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 Information Technology is a combination of Data
  Processing and Data Communication Technologies.
  Quite often, Data is called Information and many cases,
  Data is even called ‘Knowledge’ out of widely
  prevailed misconceptions.
 Data is made of ‘bytes’ , a combination of ‘1’s and ‘0’s.
  When Data is processed, we can generate
  ‘Information’.
   Knowledge gives value, relevance and meaning to
    Information. When knowledge is split or put into
    application, we can generate Information. But a pile or
    heap of Information never makes ‘Knowledge’
 Knowing ‘Knowledge’ is a complex task, compared to
  that of Data or Information. People rich in Information
  may be poor in Knowledge, as data rich need not be
  Information rich.
 Most of the dictionaries treat Information as Knowledge
  .Missing knowledge for Information is a common
  phenomenon, a concern expressed by the poet Eliot in
  ‘The Waste Land’.
 Knowledge is built upon ‘Concepts’. Concepts have
  their own independent existence and meaning. Data or
  Information cannot exist independently. Structure of
  Knowledge is non-linear and dynamic. Education,
  Research, Decision-making and Professional Practices
  are ‘Knowledge-Based’.
   Can we treat human brain as a Data Processing and
    Data Storing mechanism ? Biologists and Brain
    Researchers tell us that the major function of the Brain is
    collecting, processing, storing and retrieving ‘Data’ or
    ‘Information’. Can we reduce ‘ dreams’ ‘thoughts’,
    ideas, plans, decisions, learning, beliefs or imaginations
    into mere Data or Information?

   Can we consider the Bible, the Quran or the Vedas as
    the books of Data or as the books of Knowledge?
    Though we can find many people who can recite the
    entire Bible or Quran or Vedas, we cannot find many
    who can recite an entire telephone directory. Why?
    Brain is essentially a concept or knowledge processing,
    storing, recollecting and communication mechanism. It
    facilitates direct access in stead of serial access.
   Information Technology is built upon not on
    ‘Knowledge Structure’ but on ‘Data Structure’. On
    the other hand, Education, consisting of Learning,
    Teaching, Training and Research, is built upon
    Knowledge Structure.

   As and when Education is reduced into Data or
    Information manipulation, Information Technology
    dictates the terms of Education and of course the
    looser is the Humanity, especially the young
    generation who misses Knowledge for Data. Data
    or Information cannot empower anybody but
    Knowledge.
 IT cannot enter deep in the heart of
  Education-    Teaching,      Learning   and
  Research in Schools, Colleges and
  Universities.
 Such a realization lead to the birth of
  Knowmatics- Mathematics and Engineering
  of Knowledge, to study the nature,
  structure, production, consumption and
  marketing of Knowledge.
 Knowmatics is the basis of Knowledge
  Industry- mass or industrial production and
  marketing of Knowledge.
 For more details about Knowmatics and Mathew’s
  Theories of Knowledge and their           Educational
  applications, please refer 1): Mathew, R. M. and
  Mathew, R. R. Knowmatics- A New Revolution in Higher
  Education, Journal of the World Universities Forum
  4,1,2011:1-11. Its video presentation is posted in
  YouTube; 2) www.slideshare.net/drrajumathew
 Knowmatics-based Knowledge Industry offers very
  great business and employment opportunities, besides
  attractive additional income for the Best Teachers,
  Experts and Professionals.
 System, Technology and Business Model for Knowmatics
  –based Knowledge Industry have already been
  developed       for the potential      investors and
  entrepreneurs.

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I.T. - EDUCATION INCOMPATIBILITY DISINTEGRATES EDUCATION FROM KINDERGARTEN TO UNIVERSITY LEVEL: SEARCHING FOR SOLUTIONS

  • 1.
  • 2.  Information Technology is a combination of Data Processing and Data Communication Technologies. Quite often, Data is called Information and many cases, Data is even called ‘Knowledge’ out of widely prevailed misconceptions.  Data is made of ‘bytes’ , a combination of ‘1’s and ‘0’s. When Data is processed, we can generate ‘Information’.  Knowledge gives value, relevance and meaning to Information. When knowledge is split or put into application, we can generate Information. But a pile or heap of Information never makes ‘Knowledge’
  • 3.  Knowing ‘Knowledge’ is a complex task, compared to that of Data or Information. People rich in Information may be poor in Knowledge, as data rich need not be Information rich.  Most of the dictionaries treat Information as Knowledge .Missing knowledge for Information is a common phenomenon, a concern expressed by the poet Eliot in ‘The Waste Land’.  Knowledge is built upon ‘Concepts’. Concepts have their own independent existence and meaning. Data or Information cannot exist independently. Structure of Knowledge is non-linear and dynamic. Education, Research, Decision-making and Professional Practices are ‘Knowledge-Based’.
  • 4. Can we treat human brain as a Data Processing and Data Storing mechanism ? Biologists and Brain Researchers tell us that the major function of the Brain is collecting, processing, storing and retrieving ‘Data’ or ‘Information’. Can we reduce ‘ dreams’ ‘thoughts’, ideas, plans, decisions, learning, beliefs or imaginations into mere Data or Information?  Can we consider the Bible, the Quran or the Vedas as the books of Data or as the books of Knowledge? Though we can find many people who can recite the entire Bible or Quran or Vedas, we cannot find many who can recite an entire telephone directory. Why? Brain is essentially a concept or knowledge processing, storing, recollecting and communication mechanism. It facilitates direct access in stead of serial access.
  • 5. Information Technology is built upon not on ‘Knowledge Structure’ but on ‘Data Structure’. On the other hand, Education, consisting of Learning, Teaching, Training and Research, is built upon Knowledge Structure.  As and when Education is reduced into Data or Information manipulation, Information Technology dictates the terms of Education and of course the looser is the Humanity, especially the young generation who misses Knowledge for Data. Data or Information cannot empower anybody but Knowledge.
  • 6.  IT cannot enter deep in the heart of Education- Teaching, Learning and Research in Schools, Colleges and Universities.  Such a realization lead to the birth of Knowmatics- Mathematics and Engineering of Knowledge, to study the nature, structure, production, consumption and marketing of Knowledge.  Knowmatics is the basis of Knowledge Industry- mass or industrial production and marketing of Knowledge.
  • 7.  For more details about Knowmatics and Mathew’s Theories of Knowledge and their Educational applications, please refer 1): Mathew, R. M. and Mathew, R. R. Knowmatics- A New Revolution in Higher Education, Journal of the World Universities Forum 4,1,2011:1-11. Its video presentation is posted in YouTube; 2) www.slideshare.net/drrajumathew  Knowmatics-based Knowledge Industry offers very great business and employment opportunities, besides attractive additional income for the Best Teachers, Experts and Professionals.  System, Technology and Business Model for Knowmatics –based Knowledge Industry have already been developed for the potential investors and entrepreneurs.