Recently, generative AI has been at the center of disruptive innovation in various settings, including educational sectors. This article investigates ChatGPT, which is one of the most prominent generative AI in the market, to explore its usefulness and potential for instructional design. Four researchers used a set of prompts to generate a course…

Given the emphasis on critical thinking across the undergraduate curricula, research on argument visualization has significant implications for designing learning activities in higher education. This systematic review examines research on the use of argument maps or diagrams by postsecondary students. The goals were to identify the themes,…

Concept maps are assumed to enhance learning as their inherent structure makes relations between information more salient. Nevertheless, research on how to design concept maps as conducive to learning as possible is still rare. In particular, the salience of spatial arrangement of thematically related concepts within the map as well as the…

A deep understanding of the learning level of online learners is a critical factor in promoting the success of online learning. Using knowledge structures as a way to understand learning can help analyze online students' learning levels. The study used concept maps and clustering analysis to investigate online learners' knowledge structures in a…

In this article, we explored the potential of the Student Mental Model Analyzer for Research and Teaching (SMART) technology that was designed to help students write and revise high-quality summaries of complex texts. Grounded in the design research, the aim of this pilot study was twofold: (a) to generate insights to further improve the SMART…

This study aims to develop, implement, and evaluate an instructional design model to enhance the pedagogical content knowledge (PCK) of physics student teachers. Model development is accomplished in five stages over two years: 1) problem identification, 2) preliminary identification of the product and design concepts, 3) preliminary theories and…

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…

The typical introductory physics lecture requires students to consolidate and assimilate a large quantity of complex information that is often novel to them. This can leave students overwhelmed, slow the pace of their learning, and lower their motivation. We find that carefully designed multimedia summaries in the form of one-minute videos and…

Since decades, nursing education struggles with a persistent gap between the theoretical knowledge offered in the study program and its application in professional practice. To bridge this gap competence-based curricula were developed with instructional designs as authentic learning contexts and self-directed learning. In this project we explored…