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D. Brent Edwards Jr. – International Perspectives on Education and Society, 2019
Though we have recently witnessed the "exponential production of digital data to measure, analyze, and predict educational performance" (Salajan & Jules, this volume), there has not been sufficient attention given to the quantitative methods that are used to process and transform this data in order to arrive at findings related to…
Descriptors: Best Practices, Educational Practices, Educational Administration, Governance
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Eaton, Paul William; Hendry, Petra Munro – Teachers College Record, 2019
Background/Context: This article advances scholarship from curriculum theorists, educational philosophers, and educational researchers unpacking the dehumanizing aspects of education. Focus of Study: The article maps the role of the tree as a measuring and organizing apparatus of curriculum and unpacks possibilities for utilizing rhizomes as a way…
Descriptors: Educational Philosophy, Educational Practices, Humanization, Curriculum
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Jap, Jens; Saldanha, Ian J.; Smith, Bryant T.; Lau, Joseph; Schmid, Christopher H.; Li, Tianjing – Research Synthesis Methods, 2019
Introduction: During systematic reviews, data abstraction is labor- and time-intensive and error-prone. Existing data abstraction systems do not track specific locations and contexts of abstracted information. To address this limitation, we developed a software application, the Data Abstraction Assistant (DAA) and surveyed early users about their…
Descriptors: Computer Software, Literature Reviews, Data Analysis, Usability
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Burns, Timothy; Sherman, Cherie – Information Systems Education Journal, 2019
In recent years, there has been an explosion in the demand for personnel with analytics skills. Given that the demand for this skill set cuts across so many disciplines, it is a useful addition to any major and an ideal candidate as an academic minor. Furthermore, as the underlying analytics tools and techniques used by data analysts emerged…
Descriptors: Business Administration Education, College Curriculum, Data Analysis
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Kinney, Satkartar K.; Cooney, Darryl A. – New Directions for Institutional Research, 2019
Nonresponse is an increasing problem in sample surveys and student surveys are no exception. When nonrespondents differ from respondents in meaningful ways, respondents may not be representative of the population. Hence, analyses of survey data may be biased and not generalizable to the population. In this chapter we provide an overview of…
Descriptors: Student Surveys, Data Analysis, Generalization, Responses
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Huggins-Manley, A. Corinne; Beal, Carole R.; D'Mello, Sidney K.; Leite, Walter L.; Cetin-Berber, Dyugu Dee; Kim, Dongho; McNamara, Danielle S. – Journal of Research on Educational Effectiveness, 2019
Virtual learning environments (VLEs) are increasingly used at-scale in educational contexts to facilitate teaching and promote learning, and the data they produce can be used for educational research purposes. Meanwhile, the U.S. Department of Education's Office of Educational Technology has repeatedly emphasized the importance of using evidence…
Descriptors: Virtual Classrooms, Construct Validity, Data, Educational Research
Attai, Linnette – Educational Leadership, 2019
With the growth of tech-driven instructional possibilities, school systems have an increasingly urgent responsibility for schools to continuously assess and improve student data-protection practices. Attai, a project director for the Consortium for School Networking, outlines a program designed to help education leaders master the fundamentals of…
Descriptors: Privacy, Information Security, Administrator Responsibility, Data Collection
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Tlili, Ahmed; Essalmi, Fathi; Jemni, Mohamed; Kinshuk, P.; Chen, Nian-Shing – International Journal of Information and Communication Technology Education, 2019
Advances in technology have given the learning analytics (LA) area further potential to enhance the learning process by using methods and techniques that harness educational data. However, the lack of guidelines on what should be taken into considerations during application of LA hinders its full adoption. Therefore, this article investigates the…
Descriptors: Learning Analytics, Data Use, Design Requirements, Validity
Huggins-Manley, A. Corinne; Beal, Carole R.; D'Mello, Sidney K.; Leite, Walter L.; Cetin-Berber, Dyugu Dee; Kim, Dongho; McNamara, Danielle S. – Grantee Submission, 2019
Virtual learning environments (VLE) are increasingly used at-scale in educational contexts to facilitate teaching and promote learning, and the data they produce can be used for educational research purposes. Meanwhile, the U.S. Department of Education's Office of Educational Technology has repeatedly emphasized the importance of using evidence to…
Descriptors: Virtual Classrooms, Construct Validity, Data, Educational Research
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Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
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Hardy, Ian – Journal of Education Policy, 2021
Drawing upon recent theorising of numbers and data, and applications to schooling, this paper reveals how tensions between more accountability-oriented logics, and more contextually-situated conceptions of engagement with data, played out in one school in a regional community in northern Queensland, Australia. The research reveals that at the same…
Descriptors: Data Analysis, Accountability, Faculty Development, Academic Achievement
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Oslund, Eric L.; Elleman, Amy M.; Wallace, Kelli – Journal of Learning Disabilities, 2021
In tiered instructional systems (Response to Intervention [RTI]/Multitier System of Supports [MTSS]) that rely on ongoing assessment of students at risk of experiencing academic difficulties, the ability to make informed decisions using student data is critical for student learning. Prior research has demonstrated that, on average, teachers have…
Descriptors: Data Use, Decision Making, Data Interpretation, Professional Development
Lazarus, Sheryl S.; Hinkle, Andrew R.; Liu, Kristin K.; Thurlow, Martha L.; Ressa, Virginia A. – National Center on Educational Outcomes, 2021
The National Center on Educational Outcomes (NCEO) held a virtual meeting of an Interim Assessment Advisory Panel on February 16 and 17, 2021, to tap into the panel members' collective knowledge about using interim assessments to support valid interpretations of what students with disabilities know and can do. The panel represented…
Descriptors: Student Evaluation, Students with Disabilities, Guidance, State Departments of Education
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
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Demirbas, Irem; Sahin, Ayfer – International Journal of Progressive Education, 2020
Today, digital technologies are used extensively in all areas of life, so education has important role to raise individuals who are researching, questioning, and constructing the knowledge. Digital storytelling; Written, visual, audio tools that work together, providing information in a digital environment is a method that allows students to learn…
Descriptors: Foreign Countries, Story Telling, Technology Uses in Education, Educational Research
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