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Liu, Mengchi; Yu, Dongmei – Education and Information Technologies, 2023
The prevalence of e-learning systems has made educational resources more accessible, interactive and effective to learners without the geographic and temporal boundaries. However, as the number of users increases and the volume of data grows, current e-learning systems face some technical and pedagogical challenges. This paper provides a…
Descriptors: Electronic Learning, Educational Technology, Literature Reviews, Client Server Architecture
Kenneth K. Wong; Spencer Davis – Annenberg Institute for School Reform at Brown University, 2023
The Cobb Teaching & Learning System (CTLS) is a digital learning initiative developed for and by the Cobb County School District (CCSD) in Georgia. CTLS became a crucial initiative used by the district to maintain student academic progress during the COVID-19 pandemic. Adopting a mixed-methods approach, this case study seeks to analyze CTLS's…
Descriptors: Electronic Learning, Teacher Collaboration, Educational Technology, Data Use
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Arantes, Janine Aldous – Australian Educational Researcher, 2023
Recent negotiations of 'data' in schools place focus on student assessment and NAPLAN. However, with the rise in artificial intelligence (AI) underpinning educational technology, there is a need to shift focus towards the value of teachers' digital data. By doing so, the broader debate surrounding the implications of these technologies and rights…
Descriptors: Foreign Countries, Elementary Secondary Education, Electronic Learning, Artificial Intelligence
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Vyatkina, Nina – Foreign Language Annals, 2020
Corpora, large electronic collections of texts, have been used in language teaching for several decades. Also known as Data-Driven Learning (DDL), this method has been gaining popularity because empirical research has consistently shown its effectiveness for learning. However, corpora are still underutilized, especially with learners of languages…
Descriptors: Open Educational Resources, Second Language Instruction, Data, Data Use
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Devlin, Maura; Bushey, Heather – Change: The Magazine of Higher Learning, 2019
With national graduation rates that range from 32% among open enrollment institutions to 66% among private not-for-profits, higher education institutions have a moral imperative to improve the success of their students. Interventions to support today's students must consider the student holistically, be just-in-time, and come from a…
Descriptors: Data Use, Academic Achievement, Outcomes of Education, Holistic Approach
Attendance Works, 2021
States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…
Descriptors: Attendance, Data Collection, State Government, Government Role
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Orchard, Ryan K. – Journal of Educational Technology Systems, 2019
Learning management systems (LMS) allow for a variety of ways in which online multiple-choice assessments ("tests") can be configured, including the ability to allow for multiple attempts and options for which of and how the attempts will count. These options are usually chosen according to the instinct of the instructor; however, LMS…
Descriptors: Integrated Learning Systems, Data Use, Electronic Learning, Assignments
Attendance Works, 2020
States have an essential guiding role in the collection and use of attendance data. State guidance ensures that attendance is taken daily in a consistent manner and is monitored to detect and address inequitable access to learning opportunities. The recent shift to distance and blended learning as a result of the coronavirus pandemic disrupted the…
Descriptors: Attendance, Data Collection, State Government, Government Role