Understanding prenatal alcohol exposure (PAE) risk perception is important for the communication and prevention of alcohol use during pregnancy. A previous systematic review has explored the dimensions and influencing factors of women's PAE risk perceptions, leading to the construction of Pregnancy Alcohol Use Risk Perception (PARP) conceptual…

Student agency is a key feature in feedback practices. Student feedback agency is generally defined as students' active engagement in the feedback process. Its conceptualisation has evolved from individualistic views, through unidirectional structure-agency perspectives, to more socially oriented approaches. However, this commentary argues that…

In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…

In this article, I advocate for an enriched view of children's linguistic input, with the aim of building sustainable and tangible links between theoretical models of language development and families' everyday experiences. Children's language experiences constrain theoretical models in ways that may illuminate universal learning biases. However,…

Student modeling is central to many educational technologies as it enables predicting future learning outcomes and designing targeted instructional strategies. However, open-ended learning domains pose challenges for accurately modeling students due to the diverse behaviors and a large space of possible misconceptions. To approach these…

This book seeks to understand how language teachers regulate and use their emotions to best serve themselves and their students. It furthers research in the field by providing an in-depth theoretical discussion of emotion regulation alongside a comprehensive exploration in Japan. The study at the heart of the book focuses on three important…

Introduction: Running speech sampling is an essential component of a paediatric voice evaluation, in that it should provide the examiner with a representative vocal sample of the child's everyday voice use outside of the clinic setting. Current speech sampling practices, consisting of reading tasks, informal conversation sampling and the voice…

In 2008, China's museums began to offer free admission, which led to an explosive growth in the number of visitors. As a result, more researchers are examining how to determine the learning experience of museum visitors, and improving it gradually will be the next direction for the development of Chinese museums. The Contextual Model of Learning…

When people encounter items that they believe will help them gain reward, they later remember them better than others. A recent model of emotional memory, the emotional context maintenance and retrieval model (eCMR), predicts that these effects would be stronger when stimuli that predict high and low reward can compete with each other during both…

We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…

This study examines the relationship between emotions experienced in Physical Education (PE) and their impact on resilience in physical-sport activities (PA-S) using the Transcontextual Model (TCM) applied to Achievement Emotion Theory (AET). The aim was to assess the consistency and emotional transfer between PE and PA-S, and how these emotions…

Predictive analytics are increasingly pervasive in higher education. However, algorithmic bias has the potential to reinforce racial inequities in postsecondary success. We provide a comprehensive and translational investigation of algorithmic bias in two separate prediction models--one predicting course completion, the second predicting degree…

Over 10 years of the new college entrance examination reform, the flexible subject selection model has posed challenges to Science, Technology, Engineering, and Math (STEM) majors education in Chinese universities. The relaxation of subject requirements has led to diverse knowledge backgrounds among students, resulting in some lacking a solid…

The present study seeks to revisit the concept of intertextuality as integrated into a sociocognitive discourse-analytical perspective, whereby intertextual meanings can be explicated via semantic macropropositions, mental representations, event models, and pragmatic context models. The study's significance derives from its scholarly endeavour to…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…