Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing…

This study investigates the impact of Social-Emotional Learning (SEL) on the mental health and well-being of students at Henan University. Amid China's exam-oriented educational landscape, students often face significant psychological challenges due to academic pressure and limited emotional support. This research aims to (1) examine demographic…

Purpose: This study aims to closely examine principals' emotional well-being (EWB) and its enhancement and risk factors in the context of British Columbia (BC), Canada. Design/methodology/approach: This exploratory study is based on an online survey from a previous research that garnered information from public school principals in BC, Canada…

Incorporating Vygotsky's concepts of scaffolding and Zone of Proximal Development, this paper presents a qualitative study examining student roles in dialogic peer feedback learning, focusing on Chinese English-as-a-foreign-language (EFL) students in mixed translation proficiency triads within an English-Chinese translation course. During feedback…

This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners' writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback…

This research investigates the correlation between online self-regulation (OSR) and in class co-regulation (CR) within a flipped EFL (English as a Foreign Language) writing classroom. Employing a mixed methods approach, the study amalgamates descriptive and correlational quantitative data with qualitative interview data. Participants consisted of…

Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…

This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…

Purpose: The present study aimed to validate the Indonesian-language version of the psychological capital questionnaire (PCQ), specifically within the context of higher education, by utilising Rasch analysis to evaluate the reliability and validity aspect such as item-fit statistics, rating scale function, and differential item functioning of the…

In response to the persistent challenges students face in mastering complex scientific concepts, innovative instructional approaches are needed to improve learning outcomes and engagement. Thus, this study presents the newly designed 6Ps-based instructional model aimed at enhancing organic chemistry education through a multimedia-supported flipped…

AI revolutionizes education and transforms learning strategies catered to students' personal needs. Through adaptive learning algorithms and intelligent tutoring systems, AI enhances the educational experience by customizing content and increasing the speed at which each student can learn based on their individual strengths and challenges. This…

As international students increasingly pursue higher education in English-dominant countries, developing their academic writing skills is crucial. However, limited access to individualized feedback remains a challenge. AI-driven tools and self-assessment offer promising solutions, making feedback more accessible. This study involved 50…

This study examined the psychometric quality of multiple-choice questions generated by two AI tools, ChatGPT and DeepSeek, within the context of an undergraduate Educational Measurement and Evaluation course. Guided by ten learning outcomes (LOs) aligned with Bloom's Taxonomy, each tool was prompted to generate one five-option multiple-choice item…

The accurate assessment of analytical thinking in physics, particularly in magnetism, poses substantial challenges due to the limitations of conventional tools in measuring higher-order cognitive skills. This study aimed to validate an analytical skills test in physics, based on Bloom's Revised Taxonomy, with an emphasis on the dimensions of…

The Skills Imperative 2035 is a five-year strategic research programme, funded by the Nuffield Foundation, which is investigating future skills needs, skills supply and skill development, with a particular focus on the 'Essential Employment Skills' (EES) that are projected to be most vital across the labour market in 2035. The focus in this stage…