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Polikoff, Morgan – Center on Children and Families at Brookings, 2018
There is increasing momentum behind the idea that curriculum materials, including textbooks, represent a powerful lever for education reform. As funders are lining up and state leaders are increasing their policy attention on curriculum materials, this report discusses the very real challenges of this effort. The report draws on my experience over…
Descriptors: Instructional Materials, Textbooks, Educational Change, School Districts
Manly, Ian – ProQuest LLC, 2018
Many students have difficulty performing well in Calculus 1. Since Calculus 1 is often the first math course that people take in college, these difficulties can set a precedent of failure for these students. Using tools from data mining and interviews with Precalculus and Calculus 1 students, this work seeks to identify the different types of…
Descriptors: Mathematics Instruction, Calculus, College Mathematics, College Students
Ferreira, Sérgio André; Andrade, António – Education and Information Technologies, 2016
Investment in technological subsystems to support the activity of teaching and learning and the various areas of the life of Higher Education Institutions (HEI) is of increasing importance in the implementation of the policy and strategy of these organizations. Each of these subsystems collects a huge amount of data that, if properly organized,…
Descriptors: Higher Education, Technology Uses in Education, Data, Databases
Mizumoto, Atsushi; Plonsky, Luke – Applied Linguistics, 2016
In this article, we suggest that using R, a statistical software environment, is advantageous for quantitative researchers in applied linguistics. We first provide a brief overview of the reasons why R is popular among researchers in other fields and why we recommend its use for analyses in applied linguistics. In order to illustrate these…
Descriptors: Statistical Analysis, Applied Linguistics, Computer Software, Data Analysis
Mahroeian, Hamidreza; Daniel, Ben Kei – Journal of Educational Multimedia and Hypermedia, 2016
Over the years, a number of institutions have systematically deployed new technologies to support learning and teaching. Lately, institutions have begun to explore new forms of data in order to understand and effectively address its systemic challenges, and help support effective decision-making. This paper describes the dynamic changes in the…
Descriptors: Higher Education, Data Analysis, Educational Technology, Decision Making
Schwartz, Allan J. – Journal of College Student Psychotherapy, 2016
Among the approaches that have been used to balance the demand for services with the agency's service resources is to limit the number of visits available to clients. Such limits have been introduced, however, without any empirical basis for estimating the impact of a limit on the overall demand for services or the proportion of clients. The…
Descriptors: College Students, Counseling Services, Probability, Persistence
Chen, Bodong; Zhang, Jianwei – Journal of Learning Analytics, 2016
Innovation and knowledge creation call for high-level epistemic agency and design-mode thinking, two competencies beyond the traditional scopes of schooling. In this paper, we discuss the need for learning analytics to support these two competencies, and more broadly, the demand for education for innovation. We ground these arguments on a…
Descriptors: Epistemology, Educational Research, Data Collection, Data Analysis
Coben, Diana; Miller-Reilly, Barbara; Satherley, Paul; Earle, David – Adults Learning Mathematics, 2016
The Programme for the International Assessment of Adult Competencies (PIAAC) assesses key information processing skills and collects information on how often people undertake a range of activities at work and in everyday life. We are exploring what secondary analysis of online anonymised PIAAC data can tell us about adults' numeracy practices. In…
Descriptors: Adults, International Assessment, Numeracy, Access to Information
Bliss, Linda A. – International Journal of Adult Vocational Education and Technology, 2016
The purpose of this article is to introduce readers to phenomenological inquiry, an inductive qualitative research approach that is rooted in the philosophical proposition that researchers can gain valuable insight into the structure of how people understand their experiences. It is assumed that there is a structure or essence to the meaning…
Descriptors: Phenomenology, Qualitative Research, Research Methodology, Experience
Sun, Xiao-Ming – Journal of Speech, Language, and Hearing Research, 2016
Purpose: The purpose of this study was to present normative data of tympanometric measurements of wideband acoustic immittance and to characterize wideband tympanograms. Method: Data were collected in 84 young adults with strictly defined normal hearing and middle ear status. Energy absorbance (EA) was measured using clicks for 1/12-octave…
Descriptors: Acoustics, Test Reliability, Adults, Hearing (Physiology)
Newcomer, Kathryn; Brass, Clinton T. – American Journal of Evaluation, 2016
The "performance movement" has been a subject of enthusiasm and frustration for evaluators. Performance measurement, data analytics, and program evaluation have been treated as different tasks, and those addressing them speak their own languages in their own circles. We suggest that situating performance measurement and data analytics…
Descriptors: Program Evaluation, Performance, Measurement, Data Analysis
Cope, Bill; Kalantzis, Mary – AERA Open, 2016
The prospect of "big data" at once evokes optimistic views of an information-rich future and concerns about surveillance that adversely impacts our personal and private lives. This overview article explores the implications of big data in education, focusing by way of example on data generated by student writing. We have chosen writing…
Descriptors: Educational Research, Formative Evaluation, Summative Evaluation, Data Analysis
Hijazi, Sam – Association Supporting Computer Users in Education, 2016
Universities need to keep up with the demand of the business world when it comes to Big Data. The exponential increase in data has put additional demands on academia to meet the big gap in education. Business demand for Big Data has surpassed 1.9 million positions in 2015. Big Data, Business Intelligence, Data Analytics, and Data Mining are the…
Descriptors: Data Collection, Data Analysis, Computer Software, Spreadsheets
Lu, Jing – INFORMS Transactions on Education, 2020
In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies. In UK higher education, degree apprenticeships are business-led and government-supported nationally recognized qualifications, where delivery is tailored to partner employer…
Descriptors: Data Analysis, Information Systems, Information Management, Data Use
McGrath, Kathleen V.; Leighton, Elizabeth A.; Ene, Mihaela; DiStefano, Christine; Monrad, Diane M. – Educational and Psychological Measurement, 2020
Survey research frequently involves the collection of data from multiple informants. Results, however, are usually analyzed by informant group, potentially ignoring important relationships across groups. When the same construct(s) are measured, integrative data analysis (IDA) allows pooling of data from multiple sources into one data set to…
Descriptors: Educational Environment, Meta Analysis, Student Attitudes, Teacher Attitudes

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