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charge of a tra<strong>in</strong><strong>in</strong>g <strong>in</strong>stitute, we have been led to dist<strong>in</strong>guish three spaces to design a course : the <strong>in</strong><strong>format</strong>ion<br />

space, the action space, the communication space.<br />

In the next section we describe the features of each space, then we study how each space has to match with the<br />

other two to make a coherent global system. We exam<strong>in</strong>e these parts <strong>in</strong> reference to a model of educational<br />

situations and learn<strong>in</strong>g activities [Derycke and Kaye 1993]. Accord<strong>in</strong>g this model, a situation is seen from<br />

different viewpo<strong>in</strong>ts (cognitive, organisational, communicational, technical). In particular, the organisational<br />

po<strong>in</strong>t of view identifies the agents, the roles, the relationships and the resources.<br />

The In<strong>format</strong>ion Space<br />

Accord<strong>in</strong>g to the cognitive po<strong>in</strong>t of view, the factual and conceptual knowledge takes place <strong>in</strong> the <strong>in</strong><strong>format</strong>ion<br />

space. In our course, they are <strong>in</strong>troduced from a pseudo-real situation (to <strong>in</strong>troduce the derivation-<strong>in</strong>tegration<br />

concept, the situation is represented by the measures of distance and speed of a car depend<strong>in</strong>g on time).<br />

In<strong>format</strong>ion about a concept does not progress l<strong>in</strong>early and is not static : therefore <strong>in</strong><strong>format</strong>ion is given through<br />

on-l<strong>in</strong>e browsers <strong>in</strong> a hypermedia mode which may be reached by us<strong>in</strong>g languages such as Java or HM-Card<br />

[Andrews et al. 1995a] to <strong>in</strong>clude a dynamic aspect for animation.<br />

Interactions are forecasted to <strong>in</strong>volve the user. The aim of these <strong>in</strong>teractions is to ma<strong>in</strong>ta<strong>in</strong> the attention of the<br />

user to help them understand by ask<strong>in</strong>g for some details or verification. The user has to rema<strong>in</strong> active. The<br />

actions of the user can be characterised by the verbs : to read, to listen to, to look at, to navigate, to answer, to<br />

re-do.<br />

By navigat<strong>in</strong>g from anchor to anchor, a learner may loose him/herself <strong>in</strong> the <strong>in</strong><strong>format</strong>ion space. Like any<br />

learn<strong>in</strong>g activity, the <strong>in</strong><strong>format</strong>ion space should be strongly structured and a learner must know at all times<br />

where they are <strong>in</strong> this global structure. This is possible by us<strong>in</strong>g a server like Hyper-G [Andrews et al. 1995].<br />

We need to provide the learner with an automatically updated map to show the path along which they have<br />

travelled. With this higher <strong>in</strong>teractivity level, will be the possibility for each leaner to <strong>in</strong>fluence the <strong>in</strong><strong>format</strong>ion<br />

by annotat<strong>in</strong>g or creat<strong>in</strong>g new l<strong>in</strong>ks to personalise their space. To achieve his/her learn<strong>in</strong>g objectives, a selfstudy<strong>in</strong>g<br />

learner has to be able, from the <strong>in</strong><strong>format</strong>ion and his <strong>in</strong>teractions, to create his/her own learn<strong>in</strong>g<br />

activities.<br />

The Action Space<br />

Accord<strong>in</strong>g to the cognitive po<strong>in</strong>t of view, the procedural and strategic knowledge takes place <strong>in</strong> the action<br />

space. It is also the space of some meta-knowledge, which is closely l<strong>in</strong>ked to the self-assessment.<br />

We can dist<strong>in</strong>guish two k<strong>in</strong>ds of activities proposed <strong>in</strong> this space : those l<strong>in</strong>ked to the content and those about<br />

self organisation of learn<strong>in</strong>g. They need different tools to be achieved. The activities l<strong>in</strong>ked to content are :<br />

solv<strong>in</strong>g problems (e.g. an optimisation problem) ; tra<strong>in</strong><strong>in</strong>g exercises (e.g. draw<strong>in</strong>g a variation table from a<br />

graph) ; specifics activities on didactic software (e.g. f<strong>in</strong>d<strong>in</strong>g symmetries, translation, etc. which transform a<br />

curve <strong>in</strong>to another one) ; and free activities which the learner should <strong>in</strong>itialise by themselves.<br />

They need to use standard office automation software available on the local station , specific files for standard<br />

software sent by the server or selected from the <strong>in</strong><strong>format</strong>ion space, transferred packages (an environment<br />

composed of software and files which provide the learner with tools, help and results which are useful <strong>in</strong><br />

resolv<strong>in</strong>g a problem and controll<strong>in</strong>g their work) and transferred didactic software l<strong>in</strong>ked to a specific objective<br />

of learn<strong>in</strong>g.<br />

To organise their own tra<strong>in</strong><strong>in</strong>g, a learner has to capitalise their work and knowledge by obta<strong>in</strong><strong>in</strong>g the results of<br />

their activities <strong>in</strong> the action space. Then they can test their skills and readjust their learn<strong>in</strong>g path. Therefore the

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