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The New Division of Labor:
How Computers Are Creating the
       Next Job Market
       PISA 2009 -ERA
                  Raimundo Rubio
          Science and Mathematics Officer

                     ISEI-IVEI
   BASQUE INSTITUTE FOR RESEARCH AND
       EVALUATION IN EDUCATION
ON MARCH 22, 1964, THE AD HOC COMMITTEE ON THE TRIPLE
        Revolution sent a fourteen-page memorandum
                 to President Lyndon Johnson



The signers included chemist Linus Pauling
  (recipient of two Nobel Prizes),

        economist Gunnar Myrdal (a future
 Nobel Prize-winner), and
Gerard Piel, publisher of Scientific American.
A new era of production has begun
• Its principles of organization are as different from
  those of the industrial era as those of the
  industrial era were different from the agricultural.
• The cybernation revolution has been brought
  about by the combination of the computer and
  the automated self-regulating machine.
• This results in a system of almost unlimited
  productive capacity which requires progressively
  less human labor.
• Cybernation is already reorganizing the economic
  and social system to meet its own needs.
It involves rethinking education and training,
      beginning with answering four fundamental questions:


• What kinds of tasks do humans perform better than
  computers?

• What kinds of tasks do computers perform better than
  humans?

• In an increasingly computerized world, what well-paid
  work is left for people to do both now and in the
  future?

• How can people learn the skills to do this work?
In 1970, more than one-half of employed U.S. adults worked in
             two broad occupational categories:

• blue-collar jobs and clerical (white)jobs
• Few people got rich in these jobs, but they
  supported middle- and lower-middle-class living
  and many were open to high school graduates.
• Today, less than 40 percent of adults have blue-
  collar or clerical jobs and many of these jobs
  require at least some college education.
• The computerization of work has played a
  significant role in this change.
In the past, when new technologies have replaced workers in a given
   sector, new sectors have always emerged to absorb the displaced
                               laborers

• Today, all three of the traditional sectors of the economy--
  agriculture, manufacturing, and service--are experiencing
  technological displacement, forcing millions onto the
  unemployment rolls.
• The only new sector emerging is the knowledge sector,
  made up of elite entrepreneurs, scientists, technicians,
  computer programmers, professionals, educators, and
  consultants.
• While this sector is growing, it is not expected to absorb
  more than a fraction of the hundreds of millions who will
  be eliminated in the next several decades in the wake of
  revolutionary advances in the information and
  communication sciences.
VARITIES OF HUMAN INFORMATION PROCESSING


Conscious              Application of          Rules Cannot be
Application of         Inductive Rules         Articulated
Deductive Rules

(Rules- Based Logic)   (Pattern Recognition)   (Pure Pattern Recognition)

Arithmetic,            Predicting a Mortgage   Writing a Legal Brief,
                       Default
Boarding Pass                                  a Truck Driver making a
Recognizing                                    left turn against traffic.
                       Recognizing a Spoken
                       Name
What Skills are Now Required?
                              Expert Thinking:
        Solving problems for which there are no rule-based solutions.

                                   Examples :

•Diagnosing the illness of a patient whose symptoms seem
strange

•Creating a good tasting dish from the ingredients that are fresh in the market
that morning


•Repairing an auto that does not run well but that the computer diagnostics
report has no problem.



These problems require what we have called pure pattern recognition –
information processing that cannot now be programmed on a computer.
Complex Communication:

              Interacting with humans to acquire information, to
         explain it, or to persuade others of its implications for action.

Examples:

•Manager motivating the people whose work she supervises


•A sales person gauging a customer’s reaction to a piece of clothing,


•A biology teacher explaining how cells divide,


•An engineer describing why a new design for a DVD player is an advance over previous
designs.
Routine Cognitive Tasks.
             Mental tasks that are well described by deductive or
                               inductive rules.

Examples:

• Maintaining expense reports

•Filing new information provided by insurance customers

•Evaluating applications for mortgages.




