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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
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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
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Wang, Jue; Engelhard, George, Jr. – Measurement: Interdisciplinary Research and Perspectives, 2016
The authors of the focus article describe an important issue related to the use and interpretation of causal indicators within the context of structural equation modeling (SEM). In the focus article, the authors illustrate with simulated data the effects of omitting a causal indicator. Since SEMs are used extensively in the social and behavioral…
Descriptors: Structural Equation Models, Measurement, Causal Models, Construct Validity
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Twing, Jon S. – Assessment in Education: Principles, Policy & Practice, 2016
This special issue of "Assessment in Education" contains the type of debate needed about what Cizek (2015) calls a "… lingering flaw in the concept of validity…." Some practitioners might not agree that the current theory of validation is flawed. Specifically, the debate Jon Twing is referencing concerns the role of the…
Descriptors: Test Validity, Misconceptions, Evidence, Scores
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Hao, Jiangang; Smith, Lawrence; Mislevy, Robert; von Davier, Alina; Bauer, Malcolm – ETS Research Report Series, 2016
Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…
Descriptors: Evaluation Methods, Games, Computer Assisted Testing, Data Collection
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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
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Sarkar, Jyotirmoy; Rashid, Mamunur – Teaching Statistics: An International Journal for Teachers, 2016
The sample mean is sometimes depicted as a fulcrum placed under the Dot plot. We provide an alternative geometric visualization of the sample mean using the empirical cumulative distribution function or the cumulative histogram data.
Descriptors: Geometric Concepts, Geometry, Numbers, Statistical Distributions
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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
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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
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Keller, Bryan; Chen, Jianshen – Society for Research on Educational Effectiveness, 2016
Observational studies are common in educational research, where subjects self-select or are otherwise non-randomly assigned to different interventions (e.g., educational programs, grade retention, special education). Unbiased estimation of a causal effect with observational data depends crucially on the assumption of ignorability, which specifies…
Descriptors: Computation, Influences, Observation, Data
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Barlow, Sarah – Australian Journal of Music Education, 2018
Education in Australia is driven by measurement of progress. Music education, however, requires students to engage in creative and experiential tasks. This article will address the inevitable conflicts between these two by suggesting that measurements of student work in fine detail can be made within a practical and engaging classroom without…
Descriptors: Student Evaluation, Learner Engagement, Music Education, Foreign Countries
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Neutuch, Eric – Journal of College Admission, 2018
The National Association for College Admission Counseling (NACAC) Statement on Counselor Competencies defines college counselors' responsibilities as including "collaborat[ing] with teachers, administrators, and other educators." The experiences of longtime college counselors, showcase many best practices for working with teachers to…
Descriptors: Educational Counseling, High School Teachers, College Choice, College Admission
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Ergül, N. Remziye – Universal Journal of Educational Research, 2018
Data and graphic analysis and interpretation are important parts of science process skills and science curriculum. So it refers to visual display of data using relevant graphical representations. One of the tools used in science courses is graphics for explain the relationship among each of the concepts and therefore it is important to know data…
Descriptors: Preservice Teachers, Science Teachers, Student Attitudes, Data Interpretation
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Stirk, Steven; Field, Bryony; Black, Jessica – Journal of Applied Research in Intellectual Disabilities, 2018
Background: The Learning Disability Screening Questionnaire (LDSQ) has been shown to have high sensitivity and specificity to identify those who are likely to meet intellectual disability diagnostic criteria (McKenzie, et al. [McKenzie K., 2015]). However, there is no independent research to date to support these findings. Materials and Methods:…
Descriptors: Learning Disabilities, Questionnaires, Screening Tests, Diagnostic Tests
Shields, Julie – Communique, 2018
While working in the Social and Emotional Support Services (SESS) for Montgomery County Public Schools in Maryland (MCPS), the author initiated a project to collect data on services to students with emotional needs. During the 2016-2017 school year, MCPS was the 17th largest school district in the country with nearly 160,000 students speaking 150…
Descriptors: Technology Uses in Education, Program Administration, Database Management Systems, Psychological Needs
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