Emerging Learning Technologies for Future of Work and Education in Engineering

Proposals are invited for papers for a special issue of the Journal of Advanced Engineering Informatics.

This special issue focuses on emerging learning technology research that incorporates the learning and technological methods to enable radical improvements in engineering education and training and prepare higher education and lifelong learning for the future of work. This special issue aims to advance knowledge in the application of next-generation learning technologies in engineering work and education by encouraging authors to present new concepts, experiments, and case studies, as well as to define methodologies and best practices to foster and assess education and re-skilling through technology-rich learning environments. Such studies might cover a wide range of learning contexts and domains from formal (e.g., higher education, continuing education) or informal to non-formal (e.g., vocational education, work-based learning) or open and distance learning. Topics of interest would cover all advances in learning technologies, new modalities of education and training, and their applications in the context of future engineering work and education, including but not limited to:

  • Augmented/Virtual/Mixed/Extended-Reality (AR/VR/MR/XR) technologies to create technology-rich learning experiences
  • AI-enabled/augmented learning (e.g., AI partners, Human-AI collaboration)
  • Educational robotics: learning experiences based on the use of robots
  • Innovative online learning systems (e.g., peer-tutoring, collaborative learning tools, automated intelligent systems)
  • Learning with sensors, mobile devices, and wearables
  • Learning with educational games and simulations
  • Learning with social media networks and infrastructures
  • Intelligent instructors (including teachers/trainers, teaching assistants, or apprenticeship mentors/masters)
  • Virtual communities/spaces for learner engagement (e.g., virtual social spaces, virtual clubs and groups)
  • Technology-mediated field trips, lab work, on-the-job training, internships/Co-Ops, career fairs, and interviews
  • Personalized and adaptive learning systems (e.g., adapting to learners/workers’ interests, needs, prior knowledge, and available resources)
  • Learning analytics and educational data mining

Important Dates:
Submission open: November 1, 2020
Submission deadline: April 30, 2021
Final review decision due: September 30, 2021

Learn more here.

Guest Editors:
Dr. Masoud Gheisari, University of Florida (masoud@ufl.edu)
Dr. Burçin Becerik-Gerber, University of Southern California (becerik@usc.edu)
Dr. Carrie Dossick, University of Washington (cdossick@uw.edu)