Skip to main content
Erschienen in: Education and Information Technologies 3/2021

06.01.2021

Technological factors of students’ persistence in online courses in higher education: The moderating role of gender, age and prior online course experience

verfasst von: Sawsen Lakhal, Hager Khechine

Erschienen in: Education and Information Technologies | Ausgabe 3/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The aim of this study was to verify if technological factors have an influence on persistence in online courses. A theoretical model encompassing seven variables was tested, some of them borrowed from the Unified Theory of Acceptance and Use of Technology: performance expectancy, effort expectancy, social influence, facilitating conditions, attitude, anxiety and persistence in online courses. Three moderating variables (gender, age and prior online course experience) were also considered in the analyses. Data were collected among a sample of 430 students using an online questionnaire. The obtained results strongly support 6 of the 9 research hypotheses for the proposed model. Correlations revealed significant associations between persistence in online courses on the one hand and performance expectancy, effort expectancy, social influence, facilitating conditions, attitude, and anxiety on the other hand. A series of multiple linear regressions examined the predictability of persistence in online courses by the technological factors considered in the study for the whole sample, and for each gender, age and prior online course experience group. They showed that these factors explained 18.9% to 45.7% of the variability in persistence in online courses. The discussion focuses on how different technological factors explain persistence.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Abdous, M. H. (2019). Influence of satisfaction and preparedness on online students’ feelings of anxiety. The Internet and Higher Education, 41, 34–44.CrossRef Abdous, M. H. (2019). Influence of satisfaction and preparedness on online students’ feelings of anxiety. The Internet and Higher Education, 41, 34–44.CrossRef
Zurück zum Zitat Adachi, C., Tai, J. H. M., & Dawson, P. (2018a). Academics’ perceptions of the benefits and challenges of self and peer assessment in higher education. Assessment & Evaluation in Higher Education, 43(2), 294–306.CrossRef Adachi, C., Tai, J. H. M., & Dawson, P. (2018a). Academics’ perceptions of the benefits and challenges of self and peer assessment in higher education. Assessment & Evaluation in Higher Education, 43(2), 294–306.CrossRef
Zurück zum Zitat Adachi, C., Tai, J. H. M., & Dawson, P. (2018b). Academics’ perceptions of the benefits and challenges of self and peer assessment in higher education. Assessment & Evaluation in Higher Education, 43(2), 294–306.CrossRef Adachi, C., Tai, J. H. M., & Dawson, P. (2018b). Academics’ perceptions of the benefits and challenges of self and peer assessment in higher education. Assessment & Evaluation in Higher Education, 43(2), 294–306.CrossRef
Zurück zum Zitat Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRef Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRef
Zurück zum Zitat Alraimi, K. M., Zo, H., & Ciganek, A. P. (2015). Understanding the MOOCs continuance: The role of openness and reputation. Computers & Education, 80, 28–38.CrossRef Alraimi, K. M., Zo, H., & Ciganek, A. P. (2015). Understanding the MOOCs continuance: The role of openness and reputation. Computers & Education, 80, 28–38.CrossRef
Zurück zum Zitat Arbaugh, J. B. (2014). System, scholar or students? Which most influences online MBA course effectiveness? Journal of Computer Assisted Learning, 30(4), 349–362.CrossRef Arbaugh, J. B. (2014). System, scholar or students? Which most influences online MBA course effectiveness? Journal of Computer Assisted Learning, 30(4), 349–362.CrossRef
Zurück zum Zitat Arhin, V., & Wang’eri, T. (2018). Orientation programs and student retention in distance learning: The case of University of Cape Coast. Journal of Educators Online, 15(1), 1–12.CrossRef Arhin, V., & Wang’eri, T. (2018). Orientation programs and student retention in distance learning: The case of University of Cape Coast. Journal of Educators Online, 15(1), 1–12.CrossRef
Zurück zum Zitat Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.CrossRef Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.CrossRef
Zurück zum Zitat Beaudry, A., & Pinsonneault, A. (2010). The other side of acceptance: Studying the direct and indirect effects of emotions on information technology use. MIS Quarterly, 34(4), 689–710.CrossRef Beaudry, A., & Pinsonneault, A. (2010). The other side of acceptance: Studying the direct and indirect effects of emotions on information technology use. MIS Quarterly, 34(4), 689–710.CrossRef
Zurück zum Zitat Bernard, R. M., Abrami, P. C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallet, P. A., Fiset, M., & Euan, B. (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature. Review of Educational Research, 74(3), 379–439.CrossRef Bernard, R. M., Abrami, P. C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallet, P. A., Fiset, M., & Euan, B. (2004). How does distance education compare with classroom instruction? A meta-analysis of the empirical literature. Review of Educational Research, 74(3), 379–439.CrossRef
