Contexts, critiques, and consequences: A discussion about educational data mining and learning analytics
Autor: | Amy VanScoy, Roderic Crooks, Chase McCoy, Kyle M. L. Jones |
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Rok vydání: | 2018 |
Předmět: |
General Computer Science
05 social sciences Learning analytics 050301 education 050801 communication & media studies Library and Information Sciences Information policy Educational data mining Data science Quality Education 0508 media and communications Critical data studies Sociology 0503 education Documentation science |
Zdroj: | Proceedings of the Association for Information Science and Technology, vol 55, iss 1 |
Popis: | The capture, aggregation, and analysis of student data is becoming ubiquitous at all levels of education—from primary to post-secondary—as institutions increase their adoption of information technologies to serve administrative and educational ends. In part, this has led to a growing interest among education scientists and administrators in strategically mining and analyzing troves of data in order to uncover student behaviors and intervene in student life. As is the case in other contexts where actors are pursuing Big Data's supposed benefits, educational data mining is fraught with moral, ethical, and political conflict. The panel is composed of four researchers who analyze and critique educational data mining practices and learning analytics initiatives in particular micro-and macro-contexts, including academic libraries and professional advising, urban schools, graduate-level online learning, and higher education generally. Each panelist also represents a unique conceptual background, pulling from work in information ethics and policy, critical data studies, documentation studies, and higher education policy to empirically analyze and critically evaluate tools, systems, practices, policies, and values. Through their individual but thematically intertwined perspectives, the panelists will present their research and lead audience members in discussion. |
Databáze: | OpenAIRE |
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