Voice interactive learning. A framework and evaluation @ ITiCSE 2013
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Voice Interactive Learning: A Framework and Evaluation
María del Puerto Paule Ruiz , Víctor Manuel Álvarez García, Juan Ramón Pérez Pérez, Moisés Riestra González
Project funded by: Ministry of Science and Technology of Spain
Department of Computer ScienceUniversity of Oviedo
Asturias
Canterbury, UK
Previous background
BarcelonaMobile social networking
LondonVoice over IP
University of OviedoAcademic researchlearning technologies
School of EngineeringUniversity of Oviedo
Students working in a classroom
Working with college students
TabletVoice-basedapplication
Mobilephone Web browser
VisualInterface
SpeechInterface
Students work
Audio-based access to e-learning
What for?
Learning processes in which sound is the main source of information
Students with perceptual auditory learning styles
Hands-busy, eyes-busy and mobility-required situations
The device has speech input/output capabilities but lack of usable displays or keyboards
A disability does not allow a person to make use of a visual display
5 Scenarios for audio-based e-learning
How?
Service-oriented MiddlewareVoice Interactive Classroom
Lear
nin
g M
anag
emen
t Sy
stem
Quizzes and
surveys
RSS events
Grading
Mod
ule
s Vo
ice
LMS
Calendar events
LMS Voice Modules
Adaptive learning
Voice Interactive Classroom Video
How can others create Voice Interactive
Classrooms?
Software development methodology
Choice of scenarios
Technological design
Voice modules backlog
Platform
Web
Voice
Grades
Events
Authentication
Evaluation
Development
Sprints
Deliverable prototype increment
Deliverable prototype increment
Deliverable prototype increment
How can we evaluate Voice Interactive
Classrooms?
Usability
Didactic effectiveness
Empirical evaluation model
Usability
Expended Resources
ss)Completenecyess(AccuraEffectiven=Efficiency
Survey=onSatisfacti
iceTurnsPract
ctTurnsPerfe=ate)ess(ErrorREffectiven
Didactic Effectiveness
E-learning tools (visual & vocal)
Participants
Materials
Grades Feeds Reader
Usability testing
Calendar events
Data Collection
Usability Testing Results
Efficiency ± 50%
Effectiveness90%
Satisfaction95%
Didactic Effectiveness Testing
Content processing
Visual processing
Auditoryprocessing
Learning StyleDidactic
Effectiveness
Participants
Steps
Instruments and Method
Vark questionnaireKnowledge test
Results
Aural contents have didactic value for e-learning courses
There is a relationship between learning styles and type of content
Aural
Visual
ConclusionsIntegrate audio features with e-learning
Develop an evaluation method: usability and didactic effectiveness
Test the method: • Didactic value of aural contents• Relationship between learning styles and
content types
Evolve & complete this method Add parameters: memorability and learnability