Learning progressions (LPs) are cognitive models that describe the development of scientific knowledge and practices in students. They are constructed based on learning theories and student data. Scholars have advocated for using LPs to align curriculum, instruction, and assessment into a coherent system, and by doing so, promote productive…

Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the assumptions of models for independent effect size estimates, such as by aggregating estimates to obtain one…

This scoping review examines the landscape of educational evaluation research in Asia over the past decade, uncovering the methodologies, themes, and unique regional challenges within this domain. By delving into 62 articles from evaluation-centric journals, the study reveals a predominant focus on learning, teaching, and assessment, highlighting…

Public pressure on evaluation has influenced educational projects and national evaluation systems for many decades. This article extends the ongoing discussions in the field, offering a problematising exploration of evaluation as an educational policy phenomenon, thinking with the notion of rhythm in the analysis. Approaching educational…

Evaluation in Design education is subjective and generally depends upon the pedagogues' personal perspective. Conducting subjective evaluation on a large scale is associated with multiple challenges; therefore, digitized evaluation is integral to maintain consistency in the evaluation process. This systematic literature review utilized SCOPUS, Web…

Single-case experimental designs (SCEDs) may offer a reliable and internally valid way to evaluate technology-enhanced learning (TEL). A systematic review was conducted to provide an overview of what, why and how SCEDs are used to evaluate TEL. Accordingly, 136 studies from nine databases fulfilling the inclusion criteria were included. The…

This paper presents a review of the literature pertaining to exam anxiety, highlighting findings from empirical studies, theoretical frameworks, and practical strategies. Exam anxiety is a pervasive issue affecting students worldwide, impacting academic performance and psychological well-being. This review explores the causes, manifestations, and…

Assessment is a key element in the teaching-learning process in physical education (PE). In 2020, the Association Internationale des Écoles Supérieures d'Éducation Physique (AIESEP) published a position statement on PE assessment, in which it reviews the current state of the field and establishes the current yet forward-looking main lines of…

In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…

Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews,…

Science, technology, engineering, and mathematics (STEM) education is increasingly recognized as a critical topic in today's educational landscape. This is because contemporary education outcomes need to equip students for the demands of 21st-century jobs. In this context, the role and strategic actions of school principals emerge as critical…

Educational robotics (ER) is a discipline of applied robotics focused on teaching robot design, analysis, application, and operation. Traditionally, ER has favored rigid robots, overlooking the potential of soft robots (SRs). While rigid robots offer insights into dynamics, kinematics, and control, they have limitations in exploring the depths of…

Background and Context: Computational thinking (CT) has been increasingly added to K-12 curricula, prompting teachers to grade more and more CT artifacts. This has led to a rise in automated CT assessment tools. Objective: This study examines the scope and characteristics of publications that use machine learning (ML) approaches to assess…

Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…

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…