Abu Khutwa, S. A. (2022). Applications of artificial intelligence in education and their implications for educational technology research. The Scientific Journal of the Egyptian Society for Educational Computing, 10(2), 145–161.
Harasim, L., & Al-Atiyawi, S. (2020). Learning theories and their applications in e-learning. Journal of Educational Sciences, 32(2), 415–421.
Khamis, M. A. (2007). Educational computers and multimedia technologies. Cairo: Al-Sahab Publishing and Distribution.
Khamis, M. A. (2020). Modern trends in educational technology and research areas (Part 1). Cairo: The Arab Academic Center for Publishing and Distribution.
Al-Dosari, S. A., & Al-Mesaed, A. Z. (2019). The impact of interactive video on academic achievement among first-year secondary school students. The International Journal of Educational Research, 43(2), 153–179.
Al-Zaabout, S. E. (2021). Artificial intelligence: An educational approach from the perspective of literature and theories explaining artificial intelligence. The 12th International Scientific Conference.
Saad El-Din, M. (2024). The interaction between navigation level in e-training environments and cognitive style and its impact on developing technological thinking skills and the components of digital culture among graduate students. Educational Technology - Studies and Research, 137–194.
Daher, M., Heikal, S., & Salem, M. M. (2022). Requirements for employing artificial intelligence applications in pre-university education in Egypt. Journal of Education, 196(5), 317–368.
Al-Dowayan, M., & Fathy, A. (2019). The impact of different e-training styles (synchronous vs. asynchronous) on developing e-assessment design skills among secondary school teachers. Reading and Knowledge Journal: Ain Shams University - Faculty of Education - Egyptian Society for Reading and Knowledge, 209, 151–215.
Abdel-Hamid, A. T. (2014). E-learning and educational technology innovations. Cairo: Al-Asriya Library for Publishing and Distribution.
Abdel-Hafiz, S. S., Mohamed, A. R. K., & Farjoun, K. M. (2019). The impact of the interaction between the hyperlink style within online hypervideo and cognitive style on developing social communication skills among middle school students. Fayoum University Journal of Educational and Psychological Sciences, 13(2), 69–100.
Abdel-Aty, H. (2009). Standards for electronic educational discussion forums. Informatics Journal, 25. Ministry of Education, Saudi Arabia.
Azmi, N. J. (2018). Learning environments: Hyperlearning environments. Al-Huda Publishing and Distribution.
Al-Enezi, M. M., & Al-Otaibi, S. E. (2018). The use of blended learning in technical and vocational training from the perspective of female trainers at the Technical College for Girls in Riyadh. Arab Studies in Education and Psychology, 101, 165–189.
Al-Ghamdi, S., & Al-Frani, L. (2020). The reality of using artificial intelligence applications in special education schools in Jeddah from the perspective of female teachers and their attitudes towards them. The International Journal of Educational and Psychological Studies, 8(1), 57–76.
Mishaal, M., & Al-Eid, N. (2023). The reality of employing artificial intelligence applications in early childhood education from the perspective of female teachers in Shaqra Governorate, Saudi Arabia. Journal of Education, 198, 434–478.
Al-Yamahi, M. K. (2021). Artificial intelligence and education. Teacher’s Message, 57(1–2), 35–44.
Younis, S. S. (2022). The impact of the interaction between interactive infographic styles and mental capacity level on developing digital video production skills among secondary school teachers. Journal of Education, 193(1), 77–128.
المراجع الأجنبية:
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., … Zhang, Y. (2020). Language models are unsupervised multitask learners. arXiv preprint arXiv:2005.14165.
Cattaneo, Alberto A. P, van der Meij, Hans, Aprea, Carmela, Sauli, Florinda, & Zahn, Carmen. (2019). A model for designing hypervideo-based instructional scenarios. Interactive Learning Environments, 27(4), 508-529. doi:10.1080/10494820.2018.1486860
Cattaneo, Alberto A. P, van der Meij, Hans, Aprea, Carmela, Sauli, Florinda, & Zahn, Carmen. (2019). A model for designing hypervideo-based instructional scenarios. Interactive Learning Environments, 27(4), 508-529. doi:10.1080/10494820.2018.1486860
Cattaneo, Alberto A. P., van der Meij, Hans, & Sauli, Florinda. (2018). An Empirical Test of Three Instructional Scenarios for Hypervideo Use in a Vocational Education Lesson. Computers in the Schools, 35(4), 249-267. doi:10.1080/07380569.2018.1531597
Clark, Ruth C., & Mayer, Richard E. (2011). E-learning and the science of instruction: proven guidelines for consumers and designers of multimedia learning (3rd ed.): Wiley.
Creswell, J.W. (2012). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research: Pearson.
