The purpose of this study was to assess and describe the status of program evaluation within the National Science Foundation's (NSF) Research Experiences for Undergraduates (REU) sites. The National Science Foundation's REU program supports thousands of undergraduates annually in hands-on, immersive research experiences under the mentorship of…

Purpose: This paper aims to exemplify how Chen's idea of "Asia as method" can be employed in a case study on Korean experiences of modern schooling. Design/Approach/Methods: It does so by focusing on the author's personal experiences of modern schooling as both a student and a teacher in modern Korea. In this description, the author…

Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…

In parallel process latent growth curve mediation models, the mediation pathways from treatment to the intercept or slope of outcome through the intercept or slope of mediator are often of interest. In this study, we developed causal mediation analysis methods for these mediation pathways. Particularly, we provided causal definitions and…

This colloquium brings information about a second cycle of OECD's International Early Learning and Well-being Study (IELS) to the early childhood community, and offers a further critique of the approach to comparative research that the IELS embodies.

Early childhood teachers' emotions have increasingly received the attention of researchers in the past decades. The present study conducted a systematic review of the research on early childhood teachers' emotions published in English up to 2022. Based on evidence from 103 empirical studies, the results presented the significant roles of early…

Artificial intelligence (AI) is now a major driver of societal acceleration making a significant impact on science and science education. AI is used by scientists to generate hypotheses, design experiments, collect and interpret data in ways that were not previously possible with traditional methods alone. Science education research is…

Although big data applications in education have different usage areas, they can make important contributions to the evaluation of universities and education systems, decision-making and strategy development, and improvement of the education system. In this study, which is considered to contribute to the academicians who will work on big data in…

Purpose: The literature highlights the disconnection between university-based teacher education and field experiences as a significant barrier to student teacher preparation. To address this gap, the Research Teams (RTs) programme promotes a Networked Learning System (NLS), focusing on boundary-crossing work, inquiry and critical reflection to…

In this article, I provide the first publication thoroughly detailing how the theoretical foundation for the self-regulated strategy development (SRSD) instructional model was developed. I explain the development of the theoretical base for the SRSD model of instruction and the initial focus on writing instruction. I detail the reasoning and…

This note is concerned with the benefits that can result from the use of the maximal reliability and optimal linear combination concepts in educational and psychological research. Within the widely used framework of unidimensional multi-component measuring instruments, it is demonstrated that the linear combination of their components that…

In this article, I make the case for a methodological turn in the field based on the growing interest in a methodology-oriented RE. That is, the idea that we should make academic methods and methodology not just a part of, but part and parcel of the core of teaching about religion and worldviews in public education. This interest is found in…

The rapid development of artificial intelligence has driven the transformation of educational evaluation into big data-driven. This study used a systematic literature review method to analyzed 44 empirical research articles on the evaluation of big data education. Firstly, it has shown an increasing trend year by year, and is mainly published in…

PhD candidates, like all students, learn through engaging with feedback. However, there is limited understanding of how feedback strategies support doctoral candidates. This qualitative framework synthesis of 86 papers analysed rich qualitative data about feedback within PhD supervision. Our synthesis, informed by sociomateriality and a dialogic,…

The ability to interact or engage with the instructor, other students, and the content i.e., to experience online student engagement, is one main difference between traditional and digital media employed in teaching and learning processes. As literature on this topic in the Turkish context has proliferated, to date, virtually no systematic reviews…