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Noel 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
F. Paul Wonsavage; Samuel Otten; Amber G. Candela; Zandra de Araujo – International Journal of Research & Method in Education, 2025
Classroom observations are an integral part of qualitative educational research. Traditionally, classroom observations have been done in-person, with one or more researchers being physically present in a classroom to observe and take field notes. With the proliferation of video technology, researchers are now able to conduct classroom observations…
Descriptors: Observation, Classroom Observation Techniques, Educational Research, Video Technology
Toma, Radu Bogdan – Technology, Knowledge and Learning, 2023
The development of computational thinking skills is attracting attention worldwide. The use of visual or block-based coding in primary schools has gained momentum. Yet, students' acceptance of such coding environments has been neglected in the literature. This study presents a measurement instrument that will allow pursuing such an endeavor. The…
Descriptors: Computation, Thinking Skills, Coding, Measurement
Mayer, Christian W. F.; Ludwig, Sabrina; Brandt, Steffen – Journal of Research on Technology in Education, 2023
This study investigates the potential of automated classification using prompt-based learning approaches with transformer models (large language models trained in an unsupervised manner) for a domain-specific classification task. Prompt-based learning with zero or few shots has the potential to (1) make use of artificial intelligence without…
Descriptors: Prompting, Classification, Artificial Intelligence, Natural Language Processing
Price, Heather E.; Smith, Christian – Field Methods, 2021
To identify the dominant cultural models among parents transmitting faith to their children, we find few methodological guidelines to guide coding and analysis of semi-structured interviews. We thus developed a three-phase procedure for our research team. Phase-one follows Campbell et al. by unitizing on meanings rather than words/pages, including…
Descriptors: Semi Structured Interviews, Parents, Religion, Reliability
Flynn, Erin; Motiff, Marisa; Mueller, Megan K.; Morris, Kevin N. – International Journal of Behavioral Development, 2023
Emotion regulation is a key developmental skillset, but many existing measures rely on self-report or laboratory-based measurement approaches. This study aimed to develop a training and implementation protocol for the widely used Facial Expression Coding System (FACES) to be used in real-world settings with pre-recorded video data. A revised…
Descriptors: Middle School Students, Special Education, Nonverbal Communication, Training
Aaron Hogue; Nicole Porter; Molly Bobek; Alexandra MacLean; Lila Bruynesteyn; Amanda Jensen-Doss; Sarah Dauber; Craig E. Henderson – Administration and Policy in Mental Health and Mental Health Services Research, 2022
A foundational strategy to promote implementation of evidence-based interventions (EBIs) is providing EBI training to therapists. This study tested an online training system in which therapists practiced observational coding of mock video vignettes demonstrating family therapy techniques for adolescent behavior problems. The study compared…
Descriptors: Electronic Learning, Allied Health Personnel, Observation, Cognitive Processes
Unahalekhaka, Apittha; Bers, Marina Umaschi – Education and Information Technologies, 2022
Project-based assessment has been used to evaluate coding projects created by students for a long time. Nevertheless, there is a lack of rigorously tested project-based coding rubrics that are developmentally appropriate for early childhood. This study presented the development and testing of a coding rubric to evaluate children's creations with…
Descriptors: Elementary School Students, Grade 1, Grade 2, Student Projects
Diane A. Ogiela; Sarah A. Aldrich – Teaching and Learning in Communication Sciences & Disorders, 2023
Although language sample analysis (LSA) is considered an important tool for high-quality child language assessment, surveys have found that its use is quite limited by school-based speech-language pathologists (SLPs). Two of the reasons often cited are limited time and limited expertise (Kemp & Klee, 1997; Pavelko et al., 2016). This study…
Descriptors: Speech Language Pathology, Communication Disorders, Allied Health Occupations Education, Transcripts (Written Records)
Ng, Oi-Lam; Ni, Yujing; Shi, Lian; Chen, Gaowei; Cui, Zhihao – Journal of Education for Teaching: International Research and Pedagogy, 2021
This paper documents the process and outcome of the development and validation of a coding scheme to analyse mathematics classroom discourse in the context of Hong Kong primary schools. The objective of this coding scheme was to systematically analyse teacher discourse behaviours before and after an intervention programme; the programme aimed to…
Descriptors: Mathematics Instruction, Intervention, Discourse Analysis, Foreign Countries