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Punyapa Boontam; Supakorn Phoocharoensil – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
In recent years, there has been growing interest in the use of data-driven learning (DDL) in L2 writing instruction. This paper examined whether and to what extent DDL activities could enhance the writing complexity, accuracy, and fluency (CAF) of 30 Thai EFL learners. The presentation of DDL in this study was hands-on concordancing with the…
Descriptors: Foreign Countries, English (Second Language), Data Use, Difficulty Level
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Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Grantee Submission, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
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Seohyeon Choi; Kristen L. McMaster; Erica S. Lembke; Manjary Guha – Assessment for Effective Intervention, 2024
Teachers' knowledge and skills about data-based instruction (DBI) can influence their self-efficacy and their implementation of DBI with fidelity, ultimately playing a crucial role in improving student outcomes. The purpose of this brief report is to provide evidence for the technical adequacy of a measure of DBI knowledge and skills in writing by…
Descriptors: Data Use, Writing Instruction, Knowledge Level, Elementary School Teachers
Jessica Arnold; Susan Hayes; Elizabeth Zagata – WestEd, 2025
Despite decades of tenacious advocacy and improvement efforts to expand and enshrine rights for students with disabilities, many students with individualized education programs (IEPs) still lack access to high-quality, effective learning opportunities. This can be due to a range of factors, including low expectations, exclusion from general…
Descriptors: Students with Disabilities, Equal Education, Student Evaluation, Evaluation Methods
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Kim Schildkamp; Anders Ruud Fosnæs; Yngve Lindvig; Jarl Inge Wærness – Journal of Professional Capital and Community, 2025
Purpose: Specific forms of data use in schools, particularly those that involve students in interpreting and utilizing the data about themselves, are gaining recognition. This exploratory qualitative study focused on students' involvement in the use of data coming from a national survey. Design/methodology/approach: In three best-practice schools,…
Descriptors: Student Participation, Participative Decision Making, Data Use, Data Analysis
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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
Elise Miller McNeely; Liam Sweeney – ITHAKA S+R, 2025
State agencies rely on the Integrated Postsecondary Education Data System (IPEDS) as an essential part of their postsecondary education data systems. The system provides common definitions and standardized indicators that enable consistent measurement across institutions and states, enabling institutional and state comparisons, accountability…
Descriptors: State Agencies, Data Use, Data Collection, Higher Education
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Rubin, Andee – Journal of the Learning Sciences, 2020
Teaching students to reason with data is not a totally new enterprise. A small but insistent statistics education community has been studying the process for decades. This commentary provides an introduction to some major themes of that research, in order to provide common ground for conversations between learning sciences researchers and those…
Descriptors: Logical Thinking, Data Use, Statistics, Mathematics Instruction
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Reisner, Barbara A.; Pate, Cole L.; Kinkaid, Melissa M.; Paunovic, Daniel M.; Pratt, Justin M.; Stewart, Joanne L.; Raker, Jeffrey R.; Bentley, Anne K.; Lin, Shirley; Smith, Sheila R. – Journal of Chemical Education, 2020
Classroom observation data using tools such as the Classroom Observation Protocol for Undergraduate STEM (COPUS) are frequently collected in instructional settings for large-scale research studies and program assessment. While COPUS data may be provided to instructors, it is often provided with little or no guidance on how the data can be used to…
Descriptors: Chemistry, Undergraduate Students, Data Use, Science Instruction
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Buckner, Elizabeth; Shephard, Daniel; Smiley, Anne – Journal on Education in Emergencies, 2022
Recognizing the lack of knowledge about how to improve data systems for education in emergencies (EiE), we examine in this article how EiE professionals use data and what makes data "useful" to them. Drawing from 48 semistructured interviews from a purposive sample of professionals working in the EiE field across the humanitarian,…
Descriptors: Data Use, Emergency Programs, Professional Personnel, Attitudes
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Liebfreund, Meghan D.; Porter, Stephen R.; Amendum, Steven J.; Starcke, Matt A. – Elementary School Journal, 2022
The present study employed a difference-in-difference approach to determine the impact of a technologically enhanced diagnostic and formative assessment system implemented in one US state in kindergarten through third grade on school-level end-of-year third-grade reading test scores and percentage of students receiving special education services.…
Descriptors: Elementary School Students, Grade 3, Reading Tests, Scores
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Adenle, Yusuf A.; Abdul-Rahman, Mohammed; Soyinka, Oluwole A. – International Journal of Sustainability in Higher Education, 2022
Purpose: As one of the buzzwords in the present age with considerable impacts in tertiary institutions, social media use in online teaching, learning and information dissemination have been extensively discussed in extant literature. This paper aims to explore the existing campus sustainability appraisal (CSA) tools to identify the length at which…
Descriptors: Social Media, Sustainability, Data Use, Content Analysis
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Walston, Jill; Conley, Marshal – Regional Educational Laboratory Southwest, 2022
This toolkit is designed to guide educators in developing and improving practical measurement instruments for use in networked improvement communities (NICs) and other education contexts in which principles of continuous improvement are applied. Continuous improvement includes distinct repeating processes: understanding the problem, identifying…
Descriptors: Measurement Techniques, Measurement, Educational Improvement, Communities of Practice
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Ying, Samantha; Shakra, Rayanne – Issues in Educational Research, 2022
The purpose of this small case-study is to gain an in depth understanding of how secondary school teachers perceive that data walls impact their teaching practices and subsequently, students' learning and growth. By drawing on a conceptual model of evidence-informed practice (EIP), this case study examined responses from secondary school teachers…
Descriptors: Data Use, Secondary School Teachers, Progress Monitoring, Evidence Based Practice
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Saar, Merike; Rodríguez-Triana, María Jesús; Prieto, Luis P. – Journal of Learning Analytics, 2022
Data-informed decision-making in teachers' practice, now recommended by different teacher inquiry models and policy documents, implies deep practice change for many teachers. However, not much is known about how teachers perceive the different steps that analytics-informed teacher inquiry entails. This paper presents the results of a study into…
Descriptors: Learning Analytics, Evidence Based Practice, Data, Decision Making
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