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Dong, Yihuan; Marwan, Samiha; Shabrina, Preya; Price, Thomas; Barnes, Tiffany – International Educational Data Mining Society, 2021
Over the years, researchers have studied novice programming behaviors when doing assignments and projects to identify struggling students. Much of these efforts focused on using student programming and interaction features to predict student success at a course level. While these methods are effective at early detection of struggling students in…
Descriptors: Navigation (Information Systems), Academic Achievement, Learner Engagement, Programming
Beach, J. M. – Rowman & Littlefield Publishers, 2021
This book examines the idea of educational accountability in higher education, which has become a new secular gospel. But do accountability policies actually make colleges better? What if educational accountability tools don't actually measure what they're supposed to? What if accountability data isn't valid, or worse, what if it's meaningless?…
Descriptors: Accountability, Higher Education, Educational Policy, Measurement Techniques
Fisk, Selena – Solution Tree, 2021
Data--done right--has the power to put schools on the path to true change. Rely on this research-backed resource to help you kickstart, implement, and sustain data-informed school-wide transformation. There are many ways to use student data, and the author's 10 steps offer practical, clear methods for establishing a data team, collecting relevant…
Descriptors: Data Use, Educational Change, Data Collection, Data Analysis
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Charteris, Jennifer – British Journal of Sociology of Education, 2022
Post-panopticism is aligned with the Foucauldian conception of power and illustrates its apparatuses and mechanisms, for instance the visibility of bodies under the gaze, the facility to mobilise power relations for political purposes, and the capacity to engage self -technologies where there is self-surveillance and surveillance of others. As a…
Descriptors: Foreign Countries, Power Structure, Accountability, Visual Aids
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Schulz, Penelope; Prior, Julian; Kahn, Lewis; Hinch, Geoff – Journal of Agricultural Education and Extension, 2022
Purpose: This paper establishes the attitude of Australian livestock farmers toward the use of mobile applications (apps) in farmer extension, training and on-farm decision making. It also determines levels of technology adoption of smartphones and agriculture app use, as well as identifies factors that may influence app adoption. Methodology: A…
Descriptors: Handheld Devices, Computer Oriented Programs, Data, Information Management
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Susnjak, Teo; Ramaswami, Gomathy Suganya; Mathrani, Anuradha – International Journal of Educational Technology in Higher Education, 2022
This study investigates current approaches to learning analytics (LA) dashboarding while highlighting challenges faced by education providers in their operationalization. We analyze recent dashboards for their ability to provide actionable insights which promote informed responses by learners in making adjustments to their learning habits. Our…
Descriptors: Learning Analytics, Computer Interfaces, Artificial Intelligence, Prediction
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Taylor, Leonard; Urgo, Ricky; Mize, Macy; Yarbrough, LaTecia – Journal of Student Affairs Research and Practice, 2022
The authors present preliminary insights from a qualitative action research project focused on refining the assessment practices of a first-year retention program at a large research university. Findings suggest the need for continued attention to the assessment cultures, especially interrogation and revision of current assessment attitudes,…
Descriptors: Action Research, School Holding Power, Leadership, Program Evaluation
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Alturki, Sarah; Hulpu?, Ioana; Stuckenschmidt, Heiner – Technology, Knowledge and Learning, 2022
The tremendous growth of educational institutions' electronic data provides the opportunity to extract information that can be used to predict students' overall success, predict students' dropout rate, evaluate the performance of teachers and instructors, improve the learning material according to students' needs, and much more. This paper aims to…
Descriptors: Grade Prediction, Academic Achievement, Data Use, Dropout Rate
Washick, Bonnie; Ridings, Aaron; Juste, Tessa – Gay, Lesbian and Straight Education Network (GLSEN), 2022
Collecting data on lesbian, gay, bisexual, transgender, queer-plus (LGBTQ+) issues and the experiences of LGBTQ+ young people is essential both for enforcing civil rights protections and advancing racial, gender, and disability justice outcomes in K-12 education systems across the country. The absence of this data: (1) Is a barrier to full…
Descriptors: Elementary Secondary Education, Students, Kindergarten, Young Children
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Jennings, Austin S. – Educational Assessment, 2022
The extent to which teachers collect, interpret, and use information from multiple data sources is a key distinction between novice and expert data users. Understanding and exploring this dimension of teachers' instructional decision making requires a shift in contemporary perspectives toward the interconnectedness of data sources within teachers'…
Descriptors: Educational Practices, Information Utilization, Data Collection, Data Interpretation
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Bell, Jacobe – Learning Professional, 2022
Cultivating inclusive classrooms, where all students are heard, affirmed, and validated, is an equity issue. As an instructional coach and a supervisor of coaches, the author has a moral obligation to work against the system that was designed to and continues to oppress some students and benefit others. This work often brings up difficult…
Descriptors: Equal Education, Emotional Response, Psychological Patterns, Inclusion
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Rosenberg, Joshua M.; Schultheis, Elizabeth H.; Kjelvik, Melissa K.; Reedy, Aaron; Sultana, Omiya – British Journal of Educational Technology, 2022
With improving technology and monitoring efforts, the availability of scientific data is rapidly expanding. The tools that scientists and engineers use to analyse data are changing in response. At the same time, science education standards have shifted to emphasize the importance of students making sense of data in science classrooms. However, it…
Descriptors: Data, Data Use, Science Instruction, Science Education
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Schildkamp, Kim; Datnow, Amanda – Leadership and Policy in Schools, 2022
Because learning from failures is just as important as learning from successes, we used qualitative case study data gathered in the Netherlands and the United States to examine instances in which data teams struggle to contribute to school improvement. Similar factors in both the Dutch and U.S. case hindered the work of the data teams, such as…
Descriptors: Foreign Countries, Educational Improvement, Data Use, Failure
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Li, Warren; Sun, Kaiwen; Schaub, Florian; Brooks, Christopher – International Journal of Artificial Intelligence in Education, 2022
Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases…
Descriptors: College Students, Learning Analytics, Student Attitudes, Informed Consent
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Mulligan, Joanne; Kirk, Melinda; Tytler, Russell; White, Peta; Capsalis, Maria – Australian Primary Mathematics Classroom, 2022
This article illustrates one of several learning sequences from the Interdisciplinary Mathematics and Science (IMS) Learning project, connecting science and mathematics learning in the primary school. Investigating Body Height involved a series of investigations conducted in Years 5 and 6 across six classes in one school. The project teachers…
Descriptors: Grade 5, Grade 6, Inquiry, Body Height
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