1. Chamizo-González, J., Cano-Montero, E. I., Urquía-Grande, E., & Muñoz-Colomina, C. I. (2015). Educational data mining for improving learning outcomes in teaching accounting within higher education. International Journal of Information and Learning Technology, 32(5), 272-285. doi:10.1108/IJILT-08-2015-0020
2. Clark, R. C., & Mayer, R. E. (2007). E-learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning (3rd ed.). San Francisco, California: Pfeiffer.
3. Cohen, L., Manion, L., & Morrison, K. (2007). Research Methods in Education (6th Edition). Oxon: Routledge, Taylor& Francis Group.
4. Creswell, J. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks.
5. Delone, W., & McLean, E. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. doi:10.1080/07421222.2003.11045748
6. Delone, W., & McLean, E. (2004). Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model. International Journal of Electronic Commerce, 9(1), 31-47. doi:10.1080/10864415.2004.11044317
7. Downing, J., & Dyment, J. (2013). Teacher Educators' Readiness, Preparation, and Perceptions of Preparing Preservice Teachers in a Fully Online Environment: An Exploratory Study. The Teacher Educator, 48(2), 96-109. doi:10.1080/08878730.2012.760023
8. El-Seoud, S., Taj-Eddin, I., Seddiek, N., & Mohamed, M. (2014). E-Learning and Students' Motivation: A Research Study on the Effect of E-Learning on Higher Education. International Journal of Emerging Technologies in Learning (iJET), 9(4), 20-26. doi:10.3991/ijet.v9i4.3465
9. Gorard, S. (2001). Quantitative Methods in Educational Research, The Role of Numbers Made Easy. London: Continumm.
10. Hair, J. F., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (6th ed.). Upper Saddle River, New Jersey: Pearson Prentice Hall.
11. Kapenieks, A. (2009). Zināšanu sabiedrības tehnoloģijas un jaunā mūžizglītība [Technologies of knowledge society and new lifelong learning]. Latvijas vēsture [History of Latvia], 6-14.
12. Lam, J., Chan, R., & Yan, K. (2015). A report on the online learning experience of students in accounting course. International Journal of Services and Standards, 10(4), 192-210. doi:10.1504/IJSS.2015.072453
13. López-Pérez, M. V., Pérez-López, M. C., & Rodríguez-Ariza, L. (2011). Blended Learning in Higher Education: Students' Perceptions and Their Relation to Outcomes. Computer & Education, 56(3), 818-826. doi:10.1016/j.compedu.2010.10.023
14. Prinsloo, P., & van Rooyen, A. (2007). Exploring a Blended Learning Approach to Improving Student Success in the Teaching of Second Year Accounting. Meditari Accountancy Research, 15(1), 51-69. doi:10.1108/10222529200700004
15. Ramayah, T., & Lee, J. W. (2012). System Characteristics, Satisfaction and E-learning Usage: A Structural Equation Model (SEM). TOJET: The Turkish Online Journal of Educational Technology, 11(2), 196-206.
16. Raspopovic, M., Jankulovic, A., Runic, J., & Lucic, V. (2014). Success Factors for e-Learning in a Developing Country: A Case Study of Serbia. The International Review of Research in Open and Distance Learning, 15(3), 1-23. doi:10.19173/irrodl.v15i3.1586
17. Taplin, R., Kerr, R., & Brown, A. (2017). Monetary Valuations of University Course Delivery: The Case for Face-to-face Learning Activities in Accounting Education. Accounting Education, 26(2), 144-165. doi:10.1080/09639284.2016.1274913
18. Ursachi, G., Horodnic, I. A., & Zait, A. (2015). How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators. Procedia Economics and Finance, 20, 679-686. doi:10.1016/S2212-5671(15)00123-9