Boumedyen Shannaq
Biographic Data
| ID | 6953305 |
|---|---|
| NAME | Boumedyen Shannaq |
| GIVEN NAMES | Boumedyen |
| FAMILY NAME | Shannaq |
| SIGNATURE | SHANNAQ B |
| AFFILIATIONS | University of Buraimi |
| ORCID | 0000-0001-5867-3986 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Artificial Intelligence, Job Displacement, and Gender-Specific Training Pathways
This study investigates gender-based differences in how AI-Based Performance Analytics (AIPAN) and Women’s Engagement in Technology (WET) influence Skill Gap Identification using AI (SGIAI) and its subsequent effect on Training Program Alignment (TPA). The researchers studied female and male participants independently through SEM multi-group analysis of their data. AIPAN served as a strong predictor of SGIAI for women alongside WET, which contrib…
Who Benefits More from E-Learning? A Gender-Based SEM-PLS Analysis of Adoption, Outcomes, and Future Optimization Paths in Digital Education
The current research analyzes how essential variables influence E-Learning Benefits (ELB) through gender-based perspectives for students enrolled at the university level. A research analysis using SEM and MGA examines the impact of MOT, DR, and PEU and PU on ELE and ELB across genders from students at the University. The results stemmed from 330 participants (174 females and 156 males) who completed structured surveys. Data shows that females sho…
Enhancing secure access through time-stamped password analysis
The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis …
Exploring the role of machine learning models in risk assessment models for developed organizations’ management decision policies
The goal of this work was to create and assess machine-learning models for estimating the risk of budget overruns in developed projects. Finding the best model for risk forecasting required evaluating the performance of several models. Using a dataset of 177 projects took into account variables like environmental risks employee skill level safety incidents and project complexity. In our experiments, we analyzed the application of different machin…
Evaluating e-learning integration
In order to assess the effects of e-learning integration on university performance and competitiveness, this study uses Oman as a model for the Gulf. Analyzing how e-learning impacts technology integration, diversity, community engagement, infrastructure, financial strength, institutional reputation, student outcomes, research and innovation, and academic quality can reveal whether universities are effectively incorporating digital tools to enhan…
Evaluating the future of digital and Face-to-Face Communication on student motivation
The present research focuses on researching the impact of the diverse communication media that facilitate or develop Student Motivation and Engagement in the educational systems of the states in the Gulf, especially Oman. The main goal of this work is to determine which type of method is most effective in encouraging students in view of cultural and technological factors present in the region. Comparisons using hypothesis testing and structural m…
Advancing user classification models
In this paper, we assess the results of experiment with different machine learning algorithms for the data classification on the basis of accuracy, precision, recall and F1-Score metrics. We collected metrics like Accuracy, F1-Score, Precision, and Recall: From the Neural Network model, it produced the highest Accuracy of 0.129526 also highest F1-Score of 0.118785, showing that it has the correct balance of precision and recall ratio that can pic…
Exploring the impact of generative AI technologies on education
This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Us…
An intelligent online human-computer interaction tool for adapting educational content to diverse learning capabilities across Arab cultures
Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-le…
Exploring biometric attendance technology in the Arab academic environment
This study provides insights for decision-makers contemplating the implementation of Biometric Attendance Technology (BAT) for faculty in educational institutions. We conducted a comprehensive assessment of BAT’s impact on Arab educational systems, focusing on its influence on faculty loyalty and satisfaction, which are integral to enhancing overall organizational performance. Using SMART-PLS, we analyzed data from an electronic questionnaire dis…
Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange
The collaboration between India and the Gulf regions presents a promising opportunity for sustainable economic innovation amidst global challenges. However, there is a notable research gap in understanding how machine learning techniques, particularly clustering, can drive such innovation effectively in this context. Existing literature lacks tailored models for the India–Gulf interchange’s specific needs. This study aims to fill this gap by inve…
No prominent works on this page.
