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Jafari, Moneer; Safa, Mohammad Ahmadi – Journal of Educational Change, 2023
Powered by educational policy recommendations around the world, studies on different aspects of data-driven decision making have soared both in number and scope in different educational contexts. However, despite the availability of diverse data, second or foreign language research has been quite tardy in the study of language teachers'…
Descriptors: Data Use, Decision Making, English (Second Language), Second Language Learning
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Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior
Julie Esparza Brown; Amanda K. Sanford; Donna Sacco – National Center on Intensive Intervention, 2024
This brief highlights how to use culturally and linguistically aligned (CLA) strategies to support multilingual learners within an multi-tiered system of supports (MTSS) framework including how to use a CLA lens to inform instructional adaptations for multilingual learners who require intensive intervention. The brief reviews the use of the CLA…
Descriptors: Multi Tiered Systems of Support, Culturally Relevant Education, Language Usage, Multilingualism
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Aburizaizah, Saeed Jameel – Journal of Education and Learning, 2021
For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students' progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers--from the institution, teachers, students, and classroom levels, providing a…
Descriptors: Data Use, Decision Making, Progress Monitoring, Learning Analytics