Revolutionizing Engineering Education: Innovations and Perspectives

Dear Colleagues,

This Special Issue is seeking papers on engineering education revolutions in the context of technological advancement to meet the needs of the changing engineering landscape, including the changing workforce demographics and needs.

In the field of engineering, technology has always played an important role, and the advancements in artificial intelligence (AI) and augmented reality (AR) are no different. These technologies enable engineers to develop, visualize and analyze complex designs or models with incredible detail and precision, facilitating their work and resulting in significant improvements in efficiency, accuracy, and productivity. These technologies are revolutionizing engineering and the work of engineering professionals.

The integration of AI and AR in engineering also raises significant ethical concerns that must be addressed. As these technologies become more prevalent in educational settings, there is a risk of perpetuating biases and inequalities if AI algorithms are not properly calibrated or if access to AR-enhanced educational tools is unevenly distributed among students. Moreover, there are privacy concerns related to the collection and use of student data for AI-driven personalized learning, necessitating robust data protection measures. Additionally, there is a need for transparency in AI algorithms to prevent hidden biases and ensure that students are not exposed to misleading or erroneous information. Ethical considerations should be at the forefront of the development and deployment of AI and AR technologies in engineering education, to ensure that they benefit all learners without compromising their privacy, equity or well-being.

To address the evolving landscape of engineering, it is imperative that we, as educators, critically examine our values and ask ourselves: How can technology help engineering educators from pre-college years to higher education, and enhance engineering teaching and learning? How can we ensure that ethical standards are upheld as technological systems are deployed?

Topics covered and welcome for submission include the following:

• Enhancing engineering education using technological tools and interventions;
• Ethics of generative AI in engineering education;
• Concerns and benefits of artificial intelligence and virtual reality in engineering education.

References

1. National Academy of Engineering. 2004. The Engineer of 2020: Visions of Engineering in the New Century. Washington, DC: The National Academies Press. https://doi.org/10.17226/10999
2. Qadir, J. (2023, May). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. In 2023 IEEE Global Engineering Education Conference (EDUCON) (pp. 1-9). IEEE.
3. u, Q., Zhu, L., Xu, X., Whittle, J., & Xing, Z. (2022, May). Towards a roadmap on software engineering for responsible AI. In Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI (pp. 101-112).
4. Khawaja, E. A., & Ehsan, H. (2023, June). Work in Progress: A Survey of Artificial Intelligence Educational Resources for Pre-College Education. In 2023 ASEE Annual Conference & Exposition.
5. Ivanova, G., Ivanov, A., & Zdravkov, L. (2023, May). Virtual and Augmented Reality in Mechanical Engineering Education. In 2023 46th MIPRO ICT and Electronics Convention (MIPRO) (pp. 1612-1617). IEEE

Dr. Abeera Rehmat
Dr. Hoda Ehsan
Dr. Marissa C. Owens
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• engineering education
• artificial intelligence
• virtual reality
• ethics in engineering