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Making Computer Science Fun Again

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Title: Making Computer Science Fun Again


1
Has anyone considered the possibility that its
just not fun anymore?
Don Knuth, October 11, 2006
Making Computer Science Fun Again
Informatics Education Europe II Thessaloniki,
Greece November 29, 2007
Eric Roberts Professor of Computer Science,
Stanford University Past Chair of the ACM
Education Board
2
The Crisis in Computing Education
  • As everyone has now been aware for some time,
    computing enrollments in the United States and
    most of Europe have plummeted since 2001.
  • This drop is of significant economic concern
    because those same countries are training far
    fewer people than they need to fill the available
    positions. In the United States, there are now
    many more jobs in the IT sector than there were
    at the height of the dot-com boom, with all
    projections pointing toward continued growth.
  • This decline has been even more rapid among women
    and minority students, reducing diversity as the
    pool shrinks.

3
Reframing the Issue
  • All too often, those of us who teach computing
    have looked at the declining interest in the
    discipline as an enrollment crisis.
  • This characterization is self-defeating and makes
    it harder to attract allies to our cause.
  • In a typical university, every department wants
    to increase its enrollment, and we become merely
    another player in a parochial game of resources.
  • The real concern is that we have a pipeline
    crisis in that we are producing far too few
    graduates to fill the growing number of positions
    that require computing skills. Judging by
    demand, we were producing too few graduates even
    at the top of the boom.
  • Failure to respond to the pipeline crisis will
    place significant constraints on the computing
    industry and compromise national competitiveness.

4
A Graphic Indication of the Shortage
Graphic created by Greg Lavender at the
University of Texas.
5
BS Degrees in Computer Science
SOURCES
Susan T. Hill, Science and Engineering Degrees
1966-96. Report number NSF 99-330.
National Center for Education Statistics, Digest
of Education Statistics, March 2002.
The last five years represent an interpolation
based on the CRA Taulbee data.
6
The Conventional Wisdom
  • Just as pretty much everyone now recognizes the
    existence of an enrollment crisis, most everyone
    has a favorite totalizing explanation. The
    leading theories include
  • Fears about job security after the dot-com bust
    and offshoring
  • Negative images of those who work and study in
    the field
  • A broken curriculum that does not appeal to
    todays students
  • While there is truth behind each of these
    theories, none of them can serve as a
    comprehensive explanation of the student behavior
    we see today. Even when taken together, these
    theories overlook several important factors that
    are at least as important as underlying causes
    for enrollment decline.
  • The factors that lead to declining enrollments
    are complex and highly interconnected. Solving
    the problems depends on developing a better
    understanding of those factors and how they
    interact.

7
Outline
  • I will start by examining the three most
    prevalent theories
  • I will then consider three additional
    possibilities
  • I will conclude by offering some ideas about how
    we might address these problems.

8
Myths of a Jobs Crisis Persist
There is no shortage of evidence that people
believe the myths about the lack of jobs and the
danger of outsourcing.
Why would any smart American undergrad go into IT
when companies like IBM and HP are talking of
stepping up their off-shoring efforts in the
coming years? They want cheap labor, no matter
the real cost.
I have been very successful in IT, but I
certainly wouldnt recommend it today to anyone
except people who are geeks. . . .
I think the latest figures from the U.S.
Department of Labor are not correct.
9
But Data Show Job Prospects are Excellent
  • Although there was a slight dip in IT-sector
    employment after 2000, recent data show that this
    decline ended quickly and that there are now more
    computing jobs than at any time in history.
  • Projections from the Bureau of Labor Statistics
    indicate strong growth over the next decade
  • Money magazine identified software engineer as
    the 1 job, anticipating employment growth of 46
    over the next decade.

10
A Thought Experiment about Offshoring
  • Suppose that you are Microsoft and that you can
    hire a software developer from Stanford whose
    loaded costs will be 200,000 per year. Over in
    Bangalore, however, you can hire a software
    developer for 75,000 per year. Both are equally
    talented and will create 1,000,000 annually in
    value. What do you do?
  • Although the developer in Bangalore has a higher
    return, the optimal strategy is to hire them
    both. After all, why throw away 800,000 a year?
  • Any elementary economics textbook will explain
    that one hires as long as the marginal value of
    the new employee is greater than the marginal
    cost. The essential point is that companies seek
    to maximize return, and not simply to minimize
    cost.

