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Рад:

Radosavljevic, V, Radosavljevic, S. & Jelic, G. (2019). Smart Classroom Environmental Parameters As A Parameter Of Adaptive Learning. PEOPLE: International Journal of Social Sciences, 5(2), 680-699. doi:10.20319/pijss.2019.52.680699

је цитиран у:

1. Noni, N. S. B., Zubin S. H. B. S., & binti Othman, N. A. (2024). Unlocking Potential: Smart Classroom Paradigms and Their Impact on Students' Metacognitive Development in Mathematics, 2024 10th International Conference on Education and Technology (ICET), Malang, Indonesia, 2024, pp. 14-19, doi: 10.1109/ICET64717.2024.10778462
2. Çelik, M., Didikoğlu, A., & Kazanasmaz, T. (2024). Optimizing lighting design in educational settings for enhanced cognitive performance: A literature review. Energy and Buildings, 115180. https://doi.org/10.1016/j.enbuild.2024.115180
3. Terzieva, V., Ilchev, S., & Djambazova, E. (2024). Integrated Intelligent Educational Environment – Opportunities for STEM Education. IFAC-PapersOnLine, 58(3), 94–99. https://doi.org/10.1016/j.ifacol.2024.07.132
4. Terzieva, V., Ilchev, S., & Todorova, K. (2022). The Role of Internet of Things in Smart Education. IFAC-Papersonline, 55(11), 108-113. doi: 10.1016/j.ifacol.2022.08.057
5. Terzieva, V., Ilchev, S., Todorova, K., & Andreev, R. (2021). Towards a Design of an Intelligent Educational System. IFAC-Papersonline, 54(13), 363-368. doi: 10.1016/j.ifacol.2021.10.474

Рад:

Radosavljevic, V, Radosavljevic, S. & Jelić G. (2020). Ambient Intelligence-Based Smart Classroom Model. Interactive Learning Environments. 30(2), 307-321 doi: 10.1080/10494820.2019.1652836 IF 5.4 (M21a)

је цитиран у:

1. Zhang, Z. (2024). Intelligent Learning Environment: intelligent monitoring system for intelligent classroom management. Proceedings of the 7th International Conference on Cyber Security and Information Engineering, 535–541. https://doi.org/10.1145/3689236.3689284
2. Wang, X. (2024). Construction and application of a high-quality smart classroom education simulation platform in a cloud system environment. Service Oriented Computing and Applications. https://doi.org/10.1007/s11761-024-00424-9
3. Nükhet Hotar, Baran, B., Ayça Tokuç, Esra Bukova Güzel, Ferit Serkan Akdoğan, Emre Karagöz, Lütfiye Özge Güney, Cem Yıldız, Şirin Nur Yacı, Deniz Eraslan, Aylin Dizdaroğlu, Seda Nur Apdik, Murat Tanaslan, & Özgür Bozdağ. (2024). Designing Adaptive Learning Space by Integrating Technology to a Sustainable Classroom. Advances in Educational Technologies and Instructional Design Book Series, 126–163. https://doi.org/10.4018/979-8-3693-3641-0.ch006
4. Feng, L., & Ji, Y. (2024). Learners Behaviour Prediction and Analysis Model for Smart Learning Platform using Deep Learning Approach. Scalable Computing Practice and Experience, 25(5), 3876–3885. https://doi.org/10.12694/scpe.v25i5.3026
5. Izadpanah, S. (2024) Evaluating the impac of smart technology on academic eagerness, academic seriousness, and academic performance in elementary english language learners as a foreign language. PLoS ONE 19(5): e0300147. https://doi.org/10.1371/journal.pone.0300147
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7. Córdoba-Tlaxcalteco, M.L. and Benítez-Guerrero, E. (2023) ‘Human event recognition in Smart Classrooms Using Computer Vision: A systematic literature review’, Programming and Computer Software, 49(8), pp. 625–642. doi:10.1134/s0361768823080066
8. Izadpanah, S. (2024) ‘Evaluating the impact of smart technology on academic eagerness, academic seriousness, and academic performance in elementary English language learners as a foreign language’, PLOS ONE, 19(5). doi:10.1371/journal.pone.0300147.
9. Zhang, L., Pan, R., Qin, Z., & Yang, J. (2024a). A systematic review and research trends of Smart Learning Environments. Envisioning the Future of Education Through Design, 267–290. https://doi.org/10.1007/978-981-97-0076-9_12
10. De Ruyter, B. et al. (2024) ‘Ambient intelligence’, Handbook of Human Computer Interaction, pp. 1–32. doi:10.1007/978-3-319-27648-9_32-1.
11. Córdoba-Tlaxcalteco, M.L., Benítez-Guerrero, E. Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review. Program Comput Soft 49, 625–642 (2023). https://doi.org/10.1134/S0361768823080066
12. Saadé, R. et al. (2023). Challenges and Opportunities in the Internet of Intelligence of Things in Higher Education—Towards Bridging Theory and Practice. IoT. 4. 430-465. 10.3390/iot4030019
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23. Gan, W., Dao, M., Zettsu, K., & Sun, Y. (2022). IoT-based Multimodal Analysis for Smart Education: Current Status, Challenges and Opportunities. Proceedings Of The 3Rd ACM Workshop On Intelligent Cross-Data Analysis And Retrieval. doi: 10.1145/3512731.3534208
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Рад:

