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Pugh, Samuel L.; Subburaj, Shree Krishna; Rao, Arjun Ramesh; Stewart, Angela E. B.; Andrews-Todd, Jessica; D'Mello, Sidney K. – International Educational Data Mining Society, 2021
We investigated the feasibility of using automatic speech recognition (ASR) and natural language processing (NLP) to classify collaborative problem solving (CPS) skills from recorded speech in noisy environments. We analyzed data from 44 dyads of middle and high school students who used videoconferencing to collaboratively solve physics and math…
Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students
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Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
William R. Piening – ProQuest LLC, 2021
Teachers in today's society are having increasing difficulties with Individualized Education Program (IEP) implementation because teachers struggle with assessing data, designing instruction to fit individual needs, providing accommodations, and working as a team with a general education teacher in a co-teaching environment (Cawthon, 2009; Kosko…
Descriptors: Individualized Education Programs, Special Education, Special Education Teachers, Teacher Attitudes
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Diament, Sean M.; Howat, Adam J.; Lacombe, Matthew J. – Journal of Political Science Education, 2017
Many core graduate-level seminars claim to expose students to their discipline's "canon." The contents of this canon, however, can and do differ across departments and instructors. This project employs a survey of core American politics PhD seminar syllabi at highly ranked universities to construct a systematic account of the American…
Descriptors: Political Science, Core Curriculum, Course Descriptions, Graduate Study
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Khamparia, Aditya; Pandey, Babita – Education and Information Technologies, 2017
Ontologies are emerging as best representation techniques for knowledge based context domains. The continuing need for interoperation, collaboration and effective information retrieval has lead to the creation of semantic web with the help of tools and reasoners which manages personalized information. The future of semantic web lies in an ontology…
Descriptors: Semantics, Internet, Information Retrieval, Programming Languages
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Impedovo, Maria Antonietta; Andreucci, Colette; Ginestié, Jacques – International Journal of Technology and Design Education, 2017
In this article we present a review of literature on the concept of Artefact, Tool and Technical Object in the light of sociocultural approach. Particular attention is given to present and discuss the French research tradition on the Technical Object and Technological education. The aim is to give a broad perspective to explore the mediation…
Descriptors: Sociocultural Patterns, Technology Education, Teaching Methods, Classification
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McCloskey, George – Journal of Psychoeducational Assessment, 2017
This commentary will take an historical perspective on the Kaufman Test of Educational Achievement (KTEA) error analysis, discussing where it started, where it is today, and where it may be headed in the future. In addition, the commentary will compare and contrast the KTEA error analysis procedures that are rooted in psychometric methodology and…
Descriptors: Achievement Tests, Error Patterns, Comparative Analysis, Psychometrics
Albaqshi, Amani Mohammed H. – ProQuest LLC, 2017
Functional Data Analysis (FDA) has attracted substantial attention for the last two decades. Within FDA, classifying curves into two or more categories is consistently of interest to scientists, but multi-class prediction within FDA is challenged in that most classification tools have been limited to binary response applications. The functional…
Descriptors: Least Squares Statistics, Regression (Statistics), Statistical Analysis, Data Analysis
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Aspiranti, Kathleen B.; McCleary, Daniel F.; Ratliff, Stephen R. – Psychology in the Schools, 2018
This study analyzed articles published in four school psychology journals ("Journal of School Psychology," "Psychology in the Schools," "School Psychology Quarterly," and "School Psychology Review") between the years 2009 and 2015. Articles were classified based on whether they were narrative or empirical,…
Descriptors: School Psychology, Periodicals, Evidence Based Practice, Journal Articles
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Ning, Ling; Luo, Wen – Journal of Experimental Education, 2018
Piecewise GMM with unknown turning points is a new procedure to investigate heterogeneous subpopulations' growth trajectories consisting of distinct developmental phases. Unlike the conventional PGMM, which relies on theory or experiment design to specify turning points a priori, the new procedure allows for an optimal location of turning points…
Descriptors: Statistical Analysis, Models, Classification, Comparative Analysis
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Harel, Daphna; Steele, Russell J. – Journal of Educational and Behavioral Statistics, 2018
Collapsing categories is a commonly used data reduction technique; however, to date there do not exist principled methods to determine whether collapsing categories is appropriate in practice. With ordinal responses under the partial credit model, when collapsing categories, the true model for the collapsed data is no longer a partial credit…
Descriptors: Matrices, Models, Item Response Theory, Research Methodology
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Diao, Hongyu; Sireci, Stephen G. – Journal of Applied Testing Technology, 2018
Whenever classification decisions are made on educational tests, such as pass/fail, or basic, proficient, or advanced, the consistency and accuracy of those decisions should be estimated and reported. Methods for estimating the reliability of classification decisions made on the basis of educational tests are well-established (e.g., Rudner, 2001;…
Descriptors: Classification, Item Response Theory, Accuracy, Reliability
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Balkar, Betul; Kalman, Mahmut – Educational Policy Analysis and Strategic Research, 2018
The present study aimed at determining the planner profiles of school administrators' through unearthing their beliefs and understandings towards strategic planning by adopting a typological perspective. The exploratory descriptive approach was employed in the research. The research was conducted with the participation of 21 school administrators…
Descriptors: Strategic Planning, Administrator Attitudes, Classification, Profiles
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Liu, Ren – Educational and Psychological Measurement, 2018
Attribute structure is an explicit way of presenting the relationship between attributes in diagnostic measurement. The specification of attribute structures directly affects the classification accuracy resulted from psychometric modeling. This study provides a conceptual framework for understanding misspecifications of attribute structures. Under…
Descriptors: Diagnostic Tests, Classification, Test Construction, Relationship
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Arnold, Christine Helen; Wheelahan, Leesa; Moodie, Gavin; Beaulieu, Jacqueline; Taylor-Cline, Jean-Claude – Journal of Education and Work, 2018
This research explores links between tertiary education institutions and between tertiary education and the labour market as determinants of provincial and national transition patterns in Canada. The study consists of a provincial analysis that maps the typology of transition systems across Canada's devolved federated tertiary education structure.…
Descriptors: Classification, Vocational Education, Labor Market, Transitional Programs
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