Ghazala Bilquise

@hct.ac.ae

Senior Lecturer, Computer Information Science
Higher Colleges of Technology

Ghazala Bilquise


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https://researchid.co/gbilquise

RESEARCH, TEACHING, or OTHER INTERESTS

Decision Sciences, Artificial Intelligence, Fundamentals and skills
21

Scopus Publications

660

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Would students accept virtual agents for academic advising? A fit, viability, and risk perspective
    Samar Ibrahim, Ghazala Bilquise, Sa’Ed M. Salhieh
    Interactive Technology and Smart Education, 2026
    Purpose The use of service-oriented artificial intelligence-powered virtual agents (VAs) in higher education is expanding, particularly in academic advising. However, their adoption is hindered by challenges such as a lack of transparency, trust, system capability and organisational readiness. This study aims to investigate the factors influencing students’ behavioural intention to adopt academic advising VAs in Higher education. Design/methodology/approach This study applies an extended Fit–Viability Model (FVM) to investigate the fit requirements and viability of the advising VA system. The model incorporates perceived risk as a key predictor and examines the moderating role of demographic variables for this model. Survey data were collected from 239 students and analysed using partial least squares structural equation modelling to test the extended FVM framework. Findings The findings showed that both perceived fit and perceived risk significantly impact students’ behavioural intention to use advising VAs. Moreover, the study revealed that gender influences the relationship between risk and student intention, highlighting demographic influences on adoption. Practical implications This study provides practical implications for academic institutions seeking to enhance student adoption of advising VAs by addressing system fit and risk concerns. Theoretically, it contributes to adoption research by extending the FVM model with risk considerations and demographic moderators, offering a more comprehensive framework for future studies. Originality/value Unlike prior academic advising studies that rely primarily on acceptance-based models, this study extends the FVM by incorporating perceived risk and demographic moderators.
  • Beyond ChatGPT: Benchmarking speech-recognition chatbots for language learning using a novel decision-making framework
    Samar Ibrahim, Ghazala Bilquise
    Education and Information Technologies, 2025
  • Ensuring Consistency in Group Decision Making: A Systematic Review of the FWZIC Method
    Ghazala Bilquise, Samar Ibrahim
    International Journal of Advanced Computer Science and Applications, 2025
    Subjective opinions in decision-making processes are often vague, ambiguous, and imprecise due to the inherent subjectivity and variability in individual perspectives. This systematic study examines the Fuzzy Weighted Zero Inconsistency (FWZIC) method, which addresses these challenges by achieving consistency in group consensus and effectively managing uncertainties associated with subjective human opinions. The FWZIC method is increasingly popular in the Multi-Criteria Decision Making (MCDM) field for determining criteria weights. This study comprehensively analyzes 71 empirical studies published from 2021 to March 2025, employing the FWZIC method across diverse domains such as healthcare, engineering, and supply chain. By categorizing FWZIC literature based on themes and domains, this study reveals a taxonomy of the latest techniques and methods integrated with FWZIC. It also explores fuzzy extensions and integrated MCDM methods, providing researchers with a summary of suitable techniques for various contexts. By systematically synthesizing findings, this study provides a comprehensive overview of the current state of FWZIC applications in the literature, identifies gaps and suggests potential avenues for future research in the MCDM domain.
