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Morgan, Lydia; Overton, Sarah; Bates, Sally; Titterington, Jill; Wren, Yvonne – International Journal of Language & Communication Disorders, 2021
Background: NHS case note data are a potential source of practice-based evidence which could be used to investigate the effectiveness of different interventions for individuals with a range of speech, language and communication needs. Consistency in pre- and post-intervention data as well as the collection of relevant variables would need to be…
Descriptors: Data Collection, Children, Intervention, Speech Impairments
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Wylie, Tom – FORUM: for promoting 3-19 comprehensive education, 2023
This paper considers how effectively inspection takes account of the 'lived experience' of young people in school and in their leisure time, and identifies some weaknesses in both data gathering and reporting. It asserts that Ofsted should be more forthright in its judgments of the curriculum range now offered in schools, and regrets its lack of…
Descriptors: Inspection, Schools, Youth, Data Collection
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Engelhard, George – Educational and Psychological Measurement, 2023
The purpose of this study is to introduce a functional approach for modeling unfolding response data. Functional data analysis (FDA) has been used for examining cumulative item response data, but a functional approach has not been systematically used with unfolding response processes. A brief overview of FDA is presented and illustrated within the…
Descriptors: Data Analysis, Models, Responses, Test Items
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Su, Hsu-Lin; Chen, Po-Hsi – Educational and Psychological Measurement, 2023
The multidimensional mixture data structure exists in many test (or inventory) conditions. Heterogeneity also relatively exists in populations. Still, some researchers are interested in deciding to which subpopulation a participant belongs according to the participant's factor pattern. Thus, in this study, we proposed three analysis procedures…
Descriptors: Data Analysis, Correlation, Classification, Factor Structure
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Holmes, Langdon; Crossley, Scott; Sikka, Harshvardhan; Morris, Wesley – Information and Learning Sciences, 2023
Purpose: This study aims to report on an automatic deidentification system for labeling and obfuscating personally identifiable information (PII) in student-generated text. Design/methodology/approach: The authors evaluate the performance of their deidentification system on two data sets of student-generated text. Each data set was human-annotated…
Descriptors: Open Source Technology, Automation, Identification, Confidentiality
Sy Han Chiou; Gongjun Xu; Jun Yan; Chiung-Yu Huang – Grantee Submission, 2023
Recurrent event analyses have found a wide range of applications in biomedicine, public health, and engineering, among others, where study subjects may experience a sequence of event of interest during follow-up. The R package reReg offers a comprehensive collection of practical and easy-to-use tools for regression analysis of recurrent events,…
Descriptors: Data Analysis, Computer Software, Regression (Statistics), Models
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Melanie M. Keller; Takuya Yanagida; Oliver Lüdtke; Thomas Goetz – Educational Psychology Review, 2025
Students' emotions in the classroom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over…
Descriptors: Foreign Countries, High School Students, Affective Behavior, Emotional Response
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Caitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
Luvon Hudson; Tawheedah Abdullah; Max Altman – Equity Assistance Center-South, 2025
In the complex and dynamic environment of schools, the greatest asset is the collective wisdom of educators. The insights, experiences, and perspectives of teachers and staff are the most valuable data for driving meaningful improvement and fostering a positive environment where both students and adults can thrive. To lead effectively, one must…
Descriptors: Feedback (Response), Educational Improvement, Data Collection, Educational Environment
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Christopher Redding; Tiffany S. Tan; Seth B. Hunter – Educational Researcher, 2024
We present data from the Schools and Staffing Survey and the National Teacher and Principal Survey to document the prevalence of instructional coaching programs (ICPs) and consider how ICPs are distributed by school level, urbanicity, new teachers in a school, student enrollment, school poverty levels, student achievement levels, and state. We…
Descriptors: Coaching (Performance), Teacher Distribution, Elementary Schools, Municipalities
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Alina Hase; Poldi Kuhl – Educational Technology Research and Development, 2024
Data-based decision-making is a well-established field of research in education. In particular, the potential of data use for addressing heterogeneous learning needs is emphasized. With data collected during the learning process of students, teachers gain insight into the performance, strengths, and weaknesses of their students and are potentially…
Descriptors: Instructional Design, Technology Uses in Education, Journal Articles, Decision Making
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Michael Yao Wodui Serwornoo; Samuel Danso; Benedine Azanu; Eric Opoku-Mensah – Journalism and Mass Communication Educator, 2024
The digital era has significantly reshaped journalism, emphasizing the pivotal role of data-driven reporting. This review delves into the nexus of data journalism and journalism education, investigating dominant study characteristics, challenges, and gaps for future research. Examining 41 relevant articles through the Arksey and O'Malley…
Descriptors: Journalism Education, Data Analysis, Journalism, Decision Making
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Mandy Pierlejewski – Contemporary Issues in Early Childhood, 2024
This paper explores an emerging methodological approach called doppelganger as method. This method uses the idea of a doppelganger or double to explore the social world. It is specifically used to examine datafication, or the increase in the production and use of data and its impact on education. Doppelganger as method begins by locating doubles,…
Descriptors: Foreign Countries, Preschool Children, Preschool Education, Preschool Teachers
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Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
Meg Bates – Illinois Workforce and Education Research Collaborative, Discovery Partners Institute, 2024
As part of its evaluation of the Illinois State Board of Education's Preschool Development Birth through Five Planning Grant (PDG B-5), Illinois Workforce and Education Research Collaborative (IWERC) completed an overview and evaluation of strengths and weaknesses in the current early childhood data systems. To complete this review, IWERC examined…
Descriptors: State Boards of Education, Early Childhood Education, Preschool Education, Data Collection
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