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James A. Bernauer; Richard G. Fuller; Alicia M. Cassels – Current Issues in Education, 2024
This article explores the transformation of courses among online, traditional, and hybrid modalities with a special focus on transforming an online course into a traditional classroom format. While there has been much written about transforming courses from traditional to online, especially as a consequence of the COVID-19 pandemic, there has not…
Descriptors: Learning Modalities, Educational Change, Electronic Learning, In Person Learning
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Kohei Nakamura; Manabu Ishihara; Izumi Horikoshi; Hiroaki Ogata – Smart Learning Environments, 2024
Expectations of big data across various fields, including education, are increasing. However, uncovering valuable insights from big data is like locating a needle in a haystack, and it is difficult for teachers to use educational big data on their own. This study aimed to understand changes in student participation rates during classes and…
Descriptors: Foreign Countries, Junior High School Students, Junior High School Teachers, Public Schools
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Tory L. Ash – Grantee Submission, 2024
Within the field of school psychology, we often put a premium on evidence-based practices, but what is often missing from these conversations is a consideration of replication and open science principles in the evaluation of evidence. Amid growing concerns regarding the replicability of psychological science, calls for greater research…
Descriptors: School Psychologists, School Psychology, Open Educational Resources, Replication (Evaluation)
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Kasepalu, Reet; Chejara, Pankaj; Prieto, Luis P.; Ley, Tobias – Technology, Knowledge and Learning, 2022
Monitoring and guiding multiple groups of students in face-to-face collaborative work is a demanding task which could possibly be alleviated with the use of a technological assistant in the form of learning analytics. However, it is still unclear whether teachers would indeed trust, understand, and use such analytics in their classroom practice…
Descriptors: Teacher Attitudes, Secondary School Teachers, Technology Uses in Education, Online Systems
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Hamilton, Valerie; Onder, Yasemin; Andzik, Natalie R.; Reeves, Todd D. – Journal of Psychoeducational Assessment, 2022
Teacher data-driven decision making (DDDM) is a professional practice of great prominence in the current K-12 education system. Moreover, teacher self-efficacy and anxiety around DDDM represent important measurement targets in both research and practice. This study consequently examined the validity, reliability, and invariance of data collected…
Descriptors: Data Use, Decision Making, Anxiety, Self Efficacy
Pelaez, Kevin – ProQuest LLC, 2022
The emerging field of data science has brought attention to how we teach statistics and data science (Bargagliotti et al., 2020; Franklin et al., 2007) and prepare the next generation of statistics and data science teachers (Franklin et al., 2013). To realize the full potential of statistics and data science, researchers have also called for using…
Descriptors: Data Science, Statistics Education, Social Justice, Preservice Teachers
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Manco, Alejandra – SAGE Open, 2022
This literature review aims to examine the approach given to open science policy in the different studies. The main findings are that the approach given to open science has different aspects: policy framing and its geopolitical aspects are described as an asymmetries replication and epistemic governance tool. The main geopolitical aspects of open…
Descriptors: Access to Information, Scientific Research, Data Use, Information Policy
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Kearns, Devin M.; Walker, Melodee A.; Borges, Jason C.; Duffy, Meghan E. – Journal of Research in Reading, 2022
One way to provide intensive intervention for students with severe and persistent reading difficulties is to use a systematic data-based decision-making process called data-based individualisation (DBI). DBI is a process for identifying needs and aligning them with specialist support. Meta-analyses of DBI studies by university-based researchers…
Descriptors: Data Use, Reading Difficulties, Individualized Programs, Cooperation
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Hertweck, Corinna; Castillo, Carlos; Mathioudakis, Michael – Journal of Learning Analytics, 2022
We study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. In the context of this system, we explore affirmative action policies that seek to narrow the gap between the admission rates of different socio-demographic groups while still accepting students with…
Descriptors: Affirmative Action, Policy Formation, Educational Policy, College Admission
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Reeves, Todd D.; Wei, Dan; Hamilton, Valerie – Educational Forum, 2022
Non-academic factors such as school climate, grit, and growth mindset are receiving much attention in recent education policy and practice. Within this context, this study (N = 425) describes the distribution of U.S. in-service teachers' access to and use of 10 categories of non-academic data. Findings indicate that in-service teachers vary widely…
Descriptors: Access to Information, Data Use, Decision Making, Educational Environment
Kettler, Todd; Taliaferro, Cheryl – Prufrock Press, 2022
Gifted students can exhibit extreme variance in both their abilities and their interests, yet they are often treated within schools as one homogeneous, specialized population. "Personalized Learning in Gifted Education" helps educators strengthen their differentiation of both instruction and services for advanced students. This book: (1)…
Descriptors: Individualized Instruction, Gifted Education, Academically Gifted, Data Use
Jacinto A. Ramos Jr. – ProQuest LLC, 2022
The problem explored in this study was that the state education agency recommended school board members of low-performing school districts participate in a governance training called student outcomes governance to address student achievement, yet no data suggested the training changed school board members' understanding of how to create policies…
Descriptors: Urban Schools, Boards of Education, Low Achievement, Administrator Attitudes
Julianne Zemaitis – ProQuest LLC, 2022
Despite acknowledgement in the data-informed decision making (DIDM) literature that data use is not a purely rational process, there has been little attention paid to the role of values and normative factors that underpin school improvement planning (SIP) processes and little consideration of the inherent evaluative nature of associated activities…
Descriptors: Data Use, Educational Improvement, Educational Planning, Evaluative Thinking
Kristi Cathcart Tucker – ProQuest LLC, 2022
A school in South Carolina developed a strategic plan to implement a professional learning community structure in the school, where teachers work together to evaluate student data to improve instruction. However, teachers at the school did not understand how to use data-driven instructional practices to drive classroom instruction. The purpose of…
Descriptors: Teacher Collaboration, Data Use, Evidence Based Practice, Elementary School Students
Clare Waterman; Katherine Shields; Tracy McMahon – Education Development Center, Inc., 2022
This Toolkit presents lessons learned from the process of implementing a new system for collecting student-level work-based learning (WBL) data in high school career and technical education (CTE) programs. As part of a study on career academies and WBL, a research team worked closely with a district CTE office and school staff to design and…
Descriptors: Vocational Education, Work Experience Programs, Data Collection, Goal Orientation
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