From Codex to Code: Pedagogical Transformations in the Age of Technological Innovation

From Codex to Code: Pedagogical Transformations in the Age of Technological Innovation

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2024 by IJRES Journal
Volume-11 Issue-6
Year of Publication : 2024
Authors : James Hutson, Travis McMaken, Kathi Vosevich
DOI : 10.14445/23497157/IJRES-V11I6P117

How to Cite?

James Hutson, Travis McMaken, Kathi Vosevich, "From Codex to Code: Pedagogical Transformations in the Age of Technological Innovation," International Journal of Recent Engineering Science, vol. 11, no. 6, pp. 198-215, 2024. Crossref, https://doi.org/10.14445/23497157/IJRES-V11I6P117

Abstract
Generative Artificial Intelligence (GAI) is revolutionizing education, echoing historic shifts such as the emergence of the codex and the printing press. GAI automates complex tasks and personalizes learning to individual needs, enhancing interdisciplinary collaboration and bolstering critical thinking and ethical reasoning skills. Initiatives in new, innovative programming illustrate the benefits of embedding these generative technologies to foster cultural competence and innovative problem-solving. Research indicates that intelligent tools significantly enhance learner engagement and access to quality education, enriching learning environments. However, integrating these tools introduces challenges, including ethical dilemmas, academic integrity issues, and resource disparities. These challenges necessitate comprehensive policy development, robust faculty training, and inclusive design practices. Future research should focus on the longitudinal impacts of GAI, develop frameworks to support lifelong learning and establish ethical guidelines to ensure accountability. Advancing interdisciplinary research and prioritizing social inclusion, educational systems can align machines with human values and global educational goals. This strategy prepares learners for participation in increasingly knowledge-driven economies, ensuring that technological advancements remain ethically and socially responsible and equipping learners to excel in evolving professional landscapes.

Keywords
Generative artificial intelligence, Educational transformation, Interdisciplinary collaboration, Ethical reasoning, Lifelong learning.

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