The investigation of the Effect of using E-learning in Database Course by using Moodle

1- Pucel, D., & Stertz, T. Effectiveness of and student satisfaction with web-based compared to traditional in-service teacher education courses. Journal of Industrial Teacher Education, 2005. 42(1), 7-23. Retrieved from Ebscohost database.

2- Lim, Jon and Karol, Johnathan : Student Achievement, Satisfaction and Instructional Delivery Modes, TRE- Systems,Miami, USA, 2002 .

3- Dougiamas, Martin and Taylor, Peter: Interpretive nalysis an internet-based course constructed using a new courseware tool called moodle, Curtin University of Technology, Perth,Australia,2001.

4- Yu.H and Jianbo. F. Design and Implementation of the Framework for Adaptive E-learning System. In Wang, Fu, Joseph Fong, Liming Zhang, and Victor Lee (Editors), Hybrid Learning and Education, Lecture Notes in Computer Science, volume 5685,2009, pages 140–149.

5- Fallon, Carol, Jeanne M. Dams, and Sharon Brown. E-learning Standards: A Guide to Purchasing, Developing, and Deploying Standards-Conformant E-Learning:First Edition. St Lucie Press,2002.

6- Varlamis ,.Koohang.A, and Ioannis .A. The Present and Future of Standardsfor E-learning Technologies. Interdisciplinary Journal of Knowledge and Learning Objects, 2006,p 2, 59–76

7- Kopecký, K. E-learning nejen pro pedagogy. Olomouc: Hanex,2006.

8- CBT. Czech Airlines,2009. Retrieved December 7, 2014 from

http://www.csa.cz/cs/posadky/pos_vycvik_posadek/pos_cbt.htm

9- Meerts, J. Course management systems (CMS),2003. Retrieved December 8, 2014 from http://net.educause.edu/ir/library/pdf/DEC0302.pdf

10- Meerts, J. Course management systems (CMS),2003. Retrieved December 8, 2014 from http://net.educause.edu/ir/library/pdf/DEC0302.pdf

11- Dalla, L. O. B., Karal, Ö., Degirmenci, A., EL-Sseid, M. A. M., Essgaer, M., & Alsharif, A. (2025). Edge Intelligence for Real-Time Image Recognition: A Lightweight Neural Scheduler Via Using Execution-Time Signatures on Heterogeneous Edge Devices. Scientific Journal for Publishing in Health Research and Technology, 74-85.‏

12- Mnyanyi, C. B. F., & Mbwette, T. S. A. Open and distance learning in professional development in third world countries. Paper presented at Maastricht‘s 23rd International Conference on Distance Education, 2009.

13- Hoven, K. A study on the potential of information and communication technologies in university education in Tanzania. A case study of the University of Dar es Salaam. Master of art thesis. The Netherlands: Nijmegen University,2000.

14- Joyce, B., & Showers, B. Student achievement through staff development: Fundamentals of school renewal (2nd ed.),1995. White Plains, NY: Longman.

15- Meyer-Peyton, L. Elements of a successful distributed learning program. In L. K. Lau (Ed.), Distance learning technologies: Issues, trends and opportunities. Hersey & London: IDEA Group Publishing,2002.

16- Paulson, J.W, Succi, G. and Eberlein, A. An Empirical Study of Open-Source and Closed-Source Software Products. IEEE Transactions on Software Engineering,2004. 30 (4), 246-256

17- GNU Licences Website. [Accessed: 20 August 2014]. Available at: https://gnu.org/licenses/gpl.html

18- Osman, M., Elghaffi, F., Dalla, L. B., Karal, Ö., & Rashid, T. (2026). A New Approach for Low-Latency, High-Accuracy Anomaly Detection at the Edge: Benchmarking Quantized Autoencoders, LSTMs, and Lightweight Transformers on RT-IoT2022 Time-Series Traffic. Wadi Alshatti University Journal of Pure and Applied Sciences, 110-121.‏

19- Aydin, C.C and Tirkes, G.S. Open Source Learning Management Systems in E-learning and Moodle. IEEE EDUCON Education Engineering,2010.p, 593-600.

20- Degirmenci, A., & Karal, O. (2022). Efficient density and cluster based incremental outlier detection in data streams. Information Sciences, 607, 901-920.‏

21- Kakasevski, G., Mihajlov, M., Arsenovski, S. and Chungurski, S. Evaluating Usability in Learning Management System Moodle. Proceedings of the ITI 2008 30th International Conference on Information Technology Interfaces,2008

22- Hatipoğlu, Ş., Belgrat, M. A., Degirmenci, A., & Karal, Ö. (2021, October). Prediction of unemployment rates in Turkey by k-Nearest Neighbor regression analysis. In 2021 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE.‏

23- Webopedia Website. [Accessed: 23 August 2013]. Available at: http://www.webopedia.com/TERM/P/plug_in.html

24- Liu, J. Comparative Study of Open-Source E-learning Management Platform. Proceedings of International Conference on Computational Intelligence and Software Engineering,2009.p, 1-4.

