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Jingping Sun; Jiangang Xia; Cheng Hua; Kaiwen Man; Bob L. Johnson Jr. – Educational Administration Quarterly, 2024
Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…
Descriptors: Psychometrics, Data Use, Leadership, Surveys
Shabrina, Preya; Mostafavi, Behrooz; Tithi, Sutapa Dey; Chi, Min; Barnes, Tiffany – International Educational Data Mining Society, 2023
Problem decomposition into sub-problems or subgoals and recomposition of the solutions to the subgoals into one complete solution is a common strategy to reduce difficulties in structured problem solving. In this study, we use a datadriven graph-mining-based method to decompose historical student solutions of logic-proof problems into Chunks. We…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Graphs, Data Analysis
Ferguson, Rebecca; Clow, Doug; Griffiths, Dai; Brasher, Andrew – Journal of Learning Analytics, 2019
Learning analytics involve the measurement, collection, analysis, and reporting of data about learners and their contexts, in order to understand and optimize learning and the environments in which it occurs. Since emerging as a distinct field in 2011, learning analytics has grown rapidly, and early adopters around the world are developing and…
Descriptors: Educational Research, Data Collection, Data Analysis, Educational Technology
Gordon, Edmund W. – Educational Measurement: Issues and Practice, 2020
Drawing upon his experience, more than 60 years ago, as a psychometric support person to a very special teacher of brain damaged children, the author of this article reflects on the productive use of educational assessments and data from them to educate - assessment in the service of learning. Findings from the Gordon Commission on the Future of…
Descriptors: Psychometrics, Student Evaluation, Special Education Teachers, Educational Assessment
Wise, Alyssa Friend; Vytasek, Jovita Maria; Hausknecht, Simone; Zhao, Yuting – Online Learning, 2016
This paper addresses a relatively unexplored area in the field of learning analytics: how analytics are taken up and used as part of teaching and learning processes. Initial steps are taken towards developing design knowledge for this "middle space," with a focus on students as analytics users. First, a core set of challenges for…
Descriptors: Data Collection, Data Analysis, Educational Research, Teaching Methods
Farmer, Thomas W., Ed.; Talbott, Elizabeth, Ed.; McMaster, Kristen, Ed.; Lee, David, Ed.; Aceves, Terese C. – Routledge, Taylor & Francis Group, 2022
Divided into two volumes, "Handbook of Special Education Research" provides a comprehensive overview of critical issues in special education research. This first volume addresses key topics in theory, methods, and development, exploring how these three domains interconnect to build effective special education research. Each chapter…
Descriptors: Special Education, Educational Research, Educational Theories, Applied Behavior Analysis
Suleman, Qaiser; Hussain, Ishtiaq – Journal of Education and Practice, 2016
The purpose of the research paper was to investigate the effect of eclectic learning approach on the academic achievement and retention of students in English at elementary level. A sample of forty students of 8th grade randomly selected from Government Boys High School Khurram District Karak was used. It was an experimental study and that's why…
Descriptors: Elementary School Students, Academic Achievement, School Holding Power, Pretests Posttests
Nestorov, Svetlozar; Jukic, Nenad; Rossi, Sippo – Journal of Information Systems Education, 2019
This paper describes a new data visualization class and its real-world project component in the information systems undergraduate program at Loyola University Chicago Quinlan School of Business. The motivation for and the evolution of the data visualization class are outlined. The fit and the position of the data visualization class in the…
Descriptors: Outcomes of Education, Data Analysis, Information Science Education, Undergraduate Students
Adams, Elizabeth L.; Carrier, Sarah J.; Minogue, James; Porter, Stephen R.; McEachin, Andrew; Walkowiak, Temple A.; Zulli, Rebecca A. – International Journal of Science Education, 2017
The Instructional Practices Log in Science (IPL-S) is a daily teacher log developed for K-5 teachers to self-report their science instruction. The items on the IPL-S are grouped into scales measuring five dimensions of science instruction: "Low-level Sense-making," "High-level Sense-making," "Communication,"…
Descriptors: Teaching Methods, Science Instruction, Elementary School Students, Evaluators
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
In response to the wide-scale proliferation of "the cone of learning"--a fanciful retention chart confounded with Dale's Cone of Experience--the authors make four major claims debunking this fantasy and provide documentary evidence to support these claims. The first claim is that the data in the mythical retention chart do not make…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Olney, Andrew M.; Donnelly, Patrick J.; Samei, Borhan; D'Mello, Sidney K. – International Educational Data Mining Society, 2017
Automatic assessment of dialogic properties of classroom discourse would benefit several widespread classroom observation protocols. However, in classrooms with low incidences of dialogic discourse, assessment can be highly biased against detecting dialogic properties. In this paper, we present an approach to addressing this imbalanced class…
Descriptors: Models, Classroom Communication, Audio Equipment, Discourse Analysis
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
Critics have been attempting to debunk the mythical retention chart at least since 1971. The earliest critics, David Curl and Frank Dwyer, were addressing just the retention data. Beginning around 2002, a new generation of critics has taken on the illegitimate combination of the retention chart and Edgar Dale's Cone of Experience--the corrupted…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Subramony, Deepak Prem; Molenda, Michael; Betrus, Anthony K.; Thalheimer, Will – Educational Technology, 2014
The authors are attempting to set the record straight regarding the sources frequently cited in the literature of the mythical retention chart and the corrupted Dale's Cone. They point out citations that do not actually connect with relevant works; provide correct citations of sources that are often cited erroneously; add references for overlooked…
Descriptors: Educational Research, Research Methodology, Validity, Data Collection
Kelcey, Ben; Carlisle, Joanne F. – Reading Research Quarterly, 2013
The purpose of this study is to contribute to efforts to improve methods for gathering and analyzing data from classroom observations in early literacy. The methodological approach addresses current problems of reliability and validity of classroom observations by taking into account differences in teachers' uses of instructional actions (e.g.,…
Descriptors: Data Collection, Data Analysis, Emergent Literacy, Reliability
Oversby, John – Education in Science, 2014
Education research is an academic activity, and is often carried out by teachers (see, for example, Lavonen & Reinikainen, 2014). Lavonen and Reinikainen report that Finnish teachers are required to have a Masters degree involving education research. In the UK, the PGCE and its equivalent, from a schools-HEI partnership, usually carries…
Descriptors: Science Instruction, Teaching Methods, Visual Aids, Protocol Analysis

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