NESTA's Decoding Learning [90 pages, 4.4 MB PDF], published today, was written under contract by Rose Luckin, Brett Bligh, Andrew Manches, Shaaron Ainsworth, Charles Crook and Richard Noss from the Learning Sciences Research Institute at Nottingham University and from IOE/Birkbeck's London Knowledge Lab.
The report has caught the attention of the media, with much of the coverage having a strong "money wasted by stupid people and organisations" flavour. (BBC - Costly hi-tech kit lies unused in schools, says study; Telegraph - Schools 'wasting £450m a year' on useless gadgets.)
But this is an important report, because it gets right to the heart of the challenge of enhancing learning with technology in schools (and elsewhere), whilst retaining an underlying (and evidence-based) optimism.
To encourage you to read the report in full, and to give you its overall flavour, here is its concluding section in full.
We looked for proof, potential and promise in digital education.
We found proof by putting learning first. We have shown how different technologies can improve learning by augmenting and connecting proven learning activities. This approach
gives us a new framework for evaluating future innovations in education.
The numerous examples of good practice identified in this report show that there is also
a great deal that can be done with existing technology. It is clear that there is no single
technology that is ‘best’ for learning. We have identified technology being used effectively
to support a variety of learning activities and learners across a wide range of subjects and
learning environments. Rather, different technologies can be used to support different
forms of learning, either individually or in conjunction with others.
There is a growing body of invaluable evidence that demonstrates how technology can
be used effectively to support learning. However, if that evidence is going to be useful in
practice it needs to address the contexts within which the technology is used; and it needs
to be presented in ways that are accessible to industry, teachers and learners.
We found clear potential to make better use of technologies that are widely available and
that many schools have already purchased. But this potential will only be realised through
innovative teaching practice. Teachers may require additional training that enables them to
use technologies in new ways.
There is enormous potential for further innovation in digital education. Success will come
from commercial developers, researchers, teachers and learners working together to
develop, test and spread imaginative new technologies.
We also found many areas of promise; that is, areas where technology is currently
undervalued and underused. We found relatively little technological innovation in some of
the more effective learning themes we considered in Chapter 2. For example, the market
is saturated with drill and practice games (particularly for maths) to support Learning
through Practising despite being regarded as one of the less powerful learning themes.
Meanwhile, there has been relatively little technological innovation aimed at supporting
Learning through Assessment – which can be a powerful aid to teaching and learning.
Over recent decades, many efforts to realise the potential of digital technology in
education have made two key errors. Collectively, they have put the technology above
teaching and excitement above evidence. This means they have spent more time, effort
and money looking to find the digital silver bullet that will transform learning than they
have into evolving teaching practice to make the most of technology. If we are to make
progress we need to clarify the nature of the goal we want to satisfy through future
innovation. Much existing teaching practice may well not benefit greatly from new
technologies. As we continue to develop our understanding of technology’s proof, potential
and promise, we have an unprecedented opportunity to improve learning experiences in
the classroom and beyond.
MOOCs: influencing what the student does to learn
Small changes to ending made 5/1/2013.
Mark Guzdial's excellent Computing Education blog has an interesting, growing and already long discussion thread about MOOCs (of the "x" rather than "c" variety) and what they do or do not do, and about the extent to which they can substitute for or embody (good) teaching - prompted by Mark's own forceful MOOCs are a fundamental misperception of how teaching works.
My immediate reaction to reading Mark's post (before the comments began to flow) was to look once more at CMU's Learning/Teaching Principles where Nobel Prize winner Herbert Simon's axiomatic
takes pride of place.
The key question for me is whether it is or will be possible to build MOOCs to influence "what the student does to learn" as or more productively overall than in a well run, reasonably but not lavishly resourced face-to-face course.
These are early days. My instinct and experience tells me that it is premature to assert now that it is not or (more importantly) will not be possible. The challenge, surely, is to put a effort into:
This excerpt from Blake Morrison's fictional memoir The Justification of Johann Gutenberg (taken from this review: I've not read the book) struck me as apt:
From a MOOC learner's point of view things are already nothing like this bad. In fact, for many MOOC learners, things are already pretty good.
Posted on 04/01/2013 in Moocs, News and comment, Resources | Permalink | Comments (0)
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