Zurück zum Zitat Bozionelos, N. (2004). Socio-economic background and computer use: The role of computer anxiety and computer experience in their relationship. International Journal of Human-Computer Studies, 61(5), 725–746.CrossRef Bozionelos, N. (2004). Socio-economic background and computer use: The role of computer anxiety and computer experience in their relationship. International Journal of Human-Computer Studies, 61(5), 725–746.CrossRef
Zurück zum Zitat Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13.CrossRef Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1–13.CrossRef
Zurück zum Zitat Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1–13.CrossRef Cai, Z., Fan, X., & Du, J. (2017). Gender and attitudes toward technology use: A meta-analysis. Computers & Education, 105, 1–13.CrossRef
Zurück zum Zitat Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategies: A theoretically based approach. Journal of Personality and Social Psychology, 56(2), 267–283.CrossRef Carver, C. S., Scheier, M. F., & Weintraub, J. K. (1989). Assessing coping strategies: A theoretically based approach. Journal of Personality and Social Psychology, 56(2), 267–283.CrossRef
Zurück zum Zitat Cheng, Y. M. (2014). Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention. Information Technology & People, 27(3), 230–258.CrossRef Cheng, Y. M. (2014). Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention. Information Technology & People, 27(3), 230–258.CrossRef
Zurück zum Zitat Chiu, C. M., & Wang, E. T. (2008). Understanding web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201.MathSciNetCrossRef Chiu, C. M., & Wang, E. T. (2008). Understanding web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201.MathSciNetCrossRef
Zurück zum Zitat Cho, M. H. (2012). Online student orientation in higher education: A developmental study. Educational Technology Research and Development, 60(6), 1051–1069.CrossRef Cho, M. H. (2012). Online student orientation in higher education: A developmental study. Educational Technology Research and Development, 60(6), 1051–1069.CrossRef
Zurück zum Zitat Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273–290.CrossRef Cidral, W. A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers & Education, 122, 273–290.CrossRef
Zurück zum Zitat Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.CrossRef Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189–211.CrossRef
Zurück zum Zitat Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. Rinehart and Winston, Orlando: Holt. Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. Rinehart and Winston, Orlando: Holt.
Zurück zum Zitat Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.MATHCrossRef Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334.MATHCrossRef
Zurück zum Zitat Damnjanovic, V., Jednak, S., & Mijatovic, I. (2015). Factors affecting the effectiveness and use of Moodle: students’ perception. Interactive Learning Environments, 23(4), 496–514.CrossRef Damnjanovic, V., Jednak, S., & Mijatovic, I. (2015). Factors affecting the effectiveness and use of Moodle: students’ perception. Interactive Learning Environments, 23(4), 496–514.CrossRef
Zurück zum Zitat Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRef Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRef
Zurück zum Zitat Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.CrossRef
Zurück zum Zitat Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.CrossRef Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.CrossRef
Zurück zum Zitat Donovan, T., Bates, T., Seaman, J., Mayer, D., Martel, E., Paul, R., et al. (2019). Tracking online and distance education in Canadian universities and colleges: 2018. Vancouver BC: Canadian Digital Learning Research Association. Donovan, T., Bates, T., Seaman, J., Mayer, D., Martel, E., Paul, R., et al. (2019). Tracking online and distance education in Canadian universities and colleges: 2018. Vancouver BC: Canadian Digital Learning Research Association.
Zurück zum Zitat El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743–763.CrossRef El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the unified theory of acceptance and use of technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743–763.CrossRef
Zurück zum Zitat Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Zurück zum Zitat Gazza, E. A., & Hunker, D. F. (2014). Facilitating student retention in online graduate nursing education programs: A review of the literature. Nurse Education Today, 34(7), 1125–1129.CrossRef Gazza, E. A., & Hunker, D. F. (2014). Facilitating student retention in online graduate nursing education programs: A review of the literature. Nurse Education Today, 34(7), 1125–1129.CrossRef
Zurück zum Zitat Gosmire, D., Morrison, M., & Van Osdel, J. (2009). Perceptions of interactions in online courses. MERLOT Journal of Online Learning and Teaching, 5(4), 609–617. Gosmire, D., Morrison, M., & Van Osdel, J. (2009). Perceptions of interactions in online courses. MERLOT Journal of Online Learning and Teaching, 5(4), 609–617.
