30Oct 2024

THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TEACHING CAREERS: PEDAGOGICAL, ADMINISTRATIVE AND ETHICAL CHALLENGES AND OPPORTUNITIES

  • Federal Institute of Parana, Department of Management and Business.
Crossref Cited-by Linking logo
  • Abstract
  • Keywords
  • Cite This Article as
  • Corresponding Author

This article reviews the impacts of Artificial Intelligence (AI) on teaching careers, with a focus on the pedagogical, administrative, and ethical dimensions, based on an analysis of recent studies (2022-2024). In the pedagogical dimension, AI has the potential to personalize teaching through adaptive systems and virtual tutors, adjusting content to students needs. However, this personalization could compromise teachers autonomy, as they may become dependent on algorithms for decisions regarding lesson pacing and content. In the administrative dimension, AI automates tasks such as grading and lesson planning, allowing for more teaching-focused time. However, this requires new training and technological adaptations, which may increase teachers workloads. In the ethical dimension, challenges such as data privacy, algorithmic bias, and digital exclusion could exacerbate educational inequalities. The article provides recommendations for leveraging AI as a teaching aid while preserving teacher autonomy and ensuring ethical and inclusive implementation. Methodological limitations, such as the narrow temporal scope and the lack of long-term impact studies, are acknowledged. The article also calls for future research on AI integration in various educational contexts and the development of public policies to ensure equitable technology adoption in schools and universities.


[Marcio Goncalves Dos Santos (2024); THE IMPACT OF ARTIFICIAL INTELLIGENCE ON TEACHING CAREERS: PEDAGOGICAL, ADMINISTRATIVE AND ETHICAL CHALLENGES AND OPPORTUNITIES Int. J. of Adv. Res. (Oct). 854-866] (ISSN 2320-5407). www.journalijar.com


Márcio Gonçalves dos Santos
Federal Institut of Parana
Brazil

DOI:


Article DOI: 10.21474/IJAR01/19705      
DOI URL: https://dx.doi.org/10.21474/IJAR01/19705