Open Access
Issue
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
Article Number 04013
Number of page(s) 8
Section Transactions
DOI https://doi.org/10.1051/itmconf/20246904013
Published online 13 December 2024
  1. El Gourari, A., Raoufi, M., & Skouri, M. (2021). Adaptation of remote practical works with smart electronic platform based on artificial intelligence. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 46, 205–210. [CrossRef] [Google Scholar]
  2. M. Chen et al., “Morocco : The Role of Smart Digital Platforms in Supporting Remote Practical Works in the Light of the Spread of the COVID- 19 Crisis 8,” 2023, pp. 271–282. doi: http://dx.doi.org/10.1007/978-981-99-6269-3. [Google Scholar]
  3. M. Li, X. Han, and J. Cheng, Handbook of Educational Reform Through Blended Learning. 2023. doi: 10.1007/978-981-99-6269-3. [Google Scholar]
  4. El Gourari, A., Skouri, M., Raoufi, M., & Ouatik, F. (2020, December). The future of the transition to E-learning and distance learning using artificial intelligence. In 2020 Sixth International Conference on e-Learning (eeictnf) (pp. 279–284). IEEE. [Google Scholar]
  5. A. Manchanda, “Constructing Reality: A Study of Remote, Hands-On, and Simulated Laboratories,” Qual. Prog., vol. 52, no. 6, pp. 27–35, 2019, doi: 10.1145/1275511.1275513. [Google Scholar]
  6. F. Ouatik et al., “E-learning & decision making system for automate students assessment using remote laboratory and machine learning,” J. ELearning Knowl. Soc., vol. 17, no. 1, pp. 90–100, 2021, doi: 10.20368/1971-8829/1135285. [Google Scholar]
  7. F. Ouatik, M. Raoufi, M. El Mohadab, F. Ouatik, B. Bouikhalene, and M. Skouri, “Modeling collaborative practical work processes in an elearning context of engineering electric education,” Indones. J. Electr. Eng. Comput. Sci., vol. 16, no. 3, pp. 1464–1473, 2019, doi: 10.11591/ijeecs.v16.i3.pp1464-1473. [Google Scholar]
  8. J. E. Corter, J. V. Nickerson, S. K. Esche, and C. Chassapis, “Remote versus hands-on labs: A comparative study,” Proc. - Front. Educ. Conf. FIE, vol. 2, pp. 17–21, 2004, doi: 10.1109/fie.2004.1408586. [Google Scholar]
  9. S. C.-Y. Yuen, G. Yaoyuneyong, and E. Johnson, “Augmented Reality: An Overview and Five Directions for AR in Education,” J. Educ. Technol. Dev. Exch., vol. 4, no. 1, pp. 119–140, 2011, doi: 10.18785/jetde.0401.10. [Google Scholar]
  10. A. U. S. Veena Tewari, Mujibur Rahman, Amitabh Mishra, K. K. Bajaj, “Impact of Virtual Reality (Vr) and Augmented Reality (Ar) in Education,” Tuijin Jishu/Journal Propuls. Technol., vol. 44, no. 4, pp. 1310–1318, 2023, doi: 10.52783/tjjpt.v44.i4.1014. [Google Scholar]
  11. G. Sun, T. Cui, J. Yong, J. Shen, and S. Chen, “MLaaS: A Cloud-Based System for Delivering Adaptive Micro Learning in Mobile MOOC Learning,” IEEE Trans. Serv. Comput., vol. 11, no. 2, pp. 292–305, 2018, doi: 10.1109/TSC.2015.2473854. [Google Scholar]
  12. E. Luca, “Transforming Education with AI: Cloud-Based Personalized Learning and Data Protection Strategies,” no. June 2023, 2024, doi: 10.13140/RG.2.2.31739.32800. [Google Scholar]
  13. A. Mavroudi, M. Giannakos, and J. Krogstie, “Supporting adaptive learning pathways through the use of learning analytics: developments, challenges and future opportunities,” Interact. Learn. Environ., vol. 26, no. 2, pp. 206–220, 2018, doi: 10.1080/10494820.2017.1292531. [Google Scholar]
  14. X. H. Jia and J. C. Tu, “Towards a New Conceptual Model of AI-Enhanced Learning for College Students: The Roles of Artificial Intelligence Capabilities, General Self-Efficacy, Learning Motivation, and Critical Thinking Awareness,” Systems, vol. 12, no. 3, 2024, doi: 10.3390/systems12030074. [Google Scholar]
  15. C. Troussas, A. Krouska, and M. Virvou, Using a multi module model for learning analytics to predict learners’ cognitive states and provide tailored learning pathways and assessment, vol. 158. Springer International Publishing, 2020. doi: 10.1007/978-3-030-13743-4_2. [Google Scholar]
  16. N. I. Callaghan et al., “Discovery: Virtual Implementation of Inquiry-Based Remote Learning for Secondary STEM Students During the COVID-19 Pandemic,” Biomed. Eng. Educ., vol. 1, no. 1, pp. 87–94, 2021, doi: 10.1007/s43683-020-00014-z. [Google Scholar]
  17. S. H. Sung, C. Li, X. Huang, and C. Xie, “Enhancing distance learning of science— Impacts of remote labs 2.0 on students’ behavioural and cognitive engagement,” J. Comput. Assist. Learn., vol. 37, no. 6, pp. 1606–1621, 2021, doi: 10.1111/jcal.12600. [Google Scholar]
  18. S. Al-Janabi and I. Al-Shourbaji, “A Study of Cyber Security Awareness in Educational Environment in the Middle East,” J. Inf. Knowl. Manag., vol. 15, no. 1, 2016, doi: 10.1142/S0219649216500076. [Google Scholar]
  19. P. J. Sun, “Privacy Protection and Data Security in Cloud Computing: A Survey, Challenges, and Solutions,” IEEE Access, vol. 7, pp. 147420–147452, 2019, doi: 10.1109/ACCESS.2019.2946185. [CrossRef] [Google Scholar]
  20. El Gourari, A., Ait Ben Braim, A., Raoufi, M., & Skouri, M. (2023). Development of Teaching Methods Using Artificial Intelligence Techniques. In Interactive Mobile Communication, Technologies and Learning (pp. 342–354). Cham: Springer Nature Switzerland. Springer, Cham, pp. 342-354, 2024. doi: https://doi.org/10.1007/978-3-031-56075-0_33. [Google Scholar]
  21. El Gourari, A., Raoufi, M., & Skouri, M. (2022). Formulating quizzes questions using artificial intelligent techniques. In Networking, Intelligent Systems and Security: Proceedings of NISS 2021 (pp. 535–547). Springer Singapore. [CrossRef] [Google Scholar]
  22. Gourari, A. E., Raoufi, M., & Skouri, M. (2022). Impact of Using Smart Learning Platforms in Elearning on Student Achievement. In Pedagogy, Didactics and Educational Technologies: Research Experiences and Outcomes in Enhanced Learning and Teaching at Cadi Ayyad University (pp. 127–139). Singapore: Springer Nature Singapore. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.