Radosavljevic, V, Radosavljevic, S. & Jelić G. (2019). A MODEL OF ADAPTIVE LEARNING IN SMART CLASSROOMS BASED ON THE LEARNING STRATEGIES. PEOPLE: International Journal Of Social Sciences, 5(2), 662-679. doi: 10.20319/pijss.2019.52.662679

је цитиран у:

1. Unciti, O. and Palau, R. (2023) ‘Teacher decision making tool: Development of a prototype to facilitate teacher decision making in the classroom’, Journal of Technology and Science Education, 13(3), p. 740. doi:10.3926/jotse.1801
2. Wong, B., & Li, K. (2021). The Benefits and Challenges of Smart Learning: A Literature Review. 2021 International Symposium On Educational Technology (ISET). doi: 10.1109/iset52350.2021.00041
3. Alfoudari, A., Durugbo, C., & Aldhmour, F. (2021). Understanding socio-technological challenges of smart classrooms using a systematic review. Computers & Education, 173, 104282. doi: 10.1016/j.compedu.2021.104282
4. Chen, X., Zou, D., Xie, H., & Wang, F. (2021). Past, present, and future of smart learning: a topic-based bibliometric analysis. International Journal Of Educational Technology In Higher Education, 18(1). doi: 10.1186/s41239-020-00239-6
5. محمد لطفي هدايت, م. (2020). أنظمة التعلم الذكية المتكيفة: مسح منهجي لبيئة الحوسبة في كل مكان. Journal Of King Abdulaziz University Computing And Information Technology Sciences, 9(1), 65-81. doi: 10.4197/comp.9-1.5 (prev: Mohamed Lotfi Hidaiat, inž. (2020). Prilagodljivi inteligentni sistemi učenja: sistematsko istraživanje sveprisutnog računarskog okruženja)
6. Dai, Z., Wang, M., & Liu, F. (2020). Research on Evaluation of Smart Learning Environment in Universities Based on AHP-FCE: A Case Study of Central China Normal University. Lecture Notes In Computer Science, 317-327. doi: 10.1007/978-3-030-63885-6_36
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   2. Smaili, E., Sraidi, S., Azzouzi, S., & Charaf, M. (2021). Towards Sustainable e-Learning Systems Using an Adaptive Learning Approach. Emerging Trends In ICT For Sustainable Development, 365-372. doi: 10.1007/978-3-030-53440-0_38
   3. El Miloud, S., Soukaina, S., Salma, A., & El Hassan, C. (2020). An Adaptive Learning Approach for Better Retention of Learners in MOOCs. Proceedings Of The 3Rd International Conference On Networking, Information Systems & Security. doi: 10.1145/3386723.3387845