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Critical factors affecting student satisfaction in a distance learning environment Cover

Critical factors affecting student satisfaction in a distance learning environment

Open Access
|Mar 2024

References

  1. Al-Nasa’h, M., Al-Tarawneh, L., Abu Awwad, F. M., &amp; Ahmad, I. (2021). Estimating students’ online learning satisfaction during COVID-19: A discriminant analysis. <em>Heliyon</em>, <em>7</em>(12), e08544. <a href="https://doi.org/10.1016/j.heliyon.2021.e08544" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.heliyon.2021.e08544</a>
  2. Ali, R., &amp; Leeds, E. M. (2009). The impact of face-to-face orientation on online retention: A pilot study. <em>Online Journal of Distance Learning Administration</em>, <em>12</em>(4), Art. No. 1.http://www.westga.edu/~distance/ojdla/
  3. Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. <em>Distance Education</em>, <em>40</em>(1), 133–148. <a href="https://doi.org/10.1080/01587919.2018.1553" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/01587919.2018.1553</a> 562
  4. Anagnostopoulou, E., Mavroidis, I., Giossos, Y., &amp; Koutsouba, M. (2015). Student satisfaction in the context of a postgraduate programme of the Hellenic Open University. <em>Turkish Online Journal of Distance Education</em>, <em>16</em>(2,4), 40–55.http://dx.doi.org/<a href="https://doi.org/10.17718/tojde.52944" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.17718/tojde.52944</a>
  5. Anderson, T. (2003). Modes of interaction in distance education: Recent developments and research questions. In M. G. Moore &amp; W. G. Anderson (Eds.), <em>Handbook of distance education</em> (pp. 129–144). Erlbaum.
  6. Angelaki, C., &amp; Mavroidis, I. (2013). Communication and social presence: The impact on adult learners’ emotions in distance learning. <em>European Journal of Open, Distance and e-Learning</em>, <em>16</em>(1), 78–93.
  7. Arbaugh, J. B. (2000). Virtual classroom characteristics and student satisfaction with internet-based MBA courses. <em>Journal of Management Education</em>, <em>24</em>(1), 32–54. <a href="https://doi.org/10.1177/105256290002400104" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1177/105256290002400104</a>
  8. Artino, A. R. Jr. (2007). Self-regulated learning in online education: A review of the empirical literature. <em>International Journal of Instructional Technology &amp; Distance Learning</em>, <em>4</em>(6), 3–18. http://www.itdl.org/index.htm
  9. Artino, A. R. Jr. (2008). Motivational beliefs and perceptions of instructional quality: Predicting satisfaction with online training. <em>Journal of Computer Assisted Learning</em>, <em>24</em>(3), 260–270.
  10. Artino, A. R. Jr. (2009). Online learning: Are subjective perceptions of instructional context related to academic success? <em>Internet and Higher Education</em>, <em>12</em>(3–4), 117–125. <a href="https://doi.org/10.1016/j.iheduc.2009.07.003" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.iheduc.2009.07.003</a>
  11. Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. <em>Educational Psychologist</em>, <em>40</em>(4), 199–209. <a href="https://doi.org/10.1207/s15326985ep4004_2" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1207/s15326985ep4004_2</a>
  12. Bacci, S., Fabbricatore, R., &amp; Iannario, M. (2023). Multilevel IRT models for the analysis of satisfaction for distance learning during the COVID-19 pandemic. <em>Socio-Economic Planning Sciences</em>, <em>86</em>, 101467. <a href="https://doi.org/10.1016/j.seps.2022.101467" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.seps.2022.101467</a>
  13. Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), <em>Encyclopedia of human behavior</em> (Vol. 4, pp. 71–81). Academic Press. (Reprinted from <em>Encyclopedia of mental health</em>, by H. Friedman, Ed., 1998, Academic Press).
  14. Bandura, A. (1997). <em>Self-efficacy: The exercise of control</em>. W.H. Freeman &amp; Company.
  15. Battalio, J. (2007). Interaction online: A reevaluation. <em>Quarterly Review of Distance Education</em>, <em>8</em>(4), 339–352.