Zurück zum Zitat Hachey, A. C., Wladis, C. W., & Conway, K. M. (2014). Do prior online course outcomes provide more information than G.P.a. alone in predicting subsequent online course grades and retention? An observational study at an urban community college. Computers & Education, 72, 59–67.CrossRef Hachey, A. C., Wladis, C. W., & Conway, K. M. (2014). Do prior online course outcomes provide more information than G.P.a. alone in predicting subsequent online course grades and retention? An observational study at an urban community college. Computers & Education, 72, 59–67.CrossRef
Zurück zum Zitat Hsu, Y.-C., Shiue, Y.-M., & Sheng, M.-H. (2016). Continuous intention formation in E-tutoring system: Examining the roles of self-determined motivators, social and technological influences. In Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering IEEE-ICAMSE. https://doi.org/10.1109/ICAMSE.2016.7840276. Hsu, Y.-C., Shiue, Y.-M., & Sheng, M.-H. (2016). Continuous intention formation in E-tutoring system: Examining the roles of self-determined motivators, social and technological influences. In Proceedings of the IEEE International Conference on Advanced Materials for Science and Engineering IEEE-ICAMSE. https://​doi.​org/​10.​1109/​ICAMSE.​2016.​7840276.
Zurück zum Zitat Islam, A. N. (2013). Investigating e-learning system usage outcomes in the university context. Computers & Education, 69, 387–399.CrossRef Islam, A. N. (2013). Investigating e-learning system usage outcomes in the university context. Computers & Education, 69, 387–399.CrossRef
Zurück zum Zitat Islam, A. N., & Azad, N. (2015). Satisfaction and continuance with a learning management system: Comparing perceptions of educators and students. The International Journal of Information and Learning Technology, 32(2), 109–123.CrossRef Islam, A. N., & Azad, N. (2015). Satisfaction and continuance with a learning management system: Comparing perceptions of educators and students. The International Journal of Information and Learning Technology, 32(2), 109–123.CrossRef
Zurück zum Zitat Joo, Y. J., Joung, S., & Sim, W. J. (2011a). Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities. Computers in Human Behavior, 27(2), 714–722.CrossRef Joo, Y. J., Joung, S., & Sim, W. J. (2011a). Structural relationships among internal locus of control, institutional support, flow, and learner persistence in cyber universities. Computers in Human Behavior, 27(2), 714–722.CrossRef
Zurück zum Zitat Joo, Y. J., Lim, K. Y., & Kim, E. K. (2011b). Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model. Computers & Education, 57(2), 1654–1664.CrossRef Joo, Y. J., Lim, K. Y., & Kim, E. K. (2011b). Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model. Computers & Education, 57(2), 1654–1664.CrossRef
Zurück zum Zitat Kember, D. (1989). A longitudinal-process model of drop-out from distance education. Journal of Higher Education, 60(3), 278–301.CrossRef Kember, D. (1989). A longitudinal-process model of drop-out from distance education. Journal of Higher Education, 60(3), 278–301.CrossRef
Zurück zum Zitat Khechine, H., & Lakhal, S. (2015). Effects of webinar use on student performance in higher education: What about grades? In L. G. Chova, A. L. Martińez, & I. C. Torres (Eds.), EDULEARN15 Proceedings (pp. 329–337). Barcelona: IATED. Khechine, H., & Lakhal, S. (2015). Effects of webinar use on student performance in higher education: What about grades? In L. G. Chova, A. L. Martińez, & I. C. Torres (Eds.), EDULEARN15 Proceedings (pp. 329–337). Barcelona: IATED.
Zurück zum Zitat Khechine, H., & Lakhal, S. (2018). Technology as a double-edged sword: From behavior prediction with UTAUT to students’ outcomes considering personal characteristics. Journal of Information Technology Education, 17(1), 63–102.CrossRef Khechine, H., & Lakhal, S. (2018). Technology as a double-edged sword: From behavior prediction with UTAUT to students’ outcomes considering personal characteristics. Journal of Information Technology Education, 17(1), 63–102.CrossRef
Zurück zum Zitat Khechine, H., Lakhal, S., Bytha, A., & Pascot, D. (2014). UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10(1), 33–52. Khechine, H., Lakhal, S., Bytha, A., & Pascot, D. (2014). UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10(1), 33–52.
