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Tifane Johnson – ProQuest LLC, 2024
In the wake of the COVID-19 pandemic, educational systems worldwide have faced unprecedented challenges, particularly concerning the support of students based on traditional face-to-face instruction. This study focused on the concerns surrounding 2nd grade students at LEA and DRA, two urban elementary schools, who have faced multiple layers of…
Descriptors: Data Use, Teaching Methods, Faculty Development, COVID-19
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Yuchen Liu; Stanislav Pozdniakov; Roberto Martinez-Maldonado – Australasian Journal of Educational Technology, 2024
Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…
Descriptors: Visualization, Story Telling, Data Use, Cognitive Processes
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Arwa Saleh Alaqeel – Cogent Education, 2024
This mixed-methods sequential explanatory study aimed to evaluate the self-efficacy and anxiety of learning disabilities teachers (LD teachers) regarding data-driven decision-making (DDDM). The initial phase involved surveying 309 LD teachers, followed by in-depth interviews with five participants to gain further insights. The study's second phase…
Descriptors: Foreign Countries, Special Education Teachers, Self Efficacy, Anxiety
Keke Wu – ProQuest LLC, 2024
Data is everywhere, but not always accessible to everyone. Conventional data visualization tools and guidelines often assume a standard user, neglecting the neurodivergent needs of individuals with cognitive disabilities. These disabilities can create significant obstacles in data-driven reasoning, including difficulties in processing complex…
Descriptors: Visual Aids, Accessibility (for Disabled), Intellectual Disability, Developmental Disabilities
Adam Schott – Office of Elementary and Secondary Education, US Department of Education, 2024
State and local report cards help ensure local educational agencies (LEAs), parents, families, educators, and communities have critical data and a common framework for gauging educational progress and success. Title I, Part A (Title I) of the Elementary and Secondary Education Act of 1965 (ESEA) requires States to annually share this important…
Descriptors: Elementary Secondary Education, Federal Legislation, Educational Legislation, Program Evaluation
Casey Gogno; Scott Burden; Wyntre Stout – Association for Institutional Research, 2024
Creating a welcoming community is key for an academic environment to thrive. This approach includes accurately representing community members' identities to understand their experiences, and establishing procedures for recording and utilizing individuals' names to support their ability to express their identities freely and without fear of…
Descriptors: Data Collection, Information Storage, Student Characteristics, Identification
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van Zyl, André; Dampier, Graham; Ngwenya, Nkosini – Journal of Student Affairs in Africa, 2020
Low levels of student success in South Africa have persisted as a seemingly intractable problem. There have been some gains in student success over time, but with a participation rate of approximately 18%, the current success rates still represent massive financial and human losses to the country. Internationally there is a trend to move towards…
Descriptors: Foreign Countries, Academic Achievement, College Students, Intervention
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Baig, Maria Ijaz; Shuib, Liyana; Yadegaridehkordi, Elaheh – International Journal of Educational Technology in Higher Education, 2020
Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data…
Descriptors: Educational Research, Educational Trends, Learning Analytics, Student Behavior
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Martinez-Maldonado, Roberto; Schulte, Jurgen; Echeverria, Vanessa; Gopalan, Yuveena; Shum, Simon Buckingham – Journal of Computer Assisted Learning, 2020
The term "Classroom Proxemics" refers to how teachers and students use classroom space, and the impact of this and the spatial design on learning and teaching. This study addresses the divide between, on the one hand, substantial work on proxemics based on classroom observations and, on the other hand, emerging work to design automated…
Descriptors: Space Utilization, Classroom Design, Learning Analytics, Visualization
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Salles, Franck; Dos Santos, Reinaldo; Keskpaik, Saskia – Large-scale Assessments in Education, 2020
During this digital era, France, like many other countries, is undergoing a transition from paper-based assessments to digital assessments in education. There is a rising interest in technology-enhanced items which offer innovative ways to assess traditional competencies, as well as addressing problem solving skills, specifically in mathematics.…
Descriptors: Foreign Countries, Didacticism, Mathematics Tests, Learning Analytics
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2020
Although the number of countries conducting large-scale assessments has significantly increased over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Foreign Countries, Learning Analytics, Data Use, Educational Assessment
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Marlene Bönstrup; Iñaki Iturrate; Martin N. Hebart; Nitzan Censor; Leonardo G. Cohen – npj Science of Learning, 2020
Performance improvements during early human motor skill learning are suggested to be driven by short periods of rest during practice, at the scale of seconds. To reveal the unknown mechanisms behind these "micro-offline" gains, we leveraged the sampling power offered by online crowdsourcing (cumulative N over all experiments = 951).…
Descriptors: Memory, Time Factors (Learning), Skill Development, Intervals
Nate Turcotte – ProQuest LLC, 2020
The Learning Sciences has actively pursued an understanding of how individuals are using data to support their everyday needs and activities. In response to the recent interest in how data can be leveraged to provide personalized learning opportunities, I explore the collaborative data-driven practices of instructors and students at a Golf…
Descriptors: Data Use, Athletics, Physical Education, Physical Education Teachers
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Mawel, Maurice; Sambasivam, Samuel – Information Systems Education Journal, 2023
The principal investigator (PI) conducted this research study to explore the strategic cybersecurity defense IT Managers should implement to reduce healthcare data breaches. The PI conducted a systematic literature review and selected articles that addressed healthcare data security breaches, information disclosure, cybersecurity in healthcare,…
Descriptors: Information Security, Information Technology, Confidential Records, Health Services
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Alsaleh, Amal Abdulwahab – Leadership and Policy in Schools, 2023
This study aimed to investigate how data are used to inform instructional leadership practices in three Kuwaiti public schools, in addition to the factors that impact building data-use capacity. This study conducted three qualitative case studies in high-performing public schools. The findings reveal that data usage in the Kuwaiti schools…
Descriptors: Data Use, Instructional Leadership, Capacity Building, Case Studies
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