Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
S C I E N C E P A S S I O N T E C H N O L O G Y
www.tugraz.at
Introducing an Information
System for successful
support of ...
2
LIVE Interaction in Virtual learning Environments
Index
1. Goal
2. Motivation
3. Implementation
4. Study
5. Conclusion
A...
3
LIVE Interaction in Virtual learning Environments
Graz, University of Technology
Europe, Austria, Graz
http://www.tugraz...
4
Goal
Goal
Development and evaluation
of a web-based information system
to support a live stream of a lecture
with differ...
5
Motivation
Attention and Communication
Selective attention is the most crucial resource for
human learning
Enhances both...
6
Motivation
Audience-Response-Systems
ARSs are well known for face-to-face education in
standard classroom-situations
pre...
7
Implementation
Implementation
Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology
July 15...
8
Implementation
Overview
Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology
July 15, 2013
9
Implementation
Lecturer GUI
Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology
July 15, ...
10
Implementation
Lecturer GUI
1. Metadata of the event
2. Calculated degree of attention of all students
3. Free space fo...
11
Implementation
Student GUI
Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology
July 15, ...
12
Implementation
Student GUI
1. Foreign web-content (e.g. the live-stream)
2. Metadata of the event and calculated degree...
13
Implementation
Three Interaction-Types
1. Automatically started
The interactions of an interaction-method of this type
...
14
Implementation
Showing Interactions
Three Models are used to schedule interactions
1. showing interactions to students
...
15
Implementation
Interaction-Methods
Simple Questions
General questions are automatically shown to the
students.
Solve Ca...
16
Implementation
Interaction-Methods
Set Attention-Level
Students could set their current level of attention
through a sl...
17
Implementation
Degree of Attention
A value between 0% and 100%
Every interaction-method calculates its own value
Most o...
18
Implementation
Reaction-Time based Attention-Level
For every interaction:
Attention-level of the interaction-method: th...
19
Study
Study
Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology
July 15, 2013
20
Study
Setting and Observations
Live broadcasting of the lecture Cleanroom
Technology
Five Units
Seven to twelve attende...
21
Study
Improvements and Observations
Some improvements:
more content-related questions
pauses during questions
. . .
Aft...
22
Conclusion
Conclusion
A web-application which provides different methods of
interaction
Calculation of the degree of at...
23
Conclusion
Thanks
for your attention!
Social Learning
Computer and Information Services
Graz University of Technology
t...
Upcoming SlideShare
Loading in …5
×

Introducing an Information System for successful support of selective attention in online courses

982 views

Published on

Presentation at HCI 2013, Las Vegas

Published in: Education, Technology
  • Be the first to comment

  • Be the first to like this

Introducing an Information System for successful support of selective attention in online courses

  1. 1. S C I E N C E P A S S I O N T E C H N O L O G Y www.tugraz.at Introducing an Information System for successful support of selective attention in online courses Andreas Holzinger, Josef Wachtler and Martin Ebner Graz, University of Technology July 15, 2013
  2. 2. 2 LIVE Interaction in Virtual learning Environments Index 1. Goal 2. Motivation 3. Implementation 4. Study 5. Conclusion Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  3. 3. 3 LIVE Interaction in Virtual learning Environments Graz, University of Technology Europe, Austria, Graz http://www.tugraz.at Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  4. 4. 4 Goal Goal Development and evaluation of a web-based information system to support a live stream of a lecture with different forms of interactions like an Audience-Response-System. Sustain and enlarge Students’ attention. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  5. 5. 5 Motivation Attention and Communication Selective attention is the most crucial resource for human learning Enhances both behavioral and neuronal performance Interaction and communication between all groups of participants in all sorts and directions are key features for an increased attention. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  6. 6. 6 Motivation Audience-Response-Systems ARSs are well known for face-to-face education in standard classroom-situations presenting questions to students answering with a special handset answers are shown to the lecturer ARS has the power to enhance the attention and the participation of the students (reported by many studies) Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  7. 7. 7 Implementation Implementation Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  8. 8. 8 Implementation Overview Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  9. 9. 9 Implementation Lecturer GUI Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  10. 10. 10 Implementation Lecturer GUI 1. Metadata of the event 2. Calculated degree of attention of all students 3. Free space for occurring interactions 4. Control-elements to invoke interactions Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  11. 11. 11 Implementation Student GUI Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  12. 12. 12 Implementation Student GUI 1. Foreign web-content (e.g. the live-stream) 2. Metadata of the event and calculated degree of attention 3. Free space for occurring interactions 4. Control-elements to invoke interactions Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  13. 13. 13 Implementation Three Interaction-Types 1. Automatically started The interactions of an interaction-method of this type are automatically presented to the attendees in a random way. 2. Started by the attendees This type represents interaction-methods which could be started by the attendees. 3. Invoked by the lecturer With interaction-methods of this type the lecturer is able to invoke them. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  14. 14. 14 Implementation Showing Interactions Three Models are used to schedule interactions 1. showing interactions to students 2. presenting interactions to the lecturer 3. error messages If a model reaches its scheduled time a special view is shown in the reserved space. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  15. 15. 15 Implementation Interaction-Methods Simple Questions General questions are automatically shown to the students. Solve Captcha Students are prompted to solve a captcha randomly. Report Problem A technical problem could be reported to the lecturer by the students. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  16. 16. 16 Implementation Interaction-Methods Set Attention-Level Students could set their current level of attention through a slider. Ask Lecturer Questions could be asked to the lecturer by the students. Ask Students Also the lecturer could ask questions to the students. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  17. 17. 17 Implementation Degree of Attention A value between 0% and 100% Every interaction-method calculates its own value Most of them are using a reaction-time based approach Overall attention-level: the mean of all interaction-methods Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  18. 18. 18 Implementation Reaction-Time based Attention-Level For every interaction: Attention-level of the interaction-method: the mean of all interactions Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  19. 19. 19 Study Study Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  20. 20. 20 Study Setting and Observations Live broadcasting of the lecture Cleanroom Technology Five Units Seven to twelve attendees Lecture 1 and 2: very low attention-level (less than 40%) Attendees felt very uncomfortable with their low attention-level and they liked content-related questions more than general questions. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  21. 21. 21 Study Improvements and Observations Some improvements: more content-related questions pauses during questions . . . After that the attention-level stabilized at 75% and more Also the attendees felt satisfied with this improvements. Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  22. 22. 22 Conclusion Conclusion A web-application which provides different methods of interaction Calculation of the degree of attention Positive effects on the attention under the mentioned circumstances Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013
  23. 23. 23 Conclusion Thanks for your attention! Social Learning Computer and Information Services Graz University of Technology tugtc@tugraz.at http://elearning.tugraz.at Slides available at http://elearningblog.tugraz.at Andreas Holzinger, Josef Wachtler and Martin Ebner, Graz, University of Technology July 15, 2013

×