1. Wu Y. Factors impacting students’ online learning experience in a learner-centred course. JCAL.2016. [Homepage
2. Carr S. As distance education comes of age, the challenge is keeping the students. High Educ 2000;46,39–42. [Homepage
3. Levy Y. Comparing dropouts and persistence in e-learning courses. COMPEDU. 2007; 48(2), 185-204 [Homepage
4. Tello SF. An analysis of student persistence in online education. International IJCTE 2007;3(3), 47–62. faculty.
5. Frankola K. Why online learners drop out. Workforce 2001;80(10), 53–58. [Homepage
6. Diaz DP. Online drop rate revisited. LTS 2002; May/June. Retrieved from:http:// technology source. org/ issue/ 2002-05/.
7. Patterson B, McFadden C. Attrition in online and campus degree programs. OJDLA. 2009;12(2). [Homepage
8. Lee MC. Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Compedu 2010; 54(2), 506-516. [Homepage
9. Muller T. Persistence of women in online degree-completion programs. IRRODL 2008;9(2), 1–18. [Homepage
10. Shin N. Transactional presence as a critical predictor of success in distance learning. ODLAA 2003;24(1), 69–86. [Homepage
11. Willging, PA. Johnson SD. Factors that influence students’ decision to dropout of online courses. JALN 2009;13(3), 115-127. [Homepage
12. Tinto V. Dropout from higher education: A theoretical synthesis of recent research. RER 1975;45(1), 89–125. [Homepage
13. Kember D. Open learning courses for adults: A model of student progress. ERIC. 1995.NJ: EdTECH. futydowy.ru/huwa.pdf
14. Sun PC, Tsai RJ, Finger G, Chen YY, Yeh D. What drives a successful e-Lear earning? An empirical investigation of the critica itical factors influencing learner satisfaction. Compedu. 2008;50(4):1183-202 courses. [Homepage
15. McVay Lynch M. The online educator: A guide to creating the virtual classroom, London:2002. RoutledgeFalmer. [Homepage
16. Rossin D, Ro YK, Klein BD, Guo YM. The effects of ﬂow on learning outcomes in an online information management course.JISE 2009; 20(1), 87–97.
17. Shin N. Online learner's ‘ﬂow’ experience: An empirical study. BJET. 2006;37(5), 705–720.
18. Joo Y, Joung Sim W. Structural relationships among internal locus of control, institutional support, ﬂow, and learner persistence in cyber universities. CHB 2011;27, 714–722. [Homepage
19. Street HD. Factors influencing a learner’s decision to drop-out or persis sist in higher education distance learning. OJDLA .2010;13(4).
20. Hart C. Factors associate sociated with student persistence in an online program off study: A review of the literature. JIOL 2012;11(1):19-42. https://pdfs.semanticscholar.org/79be/1d3cce424c775082cc9dc515c83f09faec98.pdf
21. Bazargan A. Mixed research methods: a superior approach to exploring the issues of education system. Efficient schools 2009;7:12-16. [Persian] http://www.ensani.ir/ storage/ Files/ 20120326122438-1163-172.pdf
22. Dupin-Bryant P. Pre-entry variables related to retention in online distance education. AJDE 2004; 18(4), 199–206. [Homepage
23. Morris LV, Finnegan C, Wu S. Tracking student behavior, persistence, and achievement in online courses. ihedu. 2005; 8(3), 221–231. [Homepage
24. Osborn V. Identifying at-risk students in videoconferencing and web-based distance education. AJDE. 2001;15(1), 41–54. [Homepage
25. Aragon SR, Johnson EJ. Factors Influencing Completion and Noncompletion of Community College Online Courses. The Amer. JDE 2008;22: 146–158. [Homepage
26. Harrell LL, Bower BL. Student Characteristics That Predict Persistence in Community College Online Courses. AJDE. 2011; 25:178–191.
