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Frost, Raymond; Matta, Vic; Kenyo, Lauren – Journal of Information Systems Education, 2021
Student learning benefits from individual support and feedback. This type of support does not scale well especially in large classes. A system was built to automate the delivery of individual support and feedback on Excel assignments in information systems and analytics courses. The system embeds instructional scaffolding in the distributed…
Descriptors: Automation, Scaffolding (Teaching Technique), Formative Evaluation, Individualized Instruction
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Ninasivincha-Apfata, Jhon Edwar; Quispe-Figueroa, Ricardo Carlos; Valderrama-Solis, Manuel Alejandro; Maraza-Quispe, Benjamin – World Journal on Educational Technology: Current Issues, 2021
The objective of the research is to develop a methodology to analyse a set of data extracted from a learning management system, in order to implement a dashboard, which can be used by teachers to make timely and relevant decisions to improve the teaching-learning processes. The methodology used consisted of analysing 9,257 records extracted…
Descriptors: Learning Analytics, Integrated Learning Systems, Visual Aids, Technology Uses in Education
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Bowers, Alex J.; Krumm, Andrew E. – Information and Learning Sciences, 2021
Purpose: Currently, in the education data use literature, there is a lack of research and examples that consider the early steps of filtering, organizing and visualizing data to inform decision-making. The purpose of this study is to describe how school leaders and researchers visualized and jointly made sense of data from a common learning…
Descriptors: Evidence Based Practice, Data Use, Decision Making, Visualization
Bodin, Mathieu – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…
Descriptors: Student Evaluation, Foreign Countries, Evaluation Methods, Data Use
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Jiménez, Haydée G.; Casanova, Marco A.; Finamore, Anna Carolina; Simões, Gonçalo – International Educational Data Mining Society, 2021
Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…
Descriptors: Natural Language Processing, Data Analysis, Classification, Student Surveys
Mandinach, Ellen B., Ed.; Gummer, Edith S., Ed. – Teachers College Press, 2021
This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they…
Descriptors: Ethics, Data Use, Decision Making, Educational Policy
Early Childhood Technical Assistance Center, 2021
To support states in improving educational results and functional outcomes for children with disabilities while ensuring compliance with Individuals with Disabilities Education Act (IDEA) through state monitoring activities, a six-step inquiry process has been developed. The six steps describe a chronological process to assist states in selecting…
Descriptors: Equal Education, Educational Legislation, Federal Legislation, Compliance (Legal)
Region 10 Comprehensive Center, 2021
This series of rapid briefs is being developed by the Wisconsin-Minnesota Comprehensive Center - Region 10 (WMCC10). The purpose of these briefs is to provide succinct and timely guidance on best practices for schools and school-based early learning programs regarding the assessment of student learning, with the goal of informing instructional…
Descriptors: COVID-19, Pandemics, Best Practices, Student Evaluation
Meyer, K.; Everett, S.; Handler, M.; Freeman, J. – Center on Positive Behavioral Interventions and Supports, 2021
An increasing number of high schools have adopted Tier 1 PBIS; however, implementation of advanced tiers of PBIS in high schools is less common and specific guidance is scarce. To address this need and better understand the level of support needed to successfully implement advanced tiers of PBIS at the high school level, the National Center on…
Descriptors: Positive Behavior Supports, High School Students, Program Implementation, School Personnel
Buckley, Jack – American Enterprise Institute, 2021
As educators confront the challenge of remediating COVID-19 learning loss--and policymakers wrestle with measuring it amid widespread discontent with testing--now is an apt time to consider how much of the current accountability and assessment regime is truly necessary. This report examines the state of testing post-March 2020 and explores how a…
Descriptors: Accountability, COVID-19, Pandemics, Testing
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Zualkernan, Imran – International Association for Development of the Information Society, 2021
A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…
Descriptors: Prediction, Engineering Education, Academic Achievement, Dropouts
Kulkarni, Tara; Weeks, Mollie R.; Sullivan, Amanda L. – Equity Assistance Center Region III, Midwest and Plains Equity Assistance Center, 2021
This Equity Tool, intended to support when critically reading a research study/report, provides a brief introduction to key concepts and issues involved in using largescale research, calling attention to high profile controversies, and providing explicit linkages to desegregation areas (race, sex, nationality, religion). The first part (Table 1)…
Descriptors: Equal Education, Check Lists, Data Analysis, Research Reports
Kurt B. Doan – ProQuest LLC, 2021
Although the body of research about LGBTQ+ students in higher education is growing, little is known about the experiences, success rates, persistence, and graduation rates of sexual minority community college students. Researchers studying this population frequently cite a lack of available data that would assist in exploring the experiences of…
Descriptors: Community Colleges, Educational Practices, Data Collection, Student Records
Christian Beighton – Sage Research Methods Cases, 2021
This case study discusses how theory and deductive analysis can be used to better understand work-based learning (WBL). Based in a U.K. teacher education setting, it discusses a project which examined how novice teachers in English Further Education develop their professional knowledge and how their experiences might help understand WBL more…
Descriptors: Data Analysis, Interviews, Logical Thinking, Research Methodology
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Jessa Henderson; Michael Corry – Journal of Research in Innovative Teaching & Learning, 2021
Purpose: A literature review of 28 data literacy, education articles from 2010 to 2018 was conducted to gain a better understanding of the current state of data literacy research. Design/methodology/approach: A systematic literature review of ERIC, Education Source, and JSTOR was conducted. Articles were included in this literature review if they…
Descriptors: Multiple Literacies, Data, Journal Articles, Elementary Secondary Education
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