Because these tasks can be accomplished by following a set of rules,
they are prime candidates for computerization.
Routine Manual Tasks.
              Physical tasks that can be well described using
                       deductive or inductive rules.

Examples:

•Installing windshields on new vehicles in automobile assembly plants


•Counting and packaging pills into containers in pharmaceutical firms.



Since these tasks can be defined in terms of a set of precise, repetitive
movements they are also candidates for computerization.
Non-routine Manual Tasks:
               Physical tasks that cannot be well described as
 following a set of If-Then-Do rules because they require optical recognition
   and fine muscle control that have proven extremely difficult to program
                            computers to carry out.

Examples:

•driving a truck

•cleaning a building

•setting gems in engagement rings.

Computers do not complement human effort in carrying out most such tasks.
As a result, computerization should have little effect on the percentage of the
workforce engaged in these tasks.
Figure 3:
Economy-Wide Measures of Routine and Non-Routine Task Input: 1969 - 1998
                         (1969 = 0) (pag . 14)


                                                                                                            Routine manual
Mean task input as percentiles of the 1960 task distribution




                                                               65

                                                               60                                           Nonroutine manual

                                                               55
                                                                                                            Routine cognitive
                                                               50

                                                                                                            Nonroutine analytic
                                                               45

                                                               40
                                                                                                            Nonroutine interactive
                                                                1960        1970       1980   1990   2002



                                                                    (Levy y Murnane)
Secondary graduation number in the future


14.000.000


12.000.000


10.000.000


 8.000.000
                                                              2003
                                                              2010
 6.000.000

                                                              2015
 4.000.000


 2.000.000


        0

             China         EU          India             US
PISA 2009 -Electronic Reading Assessment

Reading of electronic texts is becoming increasingly necessary and prevalent in
society.

PISA recognises this and has integrated the reading of electronic texts into the
PISA 2009 Reading Framework.

The Electronic Reading Assessment (ERA) is an innovative
        Electronic Reading Assessment
project aiming at assessing the reading literacy of 15-year-olds using electronic
texts.

It is an international option in PISA 2009. ERA is a 30-minute test using existing
school IT infrastructure.

http://erasq.acer.edu.au/

Username: public
Password: access.

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The New Division Of Labor -How Computers Are Creating the Next Job Market-PISA 2009 -ERA

