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Ari Krakowski; Eric Greenwald; Natalie Roman; Christina Morales; Suzanna Loper – Journal of Research in Science Teaching, 2024
The role of computation in science is ever-expanding and is enabling scientists to investigate complex phenomena in more powerful ways and tackle previously intractable problems. The growing role of computation has prompted calls to integrate computational thinking (CT) into science instruction in order to more authentically mirror contemporary…
Descriptors: Computation, Thinking Skills, Coding, Science Instruction
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Timothy Losee; Erika D. Van Dyke; Thaddeus J. France – Physical Educator, 2024
The Tactical Games Model (TGM) is summarized as a physical education model where the emphasis is on developing the underlying core components of games and sports to develop the tactical and performance skills of participants, known as game performance (Metzler, 2011). The Sport Education Model (SEM) is a physical education model structured and…
Descriptors: Athletics, Games, Physical Education, Skill Development
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Jordan Grant; Alex J. Bowers – AERA Online Paper Repository, 2024
This case study examines the critical role school leaders play in teacher data use. Aligned with previous literature, we find that educators perceive high levels of support for data use and prefer formative data; however, observations showed a data use method unlike previously described inquiry cycles. From these findings we propose a new data use…
Descriptors: Leadership Role, Instructional Leadership, Data Use, Preferences
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Lief Esbenshade; Jonathan Vitale; Ryan S. Baker – International Educational Data Mining Society, 2024
In a number of settings risk prediction models are being used to predict distal future outcomes for individuals, including high school risk prediction. We propose a new method, non-overlapping-leave-future-out (NOLFO) validation, to be used in settings with long delays between feature and outcome observation and where there are overlapping…
Descriptors: Risk, Prediction, Models, High School Students
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Julia Martini; Mark Wade; Heather Prime; Jennifer Jenkins – Social Development, 2024
In the current paper, we examined the dimensional structure of parenting using a bifactor model of observed parenting domains during infancy. We validated our parenting dimensions by examining correlations with indicators of family well-being and child development. Data come from a longitudinal cohort that recruited a diverse sample of mothers…
Descriptors: Child Rearing, Parenting Styles, Infants, Family Environment
Yuan Fang; Lijuan Wang – Grantee Submission, 2024
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…
Descriptors: Structural Equation Models, Research Problems, Longitudinal Studies, Simulation
Lisa DaVia Rubenstein; Sydney Katherine Johnson; Allison Southworth; Gerardo Ramirez – Phi Delta Kappan, 2024
Leadership is often conceptualized and taught through famous, world-changing individuals; however, leadership spans levels of influence, from small-group projects to global initiatives. While student leaders are present at every level, existing leadership research and programs center adults. Within this article, Lisa DaVia Rubenstein, Sydney…
Descriptors: Leadership, Student Leadership, Models, Definitions
Polikoff, Morgan – Policy Analysis for California Education, PACE, 2019
California is one of just two states (with Kansas) that does not use a student-level growth model to measure school performance. This brief lays out a number of common beliefs about growth models and provides evidence that these beliefs are inaccurate or unsupported. In so doing, the brief makes a positive case that the state should adopt such a…
Descriptors: Growth Models, School Effectiveness, Accountability, Misconceptions
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Bellarhmouch, Youssra; Jeghal, Adil; Tairi, Hamid; Benjelloun, Nadia – Education and Information Technologies, 2023
Nowadays, the need for e-learning is amplified, especially after the COVID-19 pandemic. E-learning platforms present a solution for the continuity of the learning process. Learners are using different platforms and tools for learning. For this, it is necessary to model the learner for the personalization of the learning environment according to…
Descriptors: Electronic Learning, Educational Environment, Models, Individualized Instruction
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Jiang, Shiyan; Qian, Yingxiao; Tang, Hengtao; Yalcinkaya, Rabia; Rosé, Carolyn P.; Chao, Jie; Finzer, William – Education and Information Technologies, 2023
As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Artificial Intelligence
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Casillas, Marisa – Child Development Perspectives, 2023
In this article, I advocate for an enriched view of children's linguistic input, with the aim of building sustainable and tangible links between theoretical models of language development and families' everyday experiences. Children's language experiences constrain theoretical models in ways that may illuminate universal learning biases. However,…
Descriptors: Child Language, Linguistic Input, Language Acquisition, Context Effect
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Khan, Eijaz Ahmed; Cram, Andrew; Wang, Xiaoxia; Tran, Khanh; Cavaleri, Michelle; Rahman, Md Jahidur – International Journal of Educational Management, 2023
Purpose: Critically, to improve and manage online learning quality (OLQUAL), higher education providers need to regularly measure OLQUAL. Hence, a reliable measure of OLQUAL in higher education from the students' perspective is indispensable. Further, as a pioneer in examining OLQUAL outcomes in the online education context, we assert that…
Descriptors: Electronic Learning, Educational Quality, Student Satisfaction, Trust (Psychology)
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Zitter, Ashley; Rinn, Hezekiah; Szapuova, Zofia; Avila-Pons, Vanessa M.; Coulter, Kirsty L.; Stahmer, Aubyn C.; Robins, Diana L.; Vivanti, Giacomo – Journal of Autism and Developmental Disorders, 2023
There is increasing evidence supporting the effectiveness of the Early Start Denver Model (ESDM) for children on the autism spectrum. However, substantial variability in response to the ESDM has been reported across participants. We examined the plausible yet untested hypothesis that variations in the fidelity level of therapists delivering the…
Descriptors: Fidelity, Early Intervention, Models, Skill Development
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Haensel, Maria; Schmitt, Thomas M.; Bogenreuther, Jakob – Journal of Science Education and Technology, 2023
Agent-based modeling is a promising tool for familiarizing students with complex systems as well as programming skills. Human-environment systems, for instance, entail complex interdependencies that need to be considered when modeling these systems. This complexity is often neglected in teaching modeling approaches. For a heterogeneous group of…
Descriptors: Graduate Students, Foreign Countries, Programming, Models
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Bellone, Katherine M.; Elliott, Stephen C.; Hynan, Linda S.; Warren, Beth; Jarrett, Robin B. – Journal of Autism and Developmental Disorders, 2023
We conducted an open-trial proof of concept study to determine the safety, acceptability, and feasibility of Mindful Self-Care for Caregivers (MSCC) for parents of children with Autism Spectrum Disorders (ASD) (N = 13). The intervention was offered as a co-located care model in a pediatric specialty center where the participants' children received…
Descriptors: Child Caregivers, Autism Spectrum Disorders, Metacognition, Self Management
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