11
Unravelling the Paradox
  • The enormous gulf between perception and reality
    about the strength of the job market in computing
    is surprising.
  • Myths tend to persist for a long time only when
    it is in the interest of powerful constituencies
    to maintain the mythology. In this case, every
    easily identifiable constituency would like to
    dispel the misconception
  • Companies want to hire more workers in the area.
  • Governments want to enhance economic
    competitiveness.
  • University computing departments want to attract
    more students.
  • Students themselves would presumably like to find
    greater job security.
  • After thinking about this issue for some time, I
    believe that the final assumption may be
    incorrect
  • Talking about job security does not seem to boost
    the number of majors.
  • Students are often most captivated by
    high-risk/high-return employment.
  • The prospect of wealth is often a more potent
    motivator than stability.
  • Enrollments track the NASDAQ, not the Bureau of
    Labor Statistics.

12
The Single Best Enrollment Predictor
A statistical analysis undertaken by my
colleague, Mehran Sahami, found that 88 of the
1993-2003 enrollment variance at Stanford can be
explained by the NASDAQ average of the preceding
year.
13
The Image Problem
  • There is no question that both computing work
    (and computing students and workers) have a
    negative image. The prototypical image of the
    pocket-protector-wearing, socially inept geek
    is deeply ingrained in our culture.
  • The problem with positing image as the reason
    for the current decline is that it fails to
    explain the high enrollments of the boom years.
    The cultural images at these two different times
    were largely the same, leading one to conclude
    that
  • Rich geeks are cool.
  • Well-paid geeks with high job security are
    boring.
  • Studies of current student interests supports
    this theory
  • Economics and business majors are generally on
    the rise.
  • Hedge-fund management and investment banking are
    top career choices.
  • The resurgence of the NASDAQ has caused
    enrollments to rebound.

14
Google Buys YouTube for 1.65 Billion
Dot-Com Boom Echoed in Deal to Buy YouTube By
ANDREW ROSS SORKIN Published October 10, 2006
A profitless Web site started by three
20-somethings after a late-night dinner party is
sold for more than a billion dollars, instantly
turning dozens of its employees into paper
millionaires. It sounds like a tale from the late
1990s dot-com bubble, but it happened
yesterday. Google, the online search behemoth,
agreed yesterday to pay 1.65 billion in stock
for the Web site that came out of that
partyYouTube, the video-sharing phenomenon that
is the darling of an Internet resurgence known as
Web 2.0. YouTube had been coveted by virtually
every big media and technology company, as they
seek to tap into a generation of consumers who
are viewing 100 million short videos on the site
every day. Google is expected to try to make
money from YouTube by integrating the site with
its search technology and search-based
advertising program.. But the purchase price
has also invited comparisons to the mind-boggling
valuations that were once given to dozens of
Silicon Valley companies a decade ago. Like
YouTube, those companies were once the Next Big
Thing, but some soon folded.
15
The Curriculum Has a Second-Order Effect
  • The computing curriculum as traditionally
    implemented has clear deficiencies and could
    certainly bear improvement.
  • As an explanation for declining enrollments, the
    curriculum is broken theory has serious
    shortcomings

16
The Problem Starts Early
The UCLA HERI study shows that students have
already made their decisions before they reach
university.
Source Higher Education Research Institute at
UCLA, 2005
17
Computing Faces Huge Challenges in Schools
  • People who have software development skills
    command high salaries and tend not to teach in
    schools.
  • In many schools, computing courses are seen as
    vocational rather than academic.
  • Students who are heading toward top universities
    are advised to take courses other than computer
    science to bolster their admissions chances.
  • Because schools are evaluated on how well their
    students perform in math and science, many
    schools are shifting teachers away from computer
    science toward these disciplines.
  • Computing skills in generaland programming in
    particular have become much harder to teach.
  • Teachers have very few resources to keep abreast
    of changes in the field.

18
CS is Losing Ground
  • The Computer Science exam is the only Advanced
    Placement exam that has shown declining student
    numbers in recent years.

19
CS Is Tiny Compared with Other Sciences
20
Complexity and Instability
  • Complexity. The number of programming details
    that students must master has grown much faster
    than the corresponding number of high-level
    concepts.

The number and complexity of topics that entering
students must understand have increased
substantially, just as the problems we ask them
to solve and the tools they must use have become
more sophisticated. An increasing number of
institutions are finding that a two-course
sequence is no longer sufficient to cover the
fundamental concepts of programming.

Computing Curricula 2001
  • Instability. The rapid evolution of the field
    creates problems for computing education that are
    qualitatively different from those in most fields.

21
The March of Progress
22
The Pace of Change
  • The pace of changeparticularly in terms of its
    effect on the languages, libraries, and tools on
    which introductory computer science education
    dependshas increased in recent years.
  • Individual universities and colleges cant keep
    up.
  • In a survey by the Computer Science Teachers
    Association, secondary school teachers cited the
    rapid pace of change as the most significant
    barrier.

