Educational technology approach toward learning analytics: Relationship between student online behavior and learning performance in higher education

ACM International Conference Proceeding Series

Volumn , Issue , 2014, Pages 269-270

  Yu, Taeho ^a   Jo, Il Hyun ^b  

^a PURDUE UNIVERSITY   (United States)

^b Ewha Womans University   (South Korea)

Author keywords

Analytics; Educational technology; Elearning; Higher education

Indexed keywords

COPYRIGHTS; E-LEARNING; EDUCATIONAL TECHNOLOGY; ENGINEERING EDUCATION; LEARNING SYSTEMS; LINEAR REGRESSION;

ACADEMIC ACHIEVEMENTS; ACADEMIC PERFORMANCE; ANALYTICS; HIGHER EDUCATION; LEARNING PERFORMANCE; MULTIPLE LINEAR REGRESSION ANALYSIS; ONLINE LEARNING ENVIRONMENT; UNDERGRADUATE STUDENTS;

STUDENTS;

EID: 84898770423     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567574.2567594     Document Type: Conference Paper

References (3)

1. Arnold, K. E. 2010. Signals: Applying Academic Analytics. EDUCAUSE Quarterly, 33(1).
2. Arnold, K. E., and Pistilli, M. D. 2012. Course Signals at Purdue: Using learning analytics to increase student success. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. LAK ′12. ACM, New York, NY, 267-270.
3. Jo, I., and Kim, J. H. 2013. Investigation of Statistically Significant Period for Achievement Prediction Model in e- Learning. The Journal of Educational Information and Media, 29(2), 285-306.