Knowledge tracing (KT), the task of tracking the knowledge state of each student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines Item Response Theory (IRT) with a deep learning model, provides superior performance. It can express the abilities of each student…

Food routines play a special role in Latino families. Using a cluster randomized trial with 248 children (M age = 67 months) from 13 schools, this study investigated the impact of a four-week family program designed to capitalize on food routines in improving Latino kindergarteners' outcomes in the U.S. There were moderate-to-large impacts on…

The spread of misinformation has underscored the importance of cultivating citizens' competency to critically evaluate popular accounts of scientific evidence. Extending the prevailing emphasis on evidence in the natural sciences, we argue for fostering students' understanding of psychological evidence and its communication in the media. In this…

This study aimed at exploring kindergarten teachers' perceptions and usage of digital devices in their classrooms. A multiple case study (n = 4) was conducted to investigate how in-service experienced (n = 22) and novice (n = 24) kindergarten teachers interpreted the functional significance of digital devices, including the needs and challenges…

Much of the literature on research-oriented teaching relies on the impressions of instructors who have experimented with such practices. Often authors are enthusiastic. This article shifts the focus to assess student satisfaction with such methods. We hypothesize that a student preference for research-based learning in Political Science would grow…

This article examines a culturally sustaining approach to learning about and enacting multimodal literacy instruction that was developed during a field-based reading methods course for elementary preservice teachers. Despite a large body of work exploring preservice teachers' learning about multimodal literacies, few studies have explored their…

The main goal of this paper is to suggest a combination of data analyses -- notably generalized additive models, time-series clustering methodology, visual methods for significance testing and qualitative analyses -- that relate to Complex Dynamic Systems Theory (CDST). To this end, we report on findings from a larger project conducted in a…

This chapter draws upon duoethnographic methodology to invite readers into conversation about the complexity and importance of centering positionality in the Scholarship of Teaching and Learning (SoTL). We suggest that self-reflection towards positional awareness fosters ethically rooted, authentic SoTL practice, and offer related considerations…

The book provides an entry point for graduate students and other scholars interested in using the constructs of Piaget's genetic epistemology in mathematics education research. Constructs comprising genetic epistemology form the basis for some of the most well-developed theoretical frameworks available for characterizing learning, particularly in…

Although the educational intentions of content and language integrated learning (CLIL) seem to be perspicuous, how to put them into practice in different subjects is not so clear-cut. In addition, critical voices within the physical education (PE) arena claim that CLIL may jeopardise the subject. Therefore, CLIL needs to be adjusted in order to…

In this paper, we report on an international collaborative project designed to address the professional development needs of Vietnamese teachers for the implementation of Content and Language Integrated Learning (CLIL). We collected data on a group of CLIL Vietnamese teachers and leaders through online interviews. Drawing on Cultural-Historical…

The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…

Despite the substantial expansion in vocabulary research since the 1980s, we still know very little about how vocabulary develops over time and what factors influence this development. This methodological overview discusses key issues and considerations in vocabulary breadth growth assessment to help advance research in this area. The report…

This study aims to develop a predictive model for predicting gifted students' engagement levels and to investigate the features that are important in such predictions. Features reflecting students' emotions, social-emotional learning skills, learning approaches and video-watching behaviours were used in the prediction models. The study group…

The role of top-down control in divergent creativity remains heavily debated. An outstanding question about the state dynamics of creativity concerns acute shifts between heightened and lowered creative states. Particularly, do transitions between creative states incur a "switch cost" as observed in other domains of cognition? Prior…