MétaCan
Menu
Retour à la cohorte
Enregistrement W2596624828

Editorial: Integration and use of mobile and other ICT to support learning

2016· editorial· en· W2596624828 sur OpenAlexaboutno aff
Stewart Marshall, Wal Taylor

Notice bibliographique

RevueThe International Journal of Education and Development using Information and Communication Technology (The University of the West Indies) · 2016
Typeeditorial
Langueen
DomaineComputer Science
ThématiqueICT in Developing Communities
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInformation and Communications TechnologyMobile phoneMobile technologyService (business)Information technologyPublic relationsPolitical scienceBusinessMobile deviceMarketingEngineeringComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Welcome to Volume 12 Issue 3 of the International Journal of Education and Development using and Communication Technology (IJEDICT). This issue brings articles from or about Burkina Faso, Caribbean, Canada, Hong Kong, India, Mali, Morocco, Norway, Pakistan, Philippines, South Africa, Switzerland, Tanzania, Uganda, and USA.The article Pre-service training and ICT implementation in the classroom: ELT teachers' by Hicham Zyad explores practicing teachers' perceptions of the approach adopted in their pre-service training programs with regard to educational technology. The thrust of the argument in the current study is that the way practicing teachers use educational technology is reflective of the inadequacy of the pre-service training programs that still insist on disentangling ICT from pedagogy and content. It was found that the integration of technology, pedagogy and content was left to the discretion of the teachers. This approach resulted in limited ICT implementation and inconsistent interpretations of how ICT can best be used in the classroom.In their article, Sousa, Nicolay and Home, evaluate Information technologies as a tool for agricultural extension and farmer-to-farmer exchange: Mobile-phone video use in Mali and Burkina Faso. The participating farmers reported that 3G phones are readily accessible: including to people who had previously had limited access to information sources, such as young women. Video based information is particularly advantageous to illiterate farmers, and has potential to transform the typically top-down nature of information flow from extension agents to farmers. The authors conclude that video on mobile phones has tremendous potential as a tool for agricultural extension and farmer-to-farmer exchange in developing countries.The results of the study Experiences, perceptions and attitudes on ICT integration: case study among novice and experienced language teachers in the Philippines by John Paul Obillos Dela Rosa revealed that whilst the experienced language teacher had more exposure to ICT use than the novice teacher, the latter makes use of more ICT-related materials and activities in her language class. The novice teacher calls for a more knowledgeable manipulation of technological devices and the experienced teacher views insufficiency of resources and services like limited Internet access as detrimental to effective ICT integration. On the other hand, both novice and experienced teachers had positive attitudes towards ICT integration in English Language Teaching and hoped that ICT use would later be strengthened in the Philippines.Many schools have adopted the Student Response System (SRS) with the purpose of increasing student engagement. However, there is very little research on mobile phone-based SRS using the Internet. In their article A cross-cohort exploratory study of a student perceptions on mobile phone-based student response system using a polling website, Adam Wong and Simon Wong report on their exploratory study to fill in this gap. In this study, 274 students, who were at different stages of study at a university, were taught using a mobile phone-based SRS and a polling web site. subsequent online survey based on the Technology Acceptance Model was conducted. It was found that the students showed high perceived usefulness and high perceived ease of use on the SRS, despite their differences in their stages of study. …

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.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,562
Score d'incertitude au seuil0,359

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,258
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe International Journal of Education and Development using Information and Communication Technology (The University of the West Indies)Même sujetICT in Developing CommunitiesTravaux en français237 207