follow the successful crowd: raising mooc completion rates through social comparison at scale
TRANSCRIPT
FOLLOW THE SUCCESSFUL CROWDRAISING MOOC COMPLETION RATES THROUGH SOCIAL COMPARISON AT SCALE
DAN DAVIS IOANA JIVET RENÉ KIZILCEC LAMBDA-LAB
GUANLIANG CHEN CLAUDIA HAUFF GEERT-JAN HOUBEN
MOOC LEARNING
FEEDBACK
SOCIAL CUES SELF-REGULATED LEARNING METACOGNITION
MOTIVATION
OUTLINE 2. EXPERIMENTS3. CULTURE4. CONCLUSION
1. DESIGN
1. DESIGNFEEDBACK · SOCIAL COMPARISON
SOCIAL COMPARISON THEORYEstablish social and personal worth by comparing ourselves to others (Festinger, 1954)
Comparison with slightly-better-performing peers has a beneficial effect on students’ grades (Huguet, 2001)
ROLE MODELSlearners who earned a passing grade in the previous edition of the MOOC
FEEDBACK SYSTEM DESIGN
DESIGN GOALSprovide feedback on behavior extracted from edX’s log traces afford learners the ability to intuitively understand and explore the information presented (Kay) show learners specific ways to take action and change their behavior
Traceable
Scrutable
Actionable
Learning tracker
Average graduate You kAverage graduate next week
Time on theplatform
Time watchingvideos
Fraction of timespent watchingvideos while onthe platform
Videos watched
Quiz answerssubmitted
Timeliness ofquiz answersubmission
FEEDBACK SYSTEM DESIGN
1. Embodied representation of multiple metrics 2. Numerous indicators displayed in a small space 3. Easily comparable
ITERATIVE DESIGN1. Interactivity 2. Planning ahead 3. Framing
Framing
Feedback Dimension
Planning Ahead
Interactive
2. EXPERIMENTSRESEARCH QUESTIONS · RESULTS
RQ1 Does social comparison-based learner feedback lead to increased achievement and increased self-regulatory behavior for MOOC learners?
Water Treatment
Urban Sewage
Responsible Innovation
Pre-Calculus
11k
8k
2k
12k
3.5%
3.8%
3.6%
1.7%
42
272
79
327
MOOC ENROLLED PASS QUIZQUESTIONSRATE
5,460
5,483
—
Control
Treatment 1
Treatment 2
4,038
4,099
—
1,184
1,168
—
4,142
4,087
4,065
WaterX SewageX BusinessX CalcX
ALL ENROLLED
WaterX SewageX BusinessX CalcX
1,268
1,251
—
Control
Treatment 1
Treatment 2
771
746
—
164
160
—
1,150
1,147
1,118
ACTIVE: >5 MIN IN COURSE
RESULTSCOMPLETION · ENGAGEMENT · PRIOR EDU
COURSE COMPLETION
WaterXC 1,268 160
MOOC COND. N # PASS PASS RATE
T 1,251 18812.6%15.0%
UrbanXC 771 136T 746 165
17.6%22.1%
BusinessXC 164 46T 160 54
28.0%33.8%
OVERALLC 2,203 342T 2,157 407
15.5%18.9%
WaterXC 1,268 160
MOOC COND. N # PASS PASS RATE
T 1,251 18812.6%15.0%
UrbanXC 771 136T 746 165
17.6%22.1%
BusinessXC 164 46T 160 54
28.0%33.8%
OVERALLC 2,203 342T 2,157 407
15.5%18.9% **
WaterX UrbanX BusinessX Overall
Control
Treatment
10%
20%
30%
COURSE COMPLETION
RQ1 Does social comparison-based learner feedback lead to increased achievement and increased self-regulatory behavior for MOOC learners?
Providing learners a comparison of their own behavior to that of previously successful peers will increase learner achievement.
H1.1
RQ1 Does social comparison-based learner feedback lead to increased achievement and increased self-regulatory behavior for MOOC learners?
Providing learners a comparison of their own behavior to that of previously successful peers will increase learner achievement and engagement
H1.1
Learners will change the aspects of their behavior that the Feedback System makes them aware of.
H1.2
X
RQ2 Which learners benefit most from the Feedback System?
