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Winne, Philip H. – Frontline Learning Research, 2020
This special issue's editors invited discussion of three broad questions. Slightly rephrased, they are: How well do self-report data represent theoretical constructs? How should analyses of data be conditioned by properties of self report data? In what ways do interpretations of self-report data shape interpretations of a study's findings? To…
Descriptors: Data Analysis, Measurement Techniques, Data Collection, Protocol Analysis
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Leighton, Jacqueline P. – Applied Measurement in Education, 2021
The objective of this paper is to comment on the think-aloud methods presented in the three papers included in this special issue. The commentary offered stems from the author's own psychological investigations of unobservable information processes and the conditions under which the most defensible claims can be advanced. The structure of this…
Descriptors: Protocol Analysis, Data Collection, Test Construction, Test Validity
Goldhaber, Dan; Holden, Kris – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2020
Understanding the nature of the "early teacher pipeline," how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, we conclude that the two national data collections that can be used to explore the early teacher pipeline provide an incomplete and contrasting pictures of the supply…
Descriptors: Preservice Teachers, Teacher Supply and Demand, Problems, Information Systems
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Rossman, Allan; Cochran, James J. – Journal of Statistics Education, 2018
James J. Cochran is Professor of Applied Statistics, Rogers-Spivey Faculty Fellow, and Associate Dean for Research in the Culverhouse College of Commerce at the University of Alabama. He is a Fellow of the American Statistical Association and of Institute for Operations Research and Management Sciences. He is also a recipient of the INFORMS Prize…
Descriptors: Occupational Aspiration, College Faculty, Business Administration Education, Statistics
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Sullivan, Alice – International Journal of Social Research Methodology, 2020
This article replies to the responses to my article on "Sex and the Census: Why surveys should not conflate sex and gender identity". Fugard conflates sex itself with the characteristics associated with sex, such as finger length ratios, leading to the erroneous implication that binary sex is not a useful explanatory variable. Hines…
Descriptors: Foreign Countries, National Surveys, Census Figures, Test Items
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Hoppe, H. Ulrich – Journal of Learning Analytics, 2015
This commentary elaborates on the role of "grounding" as a focal theoretical concept and aims to contextualize the claims formulated by Schneider and Pea (2015, this issue) in previous CSCL discussions. It provides fingerposts for enriching and refining the concept of grounding from a pedagogical point of view. It also suggests using the…
Descriptors: Eye Movements, Interaction, Cooperative Learning, Semantics
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Hutt, Ethan L. – Journal of Education for Students Placed at Risk, 2018
In this article, the author highlights a recurrent issue related to the historical measurement and use of attendance data: The challenge of producing uniform and reliable records on school attendance. Comparing this issue in the late 1800s to nearly two centuries later, he observes that while the capacity for record keeping and analysis has…
Descriptors: Attendance, Records (Forms), Average Daily Attendance, Attendance Patterns
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Tshuma, Nompilo – Learning, Media and Technology, 2021
This article reflects on the tensions I encountered as an insider researcher during a qualitative study exploring academics' integration of educational technology in a South African higher education institution. While critical qualitative approaches acknowledge research participants' vulnerability to the researcher's interpretation and…
Descriptors: Educational Technology, Technology Integration, Educational Researchers, Doctoral Students
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Ellis, Cath – British Journal of Educational Technology, 2013
Learning analytics is a relatively new field of inquiry and its precise meaning is both contested and fluid (Johnson, Smith, Willis, Levine & Haywood, 2011; LAK, n.d.). Ferguson (2012) suggests that the best working definition is that offered by the first Learning Analytics and Knowledge (LAK) conference: "the measurement, collection,…
Descriptors: Data, Data Analysis, Students, Student Evaluation
National Council of Teachers of English, 2016
In 1995, the National Council of Teachers of English (NCTE) issued the Resolution on Electronic Online Services in support of making online resources available to students. In 1998, NCTE issued the Resolution on Testing and Equitable Treatment of Students in support of students' well-being in assessment development and administration. In light of…
Descriptors: Student Rights, Privacy, Student Records, Information Security
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Hewitt, Jim – Journal of Learning Analytics, 2015
The article, "Distributed Revisiting: An Analytic for Retention of Coherent Science Learning" is an interesting study that operates at the intersection of learning theory and learning analytics. The authors observe that the relationship between learning theory and research in the learning analytics field is constrained by several…
Descriptors: Retention (Psychology), Science Education, Educational Research, Data Collection
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Metz, Kelly K. – Odyssey: New Directions in Deaf Education, 2017
Educators of deaf and hard of hearing students must close the gap that too often exists between a student's grade level and his or her actual achievement. Delays in developing and using English can lead naturally to delays in overall academic performance, and sometimes the gap between the student's grade level and his or her academic performance…
Descriptors: Deafness, Hearing Impairments, Success, Teacher Expectations of Students
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Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
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Chen, Bodong – Journal of Learning Analytics, 2015
In this commentary on Van Leeuwen (2015, this issue), I explore the relation between theory and practice in learning analytics. Specifically, I caution against adhering to one specific theoretical doctrine while ignoring others, suggest deeper applications of cognitive load theory to understanding teaching with analytics tools, and comment on…
Descriptors: Data Collection, Data Analysis, Theory Practice Relationship, Learning Theories
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Pratt, John – Higher Education Review, 2013
According to researchers at the University of Southern California (Washington Post, 2011), the world's storage capacity for digital data increased from 0.2 billion gigabytes in 1986 to 276 billion gigabytes by 2007 (at the same time analogue storage capacity increased from 2.6 to 18.9 billion gigabytes). This huge growth is often seen in…
Descriptors: Information Storage, Information Management, Educational Research, Archives
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