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Hwang, Gwo-Jen; Tu, Yun-Fang; Tang, Kai-Yu – International Review of Research in Open and Distributed Learning, 2022
This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Electronic Learning, Educational Research, Data Analysis
Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…
Descriptors: Prediction, Statistics Education, Data Analysis, Learning Analytics
Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
Baker, Vicki D. – Texas Music Education Research, 2012
The purpose of this study was to track the gender makeup of the five string sections (Violin 1, Violin 2, Viola, Cello, and String Bass) of Texas Music Educators Association (TMEA) All-State Orchestras from 1971 to 2010, to determine if a clear gender stereotype was evident in any of the sections and if there had been a trend towards a change in…
Descriptors: Gender Differences, Music, Musicians, Musical Instruments
Cunningham, Alisa – Change: The Magazine of Higher Learning, 2007
What people know about higher education may depend on which data they look at and how they examine them. Responsible analysts should present a full picture of their sources of data and the limitations of those sources, restricting their conclusions to those that the data genuinely warrant. When new research conflicts with previous results, enough…
Descriptors: Educational Assessment, Higher Education, Data Analysis, Context Effect
State Higher Education Executive Officers, 2010
Complete College America and FutureWorks conducted an analysis of certificate production, the value of the certificate program, and the economic benefit it provides to the region and nation. The conclusion, based on labor market demand and both personal and economic returns, is that certificates count and the policy and trends around certificates…
Descriptors: Educational Attainment, State Policy, Education Work Relationship, Educational Trends

Richards, Stephen B.; Taylor, Ronald L.; Ramasamy, Rangasamy – Psychology in the Schools, 1997
Using the split-middle methods of trend estimation, evaluates the accuracy of interpretation of single subject data by comparing raters' visual analysis of behavior change with statistical determination of behavior change. Results indicate visual analysis accuracy was less than chance. Rater and student characteristics largely did not affect the…
Descriptors: Data Analysis, Data Interpretation, Inferences, Research Problems
Bezuidenhout, J. J. – 1986
The purpose of this research project was to compile and analyze data concerning the composition and geographic distribution of South Africa's population for the purpose of future educational planning to meet the needs of four population groups. This document contains statistics and conclusions on: (1) the role of population shifts and…
Descriptors: Comparative Analysis, Comparative Education, Data Analysis, Data Interpretation
General Accounting Office, Washington, DC. – 1985
To compile its projections of future employment levels, the Bureau of Labor Statistics (BLS) combines the following five interlinked models in a six-step process: a labor force model, an econometric model of the U.S. economy, an industry activity model, an industry labor demand model, and an occupational labor demand model. The BLS was asked to…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Employment Projections
Milam, John – 1998
This study examines some of the literature on college faculty supply and demand and asks whether it is possible to adopt assumptions from the previous research to construct a complex model of faculty workforce using the available data. The study involved a comprehensive review of the literature; numerous interviews conducted by telephone, e-mail,…
Descriptors: College Faculty, Data Analysis, Data Interpretation, Databases
National Academy of Sciences - National Research Council, Washington, DC. Commission on Life Sciences. – 1990
A report submitted by the Committee on Sea Turtle Conservation, addresses threats to the world's sea turtle populations to fulfill a mandate of the Endangered Species Act Amendments of 1988. It presents information on the populations, biology, ecology, and behavior of five endangered or threatened turtle species: the Kemp's ridley, loggerhead,…
Descriptors: Conservation Education, Conservation (Environment), Data, Data Analysis
Bachman, Jerald G.; Schulenberg, John – 1992
This study is intended to assess the changing lifestyles, values, and preferences of American youth on a continuing basis. Each year since 1975, about 17,000 seniors have participated in the survey, which is conducted in about 130 high schools nationwide. In addition, subsamples of seniors from previously participating classes receive follow-up…
Descriptors: Behavior Change, Behavior Patterns, Behavioral Science Research, Data Analysis
Bachman, Jerald G.; O'Malley, Patrick, M.; Johnston, Lloyd D.; Rodgers, Willard L.; Schulenberg, John E.; Lim, Jeannette; Wadsworth, Kate N. – 1996
This paper is a companion to the book, "Smoking, Drinking, and Drug Use in Young Adulthood: The Impacts of New Freedoms and New Responsibilities," by Bachman, Wadsworth, O'Malley, Johnston, and Schulenberg (1997). The book attempts to disentangle the effects of post-high school roles on drug use by conducting a variety of analyses on…
Descriptors: Behavior Change, Behavior Patterns, Behavioral Science Research, Cultural Context
Bachman, Jerald G.; Wadsworth, Katherine N.; O'Malley, Patrick M.; Johnston, Lloyd D.; Schulenberg, John E. – 1997
This book focuses on transitions into young adulthood by examining key roles and experiences of young adults and how they relate to changes in drug use. The findings are based on the nationwide Monitoring the Future project, and represent the majority of individuals who entered young adulthood in the United States during the years 1976 through…
Descriptors: Adolescent Development, Behavior Change, Behavior Patterns, Behavioral Science Research
Johnston, Lloyd D.; O'Malley, Patrick M.; Schulenberg, John; Bachman, Jerald G. – 1996
This paper presents information from the ongoing research program, Monitoring the Future. The program is designed to: (1) monitor drug use and potential explanatory factors among American secondary school students, and other young adults; (2) distinguish which of three different kinds of change--maturational, historical, and/or cohort are…
Descriptors: Adolescent Development, Adults, Behavior Change, Behavior Patterns