Knowledge Acquisition Base Learning: An Interactive Learning Approach

Abstract

The Corona Covid-19 Pandemic revealed a deep deficiency in the current e-learning system. Many of the current e-Learning schemas have pursued their goals in conventional ways, albeit transferring the lecture hall to an online medium presentation. In essence, there had been little innovation above traditional classroom lecturing. In this paper, we propose a novel approach aimed at optimizing the learning outcomes of learning per student. Namely, we propose Iterative and Interactive e-Learning Platform, where the main focus is shifted towards the learner, i.e., the student. The role of the instructor is directed more towards the construction and presentation of interactive education material in a manner to enable the learner to acquire the minimum required knowledge and to achieve the intended outcomes in the most effective manner. Therefore, the proposed model is a knowledge-acquisition based learning management system (KA-LMS). Unlike the traditional ways of classroom or online lecturing, a student using KA-LMS is expected to achieve a quality of learning, never before achieved via standard offline or online pedagogical methodologies. The Iterative and Interactive KA-LMS is sought to enable various academic institutions to achieve quality standards in both online and on premise setup, thus avoiding the calamities of pandemics, such as the one imposed by the Corona Covid-19. The proposed KA-LMS will enable graduates to achieve the required skills and knowledge, which allow them to compete in a more vigorous and competitive marketplace at the local and global levels. The proposed KA-LMS has the inherent capability to monitor and control the progress of the learner entity based on the quantity and quality of the knowledge acquired by the learner. The proposed model will be tested in school and college environments, with real education subjects.

Keywords

• Online learning
• Iterative learning
• Interactive learning
• Knowledge acquisition
• Covid-19

References

1. Andrabi, A. & Jabeen, N. (2018). Relationship between socio-economic status and academic achievement. Strength for Today and Bright Hope for Tomorrow, 11(6), 690-695. https://doi.org/10.13140/RG.2.2.32707.91683
2. Barker, P. (1994). Designing interactive learning. In Design and production of multimedia and simulation-based learning material (pp. 1-30). Springer. https://doi.org/10.1007/978-94-011-0942-0_1
3. Cho, V., Cheng, T. E., & Lai, W. J. (2009). The role of perceived user-interface design in continued usage intention of self-paced e-learning tools. Computers & Education, 53(2), 216-227. https://doi.org/10.1016/j.compedu.2009.01.014.
4. Malkawi, M. & Talib, A. (2008, October 6-7). Building arab software industry: an expansion to the indian model [Conference Presentation]. International Conference on Ubiquitous ICT for Sustainable Education and Cultural Exchange, Hämeenlinna, Finland.
5. Malkawi, M. (2006, April 25-27). Optimizing engineering education in arab universities: toward industry-oriented outcomes [Conference Presentation]. International Forum on Engineering Education - Integrating Teaching and Research with Community Service, University of Sharjah Sharjah, United Arab Emirates
6. Malkawi, M. (2006, April 25-27). Technology education using a novel approach in e-learning—towards optimizing the quality of learning outcomes [Conference Presentation]. International Forum on Engineering Education - Integrating Teaching and Research with Community Service, University of Sharjah Sharjah, United Arab Emirates
7. Malkawi, M. (2007, March 20-22). Emerging trends in biomedical informatics: designing a curriculum to address the current job market [Conference Presentation]. The International Medical Informatics And Biomedical Engineering Symposium, Jordan.
8. Meng, D., Zhao, Q., & Jiang, L. (2017). A theoretical understanding of self-paced learning. Information Sciences, 414, 319-328. https://doi.org/10.1016/j.ins.2017.05.043.

9. Minka, R. W. (1997). Picard, Interactive learning with a “society of models”. Pattern Recognit, 30, 565-581. https://doi.org/10.1016/S0031-3203(96)00113-6.
10. Tullis, J. G., & Benjamin, A. S. (2011). On the effectiveness of self-paced learning. Journal of memory and language, 64(2), 109-118. https://doi.org/10.1016/j.jml.2010.11.002.