We show that learners generalized more broadly around the learned stimulus when they expected more variability between the learning set and the generalization set, as well as within the generalization set. Experiments 1 and 3 used a predictive learning task and demonstrated border perceptual generalization both when expected variability was…

Although identifying the referents of single words is often cited as a key challenge for getting word learning off the ground, it overlooks the fact that young learners consistently encounter words in the context of other words. How does this company help or hinder word learning? Prior investigations into early word learning from children's…

Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…

This study aims to examine the relationship among motivation for joining an educational leadership training programme (MOT), perceived skills (PS), and perceived changes in transformational leadership (PCTFL) in educational leadership training. The study drew on survey data from 761 participants who were associated with a leadership development…

This longitudinal study used data from the Busan Educational Longitudinal Study (BELS) to identify growth profiles of English class self-efficacy (ECS) over three years and their associations with English class comprehension, engagement, and achievement. A middle school student sample from 2016 to 2018 BELS comprised 3,038 students (1,394 females…

The effects of the direct and indirect relationships of personality traits on academic performance are shared in this paper. These complex relationships are examined using Structural Equation Modelling (SEM) with reference to the modified Biggs' 3P model. The major findings of the effects of personality traits on academic performance are (1) the…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

This study examined how informal Conversations in English (CIE) groups helped migrants gain cultural knowledge about communicating in the United States and how the CIE groups facilitated the process of language socialization. The Ethnography of Communication (EC) and Cultural Discourse Analysis (CuDA) were used to understand the connection between…

Flow is an optimal experience that has received particular attention in learning due to its potential association with enhanced learning achievement. However, the strength and direction of the putative flow-fulfillment relationship remain unclear. Therefore, a PRISMA-directed systematic review was conducted in 2022 to examine the empirical…

Teacher professional learning communities (PLCs) have the potential to result in teacher professional development, provided that effective communication takes place during PLC meetings. Building on the perspective of collaborative knowledge building, this study examined teachers' interaction patterns during these meetings. Connections were…

This study aims to determine the development and feasibility of biology magazine submaterial inheritance traits as a learning media for class IX junior high school. Engaging and effective learning media can increase students' understanding and interest in the material presented. The research method used is research and development (R&D) using…

This study delves into the correlation between the beliefs of five university mathematics teachers regarding the teaching of mathematics and their instructional practices. Adopting a case study methodology, this research aimed to thoroughly investigate this relationship. The collection of data was carried out through questionnaires, and the…

The study aims to probe the roles of learning desire and persistence in influencing Gen Z learners' continuance intention of using YouTube for learning in digital learning context. Building upon prior research, a research framework with 10 hypotheses was proposed and empirically tested by using Partial Least Squares Structure Equation Modelling…

The present study aims to inspect the interplay between language (Turkish) comprehension/learning (LCL) and mathematics comprehension/learning (MCL). We utilized a mixed-methods exploratory research design to understand the mechanism between LCL and MCL. First, we used an analytic rubric to score a researcher-developed achievement battery…

This study focuses on the different impacts of platform training and learning by doing on gig workers' platform income. Based on survey data of China's delivery riders on the platform in 2020, via quantitative methods combined with the case study, it is found that the platform training is negatively correlated with riders' incomes, while learning…