Learner Analytics Patterns of Online Students’ Interactions with Course Contents—Impacts on Student Outcomes, and Usefulness for Predictive Models to Optimize Student Outcomes in Online Courses in Blackboard Learn Learning Management System of Stony Brook University’s School of Professional Devt.

Authors

Oluwakayode Chidebem Victor Adebowale

Type

Text

Type

Dissertation

Advisor

Teng, Tian-Lih

Date

2017

Keywords

distance learning | Educational technology | instructional design | learner analytics | learner-content interaction | online learning | transactional distance

Department

Department of Technology, Policy, and Innovation.

Source

This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.

Identifier

http://hdl.handle.net/11401/78435

Publisher

The Graduate School, Stony Brook University: Stony Brook, NY.

Format

application/pdf

Abstract

173 pages

Recommended Citation

Adebowale, Oluwakayode Chidebem Victor, "Learner Analytics Patterns of Online Students’ Interactions with Course Contents—Impacts on Student Outcomes, and Usefulness for Predictive Models to Optimize Student Outcomes in Online Courses in Blackboard Learn Learning Management System of Stony Brook University’s School of Professional Devt." (2017). Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions). 3899.
https://commons.library.stonybrook.edu/stony-brook-theses-and-dissertations-collection/3899