I’ve been having
fun embarking on a new research project this semester. This requires a lot of
reading and hunting down the appropriate resources. Sometimes I’m looking for a
brief introductory overview of a particular concept or approach; at other times
I’m looking for a specific application or methodology. Finding the right
materials at the right level, so I can get the most out of it, can be
challenging. While the process is occasionally frustrating, I do enjoy the
scent and the hunt to learn something new. I’m also reasonably efficient and
well-practiced in separating the wheat from the chaff in the Internet era.
How do novice
students try to learn something new? Before the internet, you might go to the
library and look for (what you hope is) the appropriate book or encyclopedia.
Or you might try to find an expert in the area – this could be a
teacher/professor or some other practitioner. You are likely to trust the
library book or the area expert. Information is scarce, and for it to get into
an encyclopedia or an expert’s brain-schema, it is likely significant resources
were expended to do so. The information is probably of ‘good’ quality because
it has been filtered by the appropriate gatekeepers.
In the Wild Wild
Web (WWW) of information abundance, the problem is wading through the chaff to
get to the needle in the haystack. How does one filter through that information? With modern search engines, an Artificial Intelligence (A.I.) bot
sorts or ranks the information according to some algorithm. And if you so
happened to find what you wanted, the ‘helpful’ bot might even suggest or
recommend what you might look into next. For example, “folks like you who read
X also read Y.” The algorithm is based on some assumptions, and further
interactions between the user and the algorithm refines it – for better or for
worse. Algorithms can also be ‘gamed’ by users.
All this made me
think about the push towards online ‘personalized’ learning. I’ve looked at
some of these adaptive-learning systems, which guide a student through learning
a particular topic. To find out where the student is at, questions are posed.
Based on the students correct or incorrect or half-correct answers, an
algorithm ‘decides’ the next item in the sequence that the student should
tackle. Presumably this is based on some logical pedagogical system. Maybe we
should call this pedalogic. (Hah! I invented another new word.) The
system filters the student through twists and turns in its database, supposedly
to provide the optimum pathway that meets the personalized learning needs of
that student. At least that’s what is advertised.
In these
adaptive-learning systems, the components of the system have already been
vetted, presumably by pedalogical experts (practicing instructors
working with educational technologists). While this may pull from WWW, it has
been pre-curated by humans. (Post-curation, pathways can be determined by
algorithms and user statistics.) Could a similar system work for an independent
learner navigating with WWW as an information source? Let’s call it GooglExpert
– the adaptive-learning powerful A.I. searchbot. GooglExpert may ask you a few
questions during the process to narrow the search scope and collect information
to further populate its search database for future users. In this way, it
curates the parts of WWW most useful or reliable at the level appropriate to
the user. A bunch of data down the road could lead to a lucrative paywalled-garden
within the WWW. GooglExpert might even hire expert practitioners to contribute.
If high quality
learning requires high quality curation, who or what is best at it? A single
novice learner would not be able to separate the wheat from the chaff, but a
crowd-sourced group of relative novices might. Would an expert actually be
needed? Maybe at some stages. I guess I’m asking myself what relevance I would
have to the life of a student in an age where independent learning could take
place through GooglExpert Garden. How important is the relationship between
humans to the learning process? Maybe it’s different at different learning
stages. I could probably teach myself quite a bit of new chemistry, but wouldn’t
it be so much richer if I learned it directly from a human expert in the field?
Perhaps it’s because I can’t imagine a versatile enough A.I.-bot, but maybe
it’s just that I lack imagination.
In the meantime,
more exciting independent learning awaits!
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