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Chikaze Sugiyama; Shunsuke Koseki; Rina Kishino – Journal of Psychologists and Counsellors in Schools, 2024
Despite widespread remote psychological interventions during the COVID-19 pandemic, the difference between the effectiveness of remote digital and face-to-face methods in school-based intervention programs remains unclear. This study examined the difference between the effectiveness of video and face-to-face based problem-solving training on…
Descriptors: Video Technology, Intervention, COVID-19, Pandemics
Rhonda N. T. Nese; Joe F. T. Nese; MarĂa R. Santiago-Rosario; Sara Izzard; Alex Newson; Irin Pimentel-Mannan; Dana Cohen Lissman; Tony Daza; Danielle Triplett; Saki Malose – Journal of Education, 2025
This study examined the impact of a classroom-level component of The Inclusive Skill-building Learning Approach (ISLA), an instructional and restorative alternative to exclusionary discipline, on student behaviors and school discipline practices in middle schools. Intervention implementation, classroom observations, and all other data collection…
Descriptors: Learner Engagement, Discipline, Inclusion, COVID-19
Rhonda N. T. Nese; Joe F. T. Nese; Maria R. Santiago-Rosario; Sara Izzard; Alex Newson; Irin Pimentel-Minnan; Dana Cohen Lissman; Tony Daza; Danielle Triplett; Saki Malose – Grantee Submission, 2024
This study examined the impact of a classroom-level component of The Inclusive Skill-building Learning Approach (ISLA), an instructional and restorative alternative to exclusionary discipline, on student behaviors and school discipline practices in middle schools. Intervention implementation, classroom observations, and all other data collection…
Descriptors: Learner Engagement, Discipline, Inclusion, COVID-19
Ismaila Temitayo Sanusi; Fred Martin; Ruizhe Ma; Joseph E. Gonzales; Vaishali Mahipal; Solomon Sunday Oyelere; Jarkko Suhonen; Markku Tukiainen – ACM Transactions on Computing Education, 2024
As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…
Descriptors: Artificial Intelligence, Middle School Students, Learner Engagement, Technology Uses in Education
Aghasafari, Sahar – Journal of Interdisciplinary Studies in Education, 2023
As educators, we are becoming increasingly aware that delivering effective education will likely change after the coronavirus pandemic. As a result, we have an opportunity to frame teaching differently and bring innovation to the forefront. In doing so, educators explored online tools and creative ways to connect with students and found new ways…
Descriptors: Visual Arts, Biology, Interdisciplinary Approach, Bilingual Students
Brooke A. Moore; Earl F. Legleiter; Kylia Owens; Brynne Packard; Jessica Wright – Journal of Science Teacher Education, 2024
In rural, geographically dispersed school districts, access to high-quality face-to-face professional development (PD) is challenging. Our study developed and compared the effectiveness of an online PD for middle-school science teachers working in remote, rural areas of Kansas with an evidence-based traditional face-to-face PD with the goal of…
Descriptors: Rural Schools, Middle School Teachers, Science Teachers, Faculty Development
Gilbert G. Baybayon; Minie Rose C. Lapinid – Mathematics Teaching Research Journal, 2024
This study employed student choice and tiered worksheets as strategies of differentiated instruction on Quadratic Equations in addressing students' non-compliance with assignments in a flipped classroom. In each lesson, students choose among the instructional materials with guide questions to assist them in focusing on key areas during the…
Descriptors: Individualized Instruction, Mathematics Instruction, Equations (Mathematics), Flipped Classroom
Jackie Monique Brown – ProQuest LLC, 2021
The purpose of this research study was to evaluate the impact of Leader in Me, a transformational process, on academic achievement for students in virtual and in-person learning environments. Educators have explored different ways to help keep students motivated and eager to learn during the national Coronavirus Pandemic. Leader in Me is the…
Descriptors: Social Emotional Learning, Program Effectiveness, Academic Achievement, In Person Learning
Yusuf Canbolat; Rebeca Arndt – Annenberg Institute for School Reform at Brown University, 2024
A concerning number of middle and high school students lack fundamental reading skills in the United States. One common way schools address this issue is by supporting those students with computer-assisted instruction. This study evaluates the causal effect of one such computer-assisted instruction intervention on English Language Arts achievement…
Descriptors: Computer Assisted Instruction, Achievement Gap, Intervention, School Districts
Chuulu, Yvonne M.; Bweupe, Smith K.; Kalumiana, Ing'utu A.; Kasonde, Barbara M.; Musonda, Mathews – Commonwealth of Learning, 2023
During 2019-21, the Ministry of General Education in Zambia piloted an open and innovative schooling (OIS) programme. It used an e-learning model that involved developing and sharing curriculum-based open educational resources (OER) to supplement other teaching and learning processes. The resources could be accessed through both online and offline…
Descriptors: Foreign Countries, Access to Education, Educational Technology, Electronic Learning
Saida Affouneh Ed; Soheil Salha Ed; Ahmed Tlili Ed; Sameer Abu-Eisheh Ed – Lecture Notes in Educational Technology, 2023
This book offers authors' practices, initiatives, and experiences in sustaining their education during the pandemic from different countries, contexts, and political situations. It provides a future prediction for the education system in the world due to the transformation that happened in the post-COVID-19 era. Each chapter of the book is…
Descriptors: COVID-19, Pandemics, Cultural Differences, Electronic Learning