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Advisor(s)
Abstract(s)
Smart Computer-Assisted Teaching (SCAT) has emerged as a response to the challenges of traditional classroom teaching, which can often be rigid, one-size-fits-all, and unable to accommodate the unique needs and learning styles of individual students. With the rapid advancements in technology, especially in artificial
intelligence (AI) and machine learning (ML), educators and researchers have recognized the potential of
using intelligent computer systems to augment and enhance traditional teaching methods. SCAT leverages
these technological innovations to provide students with personalized and adaptive learning experiences.
The key benefits of smart computer-assisted teaching are the possibility of personalization, fast feedback
and assessment, and enhanced collaboration. AI and ML algorithms can be used to analyze student data,
identify their individual learning needs, and provide targeted feedback and support. These systems are
designed to adapt to the pace and style of learning of each student and provide them with personalized
learning pathways that are tailored to their needs and abilities. SCAT has the potential to transform the way
we educate students, providing them with more personalized and effective learning experiences that can help
them to achieve their full potential and can better prepare students for the demands of the 21st century.
Description
Keywords
Smart Computer-Assisted Teaching (SCAT) Intelligent computer systems Teaching methods Learning experiences
Citation
Coelho, L., & Reis, S.S. (2023, July 6-7). Smart computer-assisted teaching: an innovative approach to personalized education [Paper presentation]. Book of abstracts of the P.PIC23 - Porto Pedagogical Innovation Conference, Porto, Portugal