Applying Data Analytics and Cumulative Accuracy Profile (CAP) Approach in Real-Time Maintenance of Instructional Design Models

Housni, Mohamed; Namir, Abdelwahed; Talbi, Mohamed; Chafiq, Nadia

doi:10.1007/978-3-319-91337-7_2

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…We propose an implementation path, discuss the potential benefits, and highlight the challenges that might be encountered along the way in conceptualizing these AI tools. We hope that this research will contribute to the discourse on technological innovation in career guidance and lay the groundwork for future research in AI m-technologies and implementation efforts in Morocco and beyond [14].…”

Section: Ai-orientation Systemmentioning

confidence: 92%

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

Talib,

Housni,

Radid

2023

Int. J. Interact. Mob. Technol.

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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.

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Section: Ai-orientation Systemmentioning

confidence: 92%

“…The Moroccan education system has been grappling with the challenge of providing effective and personalized career guidance to its vast student population [13]. The incorporation of AI and e-orientation systems could potentially transform this landscape, providing personalized and dynamic guidance to Moroccan students [14].…”

Section: Ai-orientation Systemmentioning

confidence: 99%

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

Talib,

Housni,

Radid

2023

Int. J. Interact. Mob. Technol.

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“…However, this study tries to plan pathways for future technologies that include more dimensions and vectors. Proponents of the race towards using data to bring change and adapt to new era challenges this research find stable ground that encourages the study of Learning Analytics application on a hybrid educational environment to adapt and improve the models used in many contexts [5].…”

Section: Gap and Contributionmentioning

confidence: 96%

“…The rise of MOOCs, Technology Enhanced Learning (TEL), and Educational Data Mining (EDM) pushed forward Learning Analytics research in the last decade. Nevertheless, a lack of studies does not address Learning Analytics' application in a context where restrictions impose [5].…”

Section: Gap and Contributionmentioning

confidence: 99%

Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model

Housni

Talbi

Namir

2021

Int. J. Emerg. Technol. Learn.

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COVID-19 pandemic accelerated the digitalization and the implementation of technological tools to distribute knowledge and content to certify the instructional process's steadiness despite the restrictions posed in many nations worldwide. However, multi-models of development and integrations based on multitudes of theoretical and conceptual frameworks made it difficult for deciders during the year - especially in developing countries - to follow a clear path based on their contextual needs. Based on a literature review and historical Data, Learning Ana-lytics research, and its empirical results, this article proposes a data-analytics model for growth. Training/educational technologies help stakeholders use data as intelligence sources to implement technologies that will improve traditional learning procedures without constraining practices. As a result, the paper also suggests, according to the pragmatic results, a 4-year plan applicable in multidi-mensional contexts to enhance the organization's learning capabilities as a whole unit to face future trials. The return on experience in the last year of the pandemic contracts the methodological basis of results. Furthermore, this manuscript's aim is defined by the urgent necessity of post-pandemic solutions to positively safe-guard the future of keeping the wheel of knowledge running for the learners and warrant upcoming transition into using data as a source of developing new learn-ing technologies.

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Towards the Design of an Innovative and Social Hybrid Learning Based on the SMAC Technologies

Chafiq

Housni

2018

Information Systems and Technologies to Support Learning

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Applying Data Analytics and Cumulative Accuracy Profile (CAP) Approach in Real-Time Maintenance of Instructional Design Models

Cited by 6 publications

References 4 publications

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

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

Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model

Towards the Design of an Innovative and Social Hybrid Learning Based on the SMAC Technologies

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