Background: Complexity theory (CT) has been used in response to the need for a different mindset than the classical engineering paradigm. The engineering education research (EER) community may benefit from the knowledge of how CT has been used in the field. Purpose: Aiming to provide a broad view of CT in EER, the following research questions…

Dominant approaches to research quality rest on the assumption that academic peers are the only relevant stakeholders in its assessment. In contrast, impact assessment frameworks recognize a large and heterogeneous set of actors as stakeholders. In transdisciplinary research non-academic stakeholders are actively involved in all phases of the…

This systematic literature review explores meaning(s) of a student perspective in mathematics education research by investigating the intentionalities of research texts that use a student perspective. The study views research texts as being produced in and influenced by the context and the discourses in which they are submerged. In exploring the…

Background: Cognitive load theory is widely used in educational research and instructional design, which relies heavily on conceptual constructs and measurement instruments of cognitive load. Due to its implicit nature, cognitive load is usually measured by other related instruments, such as commonly-used self-report scales of mental effort or…

Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

This article examines the concept and role of cosmopolitanism in studies that theorize cosmopolitan nationalism (CN) in educational policy. First, it articulates a spectrum of diverse views that can be held under the labels of cosmopolitan, nationalism, and patriotism. Next, it assesses how cosmopolitanism is invoked in educational policy studies…

The intersection of Artificial Intelligence (AI) and educational leadership has garnered significant attention in recent years due to advancements in knowledge technology and digital literacy. Despite growing interest from scholars and policymakers over the past decade, a comprehensive review of AI in the context of educational leadership and…

Data mining has been successfully and widely utilized in educational information systems, and an important research field has been formed, which is educational data mining. Process mining inherits the characteristics of data mining which can not only use historical data in the system to analyze learning behavior and predict academic performance,…

Evidence syntheses, such as systematic reviews, aim to summarise the current state of research in a field, often using the publication language of a study as a criterion for inclusion or exclusion. However, this has serious implications for capturing evidence from a wider range of geographical areas, and the potential for linguistic bias. In order…

This systematic review, conducted in accordance with PRISMA (2020) guidelines, analysed the consequences of gender stereotypes on language processing from 2012 to 2023. This review investigates the impact of stereotypical beliefs on the interpretation and understanding of language, including words, phrases, discourse, perceptions of professional…

This study presents a scientometric analysis of personalized learning research from 2020 to 2024. Using the Lens database, 4,463 scholarly articles were analyzed to identify key trends and patterns in this rapidly evolving field. The analysis revealed consistent publication growth over the 5 years, with journal articles dominating as the primary…

In this paper, I propose "A/autisms" as an organizing concept for considering the complex intersection of Autistic identity, autistic disability, and the contingency of the diagnosis "autism" in educational research. I draw from "Neuroqueer(ing) Noise"--my doctoral research-creation project in an integrated,…

This study systematically examines the evolution of personalized learning in education, focusing on the transformative potential of artificial intelligence (AI) in higher education. It aims to identify how AI addresses the barriers of traditional teacher-led and student-driven personalization methods, offering scalable and adaptive solutions to…

This article argues for embracing epistemological and methodological diversity in order to advance recent shifts in environmental education that call for alternative spaces for learning. The article narrates our fieldwork experiences of conducting creative research working with children aged 7-9 years old in two primary schools in England, while…

Understanding how institutional leadership influences research productivity is crucial for advancing higher education policy and practice, yet empirical evidence remains limited in non-Western contexts. Drawing on upper echelons theory and a longitudinal dataset spanning 20 years (2000-2019) of 392 presidential appointments across Chinese…