Burak Aydın

ORCID: 0000-0003-4462-1784
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About
Contact & Profiles
Research Areas
  • 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

Hannah Moshontz Lorne Campbell Charles R. Ebersole Hans IJzerman Heather L. Urry and 92 more Patrick S. Forscher Jon Grahe Randy J. McCarthy Erica D. Musser Jan Antfolk Christopher M. Castille Thomas Rhys Evans Susann Fiedler Jessica Kay Flake Diego A. Forero Steve M. J. Janssen Justin Robert Keene John Protzko Balázs Aczél Sara Álvarez Solas Daniel Ansari Dana Awlia Ernest Baskin Carlota Batres Martha Lucia Borras-Guevara Cameron Brick Priyanka Chandel Armand Chatard William J. Chopik David Clarance Nicholas A. Coles Katherine S. Corker Barnaby Dixson Vilius Dranseika Yarrow Dunham Nicholas W. Fox Gwendolyn Gardiner S. Mason Garrison Tripat Gill Amanda Hahn Bastian Jaeger Pavol Kačmár Gwenaêl Kaminski Philipp Kanske Zoltán Kekecs Melissa Kline Monica A. Koehn Pratibha Kujur Carmel Levitan Jeremy K. Miller Ceylan Okan Jerome Olsen Óscar Oviedo-Trespalacios Asil Ali Özdoğru Babita Pande Arti Parganiha Noorshama Parveen Gerit Pfuhl Sraddha Pradhan Ivan Ropovik Nicholas O. Rule Blair Saunders Vidar Schei Kathleen Schmidt Margaret Messiah Singh Miroslav Sirota Crystal N. Steltenpohl Stefan Stieger Daniel Storage Gavin Brent Sullivan Anna Szabelska Christian K. Tamnes Miguel A. Vadillo Jaroslava Varella Valentová Wolf Vanpaemel Marco Antônio Corrêa Varella Evie Vergauwe Mark Verschoor Michelangelo Vianello Martin Voracek Glenn Patrick Williams John Paul Wilson Janis Zickfeld Jack Arnal Burak Aydın Sau-Chin Chen Lisa M. DeBruine Ana María Fernández Kai T. Horstmann Peder Mortvedt Isager Benedict C. Jones Aycan Kapucu Hause Lin Michael C. Mensink Gorka Navarrete Miguel Alejandro A. Silan Christopher R. Chartier

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...

10.1177/2515245918797607 article EN Advances in Methods and Practices in Psychological Science 2018-10-01
Hannah Moshontz Lorne Campbell Charles R. Ebersole Hans IJzerman Heather L. Urry and 92 more Patrick S. Forscher Jon Grahe Randy J. McCarthy Erica D. Musser Jan Antfolk Christopher M. Castille Thomas Rhys Evans Susann Fiedler Jessica Kay Flake Diego A. Forero Jan Janssen Justin Robert Keene John Protzko Balázs Aczél Sara Álvarez Solas Daniel Ansari Dana Awlia Ernest Baskin Carlota Batres Martha Lucia Borras-Guevara Cameron Brick Priyanka Chandel Armand Chatard William J. Chopik David Clarance Nicholas A. Coles Katherine S. Corker Barnaby Dixson Vilius Dranseika Yarrow Dunham Nicholas Fox Gwendolyn Gardiner S. Mason Garrison Tripat Gill Amanda Hahn Bastian Jaeger Pavol Kačmár Gwenaêl Kaminski Philipp Kanske Zoltán Kekecs Melissa Kline Monica A. Koehn Pratibha Kujur Carmel Levitan Jeremy K. Miller Ceylan Okan Jerome Olsen Óscar Oviedo-Trespalacios Asil Ali Özdoğru Babita Pande Arti Parganiha Noorshama Parveen Gerit Pfuhl Sraddha Pradhan Ivan Ropovik Nicholas Rule Blair Saunders Vidar Schei Kathleen Schmidt Margaret Messiah Singh Miroslav Sirota Crystal Steltenpohl Stefan Stieger Daniel Storage Gavin Brent Sullivan Anna Szabelska Christian K. Tamnes Miguel A. Vadillo Jaroslava Varella Valentová Wolf Vanpaemel Marco Antônio Corrêa Varella Evie Vergauwe Mark Verschoor Michelangelo Vianello Martin Voracek William Williams John Paul Wilson Jan Zickfeld Daniel Arnal Burak Aydın Sau-Chin Chen Lisa M. DeBruine Ana María Fernández Kai T. Horstmann Peder Mortvedt Isager Jon Jones Aycan Kapucu Hause Lin Michael C. Mensink Gorka Navarrete Philipp Silan Christopher R. Chartier

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...

10.31234/osf.io/785qu preprint EN 2018-04-03

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...

10.31234/osf.io/vtysd_v1 preprint EN 2025-02-27

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...

10.1080/13603116.2016.1159254 article EN International Journal of Inclusive Education 2016-03-21

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...

10.3102/01623737231197434 article EN cc-by Educational Evaluation and Policy Analysis 2023-10-02

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...

10.20489/intjecse.454103 article EN International Journal of Early Childhood Special Education 2018-08-16

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...

10.1080/08856257.2024.2314423 article EN European Journal of Special Needs Education 2024-02-10

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...

10.1080/00273171.2014.887901 article EN Multivariate Behavioral Research 2014-03-01

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...

10.1108/jpcc-02-2023-0012 article EN cc-by Journal of Professional Capital and Community 2023-07-26

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,...

10.17105/spr45-1.73-92 article EN School Psychology Review 2016-03-01

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...

10.3390/math10050842 article EN cc-by Mathematics 2022-03-07

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...

10.1177/0013164415618705 article EN Educational and Psychological Measurement 2015-11-27

10.1080/15391523.2024.2398528 article EN cc-by Journal of Research on Technology in Education 2024-09-10

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...

10.21203/rs.3.rs-4066275/v1 preprint EN cc-by Research Square (Research Square) 2024-03-11

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...

10.1080/00220973.2017.1409179 article EN The Journal of Experimental Education 2018-01-03

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...

10.46328/ijres.v6i4.1204 article EN International Journal of Research in Education and Science 2020-09-19

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...

10.1177/0193841x211020245 article EN Evaluation Review 2021-06-22

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...

10.1177/01987429231185098 article EN Behavioral Disorders 2023-07-31
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