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Enregistrement W338397874

Does Integrating Technology-Based Attendance into Teacher Education Program Improve Student Achievement in Kuwait?

2011· article· en· W338397874 sur OpenAlex

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Notice bibliographique

RevueCollege student journal · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueOnline and Blended Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAttendanceTechnology integrationEducational technologyMedical educationPsychologyProfessional developmentMathematics educationPedagogyPolitical scienceMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This research addresses the benefits of integrating a technology-based attendance system based on classroom management techniques (CAMTs and CARs) in the teacher education program in Kuwait. Several areas of attendance research are described, such as the importance of using technology in developing systems-based research, and the development of a technology-based attendance-based program involving CAMTs and CARs, which includes basing the design of the technology-based attendance on three colors, stating procedural applications, and saving and closing procedures. Results indicated that use significantly improved student attendance and achievement in teacher education. Finally, several benefits of using an attendance system are addressed and recommendations are offered for instructors and administrators in teacher education, and for future research. Introduction Internationally, renewed interest in higher education has led most universities to implement the most up-to-date technologies. In recent years, a vast number of universities also have begun to make technological advances and systems implemented within educational services and resources available to students and teaching staff in educational programs, and to the community as well (Aksal, 2009; Ellis, 2006; Kuzu, 2009; McGill & Klobas, 2009; West, Waddoups, & Graham, 2007). Technology is an important tool, providing users with professional solutions and applications necessary to work on everyday educational issues (Firth, Lawrence, & Looney, 2008; Friedman, 2007; Kuzu, 2009). Technology is defined as how people modify the natural world to suit their own purposes--that is, everything people use to extend human abilities and satisfy human needs and wants in a certain manner (Henniger, 2004, p. 163). Technology can be designed and used in learning objectives, built from a collection of static content that helps users add and retrieve needed information according to any model of user-centric systems (Schatz, 2005). Technology use in university classrooms can have a great impact on higher education (Fitch, 2004). Johari and Bradshaw's (2008) study noted the importance of technology as a powerful motivator in enhancing learning through the use of several motivational techniques based on theories of leaning. Technology integration into university classes takes several forms and offers several benefits. Technological advances provide useful ways to facilitate and enhance teaching and learning in educational settings (Friedman, 2007; Ryba, Sleby, & Nolan, 1995; Sadik, 2008). In addition, technological advances and tools (i.e., computers, digital and datashow projectors, PeopleSoft, technological systems, Blackboard, and WebCT) have been implemented in higher education settings and used by administrators and instructors in teaching, learning, and monitoring student performance and progress. Furthermore, technology provides students opportunities to practice and experience related activities that support their learning (Sefton-Green, 2006). Firth, Lawrence, and Looney (2008) showed, for example, that students' interest in class attendance was enhanced through the use of technology in lectures and the offering of other classes on learning topics that involved technology practices. Other research (Finlay, Desmet, & Evans, 2004; Prensky, 2009; Shurville, Browne, & Whitaker, 2009) has emphasized the importance of incorporating current technological tools in the development of any modern educational system. In research by McGill and Kobas (2009) and Bulger, Mayer, Almeroth, and Blau (2008), the focus has been on the use of research-based results and technology to ensure significant and positive outcomes for student performance. Thus, findings from technology-based research can be used to assist administrators, professors, teaching staff, and students in higher education institutions to implement these developed research strategies effectively in teaching and learning, and thereby affect students' behaviors in classrooms. …

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 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)0,002
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,507
Score d'incertitude au seuil0,594

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 GPT0,357
Écart entre enseignants0,343 · 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