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Showing 1 to 15 of 16 results Save | Export
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Nazanin Nezami; Parian Haghighat; Denisa Gándara; Hadis Anahideh – Grantee Submission, 2024
The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…
Descriptors: Evaluation Methods, College Students, Success, Predictor Variables
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Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
Valeria Damiani; Bruno Losito; Gabriella Agrusti; Wolfram Schulz – International Association for the Evaluation of Educational Achievement, 2024
The IEA's International Civic and Citizenship Education Study (ICCS) investigates the ways in which young people around the world are prepared to undertake their roles as citizens. This report presents the European results from the third cycle of the study (ICCS 2022). Eighteen countries and two benchmarking participants (the German states of…
Descriptors: Citizen Participation, Foreign Countries, Grade 8, Grade 9
Carrie Klein; Jessica Colorado – State Higher Education Executive Officers, 2024
Since 2010, the State Higher Education Executive Officers Association's (SHEEO) Strong Foundations survey has reported on the evolution and value of postsecondary student unit record systems (PSURSs) by illuminating the condition of state postsecondary data in the U.S. In the "Strong Foundations 2023" survey, which was administered from…
Descriptors: College Students, Student Records, Data Collection, Databases
Miranda Kucera; K. Kawena Begay – Communique, 2025
While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Miranda Kucera; K. Kawena Begay – Communique, 2025
In Part 1 of this series, the authors briefly reviewed some challenges inherent in using standardized tools with students who are not well represented in norming data. To help readers clearly conceptualize the framework steps, the authors present two case studies that showcase how a nonstandardized approach to assessment can be individualized to…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
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Kipton D. Smilie – Paedagogica Historica: International Journal of the History of Education, 2025
In the 1930s schooling in the United States underwent fundamental transformations, ultimately responding to the profound social, economic, and technological changes taking place in the early decades of the twentieth century. Students' social and emotional health needed support, especially for entry into a rapidly changing nation and world. One…
Descriptors: Educational History, Professional Autonomy, Data Collection, Student Characteristics
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Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
Casey Gogno; Scott Burden; Wyntre Stout – Association for Institutional Research, 2024
Creating a welcoming community is key for an academic environment to thrive. This approach includes accurately representing community members' identities to understand their experiences, and establishing procedures for recording and utilizing individuals' names to support their ability to express their identities freely and without fear of…
Descriptors: Data Collection, Information Storage, Student Characteristics, Identification
Jing Tang; Kara Ulmen; Sara Amadon; Katie Richards; Gabriella Guerra; Ja’Chelle Ball; Carlise King; Dale Richards – Child Trends, 2024
The preschool landscape is complex, consisting of several publicly funded programs supported by federal, state, and local funds. Included in this landscape is Head Start, a critical early childhood education (ECE) program that serves--in every state and territory--young children in families with incomes at or below the federal poverty line,…
Descriptors: Access to Education, Low Income Students, Social Services, Federal Programs
Ramon Flores; Daniel J. Losen – Civil Rights Project - Proyecto Derechos Civiles, 2024
Many educators in California are unaware of just how harmful out of school suspensions can be. When suspended students are barred from attending school, more often than not, the rule broken was some form of minor misconduct. This update of "Lost Instruction Time in California Schools" demonstrates that despite the important efforts by…
Descriptors: School Administration, Discipline, Homeless People, Youth
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Dan Goldhaber; Grace T. Falken; Roddy Theobald; Maia Goodman Young – Education Next, 2024
This article evaluates the applicability at the state and district level of web scraping--an automated data-extraction technique that regularly exports and refreshes data from the Internet--to provide a low-cost way to get a close-to-real-time snapshot of the demand side of the teacher labor market. Once set up, web scraping can quickly build and…
Descriptors: Teacher Shortage, Data Collection, Teacher Supply and Demand, Labor Market
Jack Bradstreet; Catherine Marren; Danny Price; Alex Stevenson; Ellen Wood – Learning and Work Institute, 2024
This review, commissioned by the West Midlands Combined Authority (WMCA), explored the extent to which investment in ESOL provision is meeting need in the region and how learner outcomes can be improved and accelerated. The research found that: (1) Demand for ESOL provision is outstripping supply, and demand is increasing each year; (2) Refugees,…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Educational Needs
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Ping Zhao; Chunling Sun; Baojun Lv; Lan Guo; Jiansheng Gao; Xin Zhao; Fengming Jiao – International Journal of Information and Communication Technology Education, 2024
This paper discusses the application value of the writing teaching mode combined with the mixed teaching mode in college English writing teaching against the background of big data. Focusing on production-oriented approach (POA) theory, this paper proposes a mixed learning writing model for English teaching and applies the POA mixed learning…
Descriptors: Writing Instruction, Blended Learning, Data Analysis, Data Collection
Rhett Nelson – Washington Office of Superintendent of Public Instruction, 2024
The Office of Superintendent of Public Instruction (OSPI) is required by RCW 28A.250.040 to report annually on online learning. This report uses data extracted from the Comprehensive Education Data and Research System (CEDARS). Key findings from the 2022-2023 school year include: (1) More students accessed online courses and more schools and…
Descriptors: Accountability, Online Courses, Educational Technology, Technology Uses in Education
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