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S C I E N C E n P A S S I O N n T E C H N O L O G Y
u www.tugraz.at
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
On Using Learning Analytics
to Track the Activity of
Interactive MOOC Videos
22
Graz University of Technology
•  Europe, Austria, Graz
•  http://www.tugraz.at
•  http://elearningblog.tugraz.at
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
33
@TuMohdKhalil @mebner@behi_at@wachjose88
The Authors
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
2016-04-26
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
44
Content
1.  Motivation
2.  Related Work
3.  Interactions in Learning Videos
4.  Evaluation
5.  Summary
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
55
Motivation
•  interaction and communication are very important
influencing factors of students' attention
•  attention is considered as the most crucial resource
for human learning
•  it is from high importance to understand and to
analyze it
•  learning analytics plays a major factor in enhancing
learning environments components
•  reflecting and benchmarking the whole learning
process
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
66
Related work
•  other interactive video tools
•  Youtube
•  Zaption
•  EdTed
•  …
•  real-world pendant: audience response system
•  has the power to enhance students‘ attention and
participation
•  the addition of interactivity to learning videos tries to
generate similar benefits
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
77
Interactions in Learning Videos
•  web-based information system called LIVE
•  registered and authenticated users
•  different methods of interaction
•  automatically asked questions and captchas
•  questions to the lecturer by the learners
•  asking text-based questions to the attendees live or at
pre-defined positions
•  multiple-choice questions at pre-defined positions
•  different possibilities of analysis
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
88
Video interrupted by a multiple-choice
question
1.  paused video is
overlaid by an
interaction
§  to resume playing, it
is required to
respond to the
interaction
2.  control elements on
the right side of the
video
§  invoke interactions
manually
§  ask a question to the
teacher
Interactions in Learning Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
99
Timeline Analysis
•  number of users (green) and views (red)
•  exact values on mousehover
Interactions in Learning Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
1010
Watched Parts per User
•  marks each watched part with a bar
•  time of joining and leaving in relative and absolute
values on mousehover
Interactions in Learning Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
1111
Evaluation
•  MOOC – Maker Day for School Children
•  Using Log File of LIVE
•  Exploratory Analysis and Visualizations
•  Examining effeciency and weak-points.
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
1212
Evaluation – Delay of Response
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Delay of Response
Ø  Certified students took less time than the
others in answering the questions.
1313
Evaluation – Delay of Response
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
More time
answering
questions
1414
Evaluation – Delay of Response
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Non-certified
holds more
outliers
1515
Evaluation – Timing of the Questions
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Timing of the Questions
Ø  We wanted to infer the relevance timing of the first
question to describe the drop rate during videos.
Ø  Students drop after 15% of the videos.
Ø  Most students who watch 20%, keep watching the
whole video
1616
Evaluation – Timing of the Questions
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Limited drop ratio
1st Question,
should be in the
high-drop rate
area. (0-10%)
1717
Evaluation – Timing of the Questions
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Colored points depict distinct
watchers count of each week
video.
Grey points indicates number
of views.
Week1-3 shows more views
per user
Last two weeks,
views=watchers
1818
Evaluation – Total Activity
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Total Activity of the Videos
Ø  Counting no. Of plays,stops and fully watched.
Ø  Activity was high in Week1,Week3 & Week5.
1919
Evaluation – Total Activity
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
Highly active
because of the
topic
2020
Summary
•  an interactive video platform presenting videos of
a MOOC
•  an evaluation of this system to examine its
performance and describe the behavior of
students
•  the main concept behind latching on the students'
attention becomes attainable through evaluating
the questions' content and the interactions timing
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
2121
Thank you for your attention!
