School belonging is crucial for students' identity development and academic motivation. It enhances educational success and predicts mental well-being, particularly during secondary school years. A supportive school environment is vital for fostering student engagement and overall development in early adolescence. This study culturally adapts the…

Autistic individuals often exhibit motor atypicalities, which may relate to difficulties in social communication. This study utilized a smart tablet activity to computationally characterize motor control by testing adherence to the two-thirds power law (2/3 PL), which captures a systematic covariation between velocity and curvature in motor…

Research evaluation (RE) has experienced a major global transformation prompted by the emergence and increasing usage of digital citation platforms such as the Web of Science and Scopus, opening up avenues for scientometric evaluation (SE). This relatively novel evaluation method represents an essential pillar for the scientific committees for…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…

Recent analyses of common public-speaking rubrics, grading practices, and course content have found widespread bias and inequities. This article contributes to the efforts to remedy some of the causes of these biases. It begins with a discussion of the disciplinary biases and institutional pressures that reinforce discriminatory assessment…

The upsurge of ICT media and hybrid modalities for learning that stemmed from the world health crisis seem to be destined to stay. In this new paradigm, self-assessment processes have acquired an even more relevant role in the teaching learning process than they already had. Due to the myriad of academic online resources and information at their…

In this study, two literacy teacher educators developed a lesson plan activity to be completed during a focus group interview. Protocols for the focus group were developed using the AI literacy framework. The purpose of the study was to explore preservice teachers' (PSTs) interactions with GenAI and how GenAI functioned as evaluators of their…

Assessment experiences of ethnic minority students in UK higher education present complex challenges in identifying salient barriers to inclusive practice. Ethnic minority students can be excluded by a range of factors which include the procedure, content and context of assessment. By analysing twelve narratives of British Pakistani male…

This research will analyze the issues encountered by two science teachers implementing Arduino-based robotic coding projects. This research employed a case study design. This research has used a criterion sampling group. This study used semi-structured observation, interviews, and video observations as data collection tools. The teachers conducted…

This study investigates the perspectives of 12 journal reviewers from diverse academic disciplines on using large language models (LLMs) in the peer review process. We identified key themes regarding integrating LLMs through qualitative data analysis of verbatim responses to an open-ended questionnaire. Reviewers noted that LLMs can automate tasks…

This qualitative study explores lecturers' perspectives on the role of artificial intelligence (AI) in personalised learning within higher education. The rapid proliferation of AI has introduced numerous ethical challenges, including the potential for academic dishonesty and misuse. One concern highlighted in this study is maintaining academic…

Purpose: This study explores the key determinants and their impact on the effectiveness of successful occupational competency assessments in Ethiopia. Design/methodology/approach: The study used a mixed-methods approach with a concurrent embedded design, collecting data from various stakeholders, including candidates, trainers, assessors,…

To meet student demand for responsive, adaptable, and up-to-date online courses, educators and learning designers need tools to analyse student interactions with their peers, educators and learning resources. Learning Management Systems (LMSs) store large volumes of detailed user data, but offer only limited, pre-set reports and visualizations to…

The "Individuals with Disabilities Education Act" (IDEA) requires state education agencies (SEAs) to establish a general supervision system for their local education agencies (LEAs), which includes making LEA determinations. In this resource, the IDEA Data Center (IDC) provides an overview of the annual LEA determinations requirements…