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Mapping Mindset about Gamification: Teaching Learning Perspective in UAE Education System and Indian Education System
Revue d'Intelligence Artificielle ; 37(1):47-52, 2023.
Artículo en Francés | ProQuest Central | ID: covidwho-2292260
ABSTRACT
One can observe the dramatic change in the ongoing global pandemic impacts, and the speed of advancement in the educational learning system, particularly in virtual teaching learning process, has been extremely quick. Teachers' use of technology to deliver instruction to students via a variety of platforms has a significant impact on how well those students learn. A variety of factors influence how well students learn and how well teachers teach, including how well they use the most effective teaching technique. Teachers' and students' perspectives on instructional strategies should take precedence. Empirical study will be undertaken to demonstrate that there are tactics and approaches, such as Gamification, that teachers may use to improve their teaching. The proposed study looked into teachers' reported usage and implementation of these instructional tactics in their classrooms in different schools in the United Arab Emirates (UAE) & India. The parents also adopted the strategies for digital transformation of their children. Participants in the research included teachers from schools in the United Arab Emirates and India. Motivation is to find and reveal that teachers are employing ICT approaches such as Gamification and are also extremely aware of and comfortable with new teaching methodologies. Other findings show that teachers in both countries agree on the necessity of using digital tools to improve the learning outcomes of their students.
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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: ProQuest Central Idioma: Francés Revista: Revue d'Intelligence Artificielle Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: ProQuest Central Idioma: Francés Revista: Revue d'Intelligence Artificielle Año: 2023 Tipo del documento: Artículo