  • 1. The New Division of Labor: How Computers Are Creating the Next Job Market PISA 2009 -ERA Raimundo Rubio Science and Mathematics Officer ISEI-IVEI BASQUE INSTITUTE FOR RESEARCH AND EVALUATION IN EDUCATION
  • 2. ON MARCH 22, 1964, THE AD HOC COMMITTEE ON THE TRIPLE Revolution sent a fourteen-page memorandum to President Lyndon Johnson The signers included chemist Linus Pauling (recipient of two Nobel Prizes), economist Gunnar Myrdal (a future Nobel Prize-winner), and Gerard Piel, publisher of Scientific American.
  • 3. A new era of production has begun • Its principles of organization are as different from those of the industrial era as those of the industrial era were different from the agricultural. • The cybernation revolution has been brought about by the combination of the computer and the automated self-regulating machine. • This results in a system of almost unlimited productive capacity which requires progressively less human labor. • Cybernation is already reorganizing the economic and social system to meet its own needs.
  • 4. It involves rethinking education and training, beginning with answering four fundamental questions: • What kinds of tasks do humans perform better than computers? • What kinds of tasks do computers perform better than humans? • In an increasingly computerized world, what well-paid work is left for people to do both now and in the future? • How can people learn the skills to do this work?
  • 5. In 1970, more than one-half of employed U.S. adults worked in two broad occupational categories: • blue-collar jobs and clerical (white)jobs • Few people got rich in these jobs, but they supported middle- and lower-middle-class living and many were open to high school graduates. • Today, less than 40 percent of adults have blue- collar or clerical jobs and many of these jobs require at least some college education. • The computerization of work has played a significant role in this change.
  • 6. In the past, when new technologies have replaced workers in a given sector, new sectors have always emerged to absorb the displaced laborers • Today, all three of the traditional sectors of the economy-- agriculture, manufacturing, and service--are experiencing technological displacement, forcing millions onto the unemployment rolls. • The only new sector emerging is the knowledge sector, made up of elite entrepreneurs, scientists, technicians, computer programmers, professionals, educators, and consultants. • While this sector is growing, it is not expected to absorb more than a fraction of the hundreds of millions who will be eliminated in the next several decades in the wake of revolutionary advances in the information and communication sciences.
  • 7. VARITIES OF HUMAN INFORMATION PROCESSING Conscious Application of Rules Cannot be Application of Inductive Rules Articulated Deductive Rules (Rules- Based Logic) (Pattern Recognition) (Pure Pattern Recognition) Arithmetic, Predicting a Mortgage Writing a Legal Brief, Default Boarding Pass a Truck Driver making a Recognizing left turn against traffic. Recognizing a Spoken Name
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  • 9. What Skills are Now Required? Expert Thinking: Solving problems for which there are no rule-based solutions. Examples : •Diagnosing the illness of a patient whose symptoms seem strange •Creating a good tasting dish from the ingredients that are fresh in the market that morning •Repairing an auto that does not run well but that the computer diagnostics report has no problem. These problems require what we have called pure pattern recognition – information processing that cannot now be programmed on a computer.
  • 10. Complex Communication: Interacting with humans to acquire information, to explain it, or to persuade others of its implications for action. Examples: •Manager motivating the people whose work she supervises •A sales person gauging a customer’s reaction to a piece of clothing, •A biology teacher explaining how cells divide, •An engineer describing why a new design for a DVD player is an advance over previous designs.
  • 11. Routine Cognitive Tasks. Mental tasks that are well described by deductive or inductive rules. Examples: • Maintaining expense reports •Filing new information provided by insurance customers •Evaluating applications for mortgages. Because these tasks can be accomplished by following a set of rules, they are prime candidates for computerization.
  • 12. Routine Manual Tasks. Physical tasks that can be well described using deductive or inductive rules. Examples: •Installing windshields on new vehicles in automobile assembly plants •Counting and packaging pills into containers in pharmaceutical firms. Since these tasks can be defined in terms of a set of precise, repetitive movements they are also candidates for computerization.
  • 13. Non-routine Manual Tasks: Physical tasks that cannot be well described as following a set of If-Then-Do rules because they require optical recognition and fine muscle control that have proven extremely difficult to program computers to carry out. Examples: •driving a truck •cleaning a building •setting gems in engagement rings. Computers do not complement human effort in carrying out most such tasks. As a result, computerization should have little effect on the percentage of the workforce engaged in these tasks.
  • 14. Figure 3: Economy-Wide Measures of Routine and Non-Routine Task Input: 1969 - 1998 (1969 = 0) (pag . 14) Routine manual Mean task input as percentiles of the 1960 task distribution 65 60 Nonroutine manual 55 Routine cognitive 50 Nonroutine analytic 45 40 Nonroutine interactive 1960 1970 1980 1990 2002 (Levy y Murnane)
  • 15. Secondary graduation number in the future 14.000.000 12.000.000 10.000.000 8.000.000 2003 2010 6.000.000 2015 4.000.000 2.000.000 0 China EU India US
  • 16. PISA 2009 -Electronic Reading Assessment Reading of electronic texts is becoming increasingly necessary and prevalent in society. PISA recognises this and has integrated the reading of electronic texts into the PISA 2009 Reading Framework. The Electronic Reading Assessment (ERA) is an innovative Electronic Reading Assessment project aiming at assessing the reading literacy of 15-year-olds using electronic texts. It is an international option in PISA 2009. ERA is a 30-minute test using existing school IT infrastructure. http://erasq.acer.edu.au/ Username: public Password: access.