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Andrew Shlesinger; Frank Bird; Jill M. Harper; James K. Luiselli; Melmark New England – Journal of Developmental and Physical Disabilities, 2022
We describe a computer-assisted program for conducting well-body assessments of children with neurodevelopmental disabilities attending a private special education school. Classroom instructors completed daily assessments to detect the presence of bodily injuries and other skin trauma, determine the need for medical treatment, and monitor healing…
Descriptors: Neurodevelopmental Disorders, Students with Disabilities, Private Schools, Special Schools
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Vladimir S. Osipov; Nikolai I. Berzon; Maksim M. Novikov; Maxim A. Korkin; Stanislav O. Pityev – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The paper aims to identify the new requirements of young people for education in the digital economy of the future and, considering these requirements, identify the attractiveness of higher education programs on training digital personnel to work with breakthrough technologies among young people in Central Asia and Russia. The authors conduct a…
Descriptors: Higher Education, Foreign Countries, Labor Force Development, College Programs
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Dun, Yijie; Wang, Na; Wang, Min; Hao, Tianyong – International Journal of Distance Education Technologies, 2017
In a question-answering system, learner generated content including asked and answered questions is a meaningful resource to capture learning interests. This paper proposes an approach based on question topic mining for revealing learners' concerned topics in real community question-answering systems. The authors' approach firstly preprocesses all…
Descriptors: Natural Language Processing, Information Retrieval, Data Processing, Pattern Recognition
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Stewart, Jesse; Kohlberger, Martin – Language Documentation & Conservation, 2017
Existing methods for collecting and analyzing nasality data are problematic for linguistic fieldworkers: aerodynamic equipment can be expensive and difficult to transport, and acoustic analyses require large amounts of optimally-recorded data. In this paper, a highly mobile and low-cost method is proposed. By connecting low impedance earbuds into…
Descriptors: Data Collection, Data Analysis, Acoustics, Electromechanical Technology
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Klingler, Severin; Wampfler, Rafael; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2017
Gathering labeled data in educational data mining (EDM) is a time and cost intensive task. However, the amount of available training data directly influences the quality of predictive models. Unlabeled data, on the other hand, is readily available in high volumes from intelligent tutoring systems and massive open online courses. In this paper, we…
Descriptors: Classification, Artificial Intelligence, Networks, Learning Disabilities
Ruedel, Kristin; Nelson, Gena; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2017
Many states struggle with collecting reliable and valid state-level data that can be leveraged to maximize the use of funds. This is particularly challenging when providing early intervention services in states where Medicaid uses clinic rates that are lower than the natural environment rates covered by state or federal Part C funds. This state…
Descriptors: Data Use, Data Analysis, Educational Finance, Early Intervention
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Sirinides, Philip; Coffey, Missy – State Education Standard, 2018
Americans share an expectation that government will serve the common good, creating inescapable pressure for public agencies--especially those that serve young children--to perform well. Yet education and human services agencies continually struggle to respond to the complex conditions in which children are born. How can they address the practical…
Descriptors: Early Childhood Education, Evidence Based Practice, Decision Making, Educational Policy
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Gagliardi, Jonathan; Parnell, Amelia; Carpenter-Hubin, Julie – Change: The Magazine of Higher Learning, 2018
Over the last two years, more data was created than in the entire previous history of humankind (IBM, 2016; Marr, 2016). Roughly 1.7 megabytes of new information will be created every second for every person on earth by the turn of the decade (Evans, 2011; Gantz & Reinsel, 2012; Marr, 2016). Data are created continuously and at a rate that is…
Descriptors: Data Collection, Data Analysis, Higher Education, Decision Making
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Corby, Deirdre; Taggart, Laurence; Cousins, Wendy – Journal of Intellectual Disabilities, 2018
Including the inner perspectives of people who have intellectual disability can pose methodological challenges to qualitative researchers. This article explains how the Listening Guide was applied as an additional step in the analysis during a study which used hermeneutic interviews with people with intellectual disability as the sole method of…
Descriptors: Intellectual Disability, Developmental Disabilities, Poetry, Qualitative Research
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Bodily, Robert; Ikahihifo, Tarah K.; Mackley, Benjamin; Graham, Charles R. – Journal of Computing in Higher Education, 2018
We have designed, developed, and implemented a student-facing learning analytics dashboard in order to support students as they learn in online environments. There are two separate dashboards in our system: a content recommender dashboard and a skills recommender dashboard. The content recommender helps students identify gaps in their content…
Descriptors: Data Collection, Data Analysis, Online Courses, Educational Technology
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de Smet, Milou J. R.; Leijten, Mariëlle; Van Waes, Luuk – Written Communication, 2018
This study aims to explore the process of reading during writing. More specifically, it investigates whether a combination of keystroke logging data and eye tracking data yields a better understanding of cognitive processes underlying fluent and nonfluent text production. First, a technical procedure describes how writing process data from the…
Descriptors: College Students, Reading Processes, Writing Processes, Eye Movements
Beshara-Blauth, Alexa M. – ProQuest LLC, 2018
Community colleges are continually being faced with pressures to use data to inform decisions. These pressures arise from a triage of factors, including accountability, accreditation, and student success initiatives. Yet, as these demands continue, research has shown that community colleges struggle to institutionalize data-informed decision…
Descriptors: Decision Making, Community Colleges, Accountability, Accreditation (Institutions)
Baird, Francine M. – ProQuest LLC, 2018
This study examined the effects of John Kotter's Eight Steps for Successful Change framework and strategies in systems implementation in a secondary educational environment. Teachers' perceptions of the effectiveness of Kotter's strategies used by their administrative team to support positive change were examined. The study evaluated data provided…
Descriptors: Secondary School Teachers, Teacher Attitudes, Change Strategies, Educational Change
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Vandenbroeck, Michel – Ethics and Education, 2020
In this contribution, we look--both historically and in the present--at how children are objectified in data and how it is assumed that this objectivation is a way to dismiss ideology, or at least to separate the ideological from the scientific. We argue, however, that the separation of data from ideology is itself a highly ideological choice. As…
Descriptors: Early Childhood Education, Democracy, Ideology, Data
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Molle, Daniella – Teachers College Record, 2020
Context: The pervasiveness of deficit-based discourses about multilingual students has long been documented in the scholarly literature. Such discourses severely erode the learning and well-being of multilingual youth. One of the spaces in which deficit-based discourses about students may be transformed is professional development. Focus of the…
Descriptors: Bilingual Students, Middle School Teachers, Data Use, Teacher Attitudes
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