Design thinking dispositions are essential for students to understand why design thinking knowledge should be applied to perform specific tasks. However, few studies are focused on teaching design thinking dispositions. This study proposes a conceptual model that supports teaching design thinking dispositions to address this gap. The model was…

Although computational thinking (CT) is becoming increasingly prevalent in K-12 education, many teachers find it challenging to integrate it with their classroom learning. In this systematic review, we have reviewed empirical evidence on teachers' computational-thinking-focused professional development (PD). The findings depict the landscape of…

The Bayesian piecewise growth model (PGM) is a useful class of models for analyzing nonlinear change processes that consist of distinct growth phases. In applications of Bayesian PGMs, it is important to accurately capture growth trajectories and carefully consider knot placements. The presence of missing data is another challenge researchers…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

The modeling of rates of biochemical reactions--fluxes--in metabolic networks is widely used for both basic biological research and biotechnological applications. A number of different modeling methods have been developed to estimate and predict fluxes, including kinetic and constraint-based (Metabolic Flux Analysis and flux balance analysis)…

This empirical study aims to understand the assessment pedagogies used to support pre-service teachers' assessment development in the post-pandemic. The study involved sixty 4th year English language pre-service teachers, and data were collected from interviews, practicum observation notes, field visit notes, and reflection papers. The study aimed…

Along with standards describing what music students should be able to do, the National Core Arts Standards developed Model Cornerstone Assessments suggesting how teachers can measure student learning for each artistic process. This article explores the Respond Model Cornerstone Assessment. This column explains the Model Cornerstone Assessment for…

In learnersourcing, automatic evaluation of student-generated content (SGC) is significant as it streamlines the evaluation process, provides timely feedback, and enhances the objectivity of grading, ultimately supporting more effective and efficient learning outcomes. However, the methods of aggregating students' evaluations of SGC face the…

This study conducted a comprehensive comparison of Item Response Theory (IRT) linking methods applied to a bifactor model, examining their performance on both multiple choice (MC) and mixed format tests within the common item nonequivalent group design framework. Four distinct multidimensional IRT linking approaches were explored, consisting of…

This article is based on the premise that the international scientific community needs a generic theoretical framework to explain the determinants and mechanisms associated with learning opportunities for trainers in the field of training and development. Therefore, we adapted offer-and-use models for the continuous training of schoolteachers to…

The distinguishing feature of dynamic assessment (DA) is the dialectical integration of assessment and instruction. However, how to design the targeted instruction or mediation has been relatively underexplored. To address this gap, this study proposes the attribute-based mediation model (AMM), an English-as-a-foreign-language listening mediation…

The terms 'authenticity' and 'authentic' have been used increasingly frequently in educational contexts over the past decades. In science education, authenticity is claimed to be a crucial concept, inter alia, for students' motivation and interest in science. However, both terms are used, defined and conceptualised in various and ambiguous ways.…

In this article, the authors share their favorite "Construct It!" activity, which focuses on rate of change and functions. The initial approach to instruction was procedural in nature and focused on making use of formulas. Specifically, after modeling how to find the slope of the line given two points and use it to solve for the…

Logic modeling, the process that explicates how programs are constructed and theorized to bring about change, is considered to be standard evaluation practice. However, logic modeling is often experienced as a transactional, jargon-laden, discrete task undertaken to produce a document to comply with the expectations of an external entity, the…

Complex Machine Learning (ML) models used to support decision-making in peer-to-peer (P2P) lending often lack clear, accurate, and interpretable explanations. While the game-theoretic concept of Shapley values and its computationally efficient variant Kernel SHAP may be employed for this aim, similarly to other existing methods, the latter makes…