PERSONALIZED LEARNING PATHWAYS IN INFORMAL IT LEARNING USING GENERATIVE AI
DOI:
https://doi.org/10.46991/educ-21st-century.v6.i2.81Keywords:
Artificial Intelligence (AI) in education, Generative AI, personalized learning, virtual mentor, informal IT education, work-study balance, educational technologiesAbstract
The information technology (IT) industry is growing rapidly, and AI enablement is transforming the education and learning landscape. This article explores the use of personalized learning strategies in informal IT courses, especially if discussions take place among engineers with strong expertise in related technical contextes and it focuses on the role of generative AI-powered virtual mentors, comparing the learning experiences of experienced engineers and novices. Additionally, it explores ways to maintain motivation, identify strengths and weaknesses, and balance professional work with ongoing learning. The article discusses the shift in professionals from non-IT industries and the growing trend towards standardization in the AI era. Practical examples are integrated throughout to illustrate real-world applications of these concepts.
References
Aggarwal, D. (2023). Integration of innovative technological developments and AI with education for an adaptive learning pedagogy. China Petroleum Processing & Petrochemical Technology, 23(2).
Akshay Birje (2024), How AI has Transformed the Learning and Development L&D Program,https://www.airmeet.com/hub/blog/how-ai-has-transformed-the-learning-and-development-ld-program/
Bhutoria, A. (2022). Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education: Artificial Intelligence, 3, 100068.
Billiot, T. (2023). Continuous learning and advancing technologies: A framework for professional development and training in artificial intelligence.
Chen, Z. (2023) Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs. J Knowl Econ 14.
Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2024). Exploring the impact of generative AI-based technologies on learning performance through self-efficacy, fairness & ethics, creativity, and trust in higher education. Education and Information Technologies.
García-López, I. M., Acosta-Gonzaga, E., & Ruiz-Ledesma, E. F. (2023). Investigating the impact of gamification on student motivation, engagement, and performance. Education Sciences, 13(8).
Garnett, J. (2016). Work-based learning: A critical challenge to the subject discipline structures and practices of higher education. Higher Education, Skills and Work-Based Learning. 6.
Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis. Electronics, 13(18).
Kazanidis, I., & Pellas, N. (2024). Harnessing Generative Artificial Intelligence for Digital Literacy Innovation: A Comparative Study between Early Childhood Education and Computer Science Undergraduates. AI, 5(3).
Lo, C.K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4).
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