Descriptors: Internet, Gender Differences, Student Attitudes, Bullying
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Tekin, Isil; Aydin, Selami – International Journal of Adult Education and Technology, 2022
Well-being is vital for university students regarding their short-term aims and long-term benefits in their academic, social, and professional lives. It is also evident that Instagram usage may relate to their well-being regarding relationships, connectedness, loneliness, interactions, socialization, social comparison, and emotional contagion.…
Descriptors: Well Being, Social Media, Student Behavior, Undergraduate Students
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Zhou, Yiqiu; Kang, Jina – International Educational Data Mining Society, 2022
The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…
Descriptors: Astronomy, Problem Solving, Science Instruction, Cooperative Learning
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Langlais, Michael R.; Seidman, Gwendolyn; Bruxvoort, Kyla M. – Youth & Society, 2020
Despite the consistent, high use of Facebook among adolescents, few studies have examined how adolescents use Facebook when forming and maintaining romantic relationships. Based on the Internet-enhanced self-disclosure hypothesis, romantic relationship-oriented Facebook behaviors are likely to relate to adolescent self-esteem. The goal of this…
Descriptors: Social Media, Self Esteem, Intimacy, Interpersonal Relationship
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Wagle, Rhea; Dowdy, Erin; Nylund-Gibson, Karen; Sharkey, Jill D.; Carter, Delwin; Furlong, Michael J. – Educational and Developmental Psychologist, 2021
Introduction: The investigation of school belonging is crucial due to its established significant associations with mental health, academic achievement, and risky behaviours coupled with the limited research documenting the configurations of children's school belonging experiences. Objective: This study sought to better understand elementary…
Descriptors: Mental Health, Student School Relationship, Elementary School Students, Student Attitudes
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Gafarov, Fail M.; Nikolaev, Konstantin S.; Ustin, Pavel N.; Berdnikov, Andrey A.; Zakharova, Valeria L.; Reznichenko, Sergey A. – EURASIA Journal of Mathematics, Science and Technology Education, 2021
The development and improvement of effective tools for predicting human behavior in real life through the features of its virtual activity opens up broad prospects for psychological support of the individual. The presence of such tools can be used by psychologists in educational, professional and other areas in the formation of trajectories of…
Descriptors: Social Media, Social Networks, Behavior Patterns, Prediction
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Wang, Ling – Journal of Educational Multimedia and Hypermedia, 2021
Running records is an important reading assessment for diagnosing early readers' needs in diverse instructional settings across grade levels. This study develops an innovative app to help teachers administer running records assessment and investigates teachers' perceptions of its functionality and usability in practical classrooms. The app offers…
Descriptors: Miscue Analysis, Reading Comprehension, Reading Tests, Computer Software
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