Integration of Generative AI Techniques and Applications in Student Behavior and Cognitive Achievement in Arab Higher Education

Jaboob, Mohammed; Hazaimeh, Manar; Al-Ansi, Abdullah M.

doi:10.1080/10447318.2023.2300016

Cited by 21 publications

(4 citation statements)

References 81 publications

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“…The method for predicting an object's future states may be seen visually thanks to non-local neurons [31][32][33]. The future state of the control object is represented by a non-local neuron, which indicates the intensity and direction of the variables that are significantly impacting it [34][35][36]. A neural network is a collection of interconnected neurons.…”

Section: Resultsmentioning

confidence: 99%

Intelligent Risk Analysis of Investment Projects in the Extractive Industry

Al-Ansi,

Garad,

Ryabtsev

2024

JII

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This study introduces an advanced technology for risk analysis in investment projects within the extractive industry, specifically focusing on innovative mining ventures. The research primarily investigates various determinants influencing project risks, including production efficiency, cost, informational content, resource potential, organizational structure, external environmental influences, and environmental impacts. In addressing the research challenge, system-cognitive models from the Eidos intellectual framework are employed. These models quantitatively reflect the informational content observed across different gradations of descriptive scales, predicting the transition of the modelled object into a state corresponding to specific class gradations. A comprehensive analysis of strengths, weaknesses, opportunities and threats (SWOT) has been conducted, unveiling the dynamic interplay of development factors against the backdrop of threats and opportunities within mineral deposits exploitation projects. This analysis facilitates the identification of critical problem areas, bottlenecks, prospects, and risks, considering environmental considerations. The application of this novel intelligent technology significantly streamlines the development process for mining investment projects, guiding the selection of ventures that promise enhanced production efficiency, cost reduction, and minimized environmental harm. The methodological approach adopted in this study aligns with the highest standards of academic rigour, ensuring consistency in the use of professional terminology throughout the article and adhering to the stylistic and structural norms prevalent in leading academic journals. By leveraging an intelligent, systematic framework for risk analysis, this research contributes valuable insights into optimizing investment decisions in the mining sector, emphasizing sustainability and economic viability.

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Section: Resultsmentioning

confidence: 99%

Intelligent Risk Analysis of Investment Projects in the Extractive Industry

Al-Ansi,

Garad,

Ryabtsev

2024

JII

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“…In a word, good English comprehensive ability is not only the accumulation of language skills but also the integration and application of language knowledge. It is a person's comprehensive ability to adapt and express in an English environment, which is of great significance to personal study and career development (Jaboob et al, 2024).…”

Section: Overview Of English Comprehensive Abilitymentioning

confidence: 99%

A Learning Measurement Model for English Comprehensive Ability Based on the Background of Educational Informatization

Yang

2024

International Journal of Web-Based Learning and Teaching Technologies

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The purpose of this study is to explore the learning measurement model of English comprehensive ability based on the background of educational informatization. With the rapid development of educational information technology, English education is facing unprecedented opportunities and challenges. Under the background of information technology, this study discusses the application of educational information technology in English teaching, the composition and evaluation criteria of English comprehensive ability, the role change of teachers and students in the information environment and the ability training. Through in-depth research and empirical research, this study aims to provide theoretical support and practical experience for the innovation and promotion of English education, promote the wide application of educational information technology in English teaching, and provide more effective support and guidance for the development of students' comprehensive English ability.

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“…Additionally, the growing healthcare sector in Jordan exacerbates the problem by generating increasing amounts of medical waste that strain existing waste management systems. Addressing these challenges requires improved governance, increased investment in appropriate technologies, enhanced public awareness campaigns, and stricter enforcement of regulations to ensure safe and sustainable management of medical waste in Jordan (Al-Ansi et al, 2023b;Ba Awain et al, 2023;Jaboob et al, 2024).…”

Section: Introductionmentioning

confidence: 99%

Strategies for Optimizing Medical Waste Management and Treatment Technologies in Jordanian Hospitals

Hendi,

Al-Hrinat,

Al-Ansi

et al. 2024

OCS

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Medical waste is recognized as a significant environmental and public health hazard due to its toxic and chemical constituents. In light of the varying standards for medical waste management within Jordan and comparisons with neighboring countries, this study aims to critically assess the existing management practices in Jordanian hospitals, utilizing a comprehensive database. The study further explores treatment technologies to enhance these practices. The effectiveness of Failure Mode and Effects Analysis (FMEA) in identifying and mitigating potential risks in the disposal process of infectious medical waste is also examined. Findings suggest that management procedures exhibit regional disparities influenced by factors such as the geographical location of the healthcare institution, its operational scale, and prevailing political circumstances. Moreover, the application of FMEA was found to significantly mitigate operational risks, as evidenced by reduced Risk Priority Number (RPN) values. Challenges identified include the need for increased resources, improved training, and enhanced systems for hazardous waste management. The study underscores the importance of public awareness in elevating medical waste management standards. These insights contribute to the broader discourse on environmental health and safety in medical waste management, advocating for systemic improvements in Jordanian healthcare facilities (HCFs).

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Integration of Generative AI Techniques and Applications in Student Behavior and Cognitive Achievement in Arab Higher Education

Cited by 21 publications

References 81 publications

Intelligent Risk Analysis of Investment Projects in the Extractive Industry

Intelligent Risk Analysis of Investment Projects in the Extractive Industry

A Learning Measurement Model for English Comprehensive Ability Based on the Background of Educational Informatization

Strategies for Optimizing Medical Waste Management and Treatment Technologies in Jordanian Hospitals

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