The Quality of Interactive E-Learning for Students to understand the Course Material
E-learning is the acquiring of information that takes place through electronic devices and media, also known as online learning or electronic learning. E-learning can be understood as "learning is enabled electronically". Typically, online learning is conducted online. E-Learning typically occurs in the form of online courses, online degrees or online programmes. Online learning has many benefits over in person classes. These include students being able to undertake and study using self-paced learning and the opportunity to choose their study environment. This leads to low expenditure, low staff training, and low capital outlay. All these factors prove that e-learning will perform well in terms of business growth and development. Over the long-term, worldwide e-learning market is expected to grow significantly from $107 Billion in 2015 to $325 Billion in 2025. E-learning forces learners to concede some of their privileges. Higher cheating rate, peer pressure, and lack of skill development for online students are some challenges that need to be dealt with. This work integrates the usage patterns and reviews on the quality factors of e-learning based course materials for effectual outcomes in the academia
Agariya, A. K., & Singh, D. (2012). e-Learning quality: Scale development and valida-tion in Indian context. Knowledge Management & ELearning: An International Journal, 4(4), 500-517.
Al-Mushasha, N. F., & Nassuora, A. B. (2012). Factors Determining e-learning Service Quality in Jordanian. Higher Education Environment. Journal of Applied Sciences, 12(14). doi: 10.3923/jas.2012.1474.1480
Åström, E. (2008). E-learning quality. Aspects and criteria for evaluation of e-learning in higher education. (Högskoleverkets rapportserie 2008: 11 R). Solna: Swedish Na-tional Agency for Higher Education.
Bremer, C. (2012). Enhancing e-learning quality through the application of the AKUE procedure model. Journal of Computer Assisted Learning, 28(1), 15-26. doi: 10.1111/j.1365-2729.2011.00444.x
Ceobanu, C., & Asandului, L. (2009). A theoretical framework for quality indicators in elearning. Turkish Online Journal of Distance Education, 10(4).
Clements, K. I., & Pawlowski, J. M. (2012). User-oriented quality for OER: understand-ing teachers' views on re-use, quality, and trust. Journal of Computer Assisted Learning, 28(1), 4-14. doi: 10.1111/j.1365-2729.2011.00450.x
Dobre, I. (2012). An Overview of the Most Important Aspects Related to Quality As-surance in Computer Supported Collaborative E-Learning. International Journal of Computer Science Research and Application, 2(1), 25-30.
Ehlers, U. D., & Hilera, J. R. (2012). Special Issue on quality in e-learning. Journal of Computer Assisted Learning, 28(1), 1-3. doi: 10.1111/j.1365-2729.2011.00448.x
Gamalel-Din, S. A. (2010). Smart e-Learning: A greater perspective; from the fourth to the fifth generation e-learning. Egyptian Informatics Journal, 11(1), 39-48. doi: 10.1016/j.eij.2010.06.006
Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technolo-gies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175. doi: 10.1016/j.compedu.2012.12.003
Iqbal, M. J., & Ahmad, M. (2010). Enhancing Quality of Education through E-learning: The Case Study of Allama Iqbal Open University.Turkish Online Journal of Distance Education, 11(1), 84-97.
Iqbal, M. Z., Maharvi, M. W., Malik, S. A., & Khan, M. M. (2011). An Empirical Anal-ysis of the Relationship between Characteristics and Formative Evaluation of Training. International Business Research, 4(1), 273-286.
Islam, A. K. M. N. (2013). Investigating e-learning system usage outcomes in the uni-versity context. Computers & Education, 69, 387-399. doi: 10.1016/j.compedu.2013.07.037
Jayakumar, S., Manimaran, S., & GopiAnand, M. (2013). Analysis of e-learning in business and tools for improving the effectiveness of the educational system. Interna-tional Journal of Computer Science and Mobile Computing, 2(5), 109 – 113.
Jung, I. (2012). Asian Learners’ Perception of Quality in Distance Education and Gen-der Differences. The International Review of Research in Open and Distance Learning, 13(2).
