Information and communication technologies have transformed education, driving it towards intelligent teaching and learning. With the rise of generative artificial intelligence (AI), represented by tools such as ChatGPT, there is also a growing body of literature on generative AI in education. In this study, we searched the Scopus, ERIC, and Web…

This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…

The need to integrate digital literacy into curricula as a fundamental skill set for navigating the complexities of the digital age has increased. This study aims to explore how knowledge and skills of digital literacy present in language arts standards and what elements of digital literacy are emphasized. To achieve this, we used text mining…

Background and context: Coding and computational thinking are often taught through integrated curricula, despite a paucity of classroom-based research on their effectiveness. Objective: To investigate evidence of learning resulting from cross-curricular coding tasks in middle-school classrooms, and the school environment factors that impact upon…

We read with considerable interest the study by Gusenbauer and Haddaway (Gusenbauer and Haddaway, 2020, Research Synthesis Methods, doi:10.1002/jrsm.1378) comparing the systematic search qualities of 28 search systems, including Google Scholar (GS) and PubMed. Google Scholar and PubMed are the two most popular free academic search tools in biology…

It has been well documented in adults that compared to verbal learning, learning while the subject performs an action is far more effective. However, the results of previous studies involving children have not reached a consensus. The present study examined the action memory of 4- to 6-year-old children under various encoding conditions (i.e.,…

When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…

Digitalization has led to significant changes in reading like it does in almost every field. When traditional print reading is considered together with digital reading, it can be argued that digital reading differs from printed reading in many respects. Given the complex nature of reading, it is predictable that an in-depth examination of digital…

Special education is a natural yardstick to measure a country's educational level and the whole civilization. China has a massive special education undertaking that develops rapidly and forms a unique system. This study used bibliometric methods to conduct a macroscopic comparative analysis of Chinese and global literature, discuss the existing…

The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data…

Programming skills (PS) are indispensable abilities in the information age, but the current research on PS cultivation mainly focuses on the teaching methods and lacks the analysis of program features to explore the differences in learners' PS and guide programming learning. Therefore, the purpose of this study aims to explore horizontal…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…

Artificial intelligence (AI) is a defining technology of the 21st century, creating new opportunities for academic libraries. The goal of this paper is to provide a much-needed analysis, interpreted in an international context, on what the leaders of academic libraries in East-Central Europe, and specifically in Hungary, think about AI and its…

To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…