Educational Data Mining (EDM) is an interdisciplinary field that encapsulates different fields such as computer science, education, and statistics. It is crucial to make data mining in education to shape future trends in education for policymakers, researchers, and educators in terms of developments. To have an all-inclusive understanding of EDM…

Artificial Intelligence (AI) is transforming healthcare and shows considerable promise for the delivery of medical education. This systematic review provides a comprehensive analysis of the global situation, effects, and challenges associated with applying AI at the different stages of medical education. This review followed the PRISMA guidelines,…

The internet has changed marketing education and disrupted the traditional approach to teaching marketing. Digital marketing as a field of study is a dynamic discipline that requires educators to evaluate their curricula and teaching methods constantly. This research reviews the digital marketing education research over the past 25 years to gauge…

This study presents a corpus analysis of academic integrity policies from Higher Education Institutions (HEIs) worldwide, exploring how they address the issues posed by technological threats, such as Automated Paraphrasing Tools and generative-artificial intelligence tools, such as ChatGPT. The analysis of 142 policies conducted in November and…

Purpose: This study aims to evaluate the knowledge structure of knowledge management (KM) applications within small and medium enterprises (SMEs). In pursuit of excellence, SMEs must adopt KM like large corporations, even with limited resources. Design/methodology/approach: Through a bibliometric approach, this study evaluates current themes based…

Metadata are crucial for discovery and access by providing contextual, technical, and administrative information in a standard form. Yet metadata are also sites of tension between sociocultural representations, resource constraints, and standardized systems. Formal and informal interventions may be interpreted as quality issues, political acts to…

Still rebounding from the impact of the global pandemic, the higher education sector is being challenged even further by the next wave of Artificial Intelligence (AI) technologies. These technologies have the power to generate in a matter of seconds, quality text, images, music and coding responses to questions or prompts entered into an online…

Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…

Debates surrounding the use of data science in educational AI are frequently rather entrenched, revolving around commercial models and talk of teacher replacement. This article explores the potential for digital textual analysis within humanities and social science education, advocating for a sociologically-driven approach that complements, rather…

Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…

For decades, the field of educational technology (ed-tech) has been characterised by overoptimism and lofty promises that often fail to materialise. This research investigates the narrative claims or hype of ed-tech across diverse education contexts in seven Asian-Pacific countries. It uses a qualitative meta-analysis of research reports developed…