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Wang, Chun; Nydick, Steven W. – Journal of Educational and Behavioral Statistics, 2020
Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve model and extended the assessment of growth to multidimensional IRT models and higher order IRT models. However, there is a lack of synthetic studies that clearly evaluate the strength and…
Descriptors: Item Response Theory, Longitudinal Studies, Comparative Analysis, Models
Cechinel, Cristian; Ochoa, Xavier; Lemos dos Santos, Henrique; Carvalho Nunes, João Batista; Rodés, Virginia; Marques Queiroga, Emanuel – British Journal of Educational Technology, 2020
The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and…
Descriptors: Data Analysis, Authors, Foreign Countries, Ethics
Chang, Dian-Fu; ChangTzeng, Hsiao-Chi – Studies in Higher Education, 2020
This study considers patterns of participation according to gender in post-mass higher education from the perspective of higher education expansion in Taiwan. Becker's "D" coefficient ("D") is used to detect the patterns of gender parity in a 'critical mass' field in higher education. The study compared participation in STEM…
Descriptors: Student Participation, Gender Issues, Humanities, STEM Education
Pangrazio, Luci; Sefton-Green, Julian – Learning, Media and Technology, 2020
This article examines the social utility of the concept, 'data literacy'. Recent developments in the processes of datafication challenge long-held assumptions about privacy and the role of both state and commerce in individual lives. Typically, these have been addressed through: "regulatory" legal constraints underwritten by the nation…
Descriptors: Data Analysis, Literacy, Privacy, Government Role
Khanal, Shristi Shakya; Prasad, P.W.C.; Alsadoon, Abeer; Maag, Angelika – Education and Information Technologies, 2020
The constantly growing offering of online learning materials to students is making it more difficult to locate specific information from data pools. Personalization systems attempt to reduce this complexity through adaptive e-learning and recommendation systems. The latter are, generally, based on machine learning techniques and algorithms and…
Descriptors: Electronic Learning, Barriers, Online Courses, Accuracy
Perez-Vergara, Kelly – Strategic Enrollment Management Quarterly, 2020
Institutional staff such as enrollment managers, business officers, and institutional researchers are often asked to predict enrollments. Developing any predictive model can be intimidating, particularly when there is no textbook to follow. This paper provides a practical framework for generating enrollment projection options and for evaluating…
Descriptors: Enrollment Projections, Enrollment Management, Enrollment Trends, Models
Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
Adrian, Daniel; Reischman, Diann; Anderson, Kirk; Richardson, Mary; Stephenson, Paul – Journal of Statistics Education, 2020
Maps are a primary method of displaying statistical data that comes from a geographical frame. Maps are esthetically appealing and make it easier to identify geographic patterns in a dataset. However, few introductory statistical texts and courses explicitly present maps as a way to display data. In this article, we will present examples of…
Descriptors: Statistics, Teaching Methods, Introductory Courses, Maps
Mau, Steffen – International Studies in Sociology of Education, 2020
The process of quantification is a powerful development shaping many domains of life today. In the area of education, for example, performance measurement, testing and ranking have become common tools of governance. Quantification is not a neutral way of describing society, but a process of valorisation. It has three sociologically relevant…
Descriptors: Statistical Analysis, Social Influences, Research Methodology, Evaluation Methods
McNair, Tia Brown; Bensimon, Estela Mara; Malcom-Piqueux, Lindsey – Association of American Colleges and Universities, 2020
Drawing from campus-based research projects sponsored by the AAC&U and the Center for Urban Education at the University of Southern California, "From Equity Talk to Equity Walk" provides practical guidance on the design and application of campus change strategies for achieving equitable outcomes. The authors offer advice on how to…
Descriptors: Equal Education, Higher Education, College Environment, Alignment (Education)
Education Commission of the States, 2020
Following a high-quality early care and pre-K experience, the kindergarten-through-third-grade years set the foundation upon which future learning builds; and strengthening this continuum creates opportunities for later success. Key components of a quality experience in K-3 include school readiness and transitions, kindergarten requirements,…
Descriptors: State Policy, Educational Policy, Primary Education, Student Evaluation
Fink, John; Jenkins, Davis – Community College Research Center, Teachers College, Columbia University, 2020
This guide presents examples and instructions for data analyses colleges can conduct to better understand student enrollments and completions in particular programs. Such analyses can help colleges scrutinize representation of historically marginalized groups in programs leading to greater opportunity after graduation. There is an equity…
Descriptors: Data Analysis, Enrollment, Graduation, College Programs
Švábenský, Valdemar; Baker, Ryan S.; Zambrano, Andrés; Zou, Yishan; Slater, Stefan – International Educational Data Mining Society, 2023
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…
Descriptors: Generalization, Computer Mediated Communication, MOOCs, State Universities
Krog, Hannah Anderson, Ed. – Bernan Press, 2023
This completely updated edition of "The Almanac of American Education" helps users understand and compare the quality of education at the national, state, and county levels. Compiled from official U.S. government sources, this book contains historical and current data, insightful analysis, and useful graphs that provide compelling…
Descriptors: Educational Quality, Geographic Location, Educational History, Data Analysis
Toste, Jessica R.; Logan, Jessica A. R.; Shogren, Karrie A.; Boyd, Brian A. – Exceptional Children, 2023
Group design research studies can provide evidence to draw conclusions about "what works," "for whom," and "under what conditions" in special education. The quality indicators introduced by Gersten and colleagues (2005) have contributed to increased rigor in group design research, which has provided substantial…
Descriptors: Research Design, Educational Research, Special Education, Educational Indicators