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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
Tracey Taylor-Jarrell – ProQuest LLC, 2022
The purpose of the study is to examine the retention rates of Full-time, First-Time in College (FTIC) students by academic discipline and explore what services and university policies are available in each college to retain its students. While the data obtained from the Southern University Fact book for the years 2016 - 2020 examined the retention…
Descriptors: School Holding Power, Undergraduate Students, Deans, Higher Education
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Kishan Mistry; Glenn A. Hurst – Journal of Chemical Education, 2022
A simple experiment was developed to introduce students to the sustainable procurement of water through fog harvesting that can be used for drinking or irrigation purposes. Access to clean water and sanitation is problematic particularly within dry regions such as in areas of Peru, although there is a significant amount of fog in the mountainous…
Descriptors: Science Experiments, Sustainability, Water, Scientific Concepts
Amélie Lemieux; Kelly C. Johnston; Fiona Scott – Cultural Studies and Transdisciplinarity in Education, 2022
In times of global emergencies and shifting social priorities worldwide, literacy researchers must recognize how ethnographic methods--foregrounded by New Literacy Studies researchers--may be rendered temporarily and persistently inaccessible. These conditions force us to work other-wise, employing new materialism to contemplate methodologies of…
Descriptors: Foreign Countries, Literacy, Researchers, Research Methodology
Ioana Ramia; Belinda Parker; Julie People; Kate Ridgway; Oscar Kovacs; Zid Mancenido; Sarah Hayte, Contributor – Australian Education Research Organisation Limited, 2022
Using evidence-based practices (EBPs), and using them well, is a critical way to improve student outcomes. EBPs are practices supported by research, that is, there is broad consensus in the research community that they work. This report focuses on 4 EBPs with a well-documented evidence base that they can positively impact student outcomes (Archer…
Descriptors: Evidence Based Practice, Educational Practices, Direct Instruction, Mastery Learning
Corbeil, Maria Elena; Corbeil, Joseph Rene; Khan, Badrul H. – Educational Technology, 2017
Due to rapid advancements in our ability to collect, process, and analyze massive amounts of data, it is now possible for educational institutions to gain new insights into how people learn (Kumar, 2013). E-learning has become an important part of education, and this form of learning is especially suited to the use of big data and data analysis,…
Descriptors: Program Implementation, Electronic Learning, Educational Technology, Data Analysis
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Borden, Victor M. H.; Coates, Hamish – New Directions for Higher Education, 2017
Analytics derived from the student learning environment provide new insights into the collegiate experience; they can be used as a supplement to or, to some extent, in place of traditional surveys. To serve this purpose, however, greater attention must be paid to conceptual frameworks and to advancing institutional systems, activating new…
Descriptors: Educational Research, Data Collection, Data Analysis, College Students
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Clayton, Matthew; Halliday, Daniel – Theory and Research in Education, 2017
This article develops a perspective on big data in education, drawing on a broadly liberal conception of education's primary purpose. We focus especially on the rise of so-called learning analytics and the associated rise of digitization, which we evaluate according to the liberal view that education should seek to cultivate individuality and…
Descriptors: Data Analysis, Data Collection, Educational Research, Civics
Hendricks, Cher C. – Pearson, 2017
In this book, educators learn what they need to know about the action research cycle and get practical help for working through each step of the cycle--from choosing a topic and generating research questions to analyzing data and reporting results and conclusions. In a clear, concise, user-friendly approach, the author helps readers through the…
Descriptors: Educational Improvement, Action Research, Reflection, Teacher Researchers
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West, Deborah; Luzeckyj, Ann; Searle, Bill; Toohey, Danny; Vanderlelie, Jessica; Bell, Kevin R. – Australasian Journal of Educational Technology, 2020
This article reports on a study exploring student perspectives on the collection and use of student data for learning analytics. With data collected via a mixed methods approach from 2,051 students across six Australian universities, it provides critical insights from students as a key stakeholder group. Findings indicate that while students are…
Descriptors: Stakeholders, Undergraduate Students, Graduate Students, Student Attitudes
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Guo, Hongwen; Zhang, Mo; Deane, Paul; Bennett, Randy E. – Journal of Educational Data Mining, 2020
This study investigates the effects of a scenario-based assessment design on students' writing processes. An experimental data set consisting of four design conditions was used in which the number of scenarios (one or two) and the placement of the essay task with respect to the lead-in tasks (first vs. last) were varied. Students' writing…
Descriptors: Instructional Effectiveness, Vignettes, Writing Processes, Learning Analytics
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McKool, Marissa; Freire, Kimberley; Basile, Kathleen C.; Jones, Kathryn M.; Klevens, Joanne; DeGue, Sarah; Smith, Sharon G. – American Journal of Evaluation, 2020
Despite advances in the sexual violence (SV) prevention field, practitioners still face challenges with identifying indicators to measure the impact of their prevention strategies. Public data, such as existing administrative and surveillance system data, may be a good option for organizations to examine trends in indicators for the purpose of…
Descriptors: Sexual Abuse, Violence, Prevention, Program Effectiveness
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Fischer, Christian; Pardos, Zachary A.; Baker, Ryan Shaun; Williams, Joseph Jay; Smyth, Padhraic; Yu, Renzhe; Slater, Stefan; Baker, Rachel; Warschauer, Mark – Review of Research in Education, 2020
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…
Descriptors: Data Analysis, Data Collection, Decision Making, Instructional Effectiveness
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Julie Irene Bost; Carl Lashley – Journal of Special Education Leadership, 2025
The purpose of this interview-based qualitative study was to explore how individualized education program (IEP) team members determine least restrictive environment and educational placement. The Individuals with Disabilities Education Act (IDEA) requires students with disabilities to be educated in the least restrictive environment and to the…
Descriptors: Mainstreaming, Individualized Education Programs, Students with Disabilities, Student Placement
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