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ERIC Number: EJ1165425
Record Type: Journal
Publication Date: 2018-Jan
Pages: 9
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-8756-3894
EISSN: N/A
Learning Analytics: At the Nexus of Big Data, Digital Innovation, and Social Justice in Education
Aguilar, Stephen J.
TechTrends: Linking Research and Practice to Improve Learning, v62 n1 p37-45 Jan 2018
We are still designing educational experiences for the "average" student, and have room to improve. Learning analytics provides a way forward. This commentary describes how learning analytics-based applications are well positioned to meaningfully personalize the learning experience in diverse ways. In so doing, learning analytics has the potential to contribute to more equitable and socially just educational outcomes for students who might otherwise be seen through the lens of the average student. Utilizing big data, good design, and the input of the stakeholders, learning analytics techniques aim to develop applications for the sole purpose of reducing the classroom size to 1. Over time, these digital innovations will enable us to do away with a model of education that teaches toward the non-existent average student, replacing it with one that is more socially just--one that addresses the individual needs of every student.
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A