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Pauline Moore; Brian A. Jackson; Jennifer T. Leschitz; Nazia Wolters; Thomas Goode; Melissa Kay Diliberti; Phoebe Felicia Pham – RAND Corporation, 2024
Shooting events and threats of shootings have come to shape the educational environment of many schools across the United States in recent years. Between 2021 and 2022, the number of threats alone rose by 60 percent, and most of these threats were made anonymously on various social media platforms commonly used by youth. While the overwhelming…
Descriptors: Social Media, Computer Mediated Communication, Credibility, Intention
Katia Ciampa; Zora Wolfe; Meagan Hensley – Technology, Pedagogy and Education, 2025
This study explores the role of artificial intelligence (AI) in K-12 student assessment practices, focusing on educators' use of AI tools. Through content analysis of active Facebook groups dedicated to AI in education, the authors examined how educators integrate AI into assessment across various grade levels and subjects. Using the Technology…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Kindergarten
Dorottya Demszky; Rose Wang; Sean Geraghty; Carol Yu – Annenberg Institute for School Reform at Brown University, 2023
Providing ample opportunities for students to express their thinking is pivotal to their learning of mathematical concepts. We introduce the Talk Meter, which provides in-the-moment automated feedback on student-teacher talk ratios. We conduct a randomized controlled trial on a virtual math tutoring platform (n=742 tutors) to evaluate the…
Descriptors: Elementary Secondary Education, Students, Teachers, Feedback (Response)
Haesol Bae; Jaesung Hur; Jaesung Park; Gi Woong Choi; Jewoong Moon – Online Learning, 2024
This study examined pre-service teachers' perspectives on integrating generative AI (GenAI) tools into their own learning and teaching practices. Discussion posts from asynchronous online courses on ChatGPT were analyzed using the Diffusion of Innovations framework to explore awareness, willingness to apply ChatGPT to instruction, and potential…
Descriptors: Preservice Teachers, Teacher Attitudes, Artificial Intelligence, Technology Uses in Education
Loncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
Kuusimäki, Anne-Mari; Uusitalo, Lotta; Tirri, Kirsi – Education Sciences, 2021
The Finnish National curriculum obligates teachers to give parents encouraging feedback about their children's learning and development, the aim being to build a constructive relationship between homes and schools and to encourage close collaboration among all parties. Teachers in Finland nowadays use digital platforms that allow effective online…
Descriptors: Predictor Variables, Parent Attitudes, Positive Attitudes, Parent Teacher Cooperation
Rigby, Ken – Australian Journal of Education, 2020
Bullying in schools, defined as a systematic abuse of power in interpersonal relations, may be undertaken individually and/or by groups. The extent to which schoolchildren report that they are bullied by their peers in each of these ways was examined in a survey of Australian schoolchildren (N = 1688) in Years 5-10 attending 36 coeducational…
Descriptors: Foreign Countries, Bullying, Victims, Student Attitudes
Blackburn, Barbara R. – Eye on Education, 2021
Learn how to keep the rigor and motivation alive in a remote learning or hybrid K-12 classroom. In this essential book, bestselling author Barbara R. Blackburn shares frameworks and tools to help you move online without compromising the rigor of your instruction. You'll learn: (1) how to create a remote culture of high expectations; (2) how to…
Descriptors: Educational Quality, Difficulty Level, Student Motivation, Distance Education
Bubb, Sara; Jones, Mari-Ana – Improving Schools, 2020
In Spring 2020, schools in many countries had to close in response to the COVID-19 virus pandemic and move to remote teaching. This paper explores the views of pupils, parents/carers and teachers of 'home-school' in one Norwegian municipality, gathered through parallel online surveys in April 2020 during the peak of the COVID-19 lockdown period.…
Descriptors: COVID-19, Pandemics, Home Schooling, Student Attitudes
Miller, Rhonda D.; Uphold, Nicole – Teacher Education and Special Education, 2021
With increasing demands for teacher accountability, today's teachers are tasked with meeting both the academic and behavioral needs of their students. Being able to efficiently manage classroom behavior can maximize classroom time for instruction. In a multiple-probe across participants design study, we investigated the effects of content…
Descriptors: Positive Reinforcement, Classroom Techniques, Preservice Teacher Education, Coaching (Performance)
Arrastia-Chisholm, Meagan C.; Tackett, Samantha – Peabody Journal of Education, 2020
Mobile applications (apps) are currently used for classroom management, communication with parents, and student learning. Although teachers have acknowledged an unfamiliarity with tools to support their selection of apps for effective use with students, they have welcomed guidance for such evaluations. Thus, we have reviewed mobile technology…
Descriptors: Educational Technology, Computer Oriented Programs, Classroom Techniques, Handheld Devices
British Columbia Ministry of Education, 2017
The "Your Kid's Progress" public engagement process represented an unprecedented level of direct conversation between the Ministry of Education and British Columbia (BC) parents. A total of 5,531 feedback forms were submitted, and 379 members of the public attended 11 community open houses. In addition, 63 participants attended small…
Descriptors: Foreign Countries, Information Dissemination, Grading, Student Evaluation
Chen, Li-Ming; Cheng, Ying-Yao – Educational Psychology, 2017
This study aimed to develop a new scale to examine primary and secondary school students' perceptions of the severity of cyberbullying behaviours, and to explore further whether differences exist in the means of gender, grade and participant role. A total of 707 primary and secondary school students (M = 14.7) in Taiwan participated in this study.…
Descriptors: Bullying, Computer Mediated Communication, Student Attitudes, Elementary School Students
Slovak, Karen; Singer, Jonathan B. – School Social Work Journal, 2014
Although school social workers are likely to intervene with victims and perpetrators of cyberbullying, almost nothing is known about their intervention techniques. This study used a national sample of 302 members of the School Social Work Association of America to gather information about training in, knowledge of, and responses to victims and…
Descriptors: School Social Workers, Victims, Bullying, Computer Mediated Communication
Kassner, Laura D.; Cassada, Kate M. – Journal of Digital Learning in Teacher Education, 2017
In a graduate education course geared toward developing reflective teaching practice in in-service teachers, backchannels, in the form of chat rooms, were employed in small groups to facilitate peer feedback during viewings of video recorded instruction. This study examined the nature and quality of peer feedback exchanged in the digital medium…
Descriptors: Inservice Teacher Education, Reflective Teaching, Feedback (Response), Computer Mediated Communication