Research In Educational Technology: Expanding Possibilities
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Transcript Research In Educational Technology: Expanding Possibilities
Richard Anderson
Department of Computer Science and Engineering
University of Washington
Dec 15, 2008
Microsoft Learning
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How can computing technology enhance
education?
– Focus on classroom instruction
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Challenges:
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Extending reach of education
Increasing interaction
Addressing problems of scale
Facilitating expression of ideas
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Video conferenced
distance education
Presentation
systems
UW PMP
DISC
Classroom
Presenter 2.0
Classroom
interaction systems
Tutored Video
Instruction
Classroom Feedback
System
UW CC TVI
Project
CATs for CS1
ConferenceXP
Center for
Collaborative
Technologies
Beihang TVI project
Classroom
Presenter 3.0
Structured Interaction
Presentations
(SIP)
Digital StudyHall
Student submissions
with CP
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Deployment driven
– Classroom use
– Technology development and promotion
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Goals and success criteria
– Adoption of technology and methodology
– Influence educational practice
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Target specific deployments
– Innovate in some aspect of deployment
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Distance Learning and Video Conferenced
Classes
Tutored Video Instruction
Digital Study Hall
Educational Technology for Low Resource
Environments
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Multi-site internet based audio-video
conferencing
UW Master’s Program
– Site-to-site courses between UW and Microsoft since
Winter 1997
– www.cs.washington.edu/education/dl/course_index.html
– Master’s level courses
– Goal: interaction across sites
• Approximate single classroom
– Various technologies have been used since the
program was introduced
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Initial phase
• Winter 1997 – Winter 2002
– Polycom + Netmeeting for
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PPT and SmartBoard
MSR DISC Project
– Target: UW, CMU, UCB,
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Brown graduate class
– Spring 2002
ConferenceXP
– Since Spring 2003
– Four way courses, Autumn
2004, Autumn 2005,
Autumn 2006
• UW, MSR, UCB, UCSD
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High quality, low latency video to support
interactive classes
High bandwidth internet video conferencing
– Internet2
– Multicast
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Single machine deployment
– High end PC
– Performance limit: handling multiple high resolutions
video streams
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Innovative presentation tools
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What went wrong
– Technology and systems
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failures
Multicast networking
High cost of interruptions
Audio
Loss of trust
Room configuration issues
Lack of control of lecture
room
Production quality
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How to Fail at
VideoConferenced Teaching
– Microsoft Faculty Summit 2002
– Anderson & Beavers
Meta lesson
– Learn more from failures
than from successes
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Goals
Real time interaction between sites
High quality video
Challenges
High bandwidth connections
▪ Multicast vs. Unicast
Classroom Audio
Establishing a pattern of interaction
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March 29, 2008,
LACCIR Meeting
Latin American and
Carribbean
Collaboration for ICT
Research
Seattle and University
of Chile, Santiago,
Chile
Seminar presentation
October 15, 2008
CXP Unicast reflector
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Masters class
University of
Washington
Lahore University of
Management Science
Microsoft
Computing for the
Developing world
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Ensuring adequate bandwidth
Limited bandwidth to Pakistan
Reliability
Multicast
Ensuring this did not compromise UW-MS class
Limited time to prepare
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CXP
Video
cameras
Video
cameras
Audio
Audio
PMP
VENUE
Video
Displays
Video
Displays
Speakers
Speakers
UW
Microsoft
Archiver
Student Tablets
CP3
Display
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Student Tablets
CP3
Instructor
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CP3
CP3
Display
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CP3
CP3
Microsoft
PMP
Venue 1
LUMS
PMP
Venue 2
Archiver
CP3
CP3
Server
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UW
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Tablet PC based
presentation and
classroom interaction
system
Ink based presentation
Classroom Activites
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Student
Instructor
Public
Display
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Student
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High connectivity for 9 out of 10 classes
One lecture originated from Pakistan
Only failure was on the UW-Microsoft Link (which
also brought down UW-Pakistan)
Improved audio (microphone issues)
Participation of students from Pakistan
Student submissions
Questions and discussions
Multiple rounds of audio communication
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Participants must have incentive for a
distance course
Instructor need to make an effort to create
multisite interaction
Active participants at remote sites help
Time zones and scheduling are major issues
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Video recorded lectures shown with facilitator
– Original model: lectures stopped by students for
discussion
– Peer tutors
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Developed by Jim Gibbons at Stanford University
Positive results reported in Science [1977]
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Introductory programming
Address community college articulation
Experiment with alternate approaches to
introductory computing instruction
UW – Beihang Algorithms course
Offering of UW Algorithms course in China
Digital StudyHall
Primary education in rural India
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Recorded lecture materials
Generally based on live classes
Class model
Lecture playback alternating with facilitator led
discussion
Facilitation models
▪ Gibbons: Peer instruction
▪ Active facilitation
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Offer a course in Beijing
based on UW course
UW instructor could not
teach the course in China
Scheduling prevented a
live course offering
1:30 pm in Seattle is 4:30
am in Beijing
Materials captured from
live class
Tutored Video Instruction
Slides, talking head, digital
ink
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Set up visit
Met with Teaching Assistants
Tested all technology
Trained Teaching Assistants in facilitation
