THE FOUR FORCES THAT INFLUENCE THE QUALITY OF KNOWLEDGE PROVISION SERVICES: Re-Thinking Engineering Education through a Law-Professor - PowerPoint PPT Presentation

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THE FOUR FORCES THAT INFLUENCE THE QUALITY OF KNOWLEDGE PROVISION SERVICES: Re-Thinking Engineering Education through a Law-Professor

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Title: THE FOUR FORCES THAT INFLUENCE THE QUALITY OF KNOWLEDGE PROVISION SERVICES: Re-Thinking Engineering Education through a Law-Professor


1
THE FOUR FORCES THAT INFLUENCE THE QUALITY OF
KNOWLEDGE PROVISION SERVICESRe-Thinking
Engineering Education through a Law-Professors
lenses
  • Ben Koo, Tsinghua University
  • John Cha, Beijing Jiaotong University
  • Edward Crawley, MIT

2
Designing a Learning Organization
  • Is about
  • To support a miniature society
  • By providing various functional services such as
  • Knowledge Aggregation, Dissemination, and
    Creation
  • Using effective forces to improve service
    qualities
  • Not only about
  • Individual performance
  • Statistical metrics of individual performance

3
Creator of the Four forces
  • Lawrence Lessig
  • Law Professor at Stanford University
  • Author of the following books
  • And most recently REMIX

benkoo_at_tsinghua.edu.cn
4
What are the four forces
  • Architecture/Law ltgt Pre/Post Constraints
  • Market/Norm ltgt Pull/Push forces

Market
Law
Learning Organization
Architecture
Norm
Modified from LessigsCode v2.0
5
Architecture
  • A Pre-Emptive Force
  • The stable properties of a system that
    constraints the activities of its inhabitants
    BEFORE they act.

Example The Great Wall of China Courtesy Dr.
Nan Tu
6
Law
  • Enforceable consequences AFTER certain rules are
    broken

7
Market
  • A force of enticement, attraction, pull
  • For 5 bucks an hour, you may ask me to believe
    in anything you want!
  • Winston Zeddemore applying for a Ghost Buster
    position
  • (played by Ernie Hudson)

Source Wikipedia on Ernie Hudson and Ghostbusters
8
Norm
  • A force that expels or pushes agents to act in
    conformity.
  • It can be embarrassing to be different, even just
    a little bit.

http//www.faithdoubt.com/be-a-little-different
9
How do we use these forces?
  • If we treat schools as miniature societies
  • We may use the forces to improve the
    performance of engineering schools as service
    agencies.
  • but, what are the goals of our schools?
  • Providing knowledge? Nurturing engineering
    culture?
  • Then, how do we start testing these ideas?
  • Start with two consecutive courses at THU IE
    Dept.
  • Data Structures and Algorithms
  • Database Concepts

10
Conceiving a Service Product
  • Goals of our Knowledge Provisioning Service
  • Knowledge Aggregation
  • Aggregate people and resources
  • Aggregate experience and traditions
  • Aggregate momentum/interests
  • Knowledge Dissemination
  • Disseminate to fellow students
  • Disseminate to other dept/schools
  • Disseminate to the society
  • Knowledge Creation
  • Create knowledge based on incremental aggregation
  • Create knowledge based on cross-pollination
  • Create knowledge based on innovation

11
A Pact with the students
  • The goal/requirements were developed with
    iterative inputs from students
  • All students are informed in the beginning of the
    course, that our collective goal is
  • not to just get a passing grade on one course,
  • but to exercise our rights and responsibilities
  • to benefit-from and contribute-toknowledge
    provisioning services.
  • They are encouraged to integrate any content
    knowledge from other courses and their life
    experience.

12
The first bit of Remix
  • Lets meet the students at the beginning of the
    semester
  • Establishing a vocabulary amongst the students
  • They are relatively shy and not so well prepared
  • How do we communicate with the students in their
    local language?
  • The first bit of Remix
  • Video excerpts from Prison Break

13
Goal-oriented architectural plans
  • Technical Architectures
  • Choosing between various dialects of scientific
    languages to express the technical content
  • Organizational Architectures
  • One instructor lectures to many students
  • Many students prepare lectures to help others
  • Team-based structures to facilitate co-opetition
  • Workflow Architectures
  • How do we choose between different format of
    student/instructor interactions to enforce
    learning?
  • Weekly lectures, recitations, homework submission
    standards,

14
Some Technical Decisions
  • Under Tsinghua IEs environmental context
  • We require students to use at least two
    languages, and use as many complementary tools as
    possible.
  • Most students will need least 5 languages, many
    learned close to 30 different new languages and
    tools in one semester.
  • All students has a series of required homework,
    create an executable programming language from
    scratch.
  • All homework are managed using networked version
    control systems (SubVersioN, a.k.a. SVN)
  • Computational literacy is the key, the more they
    learn, the faster and easier it gets.