Kirkpatrick, D. L., & Kirkpatrick, J. D. (2007). Implementing the four levels. A Practi-cal Guide for Effective Evaluation of Training Programs. San Francisco Berret-Koehler Publishers, Inc., .
Lai, R., & Sanusi, N. (2013). Improving Higher Education Student Learning through a Table of Learning. Creative Education, 04(07), 150-157. doi: 10.4236/ce.2013.47A2019
Liu, Y. C., Huang, Y.-A., & Lin, C. (2012). Organizational Factors’ Effects on the Suc-cess of E-Learning Systems and Organizational Benefits: An Empirical Study in Tai-wan. The International Review of Research in Open and Distance Learning, 13(4).
Marshall, S. (2012). Improving the quality of e-learning: lessons from the eMM. Journal of Computer Assisted Learning, 28(1), 65-78. doi: 10.1111/j.1365-2729.2011.00443.x
Masoumi, D., & Lindström, B. (2012). Quality in e-learning: a framework for promot-ing and assuring quality in virtual institutions. Journal of Computer Assisted Learning, 28(1), 27-41. doi: 10.1111/j.1365-2729.2011.00440.x
Meier, C., Seufert, S., & Euler, D. (2012). Quality assessment and development in the course of the EFMD CEL programme accreditation. Journal of Computer Assisted Learning, 28(1), 52-64. doi: 10.1111/j.1365-2729.2011.00442.x
Misut, M., Pribilova, K., Orolinova, M., & Kotulakova, K. (2013). Quality of Education Improvement through Adapted Kirkpatrick Evaluation Model. Advances in Education Research, 44, 109-114.
Oliver, R. (2005). Quality assurance and e-learning: blue skies and pragmatism. Alt-J, 13(3), 173-187. doi: 10.1080/09687760500376389
Al-Saedi, K.H.K., Implementation Patterns of AquaSim for Simulation of Underwater Acoustic Wireless Sensor Networks. Wasit Journal of Computer and Mathematics Science, 2021: p. 84-92.
Verma, H., Internet of Robotics Things (IoRT) Based Integration of Robotic Applications for Advanced Research. Wasit Journal of Computer and Mathematics Science, 2021: p. 9-16.
Kh-Madhloom, J., Dynamic Cryptography Integrated Secured Decentralized Applications with Blockchain Programming. Wasit Journal of Computer and Mathematics Sciences, 2022. 1(2): p. 21-33.
Al-ogaili, H. and A.M. Shadhar, the Finger Vein Recognition Using Deep Learning Technique. Wasit Journal of Computer and Mathematics Sciences, 2022. 1(2): p. 1-11.
Zubain, N.A. and A. Al-Hachami, Certain Types of Function Via Alpha-Open Sets. Wasit Journal of Pure sciences, 2022. 1(2): p. 96-101.
Taresh, M.R. and A. Al-Hachami, On normal space: OR, Og. Wasit Journal of Pure sciences, 2022. 1(2): p. 61-70.
Roa'a M. Al_airaji., et al., Face Patterns Analysis and Recognition System Based on Quantum Neural Network QNN. International Journal of Interactive Mobile Technologies, 2022. 16(8).
Salim Haider, H.T.Hazim., Secure Chaos of 5G Wireless Communication System Based on IOT Applications. International Journal of Online and Biomedical Engineering(iJOE), 2022. 18(12): p. 89-102.
Alaidi, A.H.M., et al., Dark Web Illegal Activities Crawling and Classifying Using Data Mining Techniques. International Journal of Interactive Mobile Technologies, 2022. 16(10).
Jasim, N.A.,and M.S. Farhan. Internet of Things (IoT) application in the assessment of learning process. in IOP Conference Series: Materials Science and Engineering. 2021. IOP Publishing.
Abass A. Z., et al., Smart Learning based on Moodle E-learning Platform and Digital Skills for University Students. Int. J. Recent Contributions Eng. Sci. IT, 2022. 10(1).
Ossiannilsson, E. (2011). Findings from European Benchmarking Exercises on E-Learning: Value and Impact. Creative Education, 2(3), 208-219. doi: 10.4236/ce.2011.23029
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