  • Exploring the Adoption of Virtual Advising Agents in Higher Education: A Multi-Campus Case Study
    Samar Ibrahim, Ghazala Bilquise
    2025 10th International Conference on Information Technology Trends Itt 2025, 2025
    Virtual Advising Agents (VAAs) have recently emerged as intelligent, AI-powered tools in higher education, offering personalized advising, guidance, and support to students across campuses. Leveraging natural language processing, machine learning, and predictive analytics, VAAs promise to improve decision-making, enhance student engagement, and enable trust-based advising. This paper provides a conceptual, exploratory study of VAA implementation in a multi-campus university. It draws on a bibliometric analysis of literature and preliminary stakeholder insights from the international university to examine potential adoption of VAAs. It also highlights the likely benefits of integrating VAAs for supporting students, while also identifying barriers, including data privacy, transparency, institutional readiness, and student-faculty acceptance. To address these challenges, the paper proposes potential solutions and a phased roadmap for implementation. The outcomes of this study offer practical insights for universities considering VAAs as part of their digital advising transformation.
  • A Comprehensive Review of Virtual Commerce Applications for the Metaverse: Open Issues, Challenges and Recommended Solution for Benchmarking
    Ghazala Bilquise, Khaled Shaalan, Manar AlKhatib
    International Journal of Human Computer Interaction, 2025
  • Enhancing Course Performance Reports: Leveraging ChatGPT for Comprehensive Data Analysis
    Ghazala Bilquise, Sharmila Siddartha, Munther AlHassan, Bindu Sunil, Lama Al Ibaisi
    Communications in Computer and Information Science, 2025
  • Integrating ARAS with PyFWZIC to evaluate and benchmark patient-facing genetic services digital tools
    Ghazala Bilquise, Samar Ibrahim
    Neural Computing and Applications, 2024
  • Investigating student acceptance of an academic advising chatbot in higher education institutions
    Ghazala Bilquise, Samar Ibrahim, Sa’Ed M. Salhieh
    Education and Information Technologies, 2024
  • Optimizing Email Spam Detection in Academic Environments: A Machine Learning Approach
    Ja’Far Alqatawna, Ghazala Bilquise, Ala’ M. Al-Zoubi
    Proceedings 2024 International Conference on Artificial Intelligence Metaverse and Cybersecurity Icamac 2024, 2024
    In the digital age, spam detection remains a critical challenge, particularly in educational environments where the nature and volume of communication differ significantly from other domains. The increasing frequency and sophistication of email-based hacking attacks pose significant security threats to academic institutions. This paper presents an approach to detecting spam in an educational context using machine learning algorithms. By leveraging a dataset collected from an academic institution, we highlight the unique characteristics of academic communication and their implications for spam detection. Our methodology involves a comprehensive feature selection technique to identify the most relevant attributes for effective spam filtering. To address the imbalance in the dataset, class balancing techniques are employed, ensuring the machine learning models are trained on a representative distribution of spam and non-spam messages. The impact of feature selection on the classification of spam emails is investigated using five machine learning algorithms. Evaluation of the classifiers determines the most effective approach for classification of spam emails in the educational context. The experimental results demonstrate that our approach achieves remarkable accuracy, with the Random Forest classifier reaching up to $\mathbf{9 9. 9 \%}$ accuracy. This high level of precision underscores the potential of tailored machine learning solutions in educational spam detection and sets a benchmark for future research in this area.
