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Taylor, Lakiesha R. – ProQuest LLC, 2018
With a steady increase of virtual learning courses taught throughout K-12 education, limited empirical research exists to allow educational leaders and policy makers the ability to accurately identify student demographic characteristics that correlate to the acquisition of virtual course credit (Barbour, 2009). The purpose of this quantitative…
Descriptors: High School Students, Student Characteristics, Academic Achievement, Academic Persistence
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Yazcayir, Gulcihan; Gurgur, Hasan – Pedagogical Research, 2021
In this study, the aim is to examine how special education provided for students within inclusive education has continued at home during the pandemic. This study has employed phenomenology as the research method because this design enables researchers to make in-depth analysis and description. Purposeful sampling method was utilized to determine…
Descriptors: Foreign Countries, COVID-19, Pandemics, Students with Disabilities
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DiMartino, Nicholas A.; Schultz, Susan M. – Rural Special Education Quarterly, 2020
As technology advances across the United States, schools should consider not only the benefits of using screened devices but also the short- and long-term effects on student health. Both the positive and negative effects of using devices are often intensified for students in rural schools, as online learning and the use of e-therapy becomes more…
Descriptors: Rural Schools, Geographic Isolation, Handheld Devices, Computer Use
Kellie Riley Doubek – ProQuest LLC, 2020
Functioning in a world beyond school requires more sophisticated understanding of both content knowledge and knowledge production across the disciplines (Lee & Spratley, 2010; Shanahan & Shanahan, 2008), as well as how to access, interpret, and share information in print and online environments (Afflerbach & Cho, 2009; Coiro &…
Descriptors: Active Learning, Inquiry, Intellectual Disciplines, Literature
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Marsteller, Robert; Bodzin, Al – Electronic Journal of Science Education, 2019
An online curriculum about biological evolution was designed according to the "Promoting Evidentiary Reasoning and Self-Regulation Online" (PERSON) theoretical framework to support evidentiary reasoning and self-regulation. An efficacy study was conducted with 83 suburban high school biology students using design-based research methods.…
Descriptors: Curriculum Implementation, Evidence, Self Management, Electronic Learning
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Liu, Qing-Tang; Liu, Bo-Wei; Lin, Yu-Ren – International Journal of Science Education, 2019
The present study investigated the influence of two factors, namely, argumentation approach and students' prior knowledge on the learning of scientific concept and argumentation in descriptive and theoretical scientific concept-based topics. Four 7th grade science classes totalling 138 students participated and were assigned to four groups…
Descriptors: Prior Learning, Cooperative Learning, Electronic Learning, Persuasive Discourse
Johnson, Jennifer A. – ProQuest LLC, 2019
Open inquiry offers students the opportunity to gain 21st century skills and expose them to science practices advocated by Next Generation Science Standards (NGSS). While this raises the bar from lower-level inquiry classes, students initially struggle with open inquiry, because they do not know what to expect as they shift from a teacher-directed…
Descriptors: STEM Education, Middle School Students, Self Efficacy, Cross Age Teaching
Ormiston, Meg; Slanker, Lauren; Lehotsky, Jennifer; Flaherty, Megan K.; Conboy, Janice; Cavanagh, Whitney – Solution Tree, 2017
Developed specifically for grades 6-8, this resource presents classroom-ready lessons that support the ISTE Standards for Students. Use the lessons, which focus on four essential skills--communication, collaboration, critical thinking, and creativity--to take instruction and learning to the next level through the use of technology. Each chapter…
Descriptors: Middle School Students, Electronic Learning, Communication Skills, Cooperative Learning
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Pratama, Ahmad R.; Scarlatos, Lori L. – International Journal of Mobile and Blended Learning, 2020
In developing countries, where most people have cell phones (even when they don't have reliable electricity or internet service), e-learning and m-learning offer great opportunities for educating a vast populace, particularly in rural communities. This article presents an analysis of primary data from over one thousand secondary school students in…
Descriptors: Handheld Devices, Electronic Learning, Computer Use, Ownership
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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
Shawn M. Donnelly – ProQuest LLC, 2021
The purpose of this study is to evaluate the effectiveness of IXL Math online software in raising student achievement on the New York State Math exam, with special focus on effects by student gender, ethnicity and disability status. The study includes an analysis of the relationship between scale scores and time spent using the IXL system, number…
Descriptors: Computer Software, Electronic Learning, Academic Achievement, Urban Schools
Cherelle S. Young – ProQuest LLC, 2021
Technology is causing our world to change quickly. As a result, there has been a push to teach 21st century skills. This shift has caused school districts to increase expectations of teachers to use digital technologies to help student learning. To prepare teachers for the instructional shift, schools have increased opportunities for professional…
Descriptors: Virtual Classrooms, Communities of Practice, Educational Environment, Teacher Student Ratio
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DiCerbo, Kristen – Learning, Media and Technology, 2016
The volume of data that can be captured and stored from students' everyday interactions with digital environments allows for the creation of models of student knowledge, skills, and attributes unobtrusively. However, models and techniques for transforming these data into information that is useful for educators have not been established. This…
Descriptors: Bayesian Statistics, Educational Technology, Electronic Learning, Learning Processes
Mingyu Feng; Jeremy Roschelle – Grantee Submission, 2016
How students do homework has been under-researched relative to classroom learning because it is more difficult to collect data on students' homework behaviors. Presumably, such data would have implications for students' achievement. To understand how students do homework and how homework performance and behaviors relate to end-of-year standardized…
Descriptors: Electronic Learning, Homework, Prediction, Student Behavior
Becker, Stephen P.; Breaux, Rosanna; Cusick, Caroline N.; Dvorsky, Melissa R.; Marsh, Nicholas P.; Sciberras, Emma; Langberg, Joshua M. – Grantee Submission, 2020
Purpose: To examine remote learning practices and difficulties during initial stay-at-home orders during the COVID-19 pandemic in adolescents with and without ADHD. Methods: Participants were 238 adolescents (132 males; 118 with ADHD) ages 15.64-17.99 years and their parents. Adolescents and parents completed questionnaires in May/June 2020 when…
Descriptors: COVID-19, Pandemics, Attention Deficit Hyperactivity Disorder, Parent Attitudes
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