  16. Baturay, M. H. (2011). Relationships among sense of classroom community, perceived cognitive learning and satisfaction of students at an e-learning course. <em>Interactive Learning Environments</em>, <em>19</em>(5), 563–575, <a href="https://doi.org/10.1080/10494821003644029" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/10494821003644029</a>
  17. Belanger, F., &amp; Jordan, D. H. (2000). Evaluation and implementation of distance learning: Technologies, tools and techniques. Idea Group Publishing.
  18. Berge, Z. L. (1999). Interaction in post-secondary webbased learning. <em>Educational Technology</em>, <em>39</em>(1), 5–11.
  19. Boekaerts M., Corno L. (2005). Self-Regulation in the Classroom: A Perspective on Assessment and Intervention, <em>Applied Psychology: An International Review</em>, 2005, <em>54</em> (2), 199–231.
  20. Bolliger, D. U., &amp; Martindale, T. (2004). Key factors for determining student satisfaction in online courses. <em>International Journal on E-Learning</em>, 3(1), 61–67
  21. Brockett, R. G., &amp; Hiemstra, R. (1991). Self-direction in adult learning: Perspectives on theory, research, and practice (1st ed.). Routledge.
  22. Carranza Esteban, R. F., Mamani-Benito, O., Morales-García, W. C., Caycho-Rodríguez, T., &amp; Ruiz Mamani, P. G. (2022). Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19. <em>Heliyon</em>, <em>8</em>(11), e11085. https:// doi.org/<a href="https://doi.org/10.1016/j.heliyon.2022.e11085" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1016/j.heliyon.2022.e11085</a>
  23. Chien, T.-C. (2012). Computer self-efficacy and factors influencing e-learning effectiveness\. <em>European Journal of Training and Development</em>, <em>36</em>(7), 670–686, http://dx.doi.org/<a href="https://doi.org/10.1108/03090591211255539" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1108/03090591211255539</a>
  24. Cho, M.-H., &amp; Jonassen, D. (2009). Development of the human interaction dimension of the selfregulated learning questionnaire in asynchronous online learning environments. <em>Educational Psychology</em>, <em>29</em>(1), 117–138. <a href="https://doi.org/10.1080/01443410802516934" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/01443410802516934</a>
  25. Cho, M.-H., Shen, D., &amp; Laffey, J. (2010). Relationships between self-regulation and social experiences in asynchronous online learning environments. <em>Journal of Interactive Learning Research</em>, <em>21</em>(3), 297–316.
  26. Chou, P. N., &amp; Chang, C. C. (2018). Small or large? The effect of group size on engineering students’ learning satisfaction in project design courses. <em>Eurasia Journal of Mathematics, Science and Technology Education</em>, <em>14</em>(10), 1–9. https://doi. org/<a href="https://doi.org/10.29333/ejmste/93400" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.29333/ejmste/93400</a>
  27. Compeau, R., &amp; Higgins, A. (1995). Computer selfefficacy: Development of a measure and initial test. <em>MIS Quarterly</em>, <em>19</em>(2), 189–211.
  28. Corno, L. (2001). Volitional aspects of self-regulated learning. In B. J. Zimmerman &amp; D. H. Schunk (Eds.), <em>Self-regulated learning and academic achievement: Theoretical perspectives</em> (2nd ed., pp. 191–226). Lawrence Erlbaum.
  29. DeBourgh, G. A. (1999). Technology is the tool, teaching is the task: Student satisfaction in distance learning. In J. Price, J. Willis, D. Willis, M. Jost, &amp; S. Boger-Mehall (Eds.), <em>Proceedings of SITE 1999 – Society for Information Technology &amp; Teacher Education International Conference</em> (pp. 131–137). Association for the Advancement of Computing in Education (AACE).https://www.learntechlib.org/primary/p/7521/.
