The global popularity of the students-as-partners (SaP) model in the higher education sector demonstrates that students, through their lived experiences, have valuable perspectives to contribute to shaping university curricular and co-curricular experiences. While there are numerous inherent benefits associated with facilitating SaP arrangements,…

Human raters' assessment of interpreting is a complex process. Previous researchers have mainly relied on verbal reports to examine this process. To advance our understanding, we conducted an empirical study, collecting raters' eye-movement and retrospection data in a computerised interpreting assessment in which three groups of raters (n = 35)…

Advanced learning technologies have become a focal point in recent educational research, holding the promise of enhancing students' self-regulated learning (SRL) by facilitating various processes of planning, monitoring, performing, and reflecting upon learning experiences. However, concerns have arisen regarding the efficacy and design of…

Special Education teachers are often held to the same accountability standards as general education standards when it comes to effective teaching. This can cause frustration and disconnect between professionals and their job description. A set of research-based, high-leverage practices has been developed to provide special education teachers with…

This article examines faculty motivation to integrate community engagement (CE) into teaching and research, in relation to faculty identity, rank and status, experience, and faith. Building upon previous research that focused on intrinsic and extrinsic motivators, our study also examined the role of an institutional definition of CE with clear…

Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimensional item response theory (MIRT) provides a unified framework and convenient statistical tool for item analysis, calibration, and scoring. However, the computational…

The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…

Although generative AI (GenAI), for the most part, has been widely adopted in all facets of modern life, the international teaching community has increasingly voiced concerns about it. This study set out to unfold teachers' reactions to the manipulation of ChatGPT in foreign language education. It is situated in a networked context with…

In the rapidly evolving language education landscape, integrating innovative pedagogical approaches is essential to meet the diverse needs of learners. This study explores the efficacy of a Micro-Learning Media with Station Rotation Blended Learning Model (MLM-SRM) in enhancing the Japanese communication skills--specifically speaking, listening,…

This study explores machine learning (ML) for assessing elementary students' scientific argumentation skills, addressing the inefficiency of traditional teacher-based evaluations. We developed tailored test questions and scoring rubrics, collecting data from sixth-graders in China. Four shallow learning algorithms (Polynomial Naive Bayes, k-NN,…

There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

Background/purpose: This study presents the findings of an initial investigation into developing a Computational Thinking-Enhanced Assessment Tool (CTe-AT) based on computational thinking principles. Materials/methods: We conducted comprehensive interviews with 10 lecturers and another 10 students to gain a deeper insight into educators' and…

This study investigated the role of ChatGPT4o as an AI peer assessor in English-as-a-foreign-language (EFL) speaking classrooms, with a focus on its scoring reliability and the effectiveness of its feedback. The research involved 40 first-year English major students from two parallel classes at a Chinese university. Twenty from one class served as…

Recent studies on argumentative writing prioritize linguistic and textual features over structural or content aspects, and students' development in argumentation skills has received little attention. This longitudinal study examined EFL students' development in argumentative writing, including the overall writing quality, argument structure, and…