•  Josef Wachtler, josef.wachtler@tugraz.at
•  Mohammad Khalil, mohammad.khalil@tugraz.at
•  Behnam Taraghi, b.taraghi@tugraz.at
•  Martin Ebner, martin.ebner@tugraz.at
Graz University of Technology
Educational Technology
Münzgrabenstraße 35a, 8010 Graz, Austria – Europe
http://elearningblog.tugraz.at
On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
2016-04-26
Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner

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On Using Learning Analytics to Track the Activity of Interactive MOOC Videos

  • 1. 1 S C I E N C E n P A S S I O N n T E C H N O L O G Y u www.tugraz.at 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
  • 2. 22 Graz University of Technology •  Europe, Austria, Graz •  http://www.tugraz.at •  http://elearningblog.tugraz.at On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 3. 33 @TuMohdKhalil @mebner@behi_at@wachjose88 The Authors Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner 2016-04-26 On Using Learning Analytics to Track the Activity of Interactive MOOC Videos
  • 4. 44 Content 1.  Motivation 2.  Related Work 3.  Interactions in Learning Videos 4.  Evaluation 5.  Summary On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 5. 55 Motivation •  interaction and communication are very important influencing factors of students' attention •  attention is considered as the most crucial resource for human learning •  it is from high importance to understand and to analyze it •  learning analytics plays a major factor in enhancing learning environments components •  reflecting and benchmarking the whole learning process On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 6. 66 Related work •  other interactive video tools •  Youtube •  Zaption •  EdTed •  … •  real-world pendant: audience response system •  has the power to enhance students‘ attention and participation •  the addition of interactivity to learning videos tries to generate similar benefits On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 7. 77 Interactions in Learning Videos •  web-based information system called LIVE •  registered and authenticated users •  different methods of interaction •  automatically asked questions and captchas •  questions to the lecturer by the learners •  asking text-based questions to the attendees live or at pre-defined positions •  multiple-choice questions at pre-defined positions •  different possibilities of analysis On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 8. 88 Video interrupted by a multiple-choice question 1.  paused video is overlaid by an interaction §  to resume playing, it is required to respond to the interaction 2.  control elements on the right side of the video §  invoke interactions manually §  ask a question to the teacher Interactions in Learning Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 9. 99 Timeline Analysis •  number of users (green) and views (red) •  exact values on mousehover Interactions in Learning Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 10. 1010 Watched Parts per User •  marks each watched part with a bar •  time of joining and leaving in relative and absolute values on mousehover Interactions in Learning Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 11. 1111 Evaluation •  MOOC – Maker Day for School Children •  Using Log File of LIVE •  Exploratory Analysis and Visualizations •  Examining effeciency and weak-points. On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 12. 1212 Evaluation – Delay of Response On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Delay of Response Ø  Certified students took less time than the others in answering the questions.
  • 13. 1313 Evaluation – Delay of Response On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner More time answering questions
  • 14. 1414 Evaluation – Delay of Response On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Non-certified holds more outliers
  • 15. 1515 Evaluation – Timing of the Questions On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Timing of the Questions Ø  We wanted to infer the relevance timing of the first question to describe the drop rate during videos. Ø  Students drop after 15% of the videos. Ø  Most students who watch 20%, keep watching the whole video
  • 16. 1616 Evaluation – Timing of the Questions On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Limited drop ratio 1st Question, should be in the high-drop rate area. (0-10%)
  • 17. 1717 Evaluation – Timing of the Questions On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Colored points depict distinct watchers count of each week video. Grey points indicates number of views. Week1-3 shows more views per user Last two weeks, views=watchers
  • 18. 1818 Evaluation – Total Activity On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Total Activity of the Videos Ø  Counting no. Of plays,stops and fully watched. Ø  Activity was high in Week1,Week3 & Week5.
  • 19. 1919 Evaluation – Total Activity On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner Highly active because of the topic
  • 20. 2020 Summary •  an interactive video platform presenting videos of a MOOC •  an evaluation of this system to examine its performance and describe the behavior of students •  the main concept behind latching on the students' attention becomes attainable through evaluating the questions' content and the interactions timing On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner
  • 21. 2121 Thank you for your attention! •  Josef Wachtler, josef.wachtler@tugraz.at •  Mohammad Khalil, mohammad.khalil@tugraz.at •  Behnam Taraghi, b.taraghi@tugraz.at •  Martin Ebner, martin.ebner@tugraz.at Graz University of Technology Educational Technology Münzgrabenstraße 35a, 8010 Graz, Austria – Europe http://elearningblog.tugraz.at On Using Learning Analytics to Track the Activity of Interactive MOOC Videos 2016-04-26 Josef Wachtler, Mohammad Khalil, Behnam Taraghi, Martin Ebner