  30. DeBourgh G. (2003). Predictors of Student Satisfaction in Distance-Delivered Graduate Nursing Courses: What Matters Most? <em>Journal of Professional Nursing</em>, Vol 19, No 3 (May–June), 2003: pp 149-163
  31. Eastin, M. S. &amp; LaRose, R. (2000). Internet self-efficacy and the psychology of the digital divide. <em>Journal of Computer-Mediated Communication</em>, <em>6</em>(1), 1-18.<a href="https://doi.org/10.1111/j.1083-6101.2000.tb00110.x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1111/j.1083-6101.2000.tb00110.x</a>
  32. Eichhorn, J. (2013). Unemployment needs context: How societal differences between countries moderate the loss in life-satisfaction for the unemployed. <em>Journal of Happiness Studies</em>, <em>14</em>(6), 1657–1680, <a href="https://doi.org/10.1007/s10902-012-9402-y" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s10902-012-9402-y</a>
  33. Fotiadou, A., Angelaki, Ch., &amp; Mavroidis, I. (2017). Learner autonomy as a factor of the learning process in distance education. <em>European Journal of Open, Distance and e-Learning</em>, <em>20</em>(1), 95–110.
  34. Gao, B. W., Jiang, J., &amp; Tang, Y. (2020). The effect of blended learning platform and engagement on students’ satisfaction – The case from the tourism management teaching. <em>Journal of Hospitality, Leisure, Sport &amp; Tourism Education</em>, <em>27</em>, 100272, <a href="https://doi.org/10.1016/j.jhlste.2020.100272." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.jhlste.2020.100272.</a>
  35. Goldsmith, A. H., Veum, J. R., &amp; Darity, W. Jr. (1996a). The impact of labor force history on self-esteem and its component parts, anxiety, alienation and depression. <em>Journal of Economic Psychology</em>, <em>17</em>(2), 183–220.
  36. Goldsmith, A. H., Veum, J. R., &amp; Darity, W. Jr. (1996b). The psychological impact of unemployment on joblessness. <em>Journal of Socio-Economics</em>, <em>25</em>(3), 333–358.
  37. Gray, J. A., &amp; DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. <em>International Journal of Educational Leadership Preparation</em>, <em>11</em> (1), 98–119. https://www.icpel.org/ijelp.html
  38. Greene, J. A., &amp; Azevedo, R. (2009). A macro-level analysis of SRL processes and their relations to the acquisition of a sophisticated mental model of a complex system. <em>Contemporary Educational Psychology</em>, <em>34</em>(1), 18–29. <a href="https://doi.org/10.1016/j." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.</a> cedpsych.2008.05.006
  39. Hase, S., &amp; Kenyon, C. (2000). From andragogy to heutagogy. <em>UltiBase Articles</em>, <em>5</em>, 1–10.
  40. Hase, S., &amp; Kenyon, C. (2007). Heutagogy: A child of complexity theory. <em>Complicity: An International Journal of Complexity and Education</em>, <em>4</em>(1), 111–119.
  41. Hillman, D. C. A., Willis, D. J., &amp; Gunawardena, C. N. (1994). Learner-interface interaction in distance education: An extension of contemporary models and strategies for practitioners. <em>The American Journal of Distance Education</em>, <em>8</em>(2), 30–42.
  42. Holmberg, B. (1995). <em>Theory and practice of distance education</em>. Routledge.
  43. Joo, Y. J., Lim, K. Y., &amp; Kim, J. (2013). Locus of control, self-efficacy, and task value as predictors of learning outcome in an online university context. <em>Computers &amp; Education</em>, <em>62</em>, 149–158.
  44. Jung, I., Choi, S., Lim, C., &amp; Leem, J. (2002). Effects of different types of interaction on learning achievement, satisfaction and participation in web-based instruction. <em>Innovations in Education &amp; Teaching International</em>, <em>39</em>(2), 153–162.
