The low-stakes character of international large-scale educational assessments implies that a participating student might at times provide unrelated answers as if s/he was not even reading the items and choosing a response option randomly throughout. Depending on the severity of this invalid response behavior, interpretations of the assessment…

There is much debate concerning students' evaluation of teaching and several academics discredit the validity and reliability of student comments. Student feedback would be a good source of information for academics to improve their teaching, while earlier studies indicate that the academics do not always make use of student feedback in their…

This qualitative case study investigated factors affecting EFL university students' use of teacher written feedback. Ten Yemeni EFL university students participated in this study. Data included students' written essays, teacher written feedback, and semi-structured interviews. Students' use of teacher written feedback was analysed using an adapted…

Emotional labour is an important part of teaching. Teaching self-efficacy and job dedication are important parameters that influence teaching. Mixed findings have been reported on the link between emotional labour, teaching self-efficacy, and job dedication. This study examined the pattern of emotional labour performed by early childhood teachers,…

Learning behavioural responses and adapting them based on feedback is crucial from a young age, continuing to develop into young adulthood. This study examines the development trajectory and contributing factors from childhood to adulthood using a reversal learning paradigm. We tested 202 participants aged 10 to 22 in an online study, where they…

Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…

This study aims to evaluate the integration of AI-supported ChatGPT into early childhood STEM education from the teachers' perspective. The study group comprised 18 teachers who had previously received training on the use of ChatGPT. A phenomenological approach was adopted within the qualitative research framework, utilising a semi-structured…

Background: Current clinical approaches to the treatment of spoken word-finding difficulties in acquired aphasia encourage multimodal cueing, especially the joint application of written and spoken forms. Research that exclusively examines the effects and mechanisms of written cues is limited, with most studies engaging written forms only as part…

Staff education has a significant impact on evidence-based practice and safe care. It is imperative for health professionals to be educated to deliver patient-centered care as members of an interdisciplinary team, emphasizing evidence-based practice, quality improvement approaches, and informatics. It is essential to employing evidence-based care.…

This article examines the transformative impact of generative artificial intelligence (GenAI) in enhancing feedback quality in a Bachelor of Science course. It the challenges of providing personalized, timely feedback to students in larger educational settings, focusing on the use of GenAI to analyze and respond to student logbooks. These logbooks…

Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection programs that are accessible to R programmers: Google Cloud Vision, Amazon Rekognition, and…

Feedback plays an indispensable role in pre-service teachers' microteaching practice. It provides essential information about their microteaching performance, which is of great significance in their reflection and improvement. As AI and teaching analytics advance, feedback is no longer exclusively human-generated. AI technologies are increasingly…

Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…

This paper uses a thematic narrative analysis approach to explore the experiences of individuals who support those living with literacy gaps in Australia. Themes of collective shame and responsibility surrounding adult literacy gaps, as well as the communicative expertise and critical reflexivity developed by supporters in their roles, are…

In scholarly research, racial categories are typically taken for granted. However, race categories vary over time and geography and reflect the social beliefs of the people who use them. Informed by quantitative critical race theory analysis, we interrogate how race categories align (or not) with 24,000 U.S. higher education students' responses to…