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Jonas Weyers; Rudy Ligtvoet; Johannes König – Journal of Curriculum Studies, 2024
General pedagogical knowledge (GPK) is regarded as a central component of the competence that teachers acquire during university teacher education. However, existing research on GPK typically uses only one or two measurement points to assess development and identify influencing factors. The present study draws on an annual survey of pre-service…
Descriptors: Preschool Teachers, Pedagogical Content Knowledge, Preservice Teacher Education, Growth Models
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Xiaomei Song; Yuane Jia – Advances in Health Sciences Education, 2024
Medical educators and programs are deeply interested in understanding and projecting the longitudinal developmental trajectories of medical students after these students are matriculated into medical schools so appropriate resources and interventions can be provided to support students' learning and progression during the process. As students have…
Descriptors: Medical Education, Student Development, Medical Schools, Student Characteristics
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Matthew J. Mayhew; Christa E. Winkler; Alyssa N. Rockenbach; Renee L. Bowling – Journal of Higher Education, 2024
This paper examines the developmental trajectories of students' self-authored worldview commitments over four years of college and the reasons they offered for making associated developmental gains. Through a longitudinal, mixed methods approach, we unearthed four distinctive developmental trajectories of a nationally-representative cohort of…
Descriptors: Student Attitudes, World Views, Student Development, Diversity
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Sohyun An Kim; Connie Kasari – Journal of Autism and Developmental Disorders, 2025
While working memory (WM) is a powerful predictor for children's school outcomes, autistic children are more likely to experience delays. This study compared autistic children and their neurotypical peers' WM development over their elementary school years, including relative growth and period of plasticity. Using a nationally-representative…
Descriptors: Elementary School Students, Autism Spectrum Disorders, Students with Disabilities, Student Development
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Dong, Yixiao; Dumas, Denis; Clements, Douglas H.; Sarama, Julie – Journal of Experimental Education, 2023
Dynamic Measurement Modeling (DMM) is a recently-developed measurement framework for gauging developing constructs (e.g., learning capacity) that conventional single-timepoint tests cannot assess. The current project developed a person-specific DMM Trajectory Deviance Index (TDI) that captures the aberrance of an individual's growth from the…
Descriptors: Measurement Techniques, Simulation, Student Development, Educational Research
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Daria Khanolainen; Maria Psyridou; Kenneth Eklund; Tuija Aro; Minna Torppa – Scientific Studies of Reading, 2024
Purpose: Reading fluency establishes the basis for the strong literacy skills needed for academic success. We aim to trace how reading fluency develops from childhood to adulthood and identify factors that influence this development. Method: In this study, 200 families were followed. All participating children (N = 200, 47% female) were ethnic…
Descriptors: Reading Fluency, Growth Models, Student Development, Children
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Parker, David C.; Burns, Matthew K.; McMaster, Kristen L.; Al Otaiba, Stephanie; Medhanie, Amanuel – Assessment for Effective Intervention, 2018
The current study determined growth patterns during an 8-week writing intervention and then examined the association between growth pattern and students' initial skills as determined by instructional-level data. One hundred forty-seven first-grade students struggling with early literacy skills received a writing intervention at one of two tiers of…
Descriptors: Writing Instruction, Grade 1, Elementary School Students, Emergent Literacy
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Park, Yujeong; Seo, Dong Gi; Park, Jaekook; Kim, Byungkeon; Choi, Jeongwook – School Psychology International, 2019
The purpose of this study was to examine the associations between behavioral and emotional characteristics and middle school student achievement across different grades based on a growth modeling approach. Using a total of 1,874 students, target predictor variables (i.e., attention, aggressiveness, behavioral control, social withdrawal,…
Descriptors: Foreign Countries, Middle School Students, Student Characteristics, Student Behavior
Megan Kuhfeld; James Soland – Annenberg Institute for School Reform at Brown University, 2020
A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Researchers use longitudinal growth modeling to understand the development of students on psychological and social-emotional learning constructs across elementary and middle school. In these designs, students are typically administered a…
Descriptors: Elementary School Students, Middle School Students, Social Emotional Learning, Measurement Techniques
Betebenner, Damian W. – National Center for the Improvement of Educational Assessment, 2011
In this report, student growth percentiles and percentile growth projections/trajectories are introduced as a means of understanding student growth in both normative and a criterion referenced ways. With these values calculated, the author shows how growth data can be utilized in both a norm- and in a criterion-referenced manner to inform…
Descriptors: Academic Achievement, Growth Models, Data Analysis, Information Utilization