15
Technologies enables new possibilities
A quick demonstration of technical possibilities
16
Organizational Decisions
  • To instill a societal context, all students are
    considered a member of the Knowledge City.
  • Teams headcount cannot exceed 9, and each team
    is divided into three functional sub-teams.
  • Model for Data Management
  • View for Human-Machine Interactions
  • Controller for algorithm/process definition
  • The organizational policy is modeled after the
    practice of Extreme Programming

17
2007 Teams labor division
VIEW
CONTROLLER
MODEL
18
Workflow Decisions
  • Classroom is a venue for Town Hall meetings
  • Students are to actively demonstrate their
    learning progress, not just to passively listen
    to some lecturers.
  • Stringent requirements for student-prepared
    lectures. At least two rehearsals before they
    go-live. Afterwards, a review lecture must be
    prepared and presented the following week.
  • All teams might be randomly selected to present
    theirweekly progress.

19
Quality Control Process
A short video demonstrating a typical workflow in
class.
19 / 36
20
The Pre-Emptive Forces
  • Technical Architecture
  • The vocabulary, grammar, and the application
    context of a scientific language, pre-determines
    the cognitive scope of students technical
    knowledge.
  • Organizational Architecture
  • Effective interaction mechanisms amongst
    students/lecturers could pre-emptivelyeliminate
    communication bottlenecks
  • Workflow Architecture
  • Creates learning experiences that can be
    reproduced and managed in prescribedprocess
    patterns

21
Laws that complements Architectures
  • Laws should specify the consequences of policy
    violation.
  • The ability to enforce the law, as well as
  • The strength of punishment
  • Example
  • Late assignments are
  • Punishable by point deduction
  • Plagiarism are
  • Manual/Automatically detected?

22
Points of Law Execution
Weekly Lecture Ends
Quiz
Student Progress Reports
First Rehearsal
Review Video Production
SVN Version Control Service
Student Lecture
Second Rehearsal
Weekly Lecture Starts
23
The Power of Law
  • The Power of Reasoning
  • Are students aware of the consequences?
  • Their technical vocabulary helps them to
    effectively describe what they might have
    violated.
  • Their organizational structure may help them
    filter the illegal intellectual
    content/activities
  • Their workflow patterns will further reduce the
    unnecessary mistakes, and identify the
    differences between aggregation, dissemination,
    and creation
  • The process of claiming a creation requires
    iterative and community-based reasoning.

24
Market and Intellectual Currencies
  • There are many currencies in the marketplace
  • Three currencies are discussed here
  • Student Grades
  • Who gets higher grades?
  • How to motivate students by grades?
  • Student feedback on teaching
  • Is this a fair exchange?
  • Time as a currency
  • Time spent on improving the learning organization?

25
Norm and Peer Pressure
  • The right to be different
  • A shared value across knowledge city
  • Why is sharing good?
  • Share the vision of contributing free
    knowledge.
  • The effect of free to the infrastructure and
    architecture of Knowledge City.
  • How to instill an engineering culture?
  • Find/Create ones own voice
  • Stephen Coveys 8th habit
  • Find your voice and inspire others to find
    theirs.

26
A bit of Remix
  • Lessigs latest book, Remix, talks about the
    civil rights and case studies on the Remix
    copy-righted intellectual material.
  • Lets watch a 3 min. video of Remix at
    Tsinghua.
  • The lecture was on Applications of Data
    Structures and Algorithms.
  • A typical in-class workflow is illustrated in the
    video

27
The whole is greater than the sum of its parts!
Market
Law
Learning Organization
Architecture
Norm
Modified from LessigsCode v2.0
28
Balance and Symmetry
  • Designing organizations is about checks and
    balances! The four forces are balanced in their
    complementary directions. Before/After,
    Pull/Push, makes it rather complete to cover all
    angles of social dynamics.
  • The four force framework is symmetrical,
    becauseapplies to a broad range of scales and
    types of social dynamics it explains. Its basic
    principles would apply to a small engineering
    class, or a large engineering school.
  • This framework was originally conceived by
    Lessig, for the explanation of the entire
    Internet-infested society.

29
How can we apply it?
  • The four forces can be used as a shared
    vocabulary to describe the dynamic properties of
    learning organizations.
  • A curriculum design workflow may be deduced from
    the four forces
  • Choose architectures to fit the learning goals
  • Define rules based on architectural capabilities
  • Choose fair grading policies to encourage
    learning (Market)
  • Establish a norm that values knowledge sharing

30
Conclusion
  • One or two courses may not be considered a
    curriculum,
  • but it could have a tipping effect of students
    overall learning behavior.
  • A good starting point to implement CDIO, without
    too much political uphill battle.
  • We might learn a few tricks from a lawyer,
    (Lawrence Lessig), who cares about the philosophy
    and new civil rights primarily established by a
    great engineer, Richard Stallman.

31
Acknowledgement
  • Thanks go to Wang TianJu, who created many
    diagrams in this presentation.
  • We must also thank the students and other
    participants in this Tsinghua-CDIO experiment,
    who truly dedicated their time, and creative
    energy to push the envelop on many fronts.
  • Welcome to join us at the Knowledge City during
    2009 Summer Time.
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