Future education will consciously
include machine learning as well as human learning. Regardless of whether the learner is a human
or a machine, education will be characterized by these traits:
·
peer-to-peer
learner networks
·
open
source wikis
·
experiential
and exploratory
·
process
oriented
·
individualized
and learner-directed
·
global
collaboration
·
interactive
use of genuine text
Human learning plus machine learning
will spur progress by providing immediate access to knowledge development.
The machines will be primarily concerned with relationships,
cross-checking and validating facts as they are collected; the humans will be
concerned with interrelationships, appropriating and revealing truths as
they are discovered.
"Facts" will consist of data points in all formats: video, voice, music, hypertext, space-time information,1 and their relationships to humans and other machines. "Truths" will include opinions, emotions, insights,2 and their interrelationships to literature history, mathematics, science, and technology. As truths are posited in the cloud, they become facts to be cross-checked and validated, then made available for human access, peer review, substantiation, and appropriation. Thus information becomes knowledge and recursively eventuates as wisdom.3
Self-directed learning automatically adapts curricula to personality type, intelligence strengths, and learning style, whether the learner is a machine or a human.
Most people will not say, "I am a student" or even a learner; fewer yet will claim to be teachers, though we will all fulfill both roles as we access and post information. We will simply be living our lives—traveling, working, shopping, scuba diving, or whatever—but we will engage in these activities through media that are conscious of themselves as learning organizations. There will be a role for Blackboard, Moodle, and their heirs, but it will really be tomorrow's Googles, Facebooks, and the like who facilitate this transformation to learning systems that are not merely lifelong—they are eternal.
We will pay for our truths with a currency of facts, finally becoming the prosumers that Alvin Toffler predicted in The Third Wave.
"Facts" will consist of data points in all formats: video, voice, music, hypertext, space-time information,1 and their relationships to humans and other machines. "Truths" will include opinions, emotions, insights,2 and their interrelationships to literature history, mathematics, science, and technology. As truths are posited in the cloud, they become facts to be cross-checked and validated, then made available for human access, peer review, substantiation, and appropriation. Thus information becomes knowledge and recursively eventuates as wisdom.3
Self-directed learning automatically adapts curricula to personality type, intelligence strengths, and learning style, whether the learner is a machine or a human.
Most people will not say, "I am a student" or even a learner; fewer yet will claim to be teachers, though we will all fulfill both roles as we access and post information. We will simply be living our lives—traveling, working, shopping, scuba diving, or whatever—but we will engage in these activities through media that are conscious of themselves as learning organizations. There will be a role for Blackboard, Moodle, and their heirs, but it will really be tomorrow's Googles, Facebooks, and the like who facilitate this transformation to learning systems that are not merely lifelong—they are eternal.
We will pay for our truths with a currency of facts, finally becoming the prosumers that Alvin Toffler predicted in The Third Wave.
1. i.e., bioinformatical,
logistical, transactional, financial, meteorological, astronomical information,
etc.
2. i.e., medical, economical, cosmological knowledge, etc.
3. i.e, truth, beauty, and goodness
2. i.e., medical, economical, cosmological knowledge, etc.
3. i.e, truth, beauty, and goodness
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