In this paper, to handle the problem of the quick evolution of cyber-security attacks, we developed the iMonsters board game and proposed the attack and defense knowledge self-evolving algorithm. Three versions of the iMonsters were launched in 2013, 2017, and 2019, respectively. Accordingly, the cyber-security ontology can be refined by the…

Digital transformation in education and relevant calls for action are recognised global priorities aimed to support education and training in the digital age. The experiences from the emergency remote teaching during the COVID-19 pandemic and recent research findings reveal relevant advantages, challenges, as well as different students and…

Early childhood is an important time for building children's affinity with nature and the environment. Early childhood professionals play a crucial role in developing young children's understanding of the natural world. Over the past 50 years, there has been a movement in early childhood education and care contexts to provide young children with…

Considering the need for pedagogically effective learning activities and materials to support language learning, particularly within teacher-led instruction, it is curious that at present there is no overarching, research-based framework available to educators to draw from when designing and implementing such activities and materials. To address…

Generative artificial intelligence (GenAI) such as ChatGPT, as well as educational technology (EdTech) powered by GenAI, have the potential to improve learning outcomes for all students. However, teachers, school leaders and education policymakers are grappling with questions about how to navigate the potential benefits and risks of using this…

Past events, such as "close calls," can provide valuable learning opportunities, especially in aviation, where learning from past errors could potentially help to avoid future incidents or accidents. This study investigated whether three cognitive biases (availability, outcome, and hindsight bias) could influence pilots' perceptions of…

Background: Modeling and simulation practices have become commonplace in modern engineering, but in-depth research on the development of modeling and simulation expertise is needed to identify the learning processes involved in successfully acquiring these skills. Purpose: This study investigated student dimensions of expertise when engaged in…

This paper presents a framework for self-regulated learning (SRL) that is based on the conceptualisation of prominent constructs in the literature. To explore opportunities that promote SRL in educational contexts, it is necessary to frame conceptually the influences that empower individuals to think and feel as active participants in their…

Purpose: Despite the importance of investigating the impact of cloud computing on the e-learning process, the relationship development between the two is not examined well. Thus, the main goal of this research is to assess how to improve the e-learning process by using cloud services. This paper aims to attempt to investigate the impact of cloud…

Apps are becoming increasingly important in education. However, critical educational research has hardly ever undertaken up-close analyses of educational apps. This article provides an extensive analysis of one 'learning to code' app called Grasshopper. Drawing from the field of Science and Technology Studies, the article adopts a theoretical…

What is the best way of discovering the underlying structure of a causal system composed of multiple variables? One prominent idea is that learners should manipulate each candidate variable in isolation to avoid confounds (sometimes known as the control of variables [CV] strategy). We demonstrate that CV is not always the most efficient method for…

Self-regulation is critical for successful learning, and socially shared regulation contributes to productive collaborative learning. The problem is that the psychological processes at the foundation of regulation are invisible and, thus, very challenging to understand, support, and influence. The aim of this paper is to review the progress in…

This study describes how we developed a learning progression (LP) for systems thinking in ecosystems and collected preliminary validity evidence for the LP. In particular, the LP focuses on how middle and high school students use discipline-specific systems thinking concepts (e.g. feedback loops and energy pyramid) to analyze and explain the…

Purpose: This study aims to empirically investigate the role of learning for suppliers of individualized customizations from a communication perspective. Design/methodology/approach: Five companies providing individualized customizations are investigated through an in-depth qualitative approach. The empirical material is based on data from five…

Distributional models of semantics learn word meanings from contextual co-occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co-occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co-occurrences…