- Early Childhood Education and Development
- Statistical Methods and Bayesian Inference
- Behavioral and Psychological Studies
- Advanced Causal Inference Techniques
- Natural Language Processing Techniques
- Child and Adolescent Psychosocial and Emotional Development
- Educational Methods and Analysis
- Psychometric Methodologies and Testing
- Statistical Methods in Clinical Trials
- Autism Spectrum Disorder Research
- Optimal Experimental Design Methods
- Child Development and Digital Technology
- Parental Involvement in Education
- Knowledge Management and Sharing
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Reading and Literacy Development
- Cognitive Science and Mapping
- Cognitive and developmental aspects of mathematical skills
- Mental Health Research Topics
- Topic Modeling
- Evaluation of Teaching Practices
- Text Readability and Simplification
- Autonomous Vehicle Technology and Safety
- Music Education and Analysis
Ege University
2020-2024
Leuphana University of Lüneburg
2022-2024
Recep Tayyip Erdoğan University
2015-2020
Kent Hastanesi
2018-2019
University of Florida
2014
Scientific and Technological Research Council of Turkey
2014
Concerns about the veracity of psychological research have been growing. Many findings in science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings populations. Crowdsourced research, a type large-scale collaboration which one more projects conducted across multiple lab sites, offers pragmatic solution these other current methodological challenges. The Psychological Science Accelerator...
Concerns have been growing about the veracity of psychological research. Many findings in science are based on studies with insufficient statistical power and nonrepresentative samples, or may otherwise be limited to specific, ungeneralizable settings populations. Crowdsourced research, a type large-scale collaboration which one more research projects conducted across multiple lab sites, offers pragmatic solution these other current methodological challenges. The Psychological Science...
Automated scoring (AS) has gained significant attention as a tool to enhance the efficiency and reliability of assessment processes. Yet, its application in low-resource languages, such Turkish, remains limited. This study addresses this gap by empirically evaluating AS for Turkish using zero-shot approach with rubric powered OpenAI’s GPT-4o. A dataset 590 essays written learners second language was scored professional human raters an artificial intelligence (AI) model integrated via...
Inclusion of young children with disabilities into general education classrooms is a common practice that has been implemented for many years in developed countries around the world and developing have creating implementing laws regulations to support inclusive early years. Although extant literature includes commonly agreed definition inclusion, implementation practices varies across countries. A critical factor successful teachers' attitudes towards inclusion disabilities. The purpose this...
Aggregated data meta-analyses indicate a correlation between instructional leadership and student achievement. However, it is unclear to what extent this relationship can be generalized across cultural contexts, as most primary studies stem from Anglophone regions. Drawing on international large-scale assessment data, 3-level individual participant (IPD) meta-analysis examines over 6-year period using sample of 1.5 million students in more than 50,000 schools 75 countries. The findings show...
Healthy development of social-emotional competence in early childhood years creates a strong foundation for future academic success and well-being.The purpose this descriptive study was to investigate preschool teachers' use strategies support young children's competence.A total 103 teachers classrooms participated the study.Descriptive findings indicated that implemented few practices promote children absence training professional support.Preschool were observed implement universal...
High-quality IEP goals developed based on a comprehensive assessment of child functioning are more likely to result in individualisation services and improved learning outcomes for students with disabilities. This study investigated the impact training programme quality individualised education (IEP) written by Turkish special preservice teachers examined whether participants could transfer goal writing skills from in-service settings. A total 44 participated were randomly assigned...
In longitudinal data collection, it is common that each wave of collection spans several months. However, researchers using latent growth models commonly ignore variability in occasions within a wave. this study, we investigated the consequences ignoring within-wave measurement Monte Carlo simulation and an empirical study. The results study showed heterogeneity resulted biased estimates for some parameters, especially when was large assessment dates had skewed distribution. Models...
Purpose In organisational and innovation research, the term “open innovation” refers to inflow outflow of knowledge from organisations: with open theory suggesting active exchanges external actors leads development exploitable new ideas. field education, however, exchange parties represents a paradigm shift. response, this article presents findings research design explore nature composition school networks, effects such these networks on mobilisation. Design/methodology/approach The study...
Stephen W. Smitha*, Ann P. Daunica, Burak Aydinb, Christopher L. Van Loanc, Brian R. Barberd & Gregory G. Taylore | Lisa Bowman-Perrott Associate Editora University of Floridab Recep Tayyip Erdoğan Universityc Appalachian State Universityd Kent Universitye IllinoisStephen Smith is a professor in the Special Education Program, College Education, Florida, Gainesville, Florida.Ann Daunic scholar Florida.Burak Aydin an assistant professor, Department Educational Sciences, University, Rize,...
Croon and van Veldhoven discussed a model for analyzing micro–macro multilevel designs in which variable measured at the upper level is predicted by an explanatory that lower level. Additionally, authors proposed approach estimating this model. In their approach, estimation carried out running regression analysis on Bayesian Expected Posterior (EAP) estimates. article, we present extension of to interaction quadratic effects variables. Specifically, define EAPs, discuss way them, show how...
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power detect the treatment effect. compared multilevel that included either an observed mean or a latent as covariate, well effect Level 1 deviation scores model. A Monte Carlo simulation study was performed manipulating sizes, number clusters, intraclass correlation outcome, patterns missing data, and squared correlations between 2 outcome. found no substantial difference with means...
Abstract In this study we utilized data from the Programme for International Student Assessment (PISA) to investigate differences in schools’ average mathematics scores by treating intraclass correlation coefficient (ICC) as a measure of educational inequality. We computed ICCs both with unconditional and conditional multilevel models 79 PISA 2018 participating countries meta-analyzed results. There are two main purposes study; quantify inequality after controlling common PISA-variables...
This Monte Carlo simulation study compares methods to estimate the effects of programs with multiple versions when assignment individuals program version is not random. These use generalized propensity scores, which are predicted probabilities receiving a particular level treatment conditional on covariates, remove selection bias. The results indicate that inverse probability weighting (IPTW) removes most bias, followed by optimal full matching (OFM), and marginal mean through stratification...
The purpose of this paper is to examine the role media literacy and attitudes towards socioscientific issues as two major predictors informal reasoning. A sample 208 preservice science teachers completed an open-ended reasoning questionnaire on hydroelectric power plant issue, level determination scale, socio-scientific scale. In study, descriptive research method was used. We used both qualitative quantitative methods analyze data. Results indicated that participants frequently...
Background: Propensity score analysis (PSA) is a popular method to remove selection bias due covariates in quasi-experimental designs, but it requires handling of missing data on before propensity scores are estimated. Multiple imputation (MI) and single (SI) approaches handle PSA. Objectives: The objectives this study review MI-within, MI-across, SI prior PSA, investigate the robustness MI-across with Monte Carlo simulation study, demonstrate PSA step-by-step illustrative example. Research...
Education researchers, policy makers, and practitioners have emphasized the role that social-emotional learning self-regulation play in children’s adjustment connection to school, particularly as they transition from pre-school kindergarten primary grades. A pretest–posttest cluster-randomized efficacy trial of Social-Emotional Learning Foundations (SELF) curriculum for kindergarten–first-grade students found positive main effects on assessments self-regulation, learning, vocabulary, general...