IS CAL FULLY INTEGRATED INTO METEOROLOGY INSTRUCTION?

- IT IS RATHER NOT.



Prof. Andrey Belotsercovsky
State Hydrometeorological University of the Russian Federation
St. Petersburg
Russia

Email: ab@avb.usr.rshmi.spb.ru
Tel:     +(812)352-9233
Fax:     +(812)444-6090


 INTRODUCTION
 ADVANTAGES OF CAL AND DISTANT LEARNING
 WHAT IS BARRING CAL ADVANCE?
 WHAT TO DO?
 


INTRODUCTION

ADVANTAGES OF CAL AND DISTANT LEARNING

WHAT IS BARRING CAL ADVANCE?

WHAT TO  DO?

From the mathematical point of view, the problem of automated learning can be considered as the discrete control problem with the given final state Sk and set of admissible operations D , so that the operation dj ÎD implemented at i-th step steers the learner from one state to another. In this case, the time during which the learner achieves the definite knowledge should be minimal
T(Sk , D) = min T(s0, sk , dj)                                                (1)
where s0 - is the initial state of the learner (knowledge, skills), dj - is the operation of the j-th sequence, i – is the index of transition, i = 1,..., k,  j – is the index of admissible
sequence, j = 1,..., n.

It is apparent that this discrete optimization problem gives a clear answer to the question of what to do in order to overcome the above mentioned barriers.
 
    Those who can't see the immediate answer in the eq. (1) (the author is among them) might examine some of the following considerations.

In CAL development emphasize should be placed on

Organizational and financial measures