Gave classes to students to demonstrate technology and
TVI
Midterm visit
Observed classes
Gave lecture without recorded video
Regular communication with Teaching Assistants
Data collection
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Applications displayed
Webviewer for video
replay
Classroom Presenter
Teaching Assistants
would show video or
show CP for inking on
slides or classroom
interaction
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Offering successful
Technology, institutional relationship
Cross-cultural issues
English language materials were comprehensible
Classroom discussion primarily in Chinese
Facilitation model
Significant support for facilitators
Classroom activities successful (and popular)
Facilitators innovative and reproduced some of the
instruction
Interactive and informal classroom atmosphere
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Lectures delivered in English
Language exposure consider to be a positive side
effect of the course
Teaching assistants facilitated in English
But discussions were generally in Chinese
Students reported using lectures outside of class
Instructor observations from site visit
Chinese students had substantially more English
listening than speaking experience
Recorded lectures did contain some colloquial usage
and cultural specific references which were lost
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Support provided for
facilitators
Lecture notes
Activities
Example: facilitators
working through example
from lecture slides
Facilitators invested a
larger effort in preparation
Studying videos
Planning how to cover
content
Instructor
Facilitator A
Facilitator B
Facilitator C
Active facilitation
Worked through lecture
examples
Led activities
Asked questions to students
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Tablet PC supported
activities
Student submission model
Used for every lecture
Technology generally
successful
Considered very positive
by students
High rate of participation
Provided a structure for
active learning
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Contrast to traditional large lecture class
Highly interactive class
Interaction episodes measured by observation logs
and videos of Beihang classes
Average of 13 interaction episodes per class, 10 with
students speaking
UW class averaged about 20 interaction episodes per
equivalent length of time
Beihang episodes averaged a greater number of
rounds of communication
Class atmosphere was informal
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Offering successful
– Technology, institutional relationship
Cross-cultural issues
– English language materials were comprehensible
– Classroom discussion primarily in Chinese
Facilitation model
– Significant support for facilitators
– Classroom activities successful (and popular)
– Facilitators innovative and reproduced some of the
instruction
– Interactive and informal classroom atmosphere
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Affiliated Project
Collaboration with
Randy Wang in
Lucknow
• Tutored Video
Instruction for primary
education in rural India
• YouTube + Netflix
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A people’s database
Mediation based pedagogy
Hub and spoke model
Content distribution by DVD
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Operational hubs in Lucknow, Calcutta, Pune,
and Bangladesh
Each hub works with a number of poor village or
slum schools
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Classroom study starts July 2009
Two year study
12 schools in Uttar Pradesh
12 DSH Classrooms
12 Traditional Classrooms
Evaluate Learning gains through
pretest/posttest
Classroom observations
Study impact on teachers
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Value of electronic materials in the process of
classroom instruction
Tools for teaching
– Teacher and students drive the process
– Flexible and unpredictable use
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Importance of high reliability
– And attention to address issues
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Broader context – interplay of technology
and other issues
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Facilitated Video Instruction
Biggest opportunity to enhance expertise
Synchronous Distance
Limited applications – but some specific cases of
interest
Classroom capture
Classroom Computing
Computer lab and individual devices
Computing Education
Lack of technical literacy is a limiting factor
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Recorded video with a facilitator
Take advantage of expertise
Facilitator has very important role
Applicable to a broad range of educational
domains
Primary and secondary
Health
Agriculture
Vocational
College
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Applicability for low resource environments
Low cost
▪ Replay (TV + DVD)
▪ Digital Video + PC based editing
Locally created content
Key components
Facilitation methodology
Support for facilitator
Program structure
▪ Content creation through delivery
Technology
Video production tool chain
Content distribution
Delivery
Feedback and monitoring
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Bandwidth is a significant issue
Low bandwidth + high cost
May be relevant for institutional outreach
programs
Arvind Eye Hospital, Tamil Nadu, India
International medical education
Positive side effect: classroom capture
Risk: Driven by need to justify infrastructure –
not for educational needs
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School based computing
Risk: deployments leading educational goals
Challenge: maximize benefits of “computers for
schools initiatives”
Models
Low cost educational devices
▪ Classmate, OLPC, Asus eee, …
Shared use
▪ Multipoint
School server
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Shortage of trained professionals
Hostile Computing Ecosystem
Very high virus infection
Poorly administered machines
Solutions
▪ Computing practices and maintenance
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Richard Anderson
– [email protected]
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Classroom Presenter
– http://www.cs.washington.edu/education/dl/presenter/
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Center for Collaborative Technologies at UW
– http://cct.cs.washington.edu/
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Digital StudyHall
– http://dsh.cs.washington.edu/
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Support from Microsoft Research, National Science
Foundation, HP, Ford, UW CSE
• Jay Beavers, Jane Prey, Randy Hinrichs, Chris Moffatt,
Jason Van Eaton, Paul Oka, Steve Wolfman, Ken
Yasuhara, Andrew Whitaker, Ruth Anderson, Craig
Prince, Valentin Razmov, Natalie Linnell, Krista Davis,
Jonathon Su, Sara Su, Peter Davis, Tammy
VanDeGrift, Joe Tront, Alon Halevy, Gaetano Borriello,
Ed Lazowska, Hal Perkins, Susan Eggers, Fred Videon,
Rod Prieto, Oliver Chung, Crystal Hoyer, Beth Simon,
Eitan Feinberg, Julia Schwarz, Jim Fridley, Tom
Hinkley, Ning Li, Jing Li, Luo Jie, Jiangfeng Chen,
Melody Kadenko, Julie Svendsen, Shannon Gillmore
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