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This paper aims to examine the barriers to adopting collaboration in architectural design studios from the instructors' perspectives and explore strategies to overcome barriers.

Semi-structured interviews were conducted with 14 coordinators in architecture and interior architecture design studios to gather insights into their experiences and perspectives on collaboration. Thematic analysis was employed to identify key themes and patterns in the data.

The study reveals that collaboration is highly valued by instructors for its potential to enhance creativity, problem-solving abilities, and preparation skills among students. However, the study identified several barriers, such as student conflicts, coordination challenges, cultural differences, and technological constraints.

The instructors recommended specific strategies to promote collaboration in architectural design studios. These strategies include involving students in collaborative projects, providing training in collaboration skills, striking a balance between online and in-person activities, and developing supportive policies and skills. Implementing these strategies can help design programmemes that prepare students for professional success and future careers.

This study sheds light on the importance of integrating collaboration skills in architectural education. By exploring barriers and suggesting strategies, it provides valuable insights for educators and encourages further research into the implementation of these strategies. Design programmes can benefit from adopting a multifaceted approach to foster collaboration among students, thereby enhancing their learning experience and future prospects.

Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of these tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices.

As part of the investigation, the authors conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Furthermore, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E and 3DGPT) for mechanical engineering-related tasks.

The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).

To the best of the authors’ knowledge, this study presents the first thorough assessment of the potential of GenAI from the lens of the mechanical engineering field. Combining scientometric analysis, experimentation and pedagogical insights, the study provides a unique focus on the implications of GenAI tools for material selection/discovery in product design, manufacturing troubleshooting, technical documentation and product positioning, among others.

This study seeks insights into the engineering undergraduates’ knowledge of problem-solving process, teamwork characteristics and communication skills.

The data for the study were collected through consecutive sampling technique from 78 engineering undergraduates at the Birla Institute of Technology and Science Pilani, Pilani Campus, India on a five-point Likert scale-based questionnaire.

Exploratory factor analysis results traced three stages of the problem-solving process. However, the results of teamwork characteristics and communication skills validated the literature-based results. An important finding was that all the three skills were correlated. This means that one skill can be used to develop and promote other skills. The paired sample t-test demonstrated that all the three skills were perceived with a difference, which indicates that these skills worked in collaboration without losing their individuality.

This study supports that there is a need to engage learners in an active and collaborative environment to improve the engineering undergraduates’ knowledge of skills.

The conscious effort to make the engineering undergraduates aware would reduce the gap between the graduating engineers skills currently possessed in academia and the required skills at workplace.