Advantages and Challenges of Smart Learning in Higher Education Institutions in Saudi Arabia
- 1 College of Computer Science and Engineering, Information System department, Taibah University, Madinah, Saudi Arabia
- 2 College of Computer Science and Engineering, Information System department, Taibah University, Madinah, Saudi Arabia
- 3 College of Computer Science and Engineering, Information System department, Taibah University, Madinah, Saudi Arabia
Abstract
Higher Education Institutions have been implementing a unique technology-based learning way, as Information and Communication Technology is rapidly growing. Smart Learning is technology-supported learning that provides a comfortable learning environment that touches the individual learners’ needs. The new learning platform seeks to enhance education in a more intelligent yet simpler way. As this topic becomes a global educational matter, the Saudi government has been carefully discussing the implementation of Smart Learning since 2007. This research paper studies the advantages and challenges that will face the students by implementing a Smart Learning environment in Higher Education Institutions in Saudi Arabia. This research is completed using Quantitative research methodology. It develops questionnaire and appl ies to 530 students and professor in Saudi universities. This study comes with benefits and challenges of e-learning such as flexibility, interaction and internet experience. Also, it suggests a set of innovative recommendations to overcome the challenges that the Saudi universities might face with the new learning system.
- Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl, & J. Beckmann (Eds.), Action Control (pp. 11-39). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-69746-3_2
- Al Awar, M. (2021). Pioneering Smart Learning. Ellucian. https://www.ellucian.com/emea-ap/insights/pioneering-smart-learning
- Al Shami, E., Zhang, R., & Wang, X. (2019). Point Absorber Wave Energy Harvesters: A Review of Recent Developments. Energies, 12, 47. https://doi.org/10.3390/en12010047
- Alajmi, Q., Al-Sharafi, M. A., & Abuali, A. (2020). Smart Learning Gateways for Omani HEIs towards Educational Technology: Benefits, Challenges and Solutions. International Journal of Information Technology and Language Studies, 4, 12-17.
- Alajmi, Q., Sadiq, A., Kamaludin, A., & Al-Sharafi, M. A. (2017). E-Learning Models: The Effectiveness of the Cloud-Based E-Learning Model over the Traditional E-Learning Model. 2017 8th International Conference on Information Technology (ICIT), Amman, 17-18 May 2017, 12-16. https://doi.org/10.1109/ICITECH.2017.8079909
- Al-Harbi, K. A.-S. (2011). E-Learning in the Saudi Tertiary Education: Potential and Challenges. Applied Computing and Informatics, 9, 31-46. https://doi.org/10.1016/j.aci.2010.03.002
- Alturki, U. T. (2014). The Development of Online Distance Education in Saudi Arabia. eLearn, 2014, Article No. 5. https://doi.org/10.1145/2687917.2673861
- Chen, N.-S., Cheng, I.-L., & Chew, S. W. (2016). Evolution Is Not Enough: Revolutionizing Current Learning Environments to Smart Learning Environments. International Journal of Artificial Intelligence in Education, 26, 561-581. https://doi.org/10.1007/s40593-016-0108-x
- Gros, B. (2016). The Design of Smart Educational Environments. Smart Learning Environments, 3, Article No. 15. https://doi.org/10.1186/s40561-016-0039-x
- Klaanja-Milicevic, A., Ivanovic, M., Vesin, B., & Budimac, Z. (2018). Enhancing E-Learning Systems with Personalized Recommendation Based on Collaborative Tagging Techniques. Applied Intelligence, 48, 1519-1535. https://doi.org/10.1007/s10489-017-1051-8
- Libraries, U. (2021). Quantitative Methods. Los Angeles, CA: University of Southern California. https://libguides.usc.edu/writingguide/quantitative
- Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2, 192-222. https://doi.org/10.1287/isre.2.3.192