Zurück zum Zitat Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 33(2), 138–152.CrossRef Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 33(2), 138–152.CrossRef
Zurück zum Zitat Krajewski, S. (2015). Retention of community college students in online courses. Ph.D. dissertation. Michigan: Western Michigan University. Krajewski, S. (2015). Retention of community college students in online courses. Ph.D. dissertation. Michigan: Western Michigan University.
Zurück zum Zitat Kranzow, J. (2013). Faculty leadership in online education: Structuring courses to impact student satisfaction and persistence. MERLOT Journal of Online Learning and Teaching, 9(1), 131–139. Kranzow, J. (2013). Faculty leadership in online education: Structuring courses to impact student satisfaction and persistence. MERLOT Journal of Online Learning and Teaching, 9(1), 131–139.
Zurück zum Zitat Lakhal, S. (2019). Les déterminants technologiques de la persévérance des étudiants dans les cours à distance de niveau collégial: Les modalités de cours jouent-elles un rôle? Revue canadienne de l’apprentissage et de la technologie/Canadian Journal of Learning & Technology, 45(2), 1–26. Lakhal, S. (2019). Les déterminants technologiques de la persévérance des étudiants dans les cours à distance de niveau collégial: Les modalités de cours jouent-elles un rôle? Revue canadienne de l’apprentissage et de la technologie/Canadian Journal of Learning & Technology, 45(2), 1–26.
Zurück zum Zitat Lakhal, S., & Bazinet, N. (2015). Technological factors explaining student dropout from online courses in higher education: A review. In Carliner, S., Fulford, C., Ostashewski, N. (Eds.) Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 1806–1811). Chesapeake, VA: AACE. Lakhal, S., & Bazinet, N. (2015). Technological factors explaining student dropout from online courses in higher education: A review. In Carliner, S., Fulford, C., Ostashewski, N. (Eds.) Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 1806–1811). Chesapeake, VA: AACE.
Zurück zum Zitat Lakhal, S., & Khechine, H. (2017). Relating personality (big five) to the core constructs of the unified theory of acceptance and use of technology. Journal of Computers in Education, 4(3), 251–282.CrossRef Lakhal, S., & Khechine, H. (2017). Relating personality (big five) to the core constructs of the unified theory of acceptance and use of technology. Journal of Computers in Education, 4(3), 251–282.CrossRef
Zurück zum Zitat Lakhal, S., & Meyer, F. (2019). Blended learning. In A. Tatnall (Ed.), Encyclopedia of education and information technologies. Cham: Springer. Lakhal, S., & Meyer, F. (2019). Blended learning. In A. Tatnall (Ed.), Encyclopedia of education and information technologies. Cham: Springer.
Zurück zum Zitat Lakhal, S., Khechine, H., & Pascot, D. (2013). Student behavioural intentions to use desktop video conferenc-ing in a distance course: Integration of autonomy to the UTAUT model. Journal of Computing in Higher Education, 25(2), 93–121.CrossRef Lakhal, S., Khechine, H., & Pascot, D. (2013). Student behavioural intentions to use desktop video conferenc-ing in a distance course: Integration of autonomy to the UTAUT model. Journal of Computing in Higher Education, 25(2), 93–121.CrossRef
Zurück zum Zitat Lee, K. (2017). Rethinking the accessibility of online higher education: A historical review. The Internet and Higher Education, 33, 15–23.CrossRef Lee, K. (2017). Rethinking the accessibility of online higher education: A historical review. The Internet and Higher Education, 33, 15–23.CrossRef
Zurück zum Zitat Lee, Y., & Choi, J. (2011). A review of online course dropout research: Implications for practice and future research. Educational Technology Research and Development, 59(5), 593–618.CrossRef Lee, Y., & Choi, J. (2011). A review of online course dropout research: Implications for practice and future research. Educational Technology Research and Development, 59(5), 593–618.CrossRef
Zurück zum Zitat Lee, Y., Choi, J., & Kim, T. (2013). Discriminating factors between completers of and dropouts from online learning courses. British Journal of Educational Technology, 44(2), 328–337.CrossRef Lee, Y., Choi, J., & Kim, T. (2013). Discriminating factors between completers of and dropouts from online learning courses. British Journal of Educational Technology, 44(2), 328–337.CrossRef
