The future of learning: From eLearning to mLearning
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Notice bibliographique
Résumé
This e-book is a report of a study, which is supported by the European Union Leonardo da Vinci programme, about the potential of wireless technologies for teaching/learning at a distance.Despite its focus on the wireless e-learning scenario in Europe, this report does bring to the fore the pedagogic feasibility of using wireless technologies in distance teaching/learning contexts beyond Europe.Of the 10 chapters that form this report, the first three attempt to provide theoretical scaffolding to the discussion of mobile learning in Chapter 4. Chapters 5 to 8 contain a compendious account and a tenuous analysis of four wireless devices used for creating mobile learning contexts.Chapter 9 describes student perceptions of and experience with mobile learning.Building on the foregoing discussion, Chapter 10 urges Europe to take up the leadership role, because it forecasts the inevitability of adapting to mobile learning environments, consequent on the growth of wireless technologies and, indeed, a wireless future.This 172-page report defines distance learning ("d-learning") as essentially learning through print, e-learning as electronic learning in wired environments, and m-learning as wireless elearning.This report also claims "to provide an analytical and theoretical background to the field of education and training provision known as mobile learning...[a] provision of education and training courses on wireless devices... [and] sees the provision of education at a distance as a continuum and traces an evolution from d-learning (distance learning) to e-learning (electronic learning) to m-learning (mobile learning) . .." (p. 6).Chapter 1 (p.8 -17), 'The future of learning,' describes the close nexus between technologies and educational environments, and in that context outlines how industrial and electronic revolutions have paved the way for traditional distance education, the mainstays of which is the print medium and electronic learning (e-learning), respectively.This Chapter describes how the evolution of mobile technologies "will change the distance student from a citizen who chooses not to go to college, to a person who not only chooses not to go to college, but is moving at a distance from the college" (p.11).The emerging challenge, as a consequence, is to build appropriate learning systems for "wireless computing and telephony" in the same way "as eLearning has provided for wired computing and telephony" (p.16).Chapter 2 (p.18 -30) entitled 'From d-Learning to e-Learning' describes distance education, and discusses its two forms and traces its history.The author uses the expression "d-Learning" to refer to both distance learning (p.18) and teaching at a distance (p.19).He then makes a
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,008 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 découle