MétaCan
Menu
Retour à la cohorte
Enregistrement W1877636013

Elementary In-Service Teacher's Use of Computers in the Elementary Classroom

2003· article· en· W1877636013 sur OpenAlexaboutno aff
Janell D. Wilson, Charles C. Notar, Barbara D. Yunker

Notice bibliographique

RevueJournal of instructional psychology · 2003
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGender and Technology in Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMathematics educationCurriculumPsychologyElementary mathematicsWatsonPrimary educationPedagogyComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Continued advancements in technology have fundamentally changed the way we work and live. Today's educators have unlimited opportunities to more broadly apply our powerful technological tools and change the way students of all ages are learning. Yet, there continues to remain a consensus among business leaders, parents and educators that our current educational practices do not prepare students to thrive to our ever-changing technological society. The purpose of this study was to investigate and describe the use of computers in the classroom by elementary teachers and their students. Data was collected university pre-service teachers who were currently enrolled in a required education technology course. The results indicate that the responding elementary teachers reported only limited use of computers in their classrooms. The computer use that was employed by the teachers was primarily for desk organization with very little if any classroom instruction being addressed by computer technology. ********** Elementary, my dear Watson, Elementary! Unfortunately, this famous saying, attributed to Sherlock Holmes, does not reflect the use of technology by teachers in elementary level classrooms or by elementary pre-service teachers during their training. Frank (1990) follows Sherlock's dictum when he wrote that teachers tend to teach in the same way that they, themselves, were taught. This observation holds true today. The way our students in elementary level classrooms are being taught in the year 2003, has not changed significantly from 1990. Teachers are not yet integrating technology into the elementary school curriculum. In 1998, Halpin stated that the effective use of technology in the K-12 classroom has become the focal emphasis of schools. Yet a study by Jones in 2000 found no such focal emphasis in his sample of elementary schools. He found that student computer use during the teaching/learning process was only 3% on a daily basis, 29% used technology weekly, 38-45% reported using technology once during a two month period, and 20% did not use technology at all. Gibson and Hart (1997) reported the concerns of three elementary teachers involved in a computer technology project. They cited computer materials that did not closely match the required curriculum. They also cited lack of preparation and training, and inconsistent levels of success achieved by students and teachers as reasons not to use technology. However, Guha (2000) suggested elementary teachers want to be competent in the use of computers and see them as valuable in enhancing student learning but class load and time management were barriers to implementing computer-assisted instruction in the classroom. Quinn (1998) asked 28 pre-service elementary and 19 pre-service mathematics students to do a pre and post writing assignment on What are your current beliefs concerning the use of technological aids in the teaching of mathematics? Most pre-service respondents held favorable views regarding technology, but more than 75% had reservations about the use of technology in the mathematics classroom. Post writing produced no change from the writers opinion. In interviews, the pre-service teachers indicated they had received little exposure to technological aids during their own elementary and secondary mathematics education. Quinn's pre-service teachers had concerns that time was insufficient to teach concepts, available materials were lacking, and classroom management issues would impede their incorporation of technology into teaching mathematics. Brennan (1991) stated that comprehensive training and staff development increase integrating computer aided instruction (CAI) and student exposure to CAI in the classroom. Maeers, Browne, & Cooper (1999) described a program that provided a mandatory set of specific skills and concepts provided at different stages of the pre-service elementary program at the University of Regina(Saskatchewan). …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,060
Tête enseignante GPT0,369
Écart entre enseignants0,309 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations36
Publié2003
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueJournal of instructional psychologyMême sujetGender and Technology in EducationTravaux en français237 207