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ERIC Number: EJ1166870
Record Type: Journal
Publication Date: 2017
Pages: 149
Abstractor: ERIC
ISBN: N/A
ISSN: ISSN-1551-6970
Special Issue: Learning Analytics in Higher Education
Lester, Jaime; Klein, Carrie; Rangwala, Huzefa; Johri, Aditya
ASHE Higher Education Report, v43 n5 p1-149 2017
The purpose of this monograph is to give readers a practical and theoretical foundation in learning analytics in higher education, including an understanding of the challenges and incentives that are present in the institution, in the individual, and in the technologies themselves. Among questions that are explored and answered are: (1) What are the current trends in higher education that are driving a need for learning analytics tools?; (2) What role do institutional context, technological capacity, and individual beliefs play in promoting or constraining adoption and integration of learning analytics technologies in higher education?; (3) What are the ethical considerations related to use of learning analytics or other predictive data and associated interventions?; and (4) What are the practical implications and future research recommendations associated with learning analytics? This monograph draws from several areas of research--organizational theory, technology adoption, faculty beliefs and behaviors, and ethics and privacy--in a comprehensive model of learning analytics in higher education. This monograph is intended to serve as an introduction to learning analytics for those practitioners and researchers who are interested in learning more about the development, implementation, and promise of harnessing educational big data with predictive methods. Contents of this monograph include: (1) Executive Summary; (2) Acknowledgements; (3) Foreword; (4) Introduction to Learning Analytics and Educational Technology Tools in Higher Education; (5) How Organizational Context and Capacity and Technological Alignment Affect Learning Analytics Adoption; (6) Faculty, Advisor, and Student Decision Making Related to Use of Learning Analytics Data and Tools; (7) Ethical and Privacy Concepts and Considerations; and (8) Recommendations for Moving Forward: Considerations of Organizational Complexity, Data Fidelity, and Future Research.
Wiley Periodicals, Inc. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Publication Type: Journal Articles; Collected Works - Serial; Information Analyses
Education Level: Higher Education
Audience: Practitioners; Researchers
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: IIS1447489