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Reidenberg, Joel R.; Schaub, Florian – Theory and Research in Education, 2018
Education, Big Data, and student privacy are a combustible mix. The improvement of education and the protection of student privacy are key societal values. Big Data and Learning Analytics offer the promise of unlocking insights to improving education through large-scale empirical analysis of data generated from student information and student…
Descriptors: Data Collection, Information Security, Student Records, Privacy
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Moyne, Martina M.; Herman, Maxwell; Gajos, Krzysztof Z.; Walsh, Conor J.; Holland, Donal P. – IEEE Transactions on Learning Technologies, 2018
This article describes the development of the Design Evaluation and Feedback Tool (DEFT), a custom-built web-based system that collects and reports data to support teaching, learning, and research in project-based engineering design education. The DEFT system collects data through short weekly questionnaires for students and instructors in…
Descriptors: Engineering Education, Design, Active Learning, Student Projects
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Hardy, Ian; Hamid, M. Obaidul; Reyes, Vicente – Global Studies of Childhood, 2018
This article examines evidence of teachers' work and learning in one school setting in the northern regions of Queensland, Australia, revealing how globalized performative practices that circulate around the collection and use of data in schooling settings are both confirmed and contested. Drawing upon the literature on the nature of…
Descriptors: Foreign Countries, Global Approach, Information Management, Accountability
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Motz, Benjamin A.; Carvalho, Paulo F.; de Leeuw, Joshua R.; Goldstone, Robert L. – Journal of Learning Analytics, 2018
To identify the ways teachers and educational systems can improve learning, researchers need to make causal inferences. Analyses of existing datasets play an important role in detecting causal patterns, but conducting experiments also plays an indispensable role in this research. In this article, we advocate for experiments to be embedded in real…
Descriptors: Causal Models, Statistical Inference, Inferences, Educational Experiments
Parnell, Amelia; Jones, Darlena; Wesaw, Alexis; Brooks, D. Christopher – EDUCAUSE, 2018
As higher education institutions in the United States strive to maximize their use of resources to better support students, it is critical for professionals to make data-informed decisions. Most institutions are currently gathering an abundance of data from multiple sources, which provides a good opportunity for functional units, divisions, and…
Descriptors: College Students, Colleges, Data Analysis, Data Collection
Woods, Julie; Rafa, Alyssa – Education Commission of the States, 2018
This special report -- informed by the Education Commission of the States' March 2018 School Improvement Thinkers Meeting -- guides state leaders toward a better understanding of how to improve lower-performing schools. This brief contains questions in four key areas to provide a road map for digging into school improvement systems and orienting…
Descriptors: Educational Improvement, Change Strategies, Educational Objectives, Public Education
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Fu, Shuang; King, Kendall – Discourse: Studies in the Cultural Politics of Education, 2021
This paper examines recent political debates surrounding data disaggregation in education policy in one US state, and analyses the discourses taken up by supporters and opponents of these policies. Analysis suggests how discourses move across time and space, and focuses on how these discourses are contextualized and entextualized in social media,…
Descriptors: Civil Rights, Ethnic Groups, Political Attitudes, Educational Policy
Duppong Hurley, Kristin; Farley, Jennifer; Huscroft D'Angelo, Jacqueline – Grantee Submission, 2021
Assessing treatment integrity is essential to understanding how well school-based interventions are delivered. The assessment of treatment integrity is especially challenging for interventions that provide one-on-one peer support over the phone. To address this gap, we explored treatment integrity approaches used for the "Parent…
Descriptors: Outcomes of Treatment, Program Implementation, Delivery Systems, Fidelity
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
Konstantinos Pouliakas – Cedefop - European Centre for the Development of Vocational Training, 2021
The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary. Conventional methods used to anticipate…
Descriptors: Job Skills, Information Technology, Artificial Intelligence, Employment Qualifications
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Prasad, Deepak; Totaram, Rajneel; Usagawa, Tsuyoshi – TechTrends: Linking Research and Practice to Improve Learning, 2016
In the last few years, open textbook development has picked up dramatically due both to the expense of commercially published textbooks and the increasing availability of high-quality OER alternatives. While this offers a tremendous benefit in terms of lowering student textbook costs, the question remains, to what extent (if any) do open textbooks…
Descriptors: Textbooks, Open Source Technology, Electronic Publishing, Reader Text Relationship
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Köymen, Bahar; Lieven, Elena; Brandt, Silke – Journal of Child Language, 2016
This study investigates the coordination of matrix and subordinate clauses within finite complement-clause constructions. The data come from diary and audio recordings which include the utterances produced by an American English-speaking child, L, between the ages 1;08 and 3;05. We extracted all the finite complement-clause constructions that L…
Descriptors: Child Language, Infants, Syntax, Semantics
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Lawson, Celeste; Beer, Colin; Rossi, Dolene; Moore, Teresa; Fleming, Julie – Educational Technology Research and Development, 2016
Learning analytics is an emerging field in which sophisticated analytic tools are used to inform and improve learning and teaching. Researchers within a regional university in Australia identified an association between interaction and student success in online courses and subsequently developed a learning analytics system aimed at informing…
Descriptors: Data Collection, Data Analysis, Educational Research, Foreign Countries
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Gunter, Devon – Mathematics Teacher, 2016
It is no easy feat to engage young people with abstract material as well as push them to greater depths of understanding. Add in the extra pressures of curriculum expectations and standards and the problem is exacerbated. Projects designed around standards and having multiple entry points clearly offer students the best opportunity to engage with…
Descriptors: Algebra, Calculus, Student Projects, Motion
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Ramsden, Bryony – New Review of Academic Librarianship, 2016
Research in academic libraries has recently seen an increase in the use of ethnographic-based methods to collect data. Primarily used to learn about library users and their interaction with spaces and resources, the methods are proving particularly useful to academic libraries. The data ethnographic methods retrieve is rich, context specific, and…
Descriptors: Ethnography, Academic Libraries, Library Research, Literature Reviews
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