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Lonn, Steven; McKay, Timothy A.; Teasley, Stephanie D. – New Directions for Higher Education, 2017
This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…
Descriptors: Institutional Characteristics, Statistical Data, Data Analysis, Capacity Building
Ahmadi, Mohammad; Dileepan, Parthasarati; Wheatley, Kathleen K. – Journal of Education for Business, 2016
This is the decade of data analytics and big data, but not everyone agrees with the definition of big data. Some researchers see it as the future of data analysis, while others consider it as hype and foresee its demise in the near future. No matter how it is defined, big data for the time being is having its glory moment. The most important…
Descriptors: Strategic Planning, Data, Data Analysis, Statistical Analysis
Feldman, Bernard J. – Physics Teacher, 2014
Given that transportation is an essential topic in any Physics and Society or Energy course, it is necessary to have useful statistics on transportation in order to have a reasoned discussion on this topic. And a major component of the transportation picture is the automobile. This paper presents updated transportation statistics for American…
Descriptors: Statistics, Auto Mechanics, Motor Vehicles, Transportation
Kangas, Jari; Rantanen, Elisa; Kettunen, Lauri – European Journal of Engineering Education, 2017
Most freshmen enter universities with high expectations and with good motivation, but too many are driven into performing instead of true learning. The issues are not only related to the challenge of comprehending the substance, social and other factors have an impact as well. All these multifaceted needs should be accounted for to facilitate…
Descriptors: College Freshmen, Transitional Programs, Statistical Data, Longitudinal Studies
McNeish, Daniel; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
To date, small sample problems with latent growth models (LGMs) have not received the amount of attention in the literature as related mixed-effect models (MEMs). Although many models can be interchangeably framed as a LGM or a MEM, LGMs uniquely provide criteria to assess global data-model fit. However, previous studies have demonstrated poor…
Descriptors: Growth Models, Goodness of Fit, Error Correction, Sampling
Kajitani, Alex – Educational Horizons, 2015
In this article, the author argues that student data is more than just test scores. Alex Kajitani notes that data matter because they provide crucial information to teachers that enable them to better serve their students. Teachers can use data to determine students' strengths and areas of need. The effective use of data means being able to…
Descriptors: Student Records, Scores, Statistical Data, Information Utilization
Langston, Randall; Wyant, Robert; Scheid, Jamie – Strategic Enrollment Management Quarterly, 2016
Both an art and a science, enrollment projections have become a major component to effective college and university fiscal planning. With stagnant or declining state budget support for public higher education along with an increasing emphasis on revenue generation, never before has predicting the size of an entering class become more imperative.…
Descriptors: Enrollment Management, Strategic Planning, Statistical Data, Predictor Variables
National Centre for Vocational Education Research (NCVER), 2016
This publication provides a summary of data relating to students, programs, subjects, and training providers in Australia's government-funded vocational education and training (VET) system (defined as Commonwealth and state/territory government funded training). This is the first time that government-funded data from one quarter is compared with…
Descriptors: Foreign Countries, Vocational Education, Statistical Data, Student Characteristics
Oregon Department of Education, 2016
Oregon continues to make gains in its on-time high school graduation rate. The rate increased to 74% for the 2014-15 school year--up from 72% the year before. The graduation rate for almost all student groups rose, led by Hispanic students (2.4 percentage points) and Black students (2.4 percentage points). The rate for economically disadvantaged…
Descriptors: High School Graduates, Graduation Rate, Achievement Gains, Gender Differences
Bittner, Teresa L. – Teaching Statistics: An International Journal for Teachers, 2013
Although researchers have documented that some data make larger contributions than others to predictions made with least squares models, it is relatively unknown that some data actually make no contribution to the predictions produced by these models. This article explores such noncontributory data. (Contains 1 table and 2 figures.)
Descriptors: Least Squares Statistics, Prediction, Models, Statistical Data
Magsumov, Timur A.; Artemova, Svetlana F.; Balanyuk, Leonid L. – European Journal of Contemporary Education, 2018
The article deals with regional problems of primary education in the Vyatka province of the Russian Empire during the period of 1869-1878. The author pays attention to the development of one-year and two-year schools, reveals the characteristic features of education development and takes into account regional specifics. The Complete Collection of…
Descriptors: Public Schools, Educational Quality, Foreign Countries, Elementary Education
Shores, Kenneth; Steinberg, Matthew P. – Stanford Center for Education Policy Analysis, 2017
The Great Recession was the most severe economic downturn in the United States since the Great Depression. Using newly available population-level achievement data from the Stanford Education Data Archive (SEDA), we estimate the impact of the Great Recession on the math and English language arts (ELA) achievement of all grade 3-8 students in the…
Descriptors: Economic Impact, Academic Achievement, Language Arts, Mathematics Achievement
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
This publication presents estimates of apprentice and trainee activity in Australia for the September quarter 2016. Highlights include: (1) In-training as at 30 September 2016--There were 278,500 apprentices and trainees in-training as of 30 September 2016, a decrease of 5.7% from 30 September 2015; (2) Quarterly training activity--In the…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees
National Centre for Vocational Education Research (NCVER), 2017
Apprentice and trainee data are reported by the State and Territory Training Authorities to NCVER on a quarterly basis, starting at the September quarter of 1994. The set of data submitted that quarter is referred to as Collection 1. The sets of data submitted in subsequent quarters are referred to as Collection 2, Collection 3 and so on. NCVER…
Descriptors: Vocational Education, Statistical Data, Apprenticeships, Trainees