Friday, November 12, 2010
Whimsy
Thursday, November 4, 2010
Eharmony (tm) for professional relationships.
Tuesday, October 26, 2010
The network and the message
All links are to the current version of The Stanford Encyclopedia of Philosophy Principal Editor: Edward N. Zalta URL: http://plato.stanford.edu/,The Metaphysics Research Lab Center for the Study of Language and Information Stanford University, Stanford Ca.
Saturday, October 23, 2010
Pre verbal thinking and the web
Saturday, October 16, 2010
Assessment and models of learning
This is really more a thought experiment than a practical suggestion but please walk with me for a bit on this. What if we use the student at the end of their course as the input for an expert system? i.e. we queried their knowledge over an extended period until we felt it was captured within a rule set and a data store.
Now imagine we have evaluated the students, and we now have a set of expert systems, all encoded from separate students impressions and connections built while taking part in the course.
Now how do we compare these expert systems to verify that they are close enough to a canonical system to qualify as being fair copies?
Would such a comparison, if it were possible, be a valid assessment?
Would it preclude the possibility that the student had gone beyond the teacher and built a more valid learning network?
What’s interesting here is, as ever, the implied spaces.
Matters arising: The first issue is can an expert system, given sufficient time and resources, successfully capture the sum of the knowledge acquired by the student. If it can’t, what is it going to miss and how can that be assessed?
The second question is assuming such a thing is possible, should all such systems resemble each other? If the topic is flying a plane, we would appreciate it if they were similar, and bore some passing resemblance to the Airbus peoples model of the actions of an ideal pilot, but if the subject is creative writing, its less clear that this method will work. Here I would claim that the implied space, the part of the learning which cannot be captured in a set of rules, is the real learning on the course. #PLENK2010
Thursday, October 14, 2010
What Does a theory do?
This is coming from a discusion of "Theory" in week four of PLENK2010
A theory is a simplified model of some real world phenomena which tries to encode previous experience with a view to guiding future action.
A really good theory will make wild improbable predictions which turn out to be true. Think things which glow in the dark and the photoelectric effect leading to H bombs here.
A fun theory starts with minute observations of some trivial inconsistency in conventional explanation and replaces it with a much grander structure.
Many theories will cover the facts, few give you a totaly new vision of the existing landscape.
I would sugest
Conectivism
The school of Barbianna
Foucault's analysis of power in the classroom
as examples of theories which do.
Wednesday, October 6, 2010
Bereiter's Learning Paradox
https://docs.google.com/Doc?id=anw8wkk6fjc_14gpbqc2dt
Bereiters Learning paradox as described above ignores two things.
1) The first is a fundamental principle of computer science, which is that once a computer language contains a few simple constructs it is possible to perform arbitrarily complex computations with it, given sufficient memory to store intermediate results,
2) The phenomena of emergent behavior whereby as systems get larger unexpected behaviors emerge (Conways game of life is an early example, as are many systems beloved of investigators in the field of Chaos theory.)
The word used to name conecitivism implies a vast preexisting web of potential knowledge onto which we sling our hammock of knowing. I think there is more to learning than that, and I like to think that there are processes at work which generate, in addition to a plethora of connections to existing knowledge sources and systems, new substrate in knowledge space through which we can “boldly go where no man has gone before”.