Utilizing M-Technologies for AI-Driven Career Guidance in Morocco: An Innovative Mobile Approach

Authors

DOI:

https://doi.org/10.3991/ijim.v17i24.44263

Keywords:

M-technologies, Mobile Learning, AI orientation systems, e-orientation systems, career guidance, Large Language Models, LLAMA2, GPT, PaLM, Mobile Career Counseling

Abstract


In today’s interconnected world, the significance of effective career guidance has been magnified. With the advent of mobile technologies, e-orientation and artificial intelligence (AI)-orientation systems offer a promising avenue for personalized career guidance. This paper delves into the potential of transitioning from traditional e-orientation to advanced AI-orientation systems in Morocco by employing large language models (LLMs) such as LLAMA2, GPT, and PaLM. These LLMs, renowned for their human-like text generation and contextual understanding, are proposed as the backbone for AI chatbots that can serve as virtual career counselors. Accessible via mobile platforms, these mobile chatbot interfaces can provide real-time insights on career paths, educational prerequisites, and job market dynamics and outlooks. Despite challenges such as Internet reliability, data privacy, and legislative regulations, the integration of AI-orientated systems into mobile platforms can revolutionize career guidance for Moroccan students. This paper presents a detailed roadmap and implementation for embedding these innovative technologies into Morocco’s educational framework.

Author Biographies

Abdelmoumen Talib, Hassan II Casablanca University, Casablanca, Morocco

Abdelmoumen TALIB is the director of the Regional Academy of Education and Training in Casablanca-Settat, Ministry of National Education in Morrocco. He is a member of the Laboratory: Chemistry and physics of Materials at the Faculty of Sciences Ben M’Sick, University Hassan II of Casablanca. He leads research work in e-orientation and AI-Orientation systems to enhance educational outcomes.

Mohamed Housni, Laboratory of information technologies and modeling (LTIM), Faculty of Sciences Ben M'Sick, University HASSAN II of Casablanca, Morocco

Mohamed HOUSNI is a Mathematics and Computer Science teacher at the Ministry of National Education in Morrocco, Regional Academy of Education and Training Casablanca-Settat (AREF Casa-Settat). He is a member of the Laboratory of Information Technologies and Modelling (LTIM), Department of Mathematics and Computer science Faculty of Sciences Ben M’Sick-University HASSAN II, Casablanca, Morocco. His area of research focuses on applying Data Analytics in the Moroccan Educational System.

Mohamed Radid, Hassan II Casablanca University, Casablanca, Morocco

Mohamed RADID is a professor of Chemistry at Ben M’Sick Faculty of Sciences, Hassan II University of Casablanca. He is a member of the laboratory: Chemistry and physics of Materials in the same university. He leads research work in physical chemistry of materials, didactic of chemistry, pedagogy, integrating I.C.T.s for the educational and evaluation.

Cover iJIM – Vol 17, No 24, 2023

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Published

2023-12-22

How to Cite

Talib, A., Housni, M., & Radid, M. (2023). Utilizing M-Technologies for AI-Driven Career Guidance in Morocco: An Innovative Mobile Approach. International Journal of Interactive Mobile Technologies (iJIM), 17(24), pp. 173–188. https://doi.org/10.3991/ijim.v17i24.44263

Issue

Vol. 17 No. 24 (2023)

Section

Reports

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Copyright (c) 2023 Abdelmoumen Talib, Mohamed HOUSNI, Mohamed Radid

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