PRIOR EDUCATION
WaterXHigh 13.2
MOOC PRIOR
Low 11.815.711.5
UrbanX17.416.4
21.314.0
BusinessX23.721.4
29.122.8
OVERALL16.314.4
19.513.6
HighLowHighLowHighLow
EDU
0.150.16
0.040.66
0.040.78
<0.010.36
CTRL TREAT pGRADE GRADE
WaterXHigh 13.2
MOOC PRIOR CTRL TREAT
11.815.711.5
UrbanX17.416.4
21.314.0
BusinessX23.721.4
29.122.8
OVERALL16.314.4
19.513.6
High
High
High
EDU p
0.150.16
0.040.66
0.040.78
<0.010.36
<
<
<
<
GRADE GRADE
Low
Low
Low
Low
RQ2 Which learners benefit most from the Feedback System?
RQ2 Which learners benefit most from the Feedback System?
A: HIGHLY EDUCATED LEARNERS
3. CULTURE*FRAMING · RESULTS
* PRE-REGISTERED osf.io/ys6au/
RQ3Does feedback framed in line with a learner’s cultural context make it more effective?
Framing
Feedback Dimension
Planning Ahead
Interactive
ON TRACK
ON TRACK
BEHIND
Framing
Feedback Dimension
Planning Ahead
Interactive
CULTUREHOFSTEDE INDIVIDUALISM
INDIVIDUALISM
INDIVIDUAL AS AN INDEPENDENT ACTOR WITH LOOSE SOCIAL RELATIONS
COLLECTIVISM
CLOSELY KNIT SOCIAL RELATIONS AND GREAT CARE FOR THE WELL-BEING OF ALL
INDIVIDUALISMCOLLECTIVISM
CULTUREHOFSTEDE INDIVIDUALISM
GELFAND TIGHTNESS
HAVE MANY STRONGLY ENFORCED RULES AND LITTLE TOLERANCE FOR DEVIANCE
TIGHTLOOSE
HAVE FEW STRONGLY ENFORCED RULES AND GREATER TOLERANCE FOR DEVIANCE
TIGHTLOOSE
RQ3Does feedback framed in line with a learner’s cultural context make it more effective?
RQ3Does feedback framed in line with a learner’s cultural context make it more effective?
Feedback in line with a learner’s cultural individualism index will increase its impact on the learner
H3.1
X
RQ3Does feedback framed in line with a learner’s cultural context make it more effective?
Feedback in line with a learner’s cultural individualism index will increase its impact on the learner
H3.1
Feedback in alignment with a learner’s cultural tightness will increase its impact on the learner
H3.2
X
WaterX
MOOC PASS RATE
13.8%
UrbanX 19.8%
BusinessX 31%
CalcX 5%
RAISE ACTIVITY THRESHOLD5 MINUTES -> 1 HOUR
From N = 3,415 to N = 658
WaterX
MOOC PASS RATE
13.8%
UrbanX 19.8%
BusinessX 31%
CalcX 16%
INDIVIDUALIST FRAMING+ Activity Threshold
Increased completion rates across cultural contexts
Control: 12.8%Individualist Framing: 19.9%
55% Increase (t = 2.02, p = 0.04, N = 441)
INDIVIDUALIST FRAMING+ Activity Threshold
Increased completion rates across cultural contexts
Control: 12.8%Individualist Framing: 19.9%
55% Increase (t = 2.02, p = 0.04, N = 441)
Increased completion rates especially in tight culturesControl: 12.1%Individualist Framing: 36.3%
300% Increase (t = 2.07, p = 0.04, N = 55)
5. CONCLUSIONWHAT’S NEXT
1. REAL-TIME 2. FRAMING 3. PERSONAS
1. REAL-TIME 2. FRAMING 3. PERSONAS
1. REAL-TIME 2. FRAMING 3. PERSONAS
THANK YOU
BIT.LY/WIS-LEARNING-ANALYTICS
LAMBDA-LAB
DAN DAVIS IOANA JIVET RENÉ KIZILCEC
GUANLIANG CHEN CLAUDIA HAUFF GEERT-JAN HOUBEN
LOW CULTURAL TIGHTNESS PREDICTS COMPLETION
p < 0.02
Control 1,150 45
CONDITION N # PASS PASS RATE
3.9%
Indiv. - Promotion 1,147 62 5.4%
Collect. - Prevent. 1,118 51 4.5%
OVERALL EFFECT