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Autenrieth, Maximilian; Levine, Richard A.; Fan, Juanjuan; Guarcello, Maureen A. – Journal of Educational Data Mining, 2021
Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…
Descriptors: Probability, Artificial Intelligence, Educational Research, Statistical Bias
Reyes, Erifer Fernandez; Popof, Evo – State Educational Technology Directors Association, 2023
This report captures state leaders' perspectives on various issues relating to education technology at this unique moment in time. To be more precise, the report provides an analysis of the feedback collected from state leaders through surveys administered in April and May 2023. It seeks to catalog the ways in which state education agencies are…
Descriptors: Educational Technology, Trend Analysis, Technology Uses in Education, Information Security
EdChoice, 2023
This poll was conducted between December 11-15, 2023 among a sample of 2,260 Adults. The interviews were conducted online and the data were weighted to approximate a target sample of Adults based on gender, educational attainment, age, race, and region. This report highlights: (1) views on K-12 education; (2) schooling and experiences; (3) K-12…
Descriptors: Adults, Parents, Public Opinion, Student Mobility
Holly Kurtz; Sterling Lloyd; Alex Harwin; Rachel Gong; Taylor Nichols – Editorial Projects in Education, 2024
In today's world, technology is ubiquitous and rapidly evolving. As it evolves and new challenges emerge, educators will be tasked with teaching students about healthy and responsible management of their online lives. From late December 2023 to early January 2024, the EdWeek Research Center conducted a survey of teachers, school leaders, and…
Descriptors: Student Welfare, Technology, Influence of Technology, Social Media
Kurtz, Holly; Lloyd, Sterling; Harwin, Alex; Daniels, Ashlee; Cheseldine, Sarah – Editorial Projects in Education, 2023
In a trend buoyed by new technology purchased to accommodate the remote learning necessitated by the coronavirus pandemic, educators are increasingly using devices and apps to teach core subjects, including math. This report examines perceptions and experiences of teachers, principals, and district leaders around the use of such tools for math…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Teacher Attitudes
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Sarsa, Sami; Leinonen, Juho; Hellas, Arto – Journal of Educational Data Mining, 2022
New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Memory
Greene Nolan, Hillary; Vang, Mai Chou – Digital Promise, 2023
Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…
Descriptors: Middle School Students, Grade 7, Grade 8, Predictor Variables
Kopack Klein, Ashley; Aikens, Nikki; Li, Ann; Bernstein, Sara; Reid, Natalie; Dang, Myley; Blesson, Elizabeth; Rakibullah, Sharikah; Scott, Myah; Cannon, Judy; Harrington, Jeff; Larson, Addison; Malone, Lizabeth; Tarullo, Louisa – Administration for Children & Families, 2021
Head Start is a national program that helps young children from families with low income get ready to succeed in school. The Head Start Family and Child Experiences Survey (FACES) is the premier source of national information about Head Start programs and participants. For more than two decades, FACES has been advancing the knowledge base about…
Descriptors: Children, Early Intervention, Preschool Education, Surveys
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
EdChoice, 2024
This poll was conducted between February 2-5, 2024 among a sample of 2,252 Adults. The interviews were conducted online and the data were weighted to approximate a target sample of Adults based on gender, educational attainment, age, race, and region. Results based on the full survey have a measure of precision of plus or minus 2.41 percentage…
Descriptors: Public Opinion, Parents, Parent Attitudes, Elementary Secondary Education
Board of Governors, State University System of Florida, 2024
The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…
Descriptors: State Universities, Accountability, Educational Finance, Enrollment
EdChoice, 2023
This poll was conducted between August 18-August 27, 2023 among a national sample of 1,000 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Results from the full survey have a measure of precision of plus or minus 3.3 percentage points. Among the…
Descriptors: Adolescents, Gender Differences, Age Differences, Racial Differences
Schleicher, Andreas; Achiron, Marilyn; Burns, Tracey; Davis, Cassandra; Tessier, Rebecca; Chambers, Nick – OECD Publishing, 2019
This report, the product of a collaboration between the Organisation for Economic Co-operation and Development (OECD) and the UK-based charity, Education and Employers, offers a glimpse of how children see their future, and the forces that, if properly understood and harnessed, will drive them forward to realise their dreams. Through concerted…
Descriptors: Educational Trends, Trend Analysis, Computer Uses in Education, Artificial Intelligence
EdChoice, 2023
This poll was conducted between March 24-April 5, 2023 among a national sample of 1,000 Teens. The interviews were conducted online and the data were weighted to approximate a target sample of Teens based on gender, age, race, and region. Among the key findings are: (1) Over 40 percent of teens have heard either a lot or some about ChatGPT, while…
Descriptors: Student Attitudes, Educational Attitudes, Gender Differences, Age Differences
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Kehoe, Margaret; Poulin-Dubois, Diane; Friend, Margaret – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study investigated within-language and between-language associations between phonological memory, vocabulary, and grammar in French-English (n = 43) and Spanish-English (n = 25) bilingual children at 30, 36, and 48 months. It was predicted that phonological memory would display both within-language and between-language relations to…
Descriptors: Bilingualism, Preschool Children, Foreign Countries, Longitudinal Studies
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