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Learning is Not a Spectator Sport:
Doing is Better than Watching for Learning from a MOOC
Ken Koedinger, Jihee Kim, Julianna Zhuxin Jia, Mimi McLaughlin and Norman Bier
Introduction
This paper explores the learning benefits of the use of informational assets (e.g., videos and text) in
MOOCs, versus the learning by doing opportunities that interactive activities provide. The dataset
came from Coursera. In the MOOC course, student can also sign for OLI materials, so that makes
interesting comparison groups.
Research Questions
• Factors predicting dropout ?
• Learning outcomes from OLI usage vs. MOOC-only ?
• Course features and learning outcomes ?
Conclusion
While many MOOCs do include questions and some online and offline homework assignments,
some have argued that a key limitation of many online courses is that they lack sufficiently rich,
well-supported activities with adaptive scaffolding for learning by doing. Our results support the
view that video lectures may add limited value for student learning and that providing more interac-
tive activities will better enhance student learning outcomes.
Future Work
Going beyond this specific psychology MOOC, we look to doing and seeing an expansion of this
kind of analysis to other MOOCs, online or blended courses that include both passive declarative
elements and interactive problem-solving elements.
MOOC vs OLI
!
RQ 2: Linear Regression:
• Exam score as the outcome variable
• Instructional group (MOOC+OLI vs. MOOC-only) + six other: pre-
test score, Quiz 1 score, occupation, age, education and gender
• MOOC-only students (N=215) had an average final exam score of
56.9% and the MOOC+OLI students (N=939) averaged 65.7%.
• Self-selected groups bias
RQ 1: Logestic Regression:
• From the total number of registered
students (27,720), only 4% take the final
exam. Of the 9075 students who registered
for the OLI materials, only 10% took the
final exam.
• The rate of quiz participation is consistent-
ly higher for MOOC+OLI students than for
MOOC students in general, as twice as high.
Findings
RQ 3: Watcher/Doer/Reader
(a) Most students are either on the low half
of watching, reading, and doing(Neither
column for Non-doers) or high on all three,
but many (>70) are present in the other 6
combinations.
(b) Doers consistently do better in the total
quiz score and next best is either watching or
reading.
(c) Final exams appear to show greater
sensitivity to reading and watching further
boosting the benefits of doing, but doing is
still the clear dominant factor.
RQ 3: Tetrad Analysis:
Tetrad inference of causal relationships between pretest score, course features (doing activities, watching videos, read-
ing pages), total quizzes score, and final exam.
The most influential impact comes from doing activities, with a normalized coefficient of 0.44. The strength of this
relationship is more than six times the impact of watching video or reading pages (both with coefficients of about .065
and more than three times the combined impact of watching and reading.

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Poster_L@S

  • 1. Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC Ken Koedinger, Jihee Kim, Julianna Zhuxin Jia, Mimi McLaughlin and Norman Bier Introduction This paper explores the learning benefits of the use of informational assets (e.g., videos and text) in MOOCs, versus the learning by doing opportunities that interactive activities provide. The dataset came from Coursera. In the MOOC course, student can also sign for OLI materials, so that makes interesting comparison groups. Research Questions • Factors predicting dropout ? • Learning outcomes from OLI usage vs. MOOC-only ? • Course features and learning outcomes ? Conclusion While many MOOCs do include questions and some online and offline homework assignments, some have argued that a key limitation of many online courses is that they lack sufficiently rich, well-supported activities with adaptive scaffolding for learning by doing. Our results support the view that video lectures may add limited value for student learning and that providing more interac- tive activities will better enhance student learning outcomes. Future Work Going beyond this specific psychology MOOC, we look to doing and seeing an expansion of this kind of analysis to other MOOCs, online or blended courses that include both passive declarative elements and interactive problem-solving elements. MOOC vs OLI ! RQ 2: Linear Regression: • Exam score as the outcome variable • Instructional group (MOOC+OLI vs. MOOC-only) + six other: pre- test score, Quiz 1 score, occupation, age, education and gender • MOOC-only students (N=215) had an average final exam score of 56.9% and the MOOC+OLI students (N=939) averaged 65.7%. • Self-selected groups bias RQ 1: Logestic Regression: • From the total number of registered students (27,720), only 4% take the final exam. Of the 9075 students who registered for the OLI materials, only 10% took the final exam. • The rate of quiz participation is consistent- ly higher for MOOC+OLI students than for MOOC students in general, as twice as high. Findings RQ 3: Watcher/Doer/Reader (a) Most students are either on the low half of watching, reading, and doing(Neither column for Non-doers) or high on all three, but many (>70) are present in the other 6 combinations. (b) Doers consistently do better in the total quiz score and next best is either watching or reading. (c) Final exams appear to show greater sensitivity to reading and watching further boosting the benefits of doing, but doing is still the clear dominant factor. RQ 3: Tetrad Analysis: Tetrad inference of causal relationships between pretest score, course features (doing activities, watching videos, read- ing pages), total quizzes score, and final exam. The most influential impact comes from doing activities, with a normalized coefficient of 0.44. The strength of this relationship is more than six times the impact of watching video or reading pages (both with coefficients of about .065 and more than three times the combined impact of watching and reading.