Learning Analytics in MOOCs: Can Data Improve Students Retention and Learning?

Learning Analytics in MOOCs: Can Data Improve Students

Retention and Learning?

Mohammad Khalil and Martin EbnerEducational Technology

Where is our research Department located...

our department

Educational TechnologyTUGraz, Austria

OER

MOOCs

Learning AnalyticsPersonalized Learning

Big Data

Adaptive Learning

Educational Data Mining

Technology Enhanced Learning

Lifelong Learning

1.MOOCsThe new generation of Distance Learning

MOOCs ?

Image from: http://cdn2.hubspot.net/hub/685689/file-3231367982-jpg/blog-files/massiveopenonline_620x400.jpg?t=1462361738877

To Summarize:You can attend courses

from prestigious universitiesfor free

To Summarize:You can attend courses

from prestigious universitiesfor free

platform...

Issues ofMOOCs

Dropout

Motivation and Engagement

Interactions

Didactical design

Quiz assessment Seriousness

Issues ofMOOCs

Dropout

Motivation and Engagement

Interactions

Didactical design

Quiz assessment Seriousness

Khalil, M., & Ebner, M. (2016). What Massive Open Online Course (MOOC) Stakeholders Can Learn from Learning Analytics?. Learning, Design, and Technology. Springer International Publishing. (pp. 1-30).

Can we Control or decrease

Dropout?

Can we Control or decrease

Dropout?Yes! Through

Learning Analytics

2. Learning AnalyticsIt is a data analytics...but in educational systems

2. Learning AnalyticsIt is a data analytics...but in educational systems

like...MOOCs

“Collecting traces that learners leave behind and using

those traces to improve learning.

-Erik Duval

a Simple Definition

Data Collection

Quizzes

Forums Reading Logins

Forums Writing

Behavior Comparison between Completed and Dropout students

Assigning Weights

Quizzes

Forums Reading Logins

Forums Writing

W1

W3

W2 W4

Assigning Weights

Quizzes

Forums Reading Logins

Forums Writing

W1

W3

W2 W4

W1 > W2 > W3 > W4

Assigning Weights

Quizzes

Forums Reading Logins

Forums Writing

W1

W3

W2 W4

W1 > W2 > W3 > W4

Success Rate (SR) = W1.Readings + W2.Quiz_Attempts + W3.Login_Frequency +

W4.Writings

Prediction based on Indicators Weight

Prediction based on Indicators Weight

● Low numbers indicate dropout

● High numbers indicate completion

AwarenessOr

Feedback

What can we do to enhance retention and learning?

Student get notification:

Gamification Element like water

bottle

EdMedia Vancouver, 2016 , June 28-30