Giannakos, Michail N., Chorianopoulos, Konstantinos, & Chrisochoides, Nikos. (2021). Making Sense of Video Analytics: Lessons Learned from Clickstream Interactions, Attitudes, and Learning Outcome in a Video-Assisted Course. International Review of Research in Open and Distributed Learning, 16(1), 260-283. doi:https://doi.org/10.19173/irrodl.v16i1.1976
Gong, C., Jing, C., Chen, X., Pun, C.-M., Huang, G., Saha, A., et al. (2023). Generative AI for brain image computing and brain network computing: a review.
Frontiers in Neuroscience, 17.
https://consensus.app/papers/brain-image-computing-brain-network-computing-review-gong/f88a2a48e27f541b905a1e2b1d036c11/?utm_source=chatgpt.
Gong, C., Jing, C., Chen, X., Pun, C.-M., Huang, G., Saha, A., Nieuwoudt, M., Li, H.-X., Hu, Y., & Wang, S. (2023). Generative AI for brain image computing and brain network computing: A review.
Frontiers in Neuroscience, 17.
https://consensus.app/papers/brain-image-computing-brain-network-computing-review-gong/f88a2a48e27f541b905a1e2b1d036c11/?utm_source=chatgpt
Grilo, A. M., Ferreira, A. C., Ramos, M. P., Carolino, E., Pires, A. F., & Vieira, L. (2022). Effectiveness of educational videos on patient’s preparation for diagnostic procedures: Systematic review and Meta-Analysis. Preventive medicine reports, 28, 101895.
Herrington, Jan, Reeves, Thomas C., & Oliver, Ron. (2014) Authentic Learning Environments. In J. Michael Spector, M. David Merrill, Jan Elen, & M. J. Bishop (Eds.), Handbook of Research on Educational Communications and Technology (pp. 401-412). New York, NY: Springer New York.
Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001.
Iftikhar, P., Kuijpers, M. V., Khayyat, A., Iftikhar, A., & De Sa, M. D. (2020). Artificial intelligence: a new paradigm in obstetrics and gynecology research and clinical practice. Cureus, 12(2).
Köster, J. (2019). Video in the Age of Digital Learning: Springer International Publishing.
Landgrebe, J., & Smith, B. (2022). Why machines will never rule the world: artificial intelligence without fear. Routledge.
Mayer, Richard E, & Pilegard, Celeste. (2014). Principles for managing essential processing in multimedia learning: Segmenting, pretraining, and modality principles. In The Cambridge handbook of multimedia learning (pp. 169-182): Cambridge University Press.
Paivio, A. (2014). Mind and Its Evolution: A Dual Coding Theoretical Approach: Taylor & Francis.
Potter, C. & Naidoo, G.(2012). Teacher development through distance education: contrasting visions of radio learning in south african primary schools, In J. Moore & A. Benson (Ed.), International Perspectives Of Distance Learning In Higher education, (pp. 54-108), Croatia: InTech Janeza Trdine.
Radcliffe, T., Lockhart, E., & Wetherington, J. (2024). Automated prompt engineering for semantic vulnerabilities in large language models. Authorea Preprints.
Rios-Campos, C., Luzuriaga Viteri, J. D. C., Palma Batalla, E. A., Castro, J., Bautista Núñez, J., Vega Calderón, E., Gómez Nicacio, F. J., & Pretell Tello, M. Y. (2023). Generative artificial intelligence.
South Florida Journal of Development.
https://consensus.app/papers/artificial-intelligence-rioscampos/e003f660600658bb85cefc8397f3a90f/?utm_source=chatgpt
Sauli, Florinda, Cattaneo, Alberto, & van der Meij, Hans. (2018). Hypervideo for educational purposes: a literature review on a multifaceted technological tool. Technology, Pedagogy and Education, 27(1), 115-134. doi:10.1080/1475939X.2017.1407357
Schacter, Daniel L, & Szpunar, Karl K. (2015). Enhancing attention and memory during video-recorded lectures. Scholarship of Teaching and Learning in Psychology, 1(1), 60.
Shokrollahi, Y., Yarmohammadtoosky, S., Nikahd, M. M., Dong, P., Li, X., & Gu, L. (2023). A comprehensive review of generative AI in healthcare.
ArXiv.
https://consensus.app/papers/comprehensive-review-generative-healthcare-shokrollahi/268db7e186c155469a38d8fd8855acd0/?utm_source=chatgpt
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive Load Theory: Springer New York.
Taslibeyaz, Elif, Dursun, Onur Burak, & Karaman, Selcuk. (2017). Interactive video usage on autism spectrum disorder training in medical education. Interactive Learning Environments, 25(8), 1025-1034. doi:10.1080/10494820,2016,1242504
Xu, Z.; Li, J.; Topaz, M. ElCombo: Knowledge-Based Personalized Meal Recommendation System for Chinese Community-Dwelling Elders. In Proceedings of the 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI), Houston, TX, USA, 26–29 June 2023; pp. 478–479.
Zhou, C., McCarthy, S. A., & Durbin, R. (2023). YaHS: yet another Hi-C scaffolding tool. Bioinformatics, 39(1), btac808.