Enhancing secure access through time-stamped password analysis
The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis …
Exploring the role of machine learning models in risk assessment models for developed organizations’ management decision policies
The goal of this work was to create and assess machine-learning models for estimating the risk of budget overruns in developed projects. Finding the best model for risk forecasting required evaluating the performance of several models. Using a dataset of 177 projects took into account variables like environmental risks employee skill level safety incidents and project complexity. In our experiments, we analyzed the application of different machin…
Evaluating e-learning integration
In order to assess the effects of e-learning integration on university performance and competitiveness, this study uses Oman as a model for the Gulf. Analyzing how e-learning impacts technology integration, diversity, community engagement, infrastructure, financial strength, institutional reputation, student outcomes, research and innovation, and academic quality can reveal whether universities are effectively incorporating digital tools to enhan…
Evaluating the future of digital and Face-to-Face Communication on student motivation
The present research focuses on researching the impact of the diverse communication media that facilitate or develop Student Motivation and Engagement in the educational systems of the states in the Gulf, especially Oman. The main goal of this work is to determine which type of method is most effective in encouraging students in view of cultural and technological factors present in the region. Comparisons using hypothesis testing and structural m…
Advancing user classification models
In this paper, we assess the results of experiment with different machine learning algorithms for the data classification on the basis of accuracy, precision, recall and F1-Score metrics. We collected metrics like Accuracy, F1-Score, Precision, and Recall: From the Neural Network model, it produced the highest Accuracy of 0.129526 also highest F1-Score of 0.118785, showing that it has the correct balance of precision and recall ratio that can pic…
Exploring the impact of generative AI technologies on education
This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Us…
An intelligent online human-computer interaction tool for adapting educational content to diverse learning capabilities across Arab cultures
Students from different cultures possess varying levels of skills in learning, remembering, and understanding concepts. Some terms and their explanations may seem easy for one group of students but difficult for another. Therefore, delivering educational content that aligns with student’s learning capabilities is a challenging task based on cultural orientations. This study addresses the learning challenges by developing a Thesaurus Glossary E-le…
Exploring biometric attendance technology in the Arab academic environment
This study provides insights for decision-makers contemplating the implementation of Biometric Attendance Technology (BAT) for faculty in educational institutions. We conducted a comprehensive assessment of BAT’s impact on Arab educational systems, focusing on its influence on faculty loyalty and satisfaction, which are integral to enhancing overall organizational performance. Using SMART-PLS, we analyzed data from an electronic questionnaire dis…
Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange
The collaboration between India and the Gulf regions presents a promising opportunity for sustainable economic innovation amidst global challenges. However, there is a notable research gap in understanding how machine learning techniques, particularly clustering, can drive such innovation effectively in this context. Existing literature lacks tailored models for the India–Gulf interchange’s specific needs. This study aims to fill this gap by inve…
Artificial Intelligence, Job Displacement, and Gender-Specific Training Pathways
This study investigates gender-based differences in how AI-Based Performance Analytics (AIPAN) and Women’s Engagement in Technology (WET) influence Skill Gap Identification using AI (SGIAI) and its subsequent effect on Training Program Alignment (TPA). The researchers studied female and male participants independently through SEM multi-group analysis of their data. AIPAN served as a strong predictor of SGIAI for women alongside WET, which contrib…
Who Benefits More from E-Learning? A Gender-Based SEM-PLS Analysis of Adoption, Outcomes, and Future Optimization Paths in Digital Education
The current research analyzes how essential variables influence E-Learning Benefits (ELB) through gender-based perspectives for students enrolled at the university level. A research analysis using SEM and MGA examines the impact of MOT, DR, and PEU and PU on ELE and ELB across genders from students at the University. The results stemmed from 330 participants (174 females and 156 males) who completed structured surveys. Data shows that females sho…
Computer Science (11 works) · Business (5 works) · Computer security (4 works) · Knowledge management (4 works) · Political science (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Engineering (2 works) · Higher education (2 works) · Mathematics education (2 works)