  • A Systematic Review of Virtual Commerce Solutions for the Metaverse
    Ghazala Bilquise, Khaled Shaalan, Manar Alkhatib
    International Journal of Advanced Computer Science and Applications, 2024
    The metaverse, a rapidly evolving field, promises to transform online shopping through immersive technologies. This systematic review aims to explore and analyze the key design features of Virtual Commerce (v-commerce) solutions within this digital environment. By examining 24 studies that have developed immersive v-commerce applications, this review seeks to compile a taxonomy of essential design attributes necessary for creating effective and engaging v-commerce experiences. The review classifies these attributes into three primary dimensions: Product, Intelligent Services, and Functionality. The findings indicate that within the Augmented Reality (AR) category, product visualization and natural interaction were the most studied attributes. In the Virtual Reality (VR) category, intuitive affordances emerged as the most frequently investigated features. Meanwhile, Mixed Reality (MR) studies commonly focused on information quality, intuitive affordances, and shopping assistants. The insights from this review provide valuable guidance for researchers, developers, and practitioners aiming to enhance consumer engagement and satisfaction in the metaverse through well-designed v-commerce applications. By synthesizing the results of various studies, this review offers a comprehensive overview of the current state of v-commerce research, identifies existing gaps, and proposes potential directions for future development in the field.
  • Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach
    Ghazala Bilquise, Khaled Shaalan, Manar AlKhatib
    Human Behavior and Emerging Technologies, 2024
  • Agent-Based Simulations for Aircraft Boarding: A Critical Review
    Thaeer Kobbaey, Ghazala Bilquise
    Lecture Notes in Networks and Systems, 2023
  • Critical Success Factors of Knowledge Management in Higher Education: A Systematic Review
    Ghazala Bilquise, Khaled Shaalan
    Lecture Notes in Networks and Systems, 2023
  • A Comparative Evaluation of Airplane Boarding Strategies with a Novel Method for Sustainable Air Travel
    Thaeer Kobbaey, Ghazala Bilquise, Ahmad Ali Naqi
    2023 9th International Conference on Information Technology Trends Itt 2023, 2023
  • RECOMMENDING COLLEGE PROGRAMS TO STUDENTS USING MACHINE LEARNING
    Journal of Theoretical and Applied Information Technology, 2022
  • AI-based Academic Advising Framework: A Knowledge Management Perspective
    Ghazala Bilquise, Khaled Shaalan
    International Journal of Advanced Computer Science and Applications, 2022
  • Emotionally Intelligent Chatbots: A Systematic Literature Review
    Ghazala Bilquise, Samar Ibrahim, Khaled Shaalan
    Human Behavior and Emerging Technologies, 2022
  • Bilingual AI-Driven Chatbot for Academic Advising
    Ghazala Bilquise, Samar Ibrahim, Khaled Shaalan
    International Journal of Advanced Computer Science and Applications, 2022
  • A Blockchain-based Vaccination Model for COVID-19 and Other Infectious Diseases
    Thaeer Kobbaey, Ghazala Bilquise, Ja'far Alqatawna, Osama Dashti
    8th International Conference on Information Technology Trends Industry 4 0 Technology Trends and Solutions Itt 2022, 2022
  • Predicting Student Retention Among a Homogeneous Population Using Data Mining
    Ghazala Bilquise, Sherief Abdallah, Thaeer Kobbaey
    Studies in Big Data, 2021
  • Predicting Student Retention Among a Homogeneous Population Using Data Mining
    Ghazala Bilquise, Sherief Abdallah, Thaeer Kobbaey
    Advances in Intelligent Systems and Computing, 2020

