Nel rapporto sui big data che abbiamo pubblicato da poco al MIUR (http://hubmiur.pubblica.istruzione.it/web/ministero/cs280716bis )abbiamo citato espressamente il potenziale di utilizzare i dati derivanti dai learning environments per migliorare la didattica e, dove necessario, anticipare l'abbandono scolastico.
In tutto questo, la privacy è evidentemente una questione molto rilevante - soprattutto se si considera che i ragazzi iniziano oramai a imparare online sui vari edmodo o simili fin dalla primaria (e quindi si avrebbe una profilazione spinta dai 6 ai 24 anni).
La questione della riservatezza si fa ancora più rilevante, quando si pensa che gli ambienti di apprendimento online sono sempre più integrati con social, cloud e mille altre modernità.
Spunti su questo sono molto graditi.
A presto!
Donatella
pero' non e' un metodo molto diverso dal metodo bardi..
On 05/08/2016 17:44, J.C. DE MARTIN wrote:
> Grazie, David, conosco. Un'esperienza molto particolare,
> con un obiettivo molto "stretto" (insegnare a programmare)
> e specificamente pensata per studenti che, pur dotati,
> non rendono bene in sistemi educativi tradizionali.
>
> juan carlos
>
> On 05/08/16 17:41, David Orban wrote:
>> La scuola 42 a Parigi è tutta basata sul concetto di lavoro di gruppo
>> tra gli studenti, dove gli insegnanti sono di supporto. Tutto viene
>> gestito attraverso il tracking delle presenze e delle attività, in
>> questo caso di programmazione. I progetti, il codice, i contributi
>> vengono analizzati da sistemi automatici.
>>
>> http://www.42.fr/
>>
>>
>>
>> David Orban
>> "What is the question that I should be asking?"
>> twitter, linkedin, etc: davidorban
>>
>> On Fri, Aug 5, 2016 at 5:24 PM, J.C. DE MARTIN <demartin@polito.it
>> <mailto:demartin@polito.it>> wrote:
>>
>> *Universities are tracking their students. Is it clever or creepy?*
>>
>> /Learning analytics are becoming increasingly popular for
>> improving learning and cutting drop-out rates – but critics
>> question the impact on privacy/
>>
>> Chris Jutting
>>
>> Wednesday 3 August 2016 14.19 BST
>>
>> What could be more normal that heading to the university library,
>> swiping your card and logging in to a computer?
>>
>> Most students wouldn’t think twice about it. But what they may not
>> realise is that this mundane series of events leaves a unique data
>> pattern that can be recorded, logged and reviewed, in a practice
>> known as “learning analytics”. And now data analysts are using
>> this information to predict whether students will struggle with
>> their courses, or drop out.
>>
>> “We’re trying to use data to improve our understanding of how
>> students learn,” says Dr Bart Rienties, director of the learning
>> analytics programme at the Open University. “We want to understand
>> the story behind that data.”
>>
>> Such techniques look set to become an integral part of university
>> life in the future, much to the delight of advocates. “Learning
>> analytics can provide a more personal learning experience, rather
>> than a one-size-fits-all solution,” Rienties says. He was part of
>> a new study – which analysed data from more than 113,000 students
>> at the Open University – looking at drop-out rates and how usage
>> patterns of online learning resources can be an early indicator of
>> academic performance.
>>
>> […]
>>
>> Continua qui:
>> https://www.theguardian.com/higher-education-network/2016/aug/03/learning-analytics-universities-data-track-students
>> <https://www.theguardian.com/higher-education-network/2016/aug/03/learning-analytics-universities-data-track-students>
>>
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