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Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

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Page 1: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Measuring Engagement:Learning Analytics in Online Learning

Dr. Griff RichardsThompson Rivers UniversityOpen Learning

Electronic Kazan, 19 April 2011

Page 2: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

60oN

49oN

Distance LearningIn Canada

- Is growing, especially in K-12 public schools

-15% of 2008 high school graduates in BC took at least one on-line course

-Increase in “Blended Learning”, online activities for F2F courses.

Kamloops, British Columbia

Page 3: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Learning Engagement

The more a learner interacts with the content and with their peers about the content, the more they are likely to internalize it, and remember it...

Richard Snow, 1980

Page 4: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Interaction Equivalency Theory(Garrison & Anderson)

The quality of the interaction is more important than the source

CourseContent

Instructor

Other learners

Page 5: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Learning Engagement (Kuh)

Learning engagement promotes student retention and academic success.

(George Kuh)

Engagement can be broadly measured for a campus using National Engagement School Survey Instrument (NESSI).

Page 6: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Learning Engagement (Kuh)

Five Factors:1. active and collaborative learning,

2. student-faculty interaction, 3. supportive campus environment, 4. enriching educational experiences, and 5. the level of academic challenge.

Page 7: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Engagement Online

on line

Page 8: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Measuring Engagement• Engagement is “action based on internal

motivation”• Can not directly measure engagement• Must look for external traces, actions that

indicate interest, and involvement

Kuh – NESSI – sample every year of 100,000s of students -> statistical trends, but not individual

as results come too late to correct problems!

Page 9: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Measuring Online Engagement

Engagement is inferred from activity.• Student interaction with Online systems

leaves an “exhaust trail” of their activity• Learning Analytics is not a statistical sample,

it is all the data for all learners• Questions: What patterns to look for? and How to interpret them?

Page 10: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

• LMS interaction data e.g. Moodle discussion

• Extract linked list

• Plot interactions in star map

Example: Snapp

Page 11: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

SNAPP Visualization

Page 12: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

SNAPP shot of Welcome

Students “engaged”

Page 13: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

SNAPP shot of Welcome

Individuals with lower engagement, 3 or less messages

Page 14: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Does Activity = Engagement ?

Beer (2010) plotted total LMS interactions with academic grades. Does activity = engagement?

Is Blackboard more engaging than Moodle?

Page 15: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Activity Outside LMS

• As learners become engaged, they move to more engaging channels: email, Elluminate, Skype

• This activity is not tracked by LMS.

• No data available.

Page 16: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Interpretation of Analytics

• Data patterns require verification• Quantitative data requires interpretation--> make and test hypotheses--> create useful models• When we measure something we risk

changing it.– e.g. If learners know we count hits they may

make meaningless hits to fool the system.

Page 17: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Analytics for Learners!

• The same analytics should be able to provide easy to understand information dashboards for students.

Page 18: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

How can analytics improve online learning?

• Measuring something is the first step• “Better to measure something than to

measure nothing” (Scrivens)

• Need more data than page hits. We also need to ask learners about their experience, what worked, what needs improvement.

Page 19: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Analytics can help build Quality Systems

Multi-layered system, Timely, Qualitative & Quantitative data

Steady enrolments

Credible learning

Happylearners

Strategic course redesign

Page 20: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Dynamic Evaluation Model (Richards & Devries)

» Preparation Conduct Reflection

• Design

• Facilitation

• Learning

Analytics at the activity level

Page 21: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Dynamic Evaluation Model

» Preparation Conduct Reflection

• Design

• Facilitation

• Learning

Timely feedback enables quick fixes

Page 22: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

• Too little

• Too much

• Just right

Masha & Medved

We need to find balance.

Page 23: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Thank you!

Questions?

Page 24: Measuring Engagement: Learning Analytics in Online Learning Dr. Griff Richards Thompson Rivers University Open Learning Electronic Kazan, 19 April 2011

Measuring Engagement:Learning Analytics in Online Learning

Dr. Griff RichardsThompson Rivers UniversityOpen Learning

Electronic Kazan, 19 April 2011