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Estel Malgosa; Bruna Alvarez; Diana Marre – Sex Education: Sexuality, Society and Learning, 2024
Until December 2020, Spanish primary schools were not required to provide any kind of sexuality education, and most teachers did not receive training to carry it out. However, sexuality is clearly present in children's daily lives in school. We carried out qualitative research with teachers from four primary schools in Catalonia (Spain), aiming to…
Descriptors: Foreign Countries, Sexuality, Student Behavior, Privacy
Martin Hermida; Raffael Meier; Iwan Schrackmann; Nina Imlig-Iten; Eva Marinus – Journal of Media Literacy Education, 2024
Safeguarding personal digital data is crucial and requires appropriate training. However, privacy remains a novel topic, leaving teachers with limited guidance. This study investigates how elementary school students perceive personal data and assesses pre-service teachers' accuracy in predicting children's responses. Employing Nissenbaum's…
Descriptors: Student Records, Elementary School Students, Sharing Behavior, Privacy
Calatrava, Maria; de Irala, Jokin; Osorio, Alfonso; Benítez, Edgar; Lopez-del Burgo, Cristina – Educational and Psychological Measurement, 2022
Anonymous questionnaires are frequently used in research with adolescents in order to obtain sincere answers about sensitive topics. Most longitudinal studies include self-generated identification codes (SGICs) to match information. Typical elements include a combination of letters and digits from personal data. However, these data may make the…
Descriptors: Privacy, Questionnaires, Coding, Adolescents
Hsiao-Ping Hsu; Janice Mak; Jennifer Werner; Janel White-Taylor; Melissa Geiselhofer; Alan Gorman; Carolina Torrejon Capurro – Journal of Technology and Teacher Education, 2024
As part of an international collaborative design-based research initiative, this study examines the applications and perceptions of generative artificial intelligence (Gen AI) among pre-service primary teachers within an Irish educational program. It focuses on how personal and academic uses of Gen AI influence their perceptions of using Gen AI…
Descriptors: Lesson Plans, Student Attitudes, Artificial Intelligence, Teacher Education Programs
Alison Eber – ProQuest LLC, 2022
The purpose of this qualitative study was to explore how elementary teachers use different social media platforms to connect with other teachers for informal professional learning. The researcher sought to understand how elementary teachers decide which platform(s) to use and how their expectations vary among different social media platforms.…
Descriptors: Social Media, Faculty Development, Informal Education, Teacher Attitudes
Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
Parczewska, Teresa – Education 3-13, 2023
The article presents the results of a large-scale Polish project aimed at examining the quality of early childhood education and care using the SACERS research tool. Although the SACERS scale consists of 47 items, this article focuses mainly on the data concerning the assessment of space and furnishings of 140 school common rooms in terms of the…
Descriptors: Foreign Countries, Early Childhood Education, Classroom Environment, Rating Scales
Ferguson, Daniel E.; Nichols, T. Philip – International Journal of Qualitative Studies in Education (QSE), 2021
In field-based research, masking practices, as well as the general practice of relegating historical context to abstracted 'site descriptions' in a paper's methodology section, can produce a tacit inattention to historical specificity. By juxtaposing two case studies of schools, this article examines the ways school sites are haunted by…
Descriptors: Privacy, Educational Research, History, Qualitative Research
Florence Martin; Doreen Mushi; Siyu Long; Julie Bacak; Drew Polly; Weichao Wang; Lynn Ahlgrim-Delzell – Journal of Technology and Teacher Education, 2024
Digital safety involves protecting oneself, and one's personal information to mitigate the risks that are inherently associated with using digital technologies. This study employed a multi-method design to explore 26 inservice and preservice elementary teacher experiences from attending a professional development on digital safety and facilitating…
Descriptors: Safety, Preservice Teachers, Elementary School Teachers, Summer Programs
Yacobson, Elad; Fuhrman, Orly; Hershkowitz, Sara; Alexandron, Giora – Journal of Learning Analytics, 2021
Learning analytics have the potential to improve teaching and learning in K-12 education, but as student data is increasingly being collected and transferred for the purpose of analysis, it is important to take measures that will protect student privacy. A common approach to achieve this goal is the de-identification of the data, meaning the…
Descriptors: Identification, Privacy, Field Trips, Learning Analytics
Smith, Glenn; Besalti, Metin – Turkish Online Journal of Distance Education, 2023
This study investigated: (a) how the task relevance of postings differed between anonymous versus identified online discussions in elementary school, and (b) how game-like conversations with story characters impacted the task relevance of postings. A total of 342 fourth graders in Slovenia participated in the study. During one and a half-hour,…
Descriptors: Computer Mediated Communication, Elementary School Students, Distance Education, Grade 4
Murchan, Damian; Siddiq, Fazilat – Large-scale Assessments in Education, 2021
Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a promising evolving field in learning sciences. In the area of educational assessment, the benefits of such data and how to exploit them are…
Descriptors: Ethics, Federal Regulation, Learning Analytics, Data Use
Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Dacia Terry – ProQuest LLC, 2023
The objective of this project was to learn what elements of a systemic-focused implementation guide are key to facilitating the involvement of families and faculty in rural southeastern North Carolina elementary schools as an intervention to reduce the use of exclusionary discipline for children's externalized behavior in school. Guided by the…
Descriptors: Student Behavior, Behavior Problems, Behavior Modification, Elementary School Students
Lupton, Deborah – Learning, Media and Technology, 2021
In wealthy countries such as Australia, learning and teaching practices in schools have become increasingly digitised as educational technology (EdTech) initiatives gather momentum. This digitisation inevitably involves rendering many dimensions of students' bodies, activities and practices into digital data formats across learning areas:…
Descriptors: Teaching Methods, Teacher Attitudes, Data Use, Health Education