From Perspective to Practice: Gauging the Awareness and Integration Level of ICT in Teaching Process at Secondary Level in District Shaheed Benazirabad, Pakistan
Notice bibliographique
Résumé
Pakistan, in the last 10 years, has witnessed a fast and deep penetration of computers, internet, and android cell phones in the everyday lives of the teachers. The education process has yet to enjoy the full benefits of this technology despite the implementation of 3g/4g technologies and a surge of android cell phones. Therefore, teachers being an integral and vital part of the education process need to be well aware of the importance and should be trained at incorporating ICT in their daily teaching processes. This survey-based descriptive study gauged the familiarity of High School Teachers with ICT and its level of incorporation in the teaching process at the secondary level. The population of this study was 617 (N=617) High School Teachers belonging to 61 secondary schools of the district. About 245 teachers who participated in this study were randomly selected from 24 secondary schools. A self-developed questionnaire was distributed to these teachers. All the questionnaires were filled and returned. About 8 of these questionnaires were incomplete and therefore were deemed unusable. Therefore, only 237 questionnaires were used for data analysis. The findings of this study indicated that only 15% of the participants knew about ICT and its uses in the teaching process. Internet browsing, e-mailing and operating a CD Rom device as well-known aspects and simulations, problem-solving software, and graphics were some of the ICT aspects which the participants appeared to be familiar with. Findings about the level of incorporation in the teaching process revealed that computer labs were available in about 15% of the schools; about 55% of the participants owned android cell phones; 45% had self-access to the internet and these android phones were mostly used for communication with other teachers and parents. About 2% used ICT for teaching specific subjects; out of the 2% that used ICT for teaching, only 0.5 % used it as an essential part of daily instruction. The results also show that 0.25% of participants were formally trained in ICT. ICT was mostly used for finding and accessing and downloading educational materials. Less frequently used of ICT included making lectures, drills, and practice, preparing lesson plans, and video lecturing.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».