Possible symptoms of intellectual disability (ID) include delayed physical development that becomes more pronounced as the disability progresses, delayed development of gross and fine motor skills, sensory perception problems, and difficulty grasping the integrity of objects. Although there is no cure or reversal, research has shown that extensive…

A value creation conceptual framework is used to analyse perceived value creation in intra-group assessment narratives of students in online team projects enrolled in Management courses. Emerging categorised themes organised under four domains including preparedness, contribution to productivity, respect for others, and flexibility, aligned with…

There is a general tension between the individualised nature of current assessment practices in higher education and a collaborative approach to learning. This results in many dilemmas for educators as they try to balance academic integrity concerns and student preferences with social or collaborative assessment practices, including peer…

Background: Pain recognition and assessment in individuals with profound intellectual disabilities are challenging. Exploring effective methods of addressing this is essential. This study aims to discover current nursing practice in this area of care as the first of a four-phased appreciative inquiry study, to inform further research and practice.…

Background: Sketching exists in many disciplines and varies in how it is assessed, making it challenging to define fundamental sketching skills and the characteristics of a high-quality sketch. For instructors to apply effective strategies for teaching and assessing engineering sketching, a clear summary of the constructs, metrics, and objectives…

While program- and institution-level learning assessment in higher education has received substantial attention, much less emphasis has been placed on the assessment of learning in noncredit continuing education in higher education institutions. Learning assessment is sparse in this area because these learning experiences may be shorter in…

This dissertation is prepared to explain the research conducted to study the extent of instruction that school psychology graduate students are receiving on strengths-based assessment in their training programs. Strengths-based assessment is the process of intentionally measuring strengths rather than solely measuring deficits. The positive…

Special education assessment has a significant impact on the lives of children with disabilities and their families. However, traditional assessment practices have been critiqued as being deficit-based, overly focused on "labeling" students, and failing to provide a holistic understanding of the student. Assessment models such as…

The American Occupational Therapy Association's Fieldwork Performance Evaluation plays a vital role in occupational therapy education by guiding students and fieldwork educators in determining students' entry-level competence. This evaluation tool dates to 1953 and has undergone numerous revisions as the profession evolved and changes were made to…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

This research aimed to develop formative assessment rubrics for enhancing students' performance on Thai percussion instruments using the Many-Facet Rasch Measurement Partial Credit model (MFRM-PCM). Samples were high-school students playing four types of Thai instruments and the raters who were qualified and properly trained. The research…

This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…

Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violating these assumptions threatens an NMA's validity. In this article, we suggest a graphical approach to…

Information technology advancements have facilitated the widespread adoption of online education, providing learners with more flexible and convenient means of accessing educational resources and completing learning tasks. To improve the quality of online education and promote collaborative learning, online assessment is crucial in this…