IEEE TLT Special Issue: Intelligence Augmentation and the Future Education: Transforming Learning Landscapes Across Modalities and Lifecycles

IEEE TLT successfully closed the Special Issue titled “Intelligence Augmentation and the Future Education: Transforming Learning Landscapes Across Modalities and Lifecycles”, advised by Harvard University professor Chris Dede, aimed at gathering pioneering research studies shaping the future of
education. The SI attracted a strong response from international scholars, which culminated in an overall 30.3% acceptance rate with 10 high-quality contributions finally accepted after a rigorous, multi-stage, peer review process. 

The accepted manuscripts, coming from 8 different countries, span across multiple, engaging domains, offering crucial and valuable insights about how the most recent advancements in machine learning and artificial intelligence can transform educational environments at all levels. Key topics addressed in the accepted contributions to the SI include: reconfiguration of teaching roles; cognitive and metacognitive empowerment; structural redesign of curriculum and educational ecosystems; assessment and feedback ethics; multimodal intelligence for affective-cognitive modulation. The SI editorial will be co-authored by prof. Chris Dede (Harvard University), prof. Minjuan Wang (Education University of Hong Kong, editor-in- chief of IEEE TLT), and by two of the SI’s guest editors, Marco Zappatore (University of Salento) and Xuefan Li (University of Toronto). 

The IEEE TLT editorial board thanks all the authors, reviewers, and guest editors for their invaluable efforts.