Digital forensic scientists primarily rely on individual internal reasoning and categorical conclusions when evaluating evidence in casework. This can make it difficult to maintain structured reasoning that is logically sound, balanced, robust, and transparent. Trojan horse defense cases exemplify these …

The workload in the healthcare sector is increasing, requiring the need for innovative solutions. One such solution is for AI to assist in clinical decision-making by extracting information from patient’s records. To ensure healthcare professionals stay in the lead, the reasoning of the AI should be …

We present GarpN, a software tool designed to integrate qualitative and quantitative modelling. GarpN has three functionalities: translating a qualitative representation into a quantitative model, running numerical simulations and detecting quantitative states, and matching these states to their qualitative …

This paper describes the development of a systemsbased reference model to support teachers in learning about collaborative learning among teachers. By representing collaborative dynamics into a formal model, the project offers a tangible means to support sustained, collective professional growth. The …

We developed a lesson where students construct a qualitative representation to learn how clock genes are regulated. The lesson, designed for upper secondary and higher education, is implemented in the DynaLearn software (level 4), which allows for modelling feedback loops. Students construct the representation …

ENPICOM is a biotechnology company shifting its focus toward machine learning operations (MLOps), but its branding did not reflect this change. Brand materials were inconsistent and lacked a clear direction, which made it difficult for designers and marketers to maintain a unified identity. This project …

We developed a lesson where students construct a qualitative representation to learn how clock genes are regulated. Qualitative representations provide a non-numerical description of system behavior, focusing on causal relation-ships and system states. They align with human reasoning about system dy-namics …

Citizens regularly search the Web to make informed decisions on daily life questions, like online purchases, but how they reason with the results is unknown. This reasoning involves engaging with data in ways that require statistical literacy, which is crucial for navigating contemporary data. However, …

Abductive thematic analysis blends empirical observations with theoretical frameworks, fostering a continuous and dynamic exchange between research evidence and theory. It is distinct from other forms of analysis as it is underpinned by pragmatism and is flexible in its adoption of theory to best answer …

In this commentary, the authors respond to Ellaway & Patocka’s “To define or not to define: A commentary on the Case for Metacognitive Reflection,” which raised several thoughtful and discerning questions concerning the implications of defining, or alternatively, refraining from defining constructs. …