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 use of Mixed Methods (MM) in evaluation has increasingly become a valuable asset in evaluators' methodological toolbox. Despite prolific research on various aspects of mixed methods, from typologies to ontological debates, there remains a dearth of empirically derived evidence on effectively communicating MM findings. This lack of empirical…

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…

Assessment and evaluation are crucial to improving educational quality. Examining the opinions of teachers from various countries on in-class assessments can significantly enhance education systems. Similarities and differences in Uganda's and Turkey's educational systems justify comparing them. This study aimed to examine and compare the…

This report characterizes forms of dialogic support that a sixth-grade teacher generated during whole-class and small-group conversations to help students develop a practice of statistical modeling. During four weeks of instruction, students constructed and revised models to account for variability and uncertainty across a variety of random…

A necessary step in applying bi-factor models is to evaluate the need for domain factors with a general factor in place. The conventional null hypothesis testing (NHT) was commonly used for such a purpose. However, the conventional NHT meets challenges when the domain loadings are weak or the sample size is insufficient. This article proposes…

This study explored the relationship between K-8 teachers' current usage and engagement of curriculum and instructional practices, assessment practices, and feedback practices through the implementation of standards-based grading practices. The theoretical works of Bobbitt (1924), Bloom (1956), and Sadler (1989) framed this study. A digital survey…

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…