Developmental and Implementation Challenges of E-Learning Management Systems in Higher Education
Notice bibliographique
Résumé
<p>The competition that exists today in the labour market has significantly raised the value of knowledge, skills and experience of staff. This particular importance for the modern professional acquire fluency in its modern information technology and the ability to continuously improve the skills. The actual trend is also for university teachers. Getting new knowledge and skills practically useful and applicable in daily teaching activities, in the era of information society significantly expands opportunities for self-realization and contributions to career growth. However, in implementing the model of continuous training of teachers for careers there are some significant obstacles. One of them, given the intense schedule of the educational process in terms of academic mobility is the lack of time. Another the geographical factor. With the location of the university in another city, its visit is inconvenient and expensive. Experience of universities of many countries shows that an effective tool to overcome these obstacles is distance learning, which allows to get all necessary knowledge at any time and in any place. The identity of urgency takes in terms of academic mobility when students andteachers work in another country. The paper proposes a methodological approach that takes into account these features. The paper deals with the structuring of project management programs of academic mobility. The features of these projects show their impact on the progress and results of the implementation. It is shown that traditional approaches to solving the problems of academic mobility management applications to integrate the process of setting objectives and planning projects. But due to the complexity of academic mobility programs to solve these problems effectively without decomposing it into components can be managed quite difficult. Therefore, the main idea of this paper is that an increasing the efficiency of the university on the basis of a possible application of rational structuring of academic mobility programs. The features of these projects shows their impact on the progress and results of their implementation and the ways of construction of project management distance learning systems.</p><p>The paper presents the analyse of thestructure of scientific and methodological basis of project management systems. In this structure are identified two parts: creation tool to identify knowledge users and how they change, and the creation of information tools effect on these people. The model determines the effect of academic mobility project management tools through knowledge of business administration at the progress of the educational projects.</p>
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».