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Apps, Tiffani; Beckman, Karley; Howard, Sarah K. – Learning, Media and Technology, 2023
This paper critically examines the design and impact of two commonly used education platforms for reading, "PM eCollection" and "Epic." Framed by a data justice lens, the study employs a walkthrough methodology to examine the ways each platform (re)configures teaching and learning practice, and more broadly schooling. The study…
Descriptors: Foreign Countries, Elementary Education, Elementary School Teachers, Educational Technology
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Robin S. Codding; Amanda VanDerHeyden; Reina Chehayeb – Remedial and Special Education, 2024
This study extends prior research by manipulating both intervention and skill difficulty using a multiple baseline across participants design with changing phases in a virtual tutoring environment. Participants were four U.S. students from third and fifth grades for whom appropriate and challenging instructional targets were selected following…
Descriptors: Mathematics Instruction, Data Use, Teaching Methods, Intervention
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Eduardo Davalos; Yike Zhang; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin – Grantee Submission, 2025
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…
Descriptors: Natural Language Processing, Learning Analytics, Reading Tests, Reading Comprehension
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Arantes, Janine; Buchanan, Rachel – Learning, Media and Technology, 2023
Commercial platforms are being increasingly used in classrooms as teaching and learning tools. Beyond shifts in practice to accommodate this, the teacher becomes a tool of the platform -- generating and collecting data for commercial entities. It is time to move from commercial platforms working through teachers to influence education, towards…
Descriptors: Data Use, Advocacy, Professional Autonomy, Ethics
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Signe Sophus Lai; Victoria Andelsman; Sofie Flensburg – Learning, Media and Technology, 2024
Amid the increasing reliance on digital tools and services in education, this article examines the datafication and commodification of student life in Denmark. We analyse the web and app (iOS and Android) versions of 45 tools and services that teachers in Danish public primary schools use as part of their teaching, the types of data generated by…
Descriptors: Data, Foreign Countries, Educational Technology, Web Sites
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Aisling M. Leavy; Mairéad Hourigan; Michelle Fitzpatrick – Statistics Education Research Journal, 2024
Children require access to high-quality statistics education to develop the skills to participate in a technological and data-reliant workforce. This study consisted of a five-lesson integrated STEM unit designed to develop the statistical literacy of 62 6th-grade (11-12 years old) emerging bilingual (EB) learners. Learning was situated in the…
Descriptors: Grade 6, Statistics Education, Bilingual Students, Science and Society
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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
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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
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Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
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van Dijk, Wilhelmina; Pico, Danielle L.; Kaplan, Rachel; Contesse, Valentina; Lane, Holly B. – Computers in the Schools, 2022
The use of online literacy applications is proliferating in elementary classrooms. Using data generated by these applications is assumed to be helpful for teachers to identify struggling readers. Unfortunately, many teachers are unsure how to use and interpret the plethora of data from these apps. In this longitudinal study, we followed a cohort…
Descriptors: Kindergarten, Grade 1, Reading Difficulties, Data Use
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Fancsali, Stephen E.; Li, Hao; Sandbothe, Michael; Ritter, Steven – International Educational Data Mining Society, 2021
Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…
Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology
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Dirckinck-Holmfeld, Lone; Ipsen, Bertil Johannes; Tamborg, Andreas Lindenskov; Dreyøe, Jonas; Allsopp, Benjamin Brink; Misfeldt, Morten – Designs for Learning, 2019
Previous research has emphasized the importance and potential of actively involving teachers in the design and implementation of educational technologies in schools. However, only a few studies have explored the development of methodologies for engaging teachers in the appropriation of digital technologies, as the increased digitalization of many…
Descriptors: Teacher Participation, Technology Integration, Communities of Practice, Educational Technology
Hailey Hinkle – ProQuest LLC, 2020
Response to intervention, direct instruction, and data-based decision-making are all effective teaching practices that can impact student math performance. When educational technology is implemented in classroom settings, it can address both the needs of teachers and students. However, there is little information detailing how educational…
Descriptors: Data Use, Decision Making, Individualized Instruction, Mathematics Instruction
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Shapiro, R. Benjamin; Wardrip, Peter Samuelson – Technology, Instruction, Cognition and Learning, 2015
Increased attention to Data-Informed Instruction (DII) and learning analytics has not been accompanied by a commensurate base of theory or evidence showing how practitioners successfully enact DII, or illustrating what the difficulties and contextual particularities of doing so involve (Coburn & Turner, 2012; Little, 2012; Spillane, 2012).…
Descriptors: Classroom Techniques, Learning Analytics, Data Use, Homework
Holm, Jennifer, Ed.; Megroureche, Charlotte, Ed. – Canadian Mathematics Education Study Group, 2022
With COVID-19 continuing to make meeting face-to-face impossible, the Canadian Mathematics Education Study Group/Groupe Canadien d'Étude en Didactique des Mathématiques (CMESG/GCEDM) executive decided that, for the first time, the CMESG/GCEDM meeting would be held virtually. By necessity, the program had to be much compressed with no topic…
Descriptors: Mathematics Education, Foreign Countries, COVID-19, Pandemics