This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…

Engineering design thinking is at the core of engineering competence. Project-Based learning (PjBL) about Science, Technology, Engineering, and Mathematics (STEM), which is based on engineering design, has brought enormous success in students' gaining and applying knowledge about STEM subjects. However, there are few studies on the perceived…

The COVID-19 pandemic exacerbated the already increasing challenge of establishing immersive, co-curricular activities for engineering students, particularly for biomedical-related activities. In the current work, we outline a strategy for co-curricular learning that leverages a private-public partnership in which methods for capacity-building…

Generative artificial intelligence (AI) technologies, such as large language models (LLMs) and diffusion model image and video generators, can transform learning and teaching experiences by providing students and instructors with access to a vast amount of information and create innovative learning and teaching materials in a very efficient way…

Engineering is developing extensive leadership education, supporting future professional engineers to engage with others in solving complex sociotechnical problems. A contemporary challenge is to integrate leadership learning into foundational coursework requirements.

"The Framework for K-12 Science Education" and the Next Generation Science Standards require teachers to integrate engineering design into K-12 science teaching. However, many teachers have no formal preparation in engineering design and how to integrate it into science instruction. Furthermore, few models exist for preparing teachers in…

This study reveals the content and methodological features of professionally oriented training of engineering students in higher mathematics. The authors provide examples of applied tasks for students of different technical specialities. The relevance of this article is determined by the fact that a modern higher educational institution sets…

This paper presents and evaluates a role-play simulation called 'Theatrical Technology Assessment', in which students learn about complex stakeholder dynamics around emerging technologies. This role-play combines insights from Constructive Technology Assessment, improvisational theatre and educational role-play designs. It was implemented in an…

Although some studies have incorporated poetry into engineering courses, no studies exist that explore the use of writing poetry about technical topics to develop creative thinking skills in undergraduate engineering education. This study explores engineering students' perceptions of incorporating poetry writing within an upper-level…

Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K-12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to…

Engineering identity has been repeatedly linked to the retention and success of engineering students, however, the current methods for understanding identity may not capture the holistic engineering identity journey. This study reviewed the method of utilising journey maps as a new approach to capture student engineering identity experiences.…

Objective: To investigate the influence of grit on physical activity, sleep and diet in undergraduate students during the COVID-19 pandemic. Participants: 125 undergraduate students participated in the study. Participants completed an online survey while enrolled in an online class during June, 2020. Methods: The online questionairre featured the…

Variability is underemphasized in domains such as engineering. Statistics and data science education research offers a variety of frameworks for understanding variability, but new frameworks for domain applications are necessary. This study investigated the professional practices of working engineers to develop such a framework. The Neglected,…

The aim of this research is to discover the continuance and recommendation intention of higher education students who are using ChatGPT. Specifically, we proposed an extend technology continuance theory (TCT) by integrating the recommendation intention. A structured Google form is used to collect the data from the higher education students…

As the number and complexity of instructional tools have increased, universities have rapidly adapted to ensure their students have the necessary tools and resources for academic success (Rafi et al., 2014; Rafi et al., 2020). One of these adaptations has been the creation of virtual learning platforms using Virtual Reality (VR) technology. This…