27. Castles J. Persistence and the adult learner: Factors affecting persistence in Open University students. alh 2004; 5(2), 166–179.
28. Cheung LL W, Kan ACN. Evaluation of factors related to student performance in a distance-learning business communication course.JEB. 2002;77(5), 257. [Homepage
29. Poellhuber B, Chomienne M, Karsenti T. The effect of peer collaboration and collaborative learning on self-efficacy and persistence in a learner-paced continuous intake model. CNIE. 2008;22(3), 41–62. [Homepage
30. Moore MG. Editorial: what does research say about the learners using computer-mediated communication in distance learning?, AJDE. 2002;16 (2), 61–64. [Homepage
31. Tyler-Smith K. Early Attrition among First Time Elearners: A Review of Factors That Contribute to Drop-out, Withdrawal and Non-Completion Rates of Adult Learners Undertaking Elearning Programmes. JOLT. 2006; 2 (2), 73-85.
32. Xenos M, Pierrakeas C, Pintelas P. A survey on student dropout rates and dropout causes concerning the students in the course of informatics of the Hellenic Open University. Compedu. 2002;39(4), 361–377. [Homepage
33. Holder B. An investigation of hope, academics, environment, and motivation as predictors of persistence in higher education online programs. Internet High Educ. 2007;10(4), 245–260. [Homepage
34. Pierrakeas C, Xenos M, Panagiotakopoulos VD. A comparative study of dropout rates and causes for two different distance education courses. IRRODL. 2004;5(2), 1–13. [Homepage
35. Stanford-Bowers DE. Persistence in online classes: A study of perceptions among community college stakeholders. JOLT. 2008; 4 (1).
36. Selim M. Critical success factors for e-learning acceptance: ConWrmatory factor models. Compedu 2007;49 (2007) 396–413. [Homepage
37. Bhuasiri w, Xaymoungkhoun B, Hangjung ZH, Rho J, Ciganek A. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Compedu 2012;58, 843–855. [Homepage
38. Soong Bmh, Chan HC, Chua BC, Loh KF. Critical success factors for on-line course resources. Compedu. 2001;36(2), 101–120.
39. Yaghobi J*, Malek Mohammadi. Irvani H, Ataran M. Desred Characteristics of Faculty members and AND Students in IN E-Lerning in Higher Education Ofiran: Virtual StudenS' View pointI. Education .2008;14,(1);159- 173 [Persian].
40. Morris LV, Wu S, Finnegan CL. Predicting retention in online general education courses. AJDE. 2005;19(1), 23–36.
41. Lee, y, Choi,j, Taehyun K. Discriminating factors between completers of and dropouts from online learning courses. BJET. 2013; 44 (2).
42. Chyung SY. Systematic and systemic approaches to reducing attrition rates in online higher education. AJDE. 2001;15(3).
43. Ivankova NV, Stick SL. Students’ persistence in a distributed doctoral program in educational leadership in higher education: A mixed methods study. RIHE.2007; 48(1);93–135.
44. Parker A. Identifying predictors of academic persistence in distance education. USDLA. 2003;17(1), 55–61.
45. López-Pérez MV, Pérez-López CM, Rodríguez AL. Blended learning in higher education: Students’ perceptions and their relation to outcomes. Compedu. 56(3): 818-826.
46. Joo YJ, Joung S & Sim WJ. Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities. COMPUT HUM BEHAV. 2011; 714–722.
47. Rostaminezhad MA, Mozayani N, Norozi, D , Iziy M. Factors Related to E-learner Dropout: Case Study of IUST Elearning Center . 2013,83;(4):522-527.
48. Mahmodi M, Ebrahimzade I.The Analysis of Iranian Students’ Persistence in Online Education. IRPODL. 2015; 16.
49. Strom RE, Matthew W. Assessing the Relationships Between Perceived Support From Close Others, Goal Commitment, and Persistence Decisions at the College Level. JCSD. 2014;55 (6).
