This paper focuses on the innovative combination of elements in social science methodologies, proposing a dimension-type framework to guide method combinations. It envisions a two-dimensional framework based on the classification of research nature and analytical techniques. Within this framework, commonly used methods in the social sciences, such as qualitative, quantitative, and case studies,…
Integrating reading and writing instruction with scientific inquiry can enhance student learning, yet the nature of the connections between each of these learning domains remain underexplored. In this systematic review, we analysed 16 interventions in elementary education in order to develop a categorization of the functions of reading and writing within scientific inquiry. Inductive analysis r…
Out-of-field teaching is a phenomenon faced by many countries worldwide, including Thailand. Because out-of-field teaching can alleviate the shortage of teachers qualified in certain subjects, such as mathematics and science, research has focused on facilitating in-service teachers to teach out of their fields to ensure students excel in these subjects. However, little effort has been made to p…
This empirical study investigates university teachers’ conceptions of the role of mathematics within science, technology, engineering, and mathematics (STEM) higher education disciplines, employing a phenomenographic approach to capture variation among perspectives of educators in chemistry, computer science, geoscience, and physics. Despite the significant reliance on mathematics across thes…
Research on learning analytics (LA) in various educational contexts is extensive, but research specifically on LA in immersive virtual learning environments (immersive VLEs) remains underexplored in terms of theoretical integration, methodological diversity, and multimodal data utilisation. This study reviews applications of learning analytics in immersive VLEs following the Preferred Reporting…
Current advances in academic research stem from two main sources: artificial intelligence technologies and the specific field of generative artificial intelligence. However, the ethical use of these technologies and their implications for academic integrity has not been sufficiently investigated. Therefore, this research examines the ethical use of artificial intelligence technologies and Gener…
This study aims to explore the contributions of artificial intelligence (AI) applications in museums to the accessibility, interaction, and experiential transformation of cultural heritage. AI accelerates digital transformation in museums, enhancing visitor experiences by making them more interactive and personalized, while also aiding in the preservation and dissemination of cultural heritage.…
Higher education institutions face increasing challenges in meeting the diverse needs of their student populations. While learning management systems (LMS) like Moodle have become ubiquitous in higher education, there remains limited understanding of how these platforms affect different student subpopulations. This study investigates the differential effects of Moodle course design elements on …
Smart learning environments (SLEs) utilize technological advancements to facilitate effective, engaging, and personalized learning experiences. They depend on sensors and advanced connectivity to gather information and make informed decisions. Multisensory Environments (MSEs) naturally align with and enhance the capabilities of SLEs offering new opportunities to enhance learning effectively, an…
As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). This study systematically analyzes the impact of generative AI tools and LLMs on language le…