1) المراجع الأجنبية:

- Al. Othman, F.A., Sohaib, O. (2016). Enhancing Innovative Capability and Sustainability of Saudi Firms, Sustainability, 8, pp. 1229.

- Amershi, S.; and Conati, C. (2009). Combining unsupervised and supervised classification to build user models for exploratory learning environments. Journal of Educational Data Mining, 1(1), 18-71.

- Attar, MMO, Kang, K-S and Sohaib, O. (2019), Knowledge Sharing Practices, Intellectual Capital and Organizational Performance. 52nd Hawaii International Conference on System Sciences, Grand Wailea, pp. 5578-5587.

- Baker, R. S. J. D., & Siemens, G. (2013). Educational data mining and learning analytics. Cambridge University.

- Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In Learning analytics (pp. 61-75).

- Bamiah,, M. A.; Brohi, S. N., Rad, B. B. (2018). Big data technology in education: advantages, implementations, and challenges. Journal of Engineering Science and Technology Special Issue on ICCSIT 2018, July (2018) 229 - 241

- Bhat, A. Z., & Ahmed, I. (2016, March). Big data for institutional planning, decision support, and academic excellence. In 2016 Third MEC International Conference on Big Data and Smart City (ICBDSC) (pp. 1–5). Muscat, IEEE.

- Bienkowski, M.; Feng, M.; and Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: an issue brief. U.S. Department of Education, Office of Educational Technology. Washington, D.C., Retrived August 12, 2019, from https://tech.ed.gov/wp-content/uploads/2014/03/edm-la-brief.pdf.

- Brohi, S.; Bamiah, M.; and Brohi, M. (2016). Identifying and analyzing the transient and permanent barriers for big data. Journal of Engineering Science and Technolog, 11(12), 1793 - 1807.

- Bueckle, A., Ginda, M., Ranga Suri, N. N. R., & B€orner, K. (2017). Empowering instructors in learning management systems: interactive heat map analytics dashboard. Retrieved September 2, 2019, from http://cns. slis.indiana.edu/docs/publications /2016%20 ginda%20 LAK17%20submit.pdf

- Chen S.-J. and Hwang, C.-L. (1992). Fuzzy multiple attribute decision making methods, in Fuzzy multiple attribute decision making, ed: Springer, pp. 289-486.

- Ali, W. G. M. (2012). Factors affecting nursing student’s satisfaction with e-learning experience in King Khalid University, Saudi Arabia. dimension, 5, 13-18

- Allen, I., & Seaman, J. (2008). Staying the course: Online education in the United States. Online Learning Consortium. Retrieved from http://www.onlinelearningsurvey.com/reports/staying-the-course.pdf

- Allen, I., & Seaman, J. (2015). Grade level: Tracking online education in the United States. Online Learning Consortium. Retrieved from http://onlinelearningconsortium.org/read/survey-reports-2014/

- Allen, I. E., Seaman, J., & Seaman, J. E. (2018). Grade increase: Tracking distance education in the United States. Babson Survey Research Group and Quahog Research Group, LLC. Retrieved from https://files.eric.ed.gov/fulltext/ED580852.pdf

- Ally, M. (2004). Foundations of educational theory for online learning. Theory and Practice of Online Learning, 2, 15–44.

- Al-Salman, S. (2013). The role of faculty in the effectiveness of fully online programs (Doctoral dissertation). Retrieved from ProQuest Dissertations & Theses A&I. (3565063)

- Alubthne, F. (2018). Exploring the Quality Needs of Saudi Electronic University Students: A Learner Perspective (Unpublished doctoral dissertation). Ohio University, Ohio. Retrieved from https://etd.ohiolink.edu/!etd.send_file?accession=ohiou1518699469954247&disposition=inline

- Aman, P. R. (2009). Improving learner satisfaction and retention with online instruction through systematic faculty peer review of courses. (Unpublished doctoral dissertation). Oregon State University, Corvallis, OR.

- Andresen, M. A. (2009). Asynchronous discussion forums: success factors, outcomes, assessments, and limitations. Journal of Educational Technology & Society, 12(1), 249–257.

- Ally, M. (2008.). Foundations of Educational Theory for Online Learning. In T. Anderson (Ed.), The Theory and practice of Online Learning (pp. 3-31). Retrieved from https://auspace.athabascau.ca/bitstream/handle/2149/411/?sequence=1

- Armstrong, D. (2010). A Qualitative Study of Undergraduate Students’ Approaches, Perceptions, and Use of Online Tools. ProQuest Dissertations and Theses, Document ID 742477661. Retrieved from https://repository.usfca.edu/cgi/viewcontent.cgi?article=1382&context=diss

- Bailey, C. J., & Card, K. A. (2009). Effective pedagogical practices for online teaching: Perception of experienced instructors. The Internet and Higher Education, 12(3), 152–155.