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Measuring
COMPLETION and
DROPOUT in MOOCs
Leslie HUIN, Yann BERGHEAUD, Alexandra CODINA & Eric DISSON
A LEARNER-CENTERED model
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
2
Introduction
Let’s start by a short story…
• A commitment process
• A dynamic classification of individuals
• A set of rates to measure completion and drop out
MOOC 1 MOOC 2
Observation
Vertical
Learning
DROP OUT
? ?
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
3
Proposition of commitment process
► Some differences in the process
• No selection
• No registration fees
• No « recognized » diploma
• No consequences to drop ou or fail
► Less external factors of motivation
► Auto-determination
► Selection a-posteriori
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
4
Proposition of commitment process
REGISTRATION
ACADEMIC
COMMITMENT
NEGOCIATION
OBJECTIVES INTENTION
EXPECTED
BEHAVIOR
CONATIVE
COMMITMENT
ACTION
OBSERVED
BEHAVIOR
BEHAVIORAL
COMMITMENT
Conceptualized intentions
Custom intentions
Knowledge prerequisites
Ability regarding the format
A-posteriori
Selection
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
5
Dynamic classification of individuals
REGISTRANT NO-SHOW
PARTICIPANT
LEARNER
ACTIVE LEARNER
OBSERVER
ACADEMIC
COMMITMENT
CONATIVE
COMMITMENT
CONATIVE COMMITMENT
BEHAVIORAL
COMMITMENT
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
6
Dynamic classification of individuals
REGISTRANT NO-SHOW
PARTICIPANT
LEARNER
ACTIVE LEARNER
OBSERVER
Registration
Non
participation
Participation
Non
commitment
Global
drop-out
Global
commitment
Effective
commitment
Effective
drop-out
Completion
Failure
Completion
Effective
drop-out
Failure
Expected Behavior  Observed Behavior
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
7
Some early results
► 3 tracks
• Open track
• Knowledge track
• Skills track
INTRODUCTION TO
BUSINESS PROCESS MAPPING
Registration 7436 registered
Participation
50% participation
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
8
Some early results
► 3 tracks
• Open track
• Knowledge track
• Skills track
INTRODUCTION TO
BUSINESS PROCESS MAPPING
Global
commitment 2442 learners
Effective
behavior 1350 active
learners
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
9
Some early results
D
Nb % Nb % (t vs t-1)
Commitment (t0) 2442 - - - -
MCQ 1 (t1) 1350 55% 1092 45% 1092
MCQ 2 (t2) 1150 47% 1292 53% 200
MCQ 3 (t3) 1065 44% 1377 56% 85
MCQ 4 (t4) 1042 43% 1400 57% 23
Behavior
Drop-in Drop-out
Completion 1001 learners
96% of completed expected behavior (1042)
74% of the active learners (1350)
Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model
10
Some early results
► Lessons learned
• The conative commitment is not enough. It is the behavioural
commitment which is actually a predictor of persistence.
• The dropout rate evolves less as the MCQ are performed. Once
engaged in the first MCQ, the chances to complete the course are
very strong.
• The failure rate is very low (4%). Participants who are fully committed in
the 4 MCQ succeed at 96%.
CONCLUSION
Leslie HUIN, Yann BERGHEAUD, Alexandra CODINA & Eric DISSON
THANKS
Leslie HUIN, Yann BERGHEAUD, Alexandra CODINA & Eric DISSON

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EMOOCS 2016 - Measuring COMPLETION and DROPOUT in MOOCs : a learner-centered model

  • 1. Measuring COMPLETION and DROPOUT in MOOCs Leslie HUIN, Yann BERGHEAUD, Alexandra CODINA & Eric DISSON A LEARNER-CENTERED model
  • 2. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 2 Introduction Let’s start by a short story… • A commitment process • A dynamic classification of individuals • A set of rates to measure completion and drop out MOOC 1 MOOC 2 Observation Vertical Learning DROP OUT ? ?
  • 3. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 3 Proposition of commitment process ► Some differences in the process • No selection • No registration fees • No « recognized » diploma • No consequences to drop ou or fail ► Less external factors of motivation ► Auto-determination ► Selection a-posteriori
  • 4. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 4 Proposition of commitment process REGISTRATION ACADEMIC COMMITMENT NEGOCIATION OBJECTIVES INTENTION EXPECTED BEHAVIOR CONATIVE COMMITMENT ACTION OBSERVED BEHAVIOR BEHAVIORAL COMMITMENT Conceptualized intentions Custom intentions Knowledge prerequisites Ability regarding the format A-posteriori Selection
  • 5. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 5 Dynamic classification of individuals REGISTRANT NO-SHOW PARTICIPANT LEARNER ACTIVE LEARNER OBSERVER ACADEMIC COMMITMENT CONATIVE COMMITMENT CONATIVE COMMITMENT BEHAVIORAL COMMITMENT
  • 6. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 6 Dynamic classification of individuals REGISTRANT NO-SHOW PARTICIPANT LEARNER ACTIVE LEARNER OBSERVER Registration Non participation Participation Non commitment Global drop-out Global commitment Effective commitment Effective drop-out Completion Failure Completion Effective drop-out Failure Expected Behavior  Observed Behavior
  • 7. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 7 Some early results ► 3 tracks • Open track • Knowledge track • Skills track INTRODUCTION TO BUSINESS PROCESS MAPPING Registration 7436 registered Participation 50% participation
  • 8. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 8 Some early results ► 3 tracks • Open track • Knowledge track • Skills track INTRODUCTION TO BUSINESS PROCESS MAPPING Global commitment 2442 learners Effective behavior 1350 active learners
  • 9. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 9 Some early results D Nb % Nb % (t vs t-1) Commitment (t0) 2442 - - - - MCQ 1 (t1) 1350 55% 1092 45% 1092 MCQ 2 (t2) 1150 47% 1292 53% 200 MCQ 3 (t3) 1065 44% 1377 56% 85 MCQ 4 (t4) 1042 43% 1400 57% 23 Behavior Drop-in Drop-out Completion 1001 learners 96% of completed expected behavior (1042) 74% of the active learners (1350)
  • 10. Measuring COMPLETION and DROPOUT in MOOCs - A LEARNER-CENTERED model 10 Some early results ► Lessons learned • The conative commitment is not enough. It is the behavioural commitment which is actually a predictor of persistence. • The dropout rate evolves less as the MCQ are performed. Once engaged in the first MCQ, the chances to complete the course are very strong. • The failure rate is very low (4%). Participants who are fully committed in the 4 MCQ succeed at 96%.
  • 11. CONCLUSION Leslie HUIN, Yann BERGHEAUD, Alexandra CODINA & Eric DISSON
  • 12. THANKS Leslie HUIN, Yann BERGHEAUD, Alexandra CODINA & Eric DISSON