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Xinyun Zhao; Tsunghsueh Wu; Xi Chen; Lamei Wu; Zhongqiang Zhou – Journal of Chemical Education, 2023
An inquiry-based learning approach was implemented into comprehensive organic chemistry experiments focusing on the formation process of N-phenylbenzamide from the reaction between N-benzylideneaniline and benzoyl peroxide in commercial dimethyl sulfoxide. Students conducted comparative experiments using alternative reagents or reaction conditions…
Descriptors: Undergraduate Students, College Science, Organic Chemistry, Science Laboratories
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
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
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
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
Bridges, Eileen – Journal of Marketing Education, 2021
This article looks back over the past two decades to describe how teaching of undergraduate marketing research has (or has not) changed. Sweeping changes in technology and society have certainly affected how marketing research is designed and implemented--but how has this affected teaching of this important topic? Although the purpose of marketing…
Descriptors: Marketing, Undergraduate Students, Educational Change, Teaching Methods
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
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
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
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
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
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
Heslop, Jo; Tamez, Lucia Quintero; Parkes, Jenny – Institute of Education - London, 2021
While violence against children (VAC) has been a long-established global concern, more recently attention has been drawn to how violence occurs in and around schools (VACS) and the role of education in preventing and responding to violence. Whilst awareness about VACS is growing, more robust data are needed to inform policy and practice. Concerns…
Descriptors: Violence, Children, School Violence, Bullying
Corrado Matta; Jannika Lindvall; Andreas Ryve – American Journal of Evaluation, 2024
In this article, we discuss the methodological implications of data and theory integration for Theory-Based Evaluation (TBE). TBE is a family of approaches to program evaluation that use program theories as instruments to answer questions about whether, how, and why a program works. Some of the groundwork about TBE has expressed the idea that a…
Descriptors: Data Analysis, Theories, Program Evaluation, Information Management