Zurück zum Zitat Lin, K. M. (2011). E-learning continuance intention: Moderating effects of user e-learning experience. Computers & Education, 56(2), 515–526.CrossRef Lin, K. M. (2011). E-learning continuance intention: Moderating effects of user e-learning experience. Computers & Education, 56(2), 515–526.CrossRef
Zurück zum Zitat Lin, K. M., Chen, N. S., & Fang, K. (2011). Understanding e-learning continuance intention: A negative critical incidents perspective. Behaviour & Information Technology, 30(1), 77–89.CrossRef Lin, K. M., Chen, N. S., & Fang, K. (2011). Understanding e-learning continuance intention: A negative critical incidents perspective. Behaviour & Information Technology, 30(1), 77–89.CrossRef
Zurück zum Zitat Lint, A. H. (2013). E-learning student perceptions on scholarly persistence in the 21st century with social media in higher education. Creative Education, 4(11), 718–725.CrossRef Lint, A. H. (2013). E-learning student perceptions on scholarly persistence in the 21st century with social media in higher education. Creative Education, 4(11), 718–725.CrossRef
Zurück zum Zitat Loyd, B. H., & Gressard, C. (1984). Reliability and factorial validity of computer attitude scales. Educational and Psychological Measurement, 44(2), 501–505.CrossRef Loyd, B. H., & Gressard, C. (1984). Reliability and factorial validity of computer attitude scales. Educational and Psychological Measurement, 44(2), 501–505.CrossRef
Zurück zum Zitat Loyd, B. H., Loyd, D. E., & Gressard, C. P. (1987). Gender and computer experience as factors in the computer attitudes of middle school students. The Journal of Early Adolescence, 7(1), 13–19.CrossRef Loyd, B. H., Loyd, D. E., & Gressard, C. P. (1987). Gender and computer experience as factors in the computer attitudes of middle school students. The Journal of Early Adolescence, 7(1), 13–19.CrossRef
Zurück zum Zitat Mahmodi, M., & Ebrahimzade, I. (2015). The analysis of Iranian students’ persistence in online education. The International Review of Research in Open and Distance Learning, 16(1), 98–119.CrossRef Mahmodi, M., & Ebrahimzade, I. (2015). The analysis of Iranian students’ persistence in online education. The International Review of Research in Open and Distance Learning, 16(1), 98–119.CrossRef
Zurück zum Zitat Mcilroy, D., Sadler, C., & Boojawon, N. (2007). Computer phobia and computer self-efficacy: Their association with undergraduates’ use of university computer facilities. Computers in Human Behavior, 23(3), 1285–1299.CrossRef Mcilroy, D., Sadler, C., & Boojawon, N. (2007). Computer phobia and computer self-efficacy: Their association with undergraduates’ use of university computer facilities. Computers in Human Behavior, 23(3), 1285–1299.CrossRef
Zurück zum Zitat Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1–47.CrossRef Means, B., Toyama, Y., Murphy, R., & Baki, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1–47.CrossRef
Zurück zum Zitat Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 82, 11–25.CrossRef Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 82, 11–25.CrossRef
Zurück zum Zitat Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.CrossRef Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.CrossRef
Zurück zum Zitat Myers, M. P., & Schiltz, P. M. (2012). Use of Elluminate in online teaching of statistics in the health sciences. Journal of Research in Innovative Teaching, 5(1), 53–62. Myers, M. P., & Schiltz, P. M. (2012). Use of Elluminate in online teaching of statistics in the health sciences. Journal of Research in Innovative Teaching, 5(1), 53–62.
Zurück zum Zitat Ouyang, Y., Tang, C., Rong, W., Zhang, L., Yin, C., & Xiong, Z. (2017). Task-technology fit aware expectation-confirmation model towards understanding of MOOCs continued usage intention. In Proceedings of the 50th Hawaii international conference on system sciences (2017), USA (pp. 174–183). https://doi.org/10.24251/hicss.2017.020. Ouyang, Y., Tang, C., Rong, W., Zhang, L., Yin, C., & Xiong, Z. (2017). Task-technology fit aware expectation-confirmation model towards understanding of MOOCs continued usage intention. In Proceedings of the 50th Hawaii international conference on system sciences (2017), USA (pp. 174–183). https://​doi.​org/​10.​24251/​hicss.​2017.​020.
