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Savas Varlik – Journal of Baltic Science Education, 2025
This research is a comprehensive mixed-methods study that aims to examine in depth the correlations between science teachers' research literacy, socio-scientific reasoning, and problem-solving skills. The quantitative phase of the research was conducted using a descriptive survey method, while the qualitative phase employed a case study design.…
Descriptors: Research Skills, Scientific Literacy, School Districts, Science Teachers
Kayla Haweny; Erika I. Sodeika; Sasha B. Monaco; Morgan Botknecht; Martin Heesacker – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The aim of this paper is to evaluate whether the use of social media by college students is linked with diminished academic productivity, and if so, why? Background: In prior research, social media use was inversely related to academic productivity. We replicated that effect and tested whether depletion sensitivity, delay discounting,…
Descriptors: Social Media, Addictive Behavior, Productivity, Academic Achievement
Xavier Ochoa; Xiaomeng Huang; Yuli Shao – Journal of Learning Analytics, 2025
Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…
Descriptors: Learning Analytics, Artificial Intelligence, Computer Software, Scores
Kelli A. Bird; Benjamin L. Castleman; Yifeng Song – Journal of Policy Analysis and Management, 2025
Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models--one predicting course completion, the second predicting degree…
Descriptors: Algorithms, Technology Uses in Education, Bias, Racism
Niccolò Butti; Emilia Biffi; Romina Romaniello; Alessandra Finisguerra; Enza Maria Valente; Sandra Strazzer; Renato Borgatti; Cosimo Urgesi – Journal of Autism and Developmental Disorders, 2025
This study tested the feasibility and efficacy of a Virtual Reality (VR) social prediction training (VR-Spirit) specifically designed for patients with congenital cerebellar malformation. The study is a randomised controlled trial in which 28 cerebellar patients aged 7-25 yo were randomly allocated to the VR-Spirit or to a control intervention in…
Descriptors: Computer Simulation, Prediction, Interpersonal Competence, Children
Kaye D. Sweetser; Kalyca Lynn Becktel – Journal of Media Literacy Education, 2025
This survey (N = 579) investigated news media literacy among those likely to believe in the conspiracy theories of QAnon. Vulnerability to belief in QAnon conspiracies was predicted by a media diet of alternative media such as 4chan and SnapChat. Those vulnerable to QAnon conspiracy theories had lower news media literacy scores than those who…
Descriptors: Media Literacy, News Reporting, Misinformation, Political Attitudes
Alexandra Remon; Sara Mascheretti; Ivan Voronin; Bei Feng; Isabelle Ouellet-Morin; Mara Brendgen; Frank Vitaro; Philippe Robaey; Till F. M. Andlauer; Michel Boivin; Ginette Dionne – npj Science of Learning, 2025
Reading is a fundamental human capacity that recruits and tunes brain circuitry subserving several neurocognitive skills. Individual differences in reading-related skills are largely influenced by genetic variation. However, the molecular basis of the heritability of reading-related skills remains narrowly replicated. Genome-wide association…
Descriptors: Reading Processes, Reading Skills, Brain, Genetics
Migó, Marta; Guillory, Sylvia B.; McLaughlin, Christopher S.; Isenstein, Emily L.; Grosman, Hannah E.; Thakkar, Katharine N.; Castellanos, Francisco X.; Foss-Feig, Jennifer H. – Journal of Autism and Developmental Disorders, 2022
This study investigated motor preparation and action-consequence prediction using the lateralized readiness potential (LRP). Motor impairments are common in autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), which commonly co-occur. Alterations in predictive processes may impact motor planning. Whether motor…
Descriptors: Motor Development, Psychomotor Skills, Autism, Pervasive Developmental Disorders
Radoeva, Petya D.; Ballinger, Kristen; Ho, Theodore; Webb, Sara J.; Stobbe, Gary A. – Journal of Autism and Developmental Disorders, 2022
Autistic individuals are at risk for developing depression though the risk and protective factors for co-occurring depression in autistic individuals are not yet fully characterized. In this retrospective medical chart review study, we explored factors associated with self-reported depressive symptoms (Patient Health Questionnaire-9) in autistic…
Descriptors: At Risk Persons, Depression (Psychology), Autism, Pervasive Developmental Disorders
Chung, Kevin Kien Hoa; Li, Xiaomin; Lam, Chun Bun; Fung, Wing Kai; Liu, Catrina – Learning Disabilities Research & Practice, 2022
This study examined the co-occurrence of word reading difficulty in Chinese (L1) and English as a second language (L2) and tested language and executive functioning (EF) skills as correlates. Thirty-nine poor readers in Chinese (PC), 39 poor readers in English (PE), and 26 poor readers of both languages (PB) were compared to 39 average readers who…
Descriptors: Prediction, Native Language, Language Tests, English (Second Language)
Deho, Oscar Blessed; Zhan, Chen; Li, Jiuyong; Liu, Jixue; Liu, Lin; Duy Le, Thuc – British Journal of Educational Technology, 2022
With the widespread use of learning analytics (LA), ethical concerns about fairness have been raised. Research shows that LA models may be biased against students of certain demographic subgroups. Although fairness has gained significant attention in the broader machine learning (ML) community in the last decade, it is only recently that attention…
Descriptors: Ethics, Learning Analytics, Social Bias, Computer Software
Fay, Derek M.; Levy, Roy; Schulte, Ann C. – Journal of Experimental Education, 2022
Longitudinal data structures are frequently encountered in a variety of disciplines in the social and behavioral sciences. Growth curve modeling offers a highly extensible framework that allows for the exploration of rich hypotheses. However, owing to the presence of interrelated sources of potential data-model misfit at multiple levels, the…
Descriptors: Measurement, Models, Bayesian Statistics, Hierarchical Linear Modeling
Zhao, Qin; Wininger, Steven; Hendricks, Jillian – Australian Educational Researcher, 2022
In this study, we investigated how gender and implicit theories of mathematics and science abilities interacted to predict mathematics and science achievements in a sample of elementary (primary) school students from the United States. Study participants came from six elementary schools (Grades 2 to 5) and were a part of a larger sample that…
Descriptors: Gender Differences, Intelligence, Theories, Academic Ability
Read, Kirsten; Padula, Lily; Piacentini, Julia; Vo, Vivian – Journal of Cognition and Development, 2022
Rhyme awareness is a varied skill emerging consistently only in late preschool, yet children respond to rhythmic and phonological patterns to spontaneously complete rhymes in everyday settings. Our study replicates and extends previous work using a modified preferential looking task to test whether preschoolers can efficiently use rhyme to…
Descriptors: Rhyme, Preschool Children, Listening, Attention
Thieme, Alison; Glennie, Erin; Oddo, Perry; McCartney, Sean; Ruid, Madeline; Anand, Anupam – American Journal of Evaluation, 2022
Deforestation is an environmental stressor that dramatically threatens biodiversity while having adverse, deep-rooted, socioeconomic impacts. Interventions to address deforestation require considerable long-term investments; therefore, assessing their impact is crucial. The UN Convention on Biological Diversity encourages establishing protected…
Descriptors: Decision Support Systems, Forestry, Outcome Measures, Conservation (Environment)

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