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Download full textHanneke Theelen; Joyce Vreuls; Jim Rutten – International Journal of Technology in Education, 2024
The rapid development of artificial intelligence and large language models (LLMs) has led to significant advancements in applying machine learning techniques across diverse disciplines, including educational science research. This study investigates the potential of LLMs like ChatGPT for qualitative data analysis, focusing on open, axial,…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Coding
Direct linkNoel Purdy; Herbert Scheithauer; Jonathan Harris; Roy A. Willems; Consuelo Mameli; Annalisa Guarini; Antonella Brighi; Damiano Menin; Catherine Culbert; Jayne Hamilton; Trijntje Völlink; Mark Ballentine; Nora Fiedler; Peter K. Smith – International Journal of Developmental Science, 2024
This original paper, based on data from the Erasmus+Blurred Lives Project, presents a new multi-dimensional categorisation model to describe negative online experiences, including forms of cyberbullying, based on a study of internet usage among over N = 2,500 adolescents with lower socio-economic status (SES) backgrounds across five European…
Descriptors: Internet, Computer Mediated Communication, Bullying, Adolescents
Dhondt, Ann; Van keer, Ines; Nijs, Sara; van der Putten, Annette; Maes, Bea – Augmentative and Alternative Communication, 2021
The aim of this study was to develop a coding scheme that enables researchers and practitioners to conduct a detailed analysis of the communicative behavior of young children with significant cognitive and motor developmental delays. Currently, there is a paucity of methods to do conduct such an analysis. For the study, video observations of three…
Descriptors: Preschool Children, Interpersonal Communication, Developmental Delays, Physical Disabilities