RECENT SCHOLAR PUBLICATIONS

  • Would students accept virtual agents for academic advising? A fit, viability, and risk perspective
    S Ibrahim, G Bilquise, SEM Salhieh
    Interactive Technology and Smart Education 23 (2), 374-407 , 2026
    2026
  • A comprehensive review of virtual commerce applications for the metaverse: Open issues, challenges and recommended solution for benchmarking
    G Bilquise, K Shaalan, M AlKhatib
    International Journal of Human–Computer Interaction 41 (24), 15700-15726 , 2025
    2025
    Citations: 5
  • Exploring the Adoption of Virtual Advising Agents in Higher Education: A Multi-Campus Case Study
    S Ibrahim, G Bilquise
    2025 10th International Conference on Information Technology Trends (ITT … , 2025
    2025
  • Beyond ChatGPT: Benchmarking speech-recognition chatbots for language learning using a novel decision-making framework
    S Ibrahim, G Bilquise
    Education and Information Technologies 30 (8), 11151-11183 , 2025
    2025
    Citations: 7
  • A Hybrid Decision Analysis Approach for Selecting Intelligent Language Tutors
    S Ibrahim, G Bilqise, L Al Ibaisi
    2025 3rd International Conference on Business Analytics for Technology and … , 2025
    2025
  • Leveraging ChatGPT for Comprehensive Data Analysis
    D Ghazala Bilquise, S Siddartha, M AlHassan, B Sunil
    Intelligent Computing Systems: 5th International Symposium, ISICS 2024 … , 2025
    2025
  • Optimizing Email Spam Detection in Academic Environments: A Machine Learning Approach
    J Alqatawna, G Bilquise, A M. Al-Zoubi
    2024 International Conference on Artificial Intelligence, Metaverse and … , 2025
    2025
    Citations: 3
  • Ensuring Consistency in Group Decision Making: A Systematic Review of the FWZIC Method
    G Bilquise, S Ibrahim
    International Journal of Advanced Computer Science and Applications 16 (6 … , 2025
    2025
  • Enhancing Course Performance Reports: Leveraging ChatGPT for Comprehensive Data Analysis
    G Bilquise, S Siddartha, M AlHassan, B Sunil, L Al Ibaisi
    International Symposium on Intelligent Computing Systems, 331-345 , 2024
    2024
  • Integrating ARAS with PyFWZIC to evaluate and benchmark patient-facing genetic services digital tools
    G Bilquise, S Ibrahim
    Neural Computing and Applications 36 (29), 18201-18222 , 2024
    2024
    Citations: 3
  • Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach
    G Bilquise, K Shaalan, M Alkhatib
    Human Behavior and Emerging Technologies 2024 (1) , 2024
    2024
    Citations: 8
  • Investigating student acceptance of an academic advising chatbot in higher education institutions
    G Bilquise, S Ibrahim, SEM Salhieh
    Education and Information Technologies 29 (5), 6357-6382 , 2024
    2024
    Citations: 231
  • A Systematic Review of Virtual Commerce Solutions for the Metaverse
    G Bilquise, K Shaalan, M Alkhatib
    International Journal of Advanced Computer Science and Applications (IJACSA … , 2024
    2024
    Citations: 4
  • A comparative evaluation of airplane boarding strategies with a novel method for sustainable air travel
    T Kobbaey, G Bilquise, AA Naqi
    2023 9th International Conference on Information Technology Trends (ITT … , 2023
    2023
    Citations: 4
  • Critical Success Factors of Knowledge Management in Higher Education: A Systematic Review
    G Bilquise, K Shaalan
    International Conference on Emerging Technologies and Intelligent Systems … , 2023
    2023
    Citations: 4
  • Object-Oriented Programming in Python
    G Bilquise, T Kobbaey, OK Xanthidou
    Handbook of Computer Programming with Python, 59-105 , 2022
    2022
  • Data structures and algorithms with python
    T Kobbaey, D Xanthidis, G Bilquise
    Handbook of Computer Programming with Python, 207-272 , 2022
    2022
    Citations: 3
  • RECOMMENDING COLLEGE PROGRAMS TO STUDENTS USING MACHINE LEARNING
    AGF Allah, G Bilquise
    Journal of Theoretical and Applied Information Technology 100 (19), 5801-5812 , 2022
    2022
    Citations: 2
  • Agent-Based Simulations for Aircraft Boarding: A Critical Review
    T Kobbaey, G Bilquise
    International Conference on Emerging Technologies and Intelligent Systems, 42-52 , 2022
    2022
    Citations: 4
  • A blockchain-based vaccination model for COVID-19 and other infectious diseases
    T Kobbaey, G Bilquise, J Alqatawna, O Dashti
    2022 8th International Conference on Information Technology Trends (ITT … , 2022
    2022