  45. Kara, M., Kukul, V., &amp; Çakir, R. (2021). Self-regulation in three types of online interaction: How does it predict online pre-service teachers’ perceived learning and satisfaction? <em>Asia-Pacific Education Researcher</em>, <em>30</em>(1), 1–10. <a href="https://doi.org/10.1007/s40299-020-00509-x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s40299-020-00509-x</a>
  46. Kassandrinou, A., Angelaki, C., &amp; Mavroidis, I. (2014). Transactional distance among open university students: How does it affect the learning process? <em>European Journal of Open, Distance and e-Learning</em>, <em>17</em>(1), 23–42.
  47. Ke, F., &amp; Kwak, D. (2013). Online learning across ethnicity and age: A study on learning interaction participation, perception, and learning satisfaction. <em>Computers &amp; Education</em>, <em>61</em>, 43–51.
  48. Keller, J. M. (1983). Motivational design of instruction. In C. Reigeluth (Ed.), <em>Instructional design theories and models: An overview of their current status</em> (pp. 386–434). Erlbaum.
  49. Knowles, M. S. (1975). <em>Self-directed learning: A guide for learners and teachers</em>. The Adult Education Company.
  50. Koseke, G. F., &amp; Koseke, R. D. (1991). Student burnout as a mediator of the stress-outcome relationship. <em>Research in Higher Education</em>, <em>32</em>(4), 415–431.
  51. Kostagiolas, P., Lavranos, C., &amp; Korfiatis, N. (2019). Learning analytics: Survey data for measuring the impact of study satisfaction on students’ academic self-efficacy and performance. <em>Data in Brief</em>, <em>25</em>, 104051. <a href="https://doi.org/10.1016/j.dib.2019.104051." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.dib.2019.104051.</a>
  52. Kuo, Y-C. (2010). Interaction, internet self-efficacy, and self-regulated learning as predictors of student satisfaction in distance education courses [Doctor of Philosophy dissertation, Utah State University].
  53. Kuo, Y-C., Walker, A. E., Belland, B. R., &amp; Schroder, K. E. E. (2013). A predictive study of student satisfaction in online education programs. <em>The International Review of Research in Open and Distributed Learning</em>, <em>14</em>(1), 16–39.
  54. Kuo, Y C., Walker, A. E., Schroder, K. E. E., &amp; Belland, B. R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. <em>The Internet and Higher Education</em>, <em>20</em>, 35–50.
  55. Lee, Y., &amp; Choi, J. (2011). A review of online course dropout research: Implications for practice and future research. <em>Educational Technology Research and Development</em>, <em>59</em>(5), 593–618. https://doi. org/<a href="https://doi.org/10.1007/s11423-010-9177-y" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s11423-010-9177-y</a>
  56. Li, K. (2019). MOOC learners’ demographics, selfregulated learning strategy, perceived learning and satisfaction: A structural equation modeling approach. <em>Computers &amp; Education</em>, <em>132</em>(1), 16–30, <a href="https://doi.org/10.1016/j.compedu.2019.01.003." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.compedu.2019.01.003.</a>
  57. Liaw, S. S. (2008). Investigating students’ perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the blackboard system. <em>Computers &amp; Education</em>, <em>51</em>(2), 864–873.
  58. Liaw, SS.,&amp; Huang, HM. (2007). Developing a Collaborative e-Learning System Based on Users’ Perceptions. <em>Lecture Notes in Computer Science</em>, <em>4402</em>, 751-759.
  59. Lim, C. K. (2001). Computer self-efficacy, academic self-concept, and other predictors of satisfaction and future participation of adult distance learners. <em>The American Journal of Distance Education</em>, <em>15</em>(2), 41–50.
  60. Lin, Y. M., Lin, G. Y., &amp; Laffey, J. (2008). Building a social and motivational framework for understanding satisfaction in online learning. <em>Journal of Educational Computing Research</em>, <em>38</em>(1), 1–27.
  61. Lionarakis, A. (2009). The development of methodological approaches (Teaching) of lifelong distance education programs. Institute of Adult Continuing Education (IDEKE), (in Greek).
