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Cortney DiRussa; Samantha Coyle-Eastwick; Britney Jeyanayagam – International Journal of Bullying Prevention, 2025
Bullying victimization is a school problem that warrants attention. While most work has focused on understanding bullies and victims, it is important that research explore how to promote bystander behavior during bullying as a mechanism to deter bullying in schools. Perceptions of the school climate may impact the likelihood of a student's…
Descriptors: Bullying, Intervention, Middle School Students, Prevention
Kennedy Kam Ho Chan; David Siu Pan Lau; Jan van Driel – Science Education, 2025
Cultivating in preservice science teachers (PSTs) the competence required to teach scientific models and modeling is a valued outcome of teacher preparation programs. However, science teacher educators face inherent tensions when designing and implementing teacher preparation experiences to achieve this outcome. In this systematic review, we first…
Descriptors: Preservice Teachers, Teacher Education, Teacher Educators, Science Teachers
Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
Yidnekachew Awraris Kebede; Firew Kebede Zema; Girma Moti Geletu; Samuel Assefa Zinabu – SAGE Open, 2025
The jigsaw model is a dynamic cooperative learning approach where students become experts on different segments of the material and teach their peers, thereby enhancing engagement accountability, team work, and ultimately improving academic achievement. This study investigated the effectiveness of a cooperative learning strategy on secondary…
Descriptors: Foreign Countries, Cooperative Learning, Science Achievement, Biology
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Funda Ulugöl; Sezgin Vuran – Educational Policy Analysis and Strategic Research, 2025
This study aimed to compare the effectiveness and efficiency of the model-lead-test (MLT) and video modeling (VM) methods in teaching individuals with ID how to access and use the services provided by the Turkish state in digital environments. Four individuals participated in the study, in which the adapted alternating treatments design, one of…
Descriptors: Teaching Methods, Intellectual Disability, Technological Literacy, Citizenship
Megan Rojo; Sarah G. King; Jenna Gersib; Christian T. Doabler – Learning Disability Quarterly, 2025
Competence with rational numbers is essential for mathematics proficiency in secondary mathematics. However, many students struggle with rational number concepts, and students with mathematics difficulties struggle even more. The purpose of this study was to examine the effects of an intervention that incorporated the use of explicit instruction…
Descriptors: Mathematics Instruction, Intervention, Direct Instruction, Models
Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
Michael R. Brudzinski; Thomas F. Shipley; Joy Ham – Journal of Geoscience Education, 2025
Recent studies have identified an incomplete student understanding of how elastic rebound causes earthquakes. We hypothesized that realistic imaging of spatial patterns in ground motions over the course of the earthquake cycle would improve student understanding. Incorporating spatial change information in the form of both motion vectors and…
Descriptors: Natural Disasters, Concept Formation, Geographic Information Systems, Undergraduate Students
Natalie S. Pak; Tatiana Nogueira Peredo; Ana Paula Madero Ucero; Ann P. Kaiser – Journal of Autism and Developmental Disorders, 2025
The primary purpose of the current pilot study was to test the effects of an adapted and collaborative intervention model with a systematic teaching approach on Latina Spanish-speaking caregivers' use of "EMT en Español Para Autismo" strategies with their young children on the autism spectrum. A multiple baseline across behaviors single…
Descriptors: Hispanic Americans, Child Caregivers, Caregiver Child Relationship, Language Acquisition
Joseph A. Hogan – Journal of Research in Special Educational Needs, 2025
The Individuals with Disabilities Education Improvement Act (2004) allows alternate pathways for school districts to identify and classify students with a specific learning disability (SLD). Response to Intervention (RtI) is one of the frameworks schools can use when eliminating the use of the discrepancy model. The premise of RtI posits that…
Descriptors: Response to Intervention, Students with Disabilities, Learning Disabilities, Classification
Kai Zhuang Shum; Emily Barry; Sarah M. Kiefer; Sarah Fefer; Shannon M. Suldo; Kristen E. Mahony-Atallah; John Ferron; Jacqueline Blass; Letty L. DiLeo; Hallie Lothrop; Nicolette Bauermeister – Contemporary School Psychology, 2025
As the youth mental health crisis continues to worsen, there is a need for more evidence-based social-emotional interventions that can be applied in schools -- the setting in which youth are most likely to seek and receive mental health treatment (Simon et al., 2015). Further, exploring ways to culturally adapt interventions for marginalized…
Descriptors: Psychology, Well Being, Mental Health, Evidence Based Practice
Tzvika Mor; Eliana M. Moreno – Educational Process: International Journal, 2025
Background/purpose: This research aims to examine the effect of a Cognitive-Behavioral Coaching (CBC) model on the academic performance of adolescents with attention deficit hyperactivity disorder (ADHD) and to analyze the relationship between academic performance, self-esteem, and relationship with parents. Materials/methods: The sample comprised…
Descriptors: Behavior Change, Cognitive Restructuring, Coaching (Performance), Models
Joseph C. Y. Lau; Emily Landau; Qingcheng Zeng; Ruichun Zhang; Stephanie Crawford; Rob Voigt; Molly Losh – Autism: The International Journal of Research and Practice, 2025
Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…
Descriptors: Artificial Intelligence, Models, Pragmatics, Language Variation