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Investigating student acceptance of an academic advising chatbot in higher education institutions
    G Bilquise, S Ibrahim, SEM Salhieh
    Education and Information Technologies 29 (5), 6357-6382 , 2024
    2024
    Citations: 231
  • Emotionally intelligent chatbots: A systematic literature review
    G Bilquise, S Ibrahim, K Shaalan
    Human Behavior and Emerging Technologies 2022 (1), 9601630 , 2022
    2022
    Citations: 221
  • AI-based Academic Advising Framework: A Knowledge Management Perspective
    G Bilquise, K Shaalan
    International Journal of Advanced Computer Science and Applications (IJACSA … , 2022
    2022
    Citations: 76
  • Bilingual AI-Driven Chatbot for Academic Advising
    G Bilquise, S Ibrahim, K Shaalan
    International Journal of Advanced Computer Science and Applications (IJACSA … , 2022
    2022
    Citations: 54
  • Predicting student retention among a homogeneous population using data mining
    G Bilquise, S Abdallah, T Kobbaey
    International Conference on Advanced Intelligent Systems and Informatics, 35-46 , 2019
    2019
    Citations: 13
  • Emotionally Intelligent Chatbots: A Systematic Literature Review. Human Behavior and Emerging Technologies, 2022, 1–23
    G Bilquise, S Ibrahim, K Shaalan
    2022
    Citations: 11
  • Evaluation of Virtual Commerce Applications for the Metaverse Using Spherical Linear Diophantine-Based Modeling Approach
    G Bilquise, K Shaalan, M Alkhatib
    Human Behavior and Emerging Technologies 2024 (1) , 2024
    2024
    Citations: 8
  • Beyond ChatGPT: Benchmarking speech-recognition chatbots for language learning using a novel decision-making framework
    S Ibrahim, G Bilquise
    Education and Information Technologies 30 (8), 11151-11183 , 2025
    2025
    Citations: 7
  • A comprehensive review of virtual commerce applications for the metaverse: Open issues, challenges and recommended solution for benchmarking
    G Bilquise, K Shaalan, M AlKhatib
    International Journal of Human–Computer Interaction 41 (24), 15700-15726 , 2025
    2025
    Citations: 5
  • A Systematic Review of Virtual Commerce Solutions for the Metaverse
    G Bilquise, K Shaalan, M Alkhatib
    International Journal of Advanced Computer Science and Applications (IJACSA … , 2024
    2024
    Citations: 4
  • A comparative evaluation of airplane boarding strategies with a novel method for sustainable air travel
    T Kobbaey, G Bilquise, AA Naqi
    2023 9th International Conference on Information Technology Trends (ITT … , 2023
    2023
    Citations: 4
  • Critical Success Factors of Knowledge Management in Higher Education: A Systematic Review
    G Bilquise, K Shaalan
    International Conference on Emerging Technologies and Intelligent Systems … , 2023
    2023
    Citations: 4
  • Agent-Based Simulations for Aircraft Boarding: A Critical Review
    T Kobbaey, G Bilquise
    International Conference on Emerging Technologies and Intelligent Systems, 42-52 , 2022
    2022
    Citations: 4
  • Predicting student retention among a homogeneous population using data mining
    G Bilquise, S Abdallah, T Kobbaey
    Machine Learning and Big Data Analytics Paradigms: Analysis, Applications … , 2020
    2020
    Citations: 4
  • Optimizing Email Spam Detection in Academic Environments: A Machine Learning Approach
    J Alqatawna, G Bilquise, A M. Al-Zoubi
    2024 International Conference on Artificial Intelligence, Metaverse and … , 2025
    2025
    Citations: 3
  • Integrating ARAS with PyFWZIC to evaluate and benchmark patient-facing genetic services digital tools
    G Bilquise, S Ibrahim
    Neural Computing and Applications 36 (29), 18201-18222 , 2024
    2024
    Citations: 3
  • Data structures and algorithms with python
    T Kobbaey, D Xanthidis, G Bilquise
    Handbook of Computer Programming with Python, 207-272 , 2022
    2022
    Citations: 3
  • A blockchain-based vaccination model for COVID-19 and other infectious diseases
    T Kobbaey, G Bilquise, J Alqatawna, O Dashti
    2022 8th International Conference on Information Technology Trends (ITT … , 2022
    2022
    Citations: 3
  • RECOMMENDING COLLEGE PROGRAMS TO STUDENTS USING MACHINE LEARNING
    AGF Allah, G Bilquise
    Journal of Theoretical and Applied Information Technology 100 (19), 5801-5812 , 2022
    2022
    Citations: 2
  • Would students accept virtual agents for academic advising? A fit, viability, and risk perspective
    S Ibrahim, G Bilquise, SEM Salhieh
    Interactive Technology and Smart Education 23 (2), 374-407 , 2026
    2026