  62. Loizidou-Chatzitheodoulou, P., Vasala, P., Kakouris, A., Mavroeidis, H., &amp; Tassios, Th. (2001). Forms of communication in distance education and their contribution to the educational process. The case of students of postgraduate course on “Open and Distance Education” in HOU. Practical suggestions. <em>In the Proceedings of the 1st National Conference on Open and Distance Education</em>, pp. 75–88, Patra, Greece. In Greek.
  63. Michis A. (2013). Readiness for self-directed learning and satisfaction of HOU students: Individual differences and correlations [Master Thesis, Greek Open University, Patra]. In Greek.
  64. Moore, M. G. (1980). Independent study. In R. D. Boyd, J. W. Apps, &amp; Associates (Eds.), <em>Redefining the discipline of adult education</em> (pp. 16–31). Jossey-Bass.
  65. Moore, M. G. (1989). Three types of interactions. <em>The American Journal of Distance Education</em>, <em>3</em>(2), 1–6.
  66. Moore, M. G., &amp; Kearsley, G. (1996). <em>Distance education: A systems view</em>. Wadsworth.
  67. Northrup, P., Lee, R., &amp; Burgess, V. (2002). Learner Perceptions of Online Interaction. In P. Barker &amp; S. Rebelsky (Eds.), <em>Proceedings of ED-MEDIA 2002--World Conference on Educational Multimedia, Hypermedia &amp; Telecommunications</em> (pp. 1462-1467). Denver, Colorado, USA: Association for the Advancement of Computing in Education (AACE).
  68. Pike, G. R. (1993). The relationship between perceived learning and satisfaction with college: An alternative view. <em>Research in Higher Education</em>, <em>34</em>(1), 23–40.
  69. Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. <em>International Journal of Educational Research</em>, <em>31</em>(6), 459–470. <a href="https://doi.org/10.1016/S0883-0355(99)00015-4" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/S0883-0355(99)00015-4</a>
  70. Pintrich, P. R. (2000). The role of goal orientation in selfregulated learning. In M. Boekaerts, P. R. Pintrich, &amp; M. Zeidner (Eds.), <em>Handbook of self-regulation</em> (pp. 451–502). Academic.
  71. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. <em>Educational Psychology Review</em>, <em>16</em>(4), 385–407. <a href="https://doi.org/10.1007/s10648-004-0006-x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/s10648-004-0006-x</a>
  72. Pintrich, P. R., Smith, D. A., Garcia, T., &amp; McKeachie, W. J. (1993). Predictive validity and reliability of the motivated strategies for learning questionnaire (MSLQ). <em>Educational and Psychological Measurement</em>, <em>53</em>(3), 801–813.
  73. Puzziferro, M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. <em>The American Journal of Distance Education</em>, <em>22</em>, 72–89. doi:<a href="https://doi.org/10.1080/08923640802039024" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1080/08923640802039024</a>
  74. Reinhart, J., &amp; Schneider, P. (2001). Student satisfaction, self-efficacy, and the perception of the two-way audio/video distance learning environment: A preliminary examination. <em>Quarterly Review of Distance Education</em>, <em>2</em>(4), 357–365.
  75. Rienties, B., Li, N., &amp; Marsh, V. (2015). Modeling and managing student satisfaction: Use of student feedback to enhance learning experience. Quality Assurance Agency..
  76. Rienties, B., &amp; Toetenel, L. (2016). <em>The impact of 151 learning designs on student satisfaction and performance: Social learning (analytics) matters</em>. Proceedings of the Sixth International Conference on Learning Analytics &amp; Knowledge, pp. 339–343. ACM, New York, NY
  77. Rodriguez Robles, F. M. (2006). Learner characteristic, interaction and support service variables as predictors of satisfaction in web-based distance education. Dissertation Abstracts International, 67(7) (UMI No. 3224964).
