| Title | What is: Pedagogy, Education, Intelligence, Knowledge, Learning, Teaching |
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Dr. Rob Reilly Visiting Scientist, Center for Educational Computing Initiatives, Massachusetts Institute of Technology, Cambridge, Massachusetts USA And Vice President, IEEE Education Society, USA Email: rreilly@MIT.EDU |
Dr. Rob Reilly received a Doctoral degree and Bachelor’s degree from the University of Massachusetts at Amherst (USA), as well as a Master’s degree from Springfield College (Massachusetts USA). He has been a computer science teacher at various institutions for over 30 years. Some highlights of his career include: serving in the Office of Information Technologies at the University of Massachusetts at Amherst, where his research dealt with the formulation of university wide policy for the integration and application of educational technology; serving as a researcher at the Institute of Intelligent Systems at the University of Memphis (Tennessee USA); and service as a researcher in the Media Lab at the Massachusetts Institute of Technology (MIT).
In the IEEE Education Society, Dr. Reilly was the 2011-2012 President; he is currently its Vice President for Chapters Activity.
He has received IGIP’s Nikola Tesla Medal in 2012 for excellence in teaching pedagogy, the IEEE-MGA Leadership Award, the IEEE Larry K. Wilson Transnational Award, the IEEE Education Society’s Edwin Jones Jr. Meritorious Service Award, the IEEE Computer Society’s Contributions in a Pre-University Environment Award, and the Massachusetts Department of Educations Technology Pathfinder Award.
Abstract
As educators we are familiar with terms such as: education, learning, knowledge, wisdom, information, teaching, intelligence. These concepts are all important to us; but it seems that their meaning, how they are applied, and how we interpret them in light of evolving pedagogy is quickly evolving. Understanding these terms and understanding how they fit-into a model for delivering ‘education’ for a model based knowledge domain (e.g., science, engineering) is critically important. This presentation will shed some light on the definitions of terms that we use in ‘education’ and will provide an understanding how these various concepts (e.g., information, intelligence, learning, wisdom) fit into a model for effectively delivering content from a model-based knowledge domain.