25- Ben Dalla, L. O. F., Medeni, T. D., Medeni, I. T., & Ulubay, M. (2025). Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management. Economy: Strategy and Practice, 19(4), 54–72. https://doi.org/10.51176/1997-9967-2024-4-54-72

26- Dalla, L. O. F. B. (2020). Modeling by using Generic Modeling Environment (GME) Domain specific modeling language (DSL) for agile software development (ASD) types.‏

27- Бен Далла Л., Медени Т.Д., Медени И.Т., Улубай М. Повышение эффективности здравоохранения в больнице Алмасара: анализ распределенных данных и управление рисками для пациентов. Economy: strategy and practice. 2024;19(4):54-72. https://doi.org/10.51176/1997-9967-2024-4-54-72

28- Dalla, L. O. F. B. (2020). IT security Cloud Computing.‏ . In 2020 IT security Cloud Computing Applications Conference (ITSCC) (pp. 1-10). IEEE.‏ https://doi.org/10.16377/ITSCC 50717.2020.9259880

29- Degirmenci, A., & Karal, O. (2022). iMCOD: Incremental multi-class outlier detection model in data streams. Knowledge-Based Systems, 258, 109950.‏ https://doi.org/10.1016/j.knosys.2022.109950

30- Dalla, L. O. F. B. (2020). Lean Software Development Practices and Principles in Terms of Observations and Evolution Methods to increase work environment productivity. International Journal of Engineering and Modern Technology, 6(1), 23-45.‏

31- Dougiamas, M. & Taylor, P. Moodle: Using Learning Communities to Create an Open Source Course Management System. In D. Lassner & C. McNaught, Proceedings of 32- World Conference on Educational Multimedia, Hypermedia and Telecommunications 2003, 171-178

32- MOODLE Website. [Accessed: 10 December 2014]. Available at: https://moodle.net/stats/

33- Mahmoodzadeh, A., Nejati, H. R., Mohammadi, M., Ibrahim, H. H., Rashidi, S., & Rashid, T. A. (2022). Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm. Expert Systems with Applications, 209, 118303.‏

34- Moodle Website. [Accessed: 10 December 2014]. Available at: http://docs.moodle.org/dev/Plugins

35- Rashid, T. A., & Ahmad, H. A. (2016). Lecturer performance system using neural network with Particle Swarm Optimization. Computer Applications in Engineering Education, 24(4), 629-638.‏

36- Karal, Ö., & Dalla, L. O. F. B.(2025). Lung Nodule Characterization in CT Scans Using Hybrid 3D Attention U-Net Segmentation and Transfer Learning-Based Classification Approach.‏

37- Monperrus, M. et al. What should developers be aware of? An empirical study on the directives of API documentation. Empirical Software Engineering,2012. 17 (6), 703-737.

38- Dalla, L. O. B., Karal, Ö., & Degirmenciyi, A. (2025). Leveraging LSTM for Adaptive Intrusion Detection in IoT Networks: A Case Study on the RT-IoT2022 Dataset implemented On CPU Computer Device Machine.‏ 5th International Conference on Engineering, Natural and Social Sciences, April 15-16, 2025: Konya, Turkey, 2025. Published by All Sciences Academy. https://www.icensos.com/

39- Karal, Ö. (2020, October). Performance comparison of different kernel functions in SVM for different k value in k-fold cross-validation. In 2020 innovations in intelligent systems and applications conference (ASYU) (pp. 1-5). IEEE.‏

40- Ben Dalla, L, O, F. (2021).Literature review (LR) on the powerful of Research methodology processes life cycle. In 2021 The Powerful of Research Methodology Processes Life Cycle Conference (TPRMPLCC) (pp. 1-10). IEEE.‏ https://doi.org/10.16543/TPRMPLCC 50717.2020.92876580

41- Yalman, Y., Uyanık, T., Atlı, İ., Tan, A., Bayındır, K. Ç., Karal, Ö., ... & Guerrero, J. M. (2022). Prediction of voltage sag relative location with data-driven algorithms in distribution grid. Energies, 15(18), 6641.‏

42- Ben Dalla, L, O, F. (2021). Literature review (LR) on the dominant of Research methodology

43- Muttaqi, M., Degirmenci, A., & Karal, O. (2022, September). US accent recognition using machine learning methods. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.‏

44- Ben Dalla, L., Medeni, T. M., Agila, A. A., & Medeni, İ. M. (2024). Architectural Synergy: Investigating the Role of Artificial Neural Networks in Enabling Deep Learning. The International Journal of Engineering & Information Technology (IJEIT), 12(1), 96-103.‏

45- Agila, et al., (2024). Diabetes Prediction Using a Support Vector Machine (SVM) and visualize the results by using the K-means algorithm ‏

46- Dalla, L. O. F. B. (2020). The Influence of hospital management framework by the usage of Electronic healthcare record to avoid risk management (Department of Communicable Diseases at Misurata Teaching Hospital: Case study).‏

47- Dalla, L. O. F. B. (2020). Dorsal Hand Vein (DHV) Verification in Terms of Deep Convolutional Neural Networks with the Linkage of Visualizing Intermediate Layer Activations Detection. International Journal of Engineering and Modern Technology E-ISSN 2504-8848 P-ISSN 2695-2149 Vol 6 No 2 2020 www.iiardpub.org ‏

48- Dalla, L. O. F. B. (2020). Convolutional Neural Network Baseline Model Building for Person Re-Identification.‏ International Journal of Engineering and Modern Technology E-ISSN 2504-8848 P-ISSN 2695-2149 Vol. 6 No. 3 2020 www.iiardpub.org

49- Hamarashid, H. K., Saeed, S. A., & Rashid, T. A. (2022). A comprehensive review and evaluation on text predictive and entertainment systems. Soft Computing, 26(4), 1541-1562.

50- Rashid, T. A., & Aziz, N. K. (2016). Student academic performance using artificial intelligence. ZANCO Journal of Pure and Applied Sciences, 28(2).

51- DALLA, L. B. (2020). The Sustainable Efficiency of Modeling a Correspondence Undergraduate Transaction Framework by using Generic Modeling Environment (GME. Ben Dalla.‏ International Journal of Engineering and Modern Technology E-ISSN 2504-8848 P-ISSN 2695-2149 . Vol 6 No 1 2020 www.iiardpub.org