  78. Schreiner, L. A., & Nelson, D. D. (2013). The contribution of student satisfaction to persistence. Journal of College Student Retention: Research, Theory & Practice, 15(1), 73–111. https://doi.org/10.2190/cs.15.1.f
    Schreiner L. A. & Nelson D. D. ( 2013 ). The contribution of student satisfaction to persistence . Journal of College Student Retention: Research, Theory & Practice , 15 ( 1 ), 73 111 . https://doi.org/ 10.2190/cs.15.1.f
  79. Shen, D., Cho M.-H., Tsai, C.-L., &amp; Marra, R. (2013). Unpacking online learning experiences: Online learning self-efficacy and learning satisfaction. <em>Internet and Higher education</em>, <em>19</em>, 10–17.
  80. Sun, J. C.-Y., &amp; Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. <em>British Journal of Educational Technology</em>, <em>43</em>(2), 191–204. <a href="https://doi.org/10.1111/j.1467-8535.2010.01157.x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1111/j.1467-8535.2010.01157.x</a>
  81. Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y, &amp; Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. <em>Computers &amp; Education</em>, <em>50</em>(4), 1183–1202. Tait, Alan (2003). Reflections on student support in open and distance learning. <em>International Review of Research in Open and Distance Learning</em>, 4(1)
  82. Thatch E. &amp; Murphy K. (1995) Competencies for Distance Education Professionals, <em>Educational Technology Research and Development</em>, <em>43</em>(1)
  83. Tsiaousi, K. (2014). Distance education of municipal officials: Investigation of their readiness for electronic training [Master Thesis, Greek Open University, Patra.In Greek.
  84. Turhangil Erenler, H. H. (2020). A structural equation model to evaluate students’ learning and satisfaction. <em>Computer Applications in Engineering Education</em>, <em>28</em>(2), 254–267. https://doi.org/10.1002/ cae.22189
  85. Tzoutza, S. (2010). Consulting group meetings: Attitudes of graduate students and the Greek Open University Teacher-Advisors. The case of graduate course on “open and distance learning” of the Greek Open University. <em>Open Education – The Journal for Open and Distance Education and Educational Technology</em>, <em>6</em>(1), 46–65.
  86. Vakoufari, M., Angelaki, C., &amp; Mavroidis, I. (2014). Selfesteem and loneliness as factors affecting distance learning students. <em>European Journal of Open, Distance and e-Learning</em>, <em>17</em>(2), 100–116.
  87. Wagner, R., Werner, J., &amp; Schramm, R. (2002). An evaluation of student satisfaction with distance learning courses, Proceedings of 18th Distance Teaching and Learning Annual Conference.. University of Wisconsin-Madison.
  88. Walker S. L., &amp; Fraser B. J. (2005). Development and validation of an instrument for assessing distance education learning environments in higher education: The distance education learning environments survey (DELES). <em>Learning Environments Research</em>, <em>8</em>(3), 289–308 https://doi. org/<a href="https://doi.org/10.1007/s10984-005-1568-3" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1007/s10984-005-1568-3</a>
  89. Winkelmann, R. (2009). Unemployment, social capital, and subjective well-being. <em>Journal of Happiness Studies</em>, <em>10</em>(4), 421–430.
  90. Wu, Y., Xu, X., Xue, J., &amp; Hu, P. (2023). A cross-group comparison study of the effect of interaction on satisfaction in online learning: The parallel mediating role of academic emotions and self-regulated learning. <em>Computers &amp; Education</em>, <em>199</em>(C), 104776. <a href="https://doi.org/10.1016/j.compedu.2023.104776" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1016/j.compedu.2023.104776</a>
  91. Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. <em>Journal of Educational Psychology</em>, <em>81</em>(3), 329–339.
  92. Zimmerman, B. J., &amp; Schunk, D. H. (2011). Self-regulated learning and performance: An introduction and an overview. In B. J. Zimmerman &amp; D. H. Schunk (Eds.), <em>Handbook of self-regulation of learning and performance</em> (pp. 1–12). Routledge.
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