Zurück zum Zitat Packham, G., Jones, P., Miller, C., & Thomas, B. (2004). E-learning and retention: Key factors influencing student withdrawal. Education+ Training, 46(6/7), 335–342.CrossRef Packham, G., Jones, P., Miller, C., & Thomas, B. (2004). E-learning and retention: Key factors influencing student withdrawal. Education+ Training, 46(6/7), 335–342.CrossRef
Zurück zum Zitat Park, J. (2007). Factors related to learner dropout in online learning. In F. M. Nafukho, T. H. Chermack, & C. M. Graham (Eds.), Proceedings of the 2007 Academy of Human Resource Development Annual Conference, 25–1–25-8. Indianapolis, IN: AHRD. Park, J. (2007). Factors related to learner dropout in online learning. In F. M. Nafukho, T. H. Chermack, & C. M. Graham (Eds.), Proceedings of the 2007 Academy of Human Resource Development Annual Conference, 25–1–25-8. Indianapolis, IN: AHRD.
Zurück zum Zitat Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners’ decision to drop out or persist in online learning. Educational Technology and Society, 12(4), 207–217. Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners’ decision to drop out or persist in online learning. Educational Technology and Society, 12(4), 207–217.
Zurück zum Zitat Powell, A. L. (2013). Computer anxiety: Comparison of research from the 1990s and 2000s. Computers in Human Behavior, 29(6), 2337–2381.MathSciNetCrossRef Powell, A. L. (2013). Computer anxiety: Comparison of research from the 1990s and 2000s. Computers in Human Behavior, 29(6), 2337–2381.MathSciNetCrossRef
Zurück zum Zitat Rodríguez-Ardura, I., & Meseguer-Artola, A. (2016). E-learning continuance: The impact of interactivity and the mediating role of imagery, presence and flow. Information & Management, 53(4), 504–516.CrossRef Rodríguez-Ardura, I., & Meseguer-Artola, A. (2016). E-learning continuance: The impact of interactivity and the mediating role of imagery, presence and flow. Information & Management, 53(4), 504–516.CrossRef
Zurück zum Zitat Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet & Higher Education, 6(1), 1–16.CrossRef Rovai, A. P. (2003). In search of higher persistence rates in distance education online programs. The Internet & Higher Education, 6(1), 1–16.CrossRef
Zurück zum Zitat Schifter, D. B., & Ajzen, I. (1985). Intention, perceived control, and weight loss: An application of the theory of planned behaviour. Journal of Personality and Social Psychology, 49, 842–851.CrossRef Schifter, D. B., & Ajzen, I. (1985). Intention, perceived control, and weight loss: An application of the theory of planned behaviour. Journal of Personality and Social Psychology, 49, 842–851.CrossRef
Zurück zum Zitat Shea, P., & Bidjerano, T. (2014). Does online learning impede degree completion? A national study of community college students. Computers & Education, 75, 103–111.CrossRef Shea, P., & Bidjerano, T. (2014). Does online learning impede degree completion? A national study of community college students. Computers & Education, 75, 103–111.CrossRef
Zurück zum Zitat Stiller, K. D., & Köster, A. (2016). Learner attrition in an advanced vocational online training: The role of computer attitude, computer anxiety, and online learning experience. European Journal of Open, Distance and E-Learning, 19(2), 1–14.CrossRef Stiller, K. D., & Köster, A. (2016). Learner attrition in an advanced vocational online training: The role of computer attitude, computer anxiety, and online learning experience. European Journal of Open, Distance and E-Learning, 19(2), 1–14.CrossRef
Zurück zum Zitat Stoessel, K., Ihme, T. A., Barbarino, M. L., Fisseler, B., & Stürmer, S. (2015). Sociodemographic diversity and distance education: Who drops out from academic programs and why? Research in Higher Education, 56(3), 228–246.CrossRef Stoessel, K., Ihme, T. A., Barbarino, M. L., Fisseler, B., & Stürmer, S. (2015). Sociodemographic diversity and distance education: Who drops out from academic programs and why? Research in Higher Education, 56(3), 228–246.CrossRef
Zurück zum Zitat Strevy, S. (2009). Persistence of students in RNBS completion online programs. Ph.D. dissertation. Bloomington, IN: Indiana University. Strevy, S. (2009). Persistence of students in RNBS completion online programs. Ph.D. dissertation. Bloomington, IN: Indiana University.