23
The Vilification of Programming
  • Those who argue most strongly for the broken
    curriculum theory often blame programming for the
    woes of the discipline, decrying the widely held
    view among students that

computer science programming
This view is indeed too narrow.
24
Dangerous Trends
We have met the enemy and he is us.

Walt Kelly
  • As an illustration of this trend, consider the
    following post that appeared on SIGCSE-MEMBERS on
    August 14, 2006

I have an idea for a panel that Id like to
organize for SIGCSE07. Im asking for
volunteers (or nominations of others) to serve on
the panel. The panel Id like to organize would
have a title something like Alternative
Models for a Programming-lite Computer Science
Curriculum The theme of the panel would be to
share ideas and thoughts on how we might reduce
(or eliminate) the emphasis on programming within
a computer science curriculum. The basic idea is
to cause discussion centered on the knowledge and
skills students of tomorrow will need in the
global economic workspace and the implications
for the CS curriculum. As more and more aspects
of software development of offshored, what kind
of curriculum would allow a student to be
successful in the IT field?
25
Industry Is Not Amused
  • Every technical person in the industry with whom
    Ive spoken is horrified by the prospect of
    reducing the emphasis on programming in the
    undergraduate curriculum.
  • At the ACM Education Council meeting in
    September, a panel of technical people from
    companies like Microsoft, Google, Amazon, and
    Boeing were united in their concern about the
    scarcity of competent software developers. I
    have summarized their position as the computing
    curriculum is not nearly as broken as it seems
    likely to become.
  • Employers in developed countries with high-tech
    sectors are desperate for more people with
    programming talent. In his keynote at ITiCSE
    2007 in Dundee, Scottish entrepreneur Chris van
    der Kuyl said that the lack of programming talent
    was the greatest limiting factor in the industry.

He called it coding.
26
Programming Remains Central
  • As with many of the popular theories for
    declining enrollments, the call to reduce or
    eliminate programming from computing curricula
    arises from some undeniable assumptions
  • There are more jobs in IT that dont require
    programming.
  • Programming is not particularly popular with
    students today.
  • Offshoring of programming jobs has increased.
  • Unfortunately, this analysis ignores the
    following equally valid propositions
  • There are more jobs in IT that do require
    programming.
  • Programming has historically been what attracts
    students the most.
  • Offshoring exists largely because of a shortfall
    of skilled employees.

27
Programming Has Become Much Harder
  • A very real part of the problem, however, is that
    programming has become significantly more
    difficult than it used to be, both because we use
    it to solve more challenging problems and because
    the tools we use have much more detail complexity.
  • In her interviews with pioneers in the computing
    field, SIGCSE Chair Barbara Boucher Owens found
    that every person with whom she spoke got into
    the field because they were captivated by
    programming. That is happening much less often.
  • We need to find a way not to reduce or eliminate
    programming from the computing curriculum, but
    instead to restore the sense of passion, beauty,
    joy, and awe that Grady Booch spoke about so
    eloquently in his keynote at SIGCSE last year.

28
What We Need To Do
  • Recognize that the problems extend well beyond
    the university.
  • Press government and industry to improve
    computing education in schools.
  • Increase public awareness of the range of
    opportunities.
  • Forge alliances with industry to bolster the
    image of work in the profession.
  • Expand efforts to increase diversity.
  • Develop tools and materials that can be used off
    the shelf.
  • Improve distribution channels for best practices.
  • Promote interdisciplinary curricular connections.
  • Continue experimentation in curricular
    strategies.
  • Encourage research into new software paradigms
    that can make programming fun again.

29
Positive Initiatives
  • The National Science Foundation sponsored four
    regional conferences on Integrated Computing and
    Research (ICER) and has funded several proposals
    under a new Computing Pathways (C-PATH)
    initiative.
  • Several ACM Education Board projects are proving
    helpful
  • A brochure for high-school students
  • The CC2001 series of curriculum reports
  • The Computer Science Teachers Association
  • A community effort to develop Java tools (the ACM
    Java Task Force)
  • There are many interesting ideas in the community
    that are showing promise
  • Mark Guzdials media computation course at
    Georgia Tech
  • Stuart Regess back to basics strategy at the
    University of Washington
  • Jeannette Wings computational thinking
    concepts
  • The Alice Project developed at Carnegie-Mellon
  • Various robot-based introductions
  • Pair-programming strategies at a variety of
    schools

30
Some Encouraging Signs
Matt Jacobsen, Senior, UC Berkeley
A common misconception is that many people think
CS means sitting in front of a computer all day
long. This may often be the case for programming,
but CS is a large field. There are many
applications that require CS skills that involve
little or no programming. . . .
From Dan Garcias Faces of CS web site.
31
The End
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