The Open UniversitySkip to content
 

Big data academic and learning analytics: connecting the dots for academic excellence in higher education

Chaurasia, Sushil S.; Kodwani, Devendra; Lachhwani, Hitendra and Ketkar, Manisha Avadhut (2018). Big data academic and learning analytics: connecting the dots for academic excellence in higher education. International Journal of Educational Management, 32(6) pp. 1099–1117.

DOI (Digital Object Identifier) Link: https://doi.org/10.1108/ijem-08-2017-0199
Google Scholar: Look up in Google Scholar

Abstract

Purpose
Although big data analytics have great benefits for higher education institutions, due to lack of sufficient evidence on how big data analytics investment can pay off, it is tough for HEIs practitioners to realize value from such adoption. The current study proposes a big data academic and learning analytics enabled business value model to explain big data analytics potential benefits and business value which can be obtained by developing such analytics capabilities in HEIs.

Design/methodology/approach
The study examined 47 case descriptions from 26 HEIs to investigate the causal association between the big data analytics current and potential benefits and business value creation path for big data academic and learning analytics success in higher education institutions.

Findings
The pressure of compliance with all legal & regulatory requirements and competition had pushed higher education institutions hard to adopt BDA tools. However, the study found out that application of risk & security and predictive analytics to higher education fields is still in its infancy. Using this theoretical model, our results provide new insights to higher education administrators on ways to create big data analytics capabilities for higher education institutions transformation and suggest an empirical foundation that can lead to more thorough analysis of big data analytics implementation.

Originality/value
A distinctive theoretical contribution of this study is its conceptualization of understanding business value from big data analytics in the typical setting of higher education. The study provides HEIs with an all-inclusive understanding of big data analytics and gives insights on how it helps to transform HEIs. The new perspectives associated with the big data academic and learning analytics enabled business value model will contribute to future research in this area.

Item Type: Journal Item
Copyright Holders: 2018 Emerald Publishing Limited
ISSN: 0951-354X
Keywords: Organizational Behavior and Human Resource Management; Education
Academic Unit/School: Faculty of Business and Law (FBL) > Professional Services
Faculty of Business and Law (FBL)
Item ID: 55815
SWORD Depositor: Jisc Publications-Router
Depositing User: Jisc Publications-Router
Date Deposited: 17 Jul 2018 09:13
Last Modified: 13 May 2019 13:31
URI: http://oro.open.ac.uk/id/eprint/55815
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU