Μαθαινω την Επαναληψη με while-do στο MIT App Inventor
METADATA PROVIDER   
 
LEARNING OBJECT PROVIDER  
 
DESCRIPTION
<p>&Tau;&omicron; &sigma;&epsilon;&nu;ά&rho;&iota;&omicron; &alpha;&upsilon;&tau;ό &sigma;&tau;&omicron;&chi;&epsilon;ύ&epsilon;&iota; &sigma;&tau;&eta; &delta;&iota;&delta;&alpha;&sigma;&kappa;&alpha;&lambda;ί&alpha; &tau;&eta;&sigmaf; &beta;&alpha;&sigma;&iota;&kappa;ή&sigmaf; &pi;&rho;&omicron;&gamma;&rho;&alpha;&mu;&mu;&alpha;&tau;&iota;&sigma;&tau;&iota;&kappa;ή&sigmaf; έ&nu;&nu;&omicron;&iota;&alpha;&sigmaf; &tau;&eta;&sigmaf; &epsilon;&pi;&alpha;&nu;ά&lambda;&eta;&psi;&eta;&sigmaf; (while-do) &mu;έ&sigma;&omega; &tau;&eta;&sigmaf; &delta;&eta;&mu;&iota;&omicron;&upsilon;&rho;&gamma;ί&alpha;&sigmaf; &mu;&iota;&alpha;&sigmaf; &alpha;&pi;&lambda;ή&sigmaf; &kappa;&alpha;&iota; &kappa;&alpha;&tau;&alpha;&nu;&omicron;&eta;&tau;ή&sigmaf; &epsilon;&phi;&alpha;&rho;&mu;&omicron;&gamma;ή&sigmaf; &sigma;&tau;&omicron; &pi;&epsilon;&rho;&iota;&beta;ά&lambda;&lambda;&omicron;&nu; &tau;&omicron;&upsilon; MIT App Inventor. &Omicron;&iota; &mu;&alpha;&theta;&eta;&tau;έ&sigmaf;, &sigma;&epsilon; &pi;&lambda;&alpha;ί&sigma;&iota;&omicron; &omicron;&mu;ά&delta;&omega;&nu;, &sigma;&chi;&epsilon;&delta;&iota;ά&zeta;&omicron;&upsilon;&nu; &kappa;&alpha;&iota; &upsilon;&lambda;&omicron;&pi;&omicron;&iota;&omicron;ύ&nu; &mu;&iota;&alpha; &epsilon;&phi;&alpha;&rho;&mu;&omicron;&gamma;ή &mu;&epsilon;&tau;&rho;&eta;&tau;ή, &mu;&epsilon; &tau;&eta;&nu; &alpha;&xi;&iota;&omicron;&pi;&omicron;ί&eta;&sigma;&eta; &tau;&eta;&sigmaf; &delta;&omicron;&mu;ή&sigmaf; &epsilon;&pi;&alpha;&nu;ά&lambda;&eta;&psi;&eta;&sigmaf; &gamma;&iota;&alpha; &nu;&alpha; &epsilon;&pi;&iota;&tau;ύ&chi;&omicron;&upsilon;&nu; &sigma;&upsilon;&gamma;&kappa;&epsilon;&kappa;&rho;&iota;&mu;έ&nu;&eta; &lambda;&epsilon;&iota;&tau;&omicron;&upsilon;&rho;&gamma;&iota;&kappa;ό&tau;&eta;&tau;&alpha;. &Eta; &beta;&iota;&omega;&mu;&alpha;&tau;&iota;&kappa;ή &pi;&rho;&omicron;&sigma;έ&gamma;&gamma;&iota;&sigma;&eta; &kappa;&alpha;&iota; &eta; &epsilon;&nu;&epsilon;&rho;&gamma;ό&sigmaf; &sigma;&upsilon;&mu;&mu;&epsilon;&tau;&omicron;&chi;ή &epsilon;&nu;&iota;&sigma;&chi;ύ&omicron;&upsilon;&nu; &tau;&eta; &kappa;&alpha;&tau;&alpha;&nu;ό&eta;&sigma;&eta; &tau;&omega;&nu; &epsilon;&nu;&nu;&omicron;&iota;ώ&nu; , &beta;&omicron;&eta;&theta;&omicron;&upsilon;&nu; &tau;&eta;&nu; &upsilon;&pi;&omicron;&lambda;&omicron;&gamma;&iota;&sigma;&tau;&iota;&kappa;ή &sigma;&kappa;έ&psi;&eta; .</p>


LEARNER CHARACTERISTICS
EDUCATIONAL CONTEXT
TYPICAL AGE RANGE
15 - 17
INTENDED END USER
TECHNICAL INFORMATION
METADATA PAGE URL
RESOURCE URL
ΑΝΑΓΝΩΡΙΣΤΙΚΟ
8585/554
ADDITIONAL INFORMATION
LEARNING OBJECT PROVIDER
Photodentro Learning Scenarios
METADATA PROVIDER
Photodentro Learning Scenarios
CLASSIFICATION
CONTRIBUTION
LEARNING OBJECT / METADATA LICENCING & PUBLISHING
publisher: ΙΤΥΕ
metadata publisher: ΙΤΥΕ
QUALITY SEALS  
LICENSE