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Gang Zhao; Hui He; Bingbing Di; Qingqing Guo – Education and Information Technologies, 2024
With the rapid development of information technology, various online education platforms support the sharing of digital educational resources. Because digital educational resources are simple to duplicate and disseminate quickly, there exists copyright infringement, which threatens the interests of copyright owners. In addition, the existing…
Descriptors: Educational Resources, Technology Uses in Education, Technological Advancement, Copyrights
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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
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Rhodes, Marjorie; Rizzo, Michael T.; Foster-Hanson, Emily; Moty, Kelsey; Leshin, Rachel A.; Wang, Michelle; Benitez, Josie; Ocampo, John Daryl – Journal of Cognition and Development, 2020
This article introduces an accessible approach to implementing unmoderated remote research in developmental science -- research in which children and families participate in studies remotely and independently, without directly interacting with researchers. Unmoderated remote research has the potential to strengthen developmental science by: (1)…
Descriptors: Research, Cognitive Development, Children, Family (Sociological Unit)
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Hildebrandt, Mireille – Journal of Learning Analytics, 2017
This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…
Descriptors: Behaviorism, Data Processing, Profiles, Learning Processes
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Jones, Kyle M. L.; Salo, Dorothea – College & Research Libraries, 2018
In this paper, the authors address learning analytics and the ways academic libraries are beginning to participate in wider institutional learning analytics initiatives. Since there are moral issues associated with learning analytics, the authors consider how data mining practices run counter to ethical principles in the American Library…
Descriptors: Academic Libraries, Ethics, Intellectual Freedom, Privacy
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Johri, Aditya; Yang, Seungwon; Vorvoreanu, Mihaela; Madhavan, Krishna – Advances in Engineering Education, 2016
As part of our NSF funded collaborative project on Data Sharing within Engineering Education Community, we conducted an empirical study to better understand the current climate of data sharing and participants' future expectations of the field. We present findings of this mixed method study and discuss implications. Overall, we found strong…
Descriptors: Engineering Education, Data, Knowledge Management, Educational Practices
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing