A review of using digital game-based learning for preschoolers

Abstract

In recent years, the use of digital game-based learning (DGBL) in the early childhood learning process has been growing. Recent research shows that DGBL has the potential to create new forms of childhood learning, it is not yet clear how applications can affect young students' learning. There are also not sufficient studies to analyze the significant features of DGBL in this area in early childhood. Therefore, to better understand the impact on childhood DGBL education, this article reviews the systematic literature. This review analyzes 37 articles in this area. In this paper, PRISMA's principles analysis of studies on the characteristics of DGBL technology has been used. The classification focuses on four areas: the objectives of current studies, the impact of technology use on children's learning, learning theories, and assessment methods in DGBL applications. The results of this study show that the use of DGBL can have an active effect on strengthening thinking skills and learning in childhood. This article examines the evolution of this evolving technology, the challenges, and issues posed by DGBL, and discusses how it can be useful for younger students to learn and do more research. This study provides insight for researchers, game designers, and developers in the field of DGBL.

A Game-Based Learning Application to Help Learners to Practice Mathematical Patterns and Structures

“…In addition to these, Garcia and Mangaba (2017) stipulated in their study that GBL is often used for curricular knowledge. In addition to these, several studies have also pointed out that GBL, together with technology, can further support student learning in various areas (e.g., Behnamnia et al, 2022;Beşaltı & Kul, 2021;Bringula et al, 2018;Garcia, 2020;Godoy Jr., 2020). Other studies have also indicated that GBL with technology creates a positive effect on students as well as on achieving learning outcomes (Cahyana et al, 2017;Chao et al, 2018).…”

Performance of Image Recognition with Machine Vision: A Systematic Review

“…Las redes neuronales Artificiales (ANN) son una sucesión de capas que contienen un gran número de unidades interconectadas entre las llamadas neuronas [13]. Localidad espacial de los datos de entrada (SLID) es un método que permite la reducción de las operaciones de memoria y computación para lograr realizar un modelo más eficiente [14]. De la misma forma, Machine Learning (ML) es una rama de la inteligencia artificial que puede ser usada en múltiples tareas con el fin de predecir alguna información futura [15].…”

Game-based learning in early childhood education: a systematic review and meta-analysis

“…Similarly, a study by Craig et al (2016) found that a game-based program improved cooperation and reduced aggression in preschool children. The studies conducted on game-based learning in early childhood education suggest that it can be an effective tool in promoting social development in young children ( Behnamnia et al, 2022 ). Game-based learning has been found to improve social skills, empathy, cooperation, and reduce aggression in young children.…”