50. Gu JC, Lee S Ch and Suh YH. Determinants of behavioral intention to mobile banking, ACMDL. 2009;36:11605-11616.
51. Bernath U, Rubin,E. Student retention issues in the online Master of Distance Education. Eds. 2004;363 - 369
52. Doherty W. An analysis of multiple factors affecting retention in Web-based community college courses. Higher Ed 2006; 9: 245–255.
53. Hernandez RJ. Development and validation of an instrument to predict online student success using faculty perceptions. (Doctoral dissertation). Retrieved from ProQuest Dissertations and Theses database. 2008 (UMI No. 3353583)
54. Liu SY, Gomez J, Yen CJ. Community College Online Course Retention and Final Grade: Predictability of Social Presence. Jiol 2009; 8(2):165-184.
55. Perry B, Boman J, Care WD, Edwards M, & Park C. Why do students withdraw from online graduate nursing and health studies education. JEO. 2008;5(1), 1–17.
56. Bocchi, J., Eastman, J.K, Swift, CO. Retaining the online learner: Profile of students in an online MBA program and implications for teaching them. JOEB. 2004;79(4), 245–253.
57. Barbera E, Clara M, Jennifer A. Linder-Vanberschot. Factors Influencing Student Satisfaction and Perceived Learning in Online Courses. ELEA. 2013;10(3).
58. Arbaugh JB. Managing the on-line classroom: a study of technological and behavioral characteristics of web-based MBA. JHTMR 2002;(2):203–223.
59. Muilenburg LY, Berge ZL. Barriers to distance education: A factor analytic study. AJDE. 2001;11(2),39–54.
60. Rockinson- Szapkiwa AJ, Spaulding LS, Spaulding MT. Identifying significant integration and institutional factors that predict online doctoral persistence. Internet High Educ. 2016;31:101–112.
61. Clay M N, Rowland S, & Packard A. Improving undergraduate online retention through gated advisement and redundant communication. CSR. 2009;10(1); 93–102.
62. Pigliapoco, E., Bogliolo, A. The effects of psychological sense of community in online and faceto- face academic courses. iJET .2008;3 (4): 60–69.
63. Packham G, Jones P, Miller C, Thomas B. E-learning and retention: Key factors influencing student withdrawal.JET 2004; 46(6/7), 335–342.
64. Kemp WC. Persistence of adult learners in distance education. AJDE 2002;16(2), 65. [Homepage
65. Frydenberg, J. Persistence in university continuing education online classes.IRRODL 2007;8(3), 1–15.
66. Piccoli G, Ahmad R, & Ives B. Web-based virtual learning environments: a research framework and a preliminary assessment of effectiveness in basic IT skill training. MIS. 2001;25(4), 401–426. [Homepage
67. Thurmond, VA, Wambach, K, Connors, HR. Evaluation of student satisfaction: determining the impact of a web-based environment by controlling for student characteristics. AJDE. 2002; 16(3), 169–189.
68. Wu JH, Tennyson RD, and Hsia TL. A Study of Student Satisfaction in a Blended ELearning System Environment. Compuedu 2010; 55 (1), 155–164. [Homepage
69. Arbaugh JB. Virtual classroom characteristics and student satisfaction with internet-based MBA courses. JME. 2000; 24(1), 32–54. [Homepage
70. Arbaugh J B, Duray R. Technological and structural characteristics, student learning and satisfaction with web-based courses– An exploratory study of two on-line MBA programs. MLE. 2002;33(3): 331–347. courses. [Homepage
71. Hong KS. Relationships between students’ and instructional variables with satisfaction and learning from a Web-based course. Internet High Educ. 2002;(5): 267–281. [Homepage
72. Arasti Z, Sefidgar A, Zaefarian R. Explanation the Role of the Personal, Environmental and System Factors on the Success of Entrepreneurship Electronic Learning in University of Tehran. JED. 2016; 8(1): 61–79. [Persian]