Effective communication skills are essential for success in both academic and professional contexts. This concept paper presents a novel framework designed to operationally define and support the development of assessments of communication skills with a specific emphasis on K-12 settings. Through discussions on important considerations for the…

Traditional assessment design focuses on outcomes and often disregards how students perceive their abilities, process emotions, or self-express. This indifference can undermine assessment outcomes and evaluation reliability (Hattie, 2023; Nilson, 2023; Reibel 2022). This paper introduces "empathetic assessment design" (EAD), a framework…

Example-generation tasks have been suggested as an effective way to both promote students' learning of mathematics and assess students' understanding of concepts. E-assessment offers the potential to use example-generation tasks with large groups of students, but there has been little research on this approach so far. Across two studies, we…

The concept of a free body diagram is central to Mechanical Engineering. Beyond its correct layout, a series of analysis concepts in the development of this skill allows one to visualise, understand, and analyse mechanisms and other complex applications. The correct assessment of the skill goes beyond the simple application of a test because it is…

Experiential learning, which emphasizes gaining new skills, knowledge, and perspectives through experiences, has become one of the most influential models for transforming students' learning and development in a variety of contexts from academic settings to workplace training programs. The current body of research on the assessment of experiential…

Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…

Learning to interpret data in context is an important educational outcome. To assess students' attainment of this outcome, it is necessary to examine the interplay between their contextual and statistical reasoning. We describe a research method designed to do so. The method draws upon Toulmin's (1958, 2003) model of argumentation for the first…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

The performance evaluation of e-learning in medical education has been the subject of much research lately. Researchers are yet to achieve a consensus on the definition of performance or the suitable constructs, metrics, models, and methods to help understand student performance. Through a systematic review, this study put forward a working…

[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] In recent years, physics instructional labs have been under considerable research and development. However, there seems to be no shared understanding of how the assessment of instructional labs should be arranged to best serve students'…

This article provides an overview of the unique model and comprehensive approach to tracking, enhancing, and assessing students' global learning outcomes at the University of Pittsburgh's University Center for International Studies (UCIS). In the conclusion, the authors provide a discussion of strengths and challenges of this model that will be…

The evaluation of student projects is a difficult task, especially when they involve both a technical and a creative component. We propose an artificial intelligence (AI)-based methodology to help in the evaluation of complex projects in engineering and computer science courses. This methodology is intended to evaluate the assessment process…

This research reports the implementation of an evaluation instrument of the slope concept in high school students. The design of this study was based on four dimensions: Skills, Properties, Uses and Representations (SPUR model; Thompson & Kaur, 2011) and on three conceptualizations: constant ratio, behavior indicator and trigonometric…

The purpose of this study was to conduct a program evaluation case study on the impact of standards-based grading in a North Carolina school district. The implementation procedures and end products of grading reform were assessed using the CIPP model. Data from teacher questionnaires, principal implementation checklists, interviews, and…