Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…

Though the relationship between mobile learning and academic achievement has increasingly gained attention by some researchers, the meta-analysis studies have yet to definitively conclude the overall impact of mobile learning on academic achievement. In order to synthesize the findings of 22 meta-analyses that are directly pertinent to the…

Concept maps have been verified as an effective learning tool in technology-supported learning environments, in particular, in K-12 education. To enable educational technology researchers and school teachers to thoroughly know the research foci and applications of concept maps in technology-supported learning environments for K-12 education…

Body movements are regarded as part of the learning process. With the evolution of motion-sensing technology (MST) (e.g., Kinect, Xtion Pro, and Leap Motion), educational researchers try to explore the effect of MST on learning. However, the effect of MST on learning performance is still unclear. This is the first meta-analysis that aims to…

Teaching and learning programming, and especially Object-Oriented Programming (OOP), is a complicated and challenging task. Students have to comprehend various OOP concepts and utilize them for designing object-oriented programs. Various types of educational programming environments, such as microworlds and educational games, have been devised for…

The use of generative artificial intelligence (Gen-AI) to assist college students in their studies has become a trend. However, there is no academic consensus on whether Gen-AI can enhance the academic achievement of college students. Using a meta-analytic approach, this study aims to investigate the effectiveness of Gen-AI in improving the…

In recent years, the technical possibilities of educational technologies regarding online peer feedback have developed rapidly. However, the impact of online peer feedback activities compared to traditional offline variants has not specifically been meta-analyzed. Therefore, the aim of the current meta-analysis is to do an in-depth comparison…

Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped with AI knowledge and concepts and develop AI literacy. Paradoxically, it is largely…

Children with Autism face several significant challenges, including deficits in both verbal and nonverbal communication, difficulties with concentration, limited interest in their surroundings, non-responsiveness, and struggles with adapting to new situations. It is imperative to consider and address these challenges when implementing…

With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall…

With growing interest in technology and its application within education, an increasing volume of research literature concerning the utilisation of technology in classroom dialogue has become available. To provide a comprehensive overview of the research area, this paper reports the results of topic-based bibliometric analysis of relevant articles…

Scholarly interest in artificial intelligence (AI) has surged as researchers delve into its transformative impact on various aspects of our lives. AI poses both benefits and challenges, particularly in the context of educators' endeavors to comprehend the intricacies of students' learning processes. Although the use of AI to enhance and assist…

Technology has become an integral part of teaching and learning, but there is still limited understanding of how it is utilized to support computing education in early childhood. To address this knowledge gap, this review investigated the current implementation of computing technologies in early childhood settings, the implementation of computing…

Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students' learning outcomes remains controversial. This study aimed to examine the impact of GenAI on the learning outcomes of K-12 and higher education students, and explore the moderating factors influencing this impact. A…

The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…