Zurück zum Zitat Sultan, S., & Hagger, M. (2013). Psychological and socio-demographic correlates of academic performance distinguishing completers and non-completers in distance education. Journal on Educational Psychology, 7(2), 23–29. Sultan, S., & Hagger, M. (2013). Psychological and socio-demographic correlates of academic performance distinguishing completers and non-completers in distance education. Journal on Educational Psychology, 7(2), 23–29.
Zurück zum Zitat Šumak, B., Heričko, M., & Pušnik, M. (2011). A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior, 27(6), 2067–2077.CrossRef Šumak, B., Heričko, M., & Pušnik, M. (2011). A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior, 27(6), 2067–2077.CrossRef
Zurück zum Zitat Tarhini, A., Masa’deh, R. E., Al-Busaidi, K. A., Mohammed, A. B., & Maqableh, M. (2017). Factors influencing students’ adoption of e-learning: A structural equation modeling approach. Journal of International Education in Business, 10(2), 164–182.CrossRef Tarhini, A., Masa’deh, R. E., Al-Busaidi, K. A., Mohammed, A. B., & Maqableh, M. (2017). Factors influencing students’ adoption of e-learning: A structural equation modeling approach. Journal of International Education in Business, 10(2), 164–182.CrossRef
Zurück zum Zitat Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.CrossRef Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.CrossRef
Zurück zum Zitat Thompson, R., Higgins, C., & Howell, J. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143.CrossRef Thompson, R., Higgins, C., & Howell, J. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143.CrossRef
Zurück zum Zitat Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125.CrossRef Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125.CrossRef
Zurück zum Zitat Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd Ed.). Chicago: The University of Chicago Press. Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd Ed.). Chicago: The University of Chicago Press.
Zurück zum Zitat Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.CrossRef Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.CrossRef
Zurück zum Zitat Wang, S.-K., & Hsu, H.-Y. (2008). Use of the webinar tool to support training: The effects of webinar-learning implementation from trainers’ perspective. Journal of Online Interactive Learning, 7(3), 175–194. Wang, S.-K., & Hsu, H.-Y. (2008). Use of the webinar tool to support training: The effects of webinar-learning implementation from trainers’ perspective. Journal of Online Interactive Learning, 7(3), 175–194.
Zurück zum Zitat Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221–232.CrossRef Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221–232.CrossRef
Zurück zum Zitat Wu, B., & Zhang, C. (2014). Empirical study on continuance intentions towards E-learning 2.0 systems. Behaviour & Information Technology, 33(10), 1027–1038.CrossRef Wu, B., & Zhang, C. (2014). Empirical study on continuance intentions towards E-learning 2.0 systems. Behaviour & Information Technology, 33(10), 1027–1038.CrossRef
Zurück zum Zitat Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development, 65(5), 1195–1214.CrossRef Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development, 65(5), 1195–1214.CrossRef
Zurück zum Zitat Yi, S., & Baumgartner, H. (2004). Coping with negative emotions in purchase-related situations. Journal of Consumer Psychology, 14(3), 303–317.CrossRef Yi, S., & Baumgartner, H. (2004). Coping with negative emotions in purchase-related situations. Journal of Consumer Psychology, 14(3), 303–317.CrossRef
Zurück zum Zitat Yoo, S. J., & Huang, W. D. (2013). Engaging online adult learners in higher education: Motivational factors impacted by gender, age, and prior experiences. The Journal of Continuing Higher Education, 61(3), 151–164.CrossRef Yoo, S. J., & Huang, W. D. (2013). Engaging online adult learners in higher education: Motivational factors impacted by gender, age, and prior experiences. The Journal of Continuing Higher Education, 61(3), 151–164.CrossRef
Metadaten
Titel
Technological factors of students’ persistence in online courses in higher education: The moderating role of gender, age and prior online course experience
verfasst von
Sawsen Lakhal
Hager Khechine
Publikationsdatum
06.01.2021
Verlag
Springer US
Erschienen in
Education and Information Technologies / Ausgabe 3/2021
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI
https://doi.org/10.1007/s10639-020-10407-w

Weitere Artikel der Ausgabe 3/2021

Education and Information Technologies 3/2021 Zur Ausgabe

Premium Partner