IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-04947-0.html
   My bibliography  Save this article

Technological self-efficacy, motivation, and contextual factors in advanced EFL e-learning: a mixed-methods study of strategy use and satisfaction

Author

Listed:
  • Mohamed Mekheimer

    (Beni-Suef University)

Abstract

This mixed-methods study, informed by Social Cognitive Theory, investigates the interplay of technological self-efficacy, intrinsic motivation, and contextual factors in shaping e-learning strategy use and overall satisfaction among advanced EFL university students. A quantitative survey of 147 students provided broad insights, which were enriched by a qualitative case study of three learners offering detailed perspectives. Quantitative results revealed significant positive correlations between technological self-efficacy and both e-learning strategy use and overall satisfaction, as well as between contextual factors and these same outcomes. While intrinsic motivation showed significant correlations with strategy use and satisfaction, it did not directly predict overall satisfaction in the regression analysis. However, this highlights its role in shaping the learners’ choice and application of strategies. The regression model also showed that both technological self-efficacy and positive perceptions of contextual factors were significant direct predictors of overall satisfaction. The analysis of qualitative data underscored the importance of diverse learning strategies (cognitive, metacognitive, and social-affective) and highlighted key contextual factors, such as structured curricula, formative assessments, interactive instruction, and opportunities for peer interaction. Furthermore, findings indicated that years of study influenced e-learning strategy use, and that prior online learning experience was linked to overall satisfaction. These findings emphasize the need for e-learning environments that foster technological self-efficacy and positive perceptions of contextual factors, and that support intrinsic motivation through engagement and challenge. Further research is recommended to explore these complex interactions in varied learning contexts and with larger and more diverse samples to identify specific patterns and developmental trajectories in e-learning.

Suggested Citation

  • Mohamed Mekheimer, 2025. "Technological self-efficacy, motivation, and contextual factors in advanced EFL e-learning: a mixed-methods study of strategy use and satisfaction," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04947-0
    DOI: 10.1057/s41599-025-04947-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-04947-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-025-04947-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jing Li & Chi-Hui Wu, 2023. "Determinants of Learners’ Self-Directed Learning and Online Learning Attitudes in Online Learning," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    2. Leyli Nouraei Yeganeh & Nicole Scarlett Fenty & Yu Chen & Amber Simpson & Mohsen Hatami, 2025. "The Future of Education: A Multi-Layered Metaverse Classroom Model for Immersive and Inclusive Learning," Future Internet, MDPI, vol. 17(2), pages 1-55, February.
    3. Russell Belk, 2021. "Ethical issues in service robotics and artificial intelligence," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 860-876, October.
    4. Xinyi Huang & Di Zou & Gary Cheng & Haoran Xie, 2021. "A Systematic Review of AR and VR Enhanced Language Learning," Sustainability, MDPI, vol. 13(9), pages 1-28, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martin Krajčovič & Gabriela Gabajová & Marián Matys & Patrik Grznár & Ľuboslav Dulina & Róbert Kohár, 2021. "3D Interactive Learning Environment as a Tool for Knowledge Transfer and Retention," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    2. Xinjie Deng & Zhonggen Yu, 2022. "A Systematic Review of Machine-Translation-Assisted Language Learning for Sustainable Education," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    3. Alexandra Youssofi & Florence Jeannot & Eline Jongmans & Maud Dampérat, 2023. "Designing the digitalized guest experience: A comprehensive framework and research agenda," Post-Print halshs-04316014, HAL.
    4. Jochen Wirtz & Valentina Pitardi, 2023. "How intelligent automation, service robots, and AI will reshape service products and their delivery," Italian Journal of Marketing, Springer, vol. 2023(3), pages 289-300, September.
    5. Wenhe Min & Zhonggen Yu, 2023. "A Bibliometric Analysis of Augmented Reality in Language Learning," Sustainability, MDPI, vol. 15(9), pages 1-15, April.
    6. Malika Malika & Tanuka Ghoshal & Pragya Mathur & Durairaj Maheswaran, 2024. "Does scarcity increase or decrease donation behaviors? An investigation considering resource-specific scarcity and individual person-thing orientation," Journal of the Academy of Marketing Science, Springer, vol. 52(2), pages 426-448, March.
    7. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Al-Anzi, Fawaz S., 2023. "The knowledge and innovation challenges of ChatGPT: A scoping review," Technology in Society, Elsevier, vol. 75(C).
    8. Alice Hiu Yan Cheung & Lixun Wang, 2021. "Exploring Hong Kong Youth Culture via a Virtual Reality Tour," Sustainability, MDPI, vol. 13(23), pages 1-13, December.
    9. Ai-Hsuan Chiang & Szu-Yu Chou, 2023. "Exploring robot service quality priorities for different levels of intimacy with service," Service Business, Springer;Pan-Pacific Business Association, vol. 17(4), pages 913-935, December.
    10. Vishwakarma, Laxmi Pandit & Singh, Rajesh Kr & Mishra, Ruchi & Demirkol, Denizhan & Daim, Tugrul, 2024. "The adoption of social robots in service operations: A comprehensive review," Technology in Society, Elsevier, vol. 76(C).
    11. Muhammad Rhies Khan & Mustaghis-Ur Rahman & Anita Laila & Ali Gohar & Sana Azhar, 2023. "Maintaining Business Ethics during COVID-19 Pandemic in Globalized World: A Comparison of Ethical Theories and Future Research Perspective," Journal of Economic Impact, Science Impact Publishers, vol. 5(1), pages 42-49.
    12. Yogesh Dwivedi & Janarthanan Balakrishnan & Abdullah Baabdullah & Ronnie Das, 2023. "Do Chatbots Establish “Humanness” in the Customer Purchase Journey? An Investigation Through Explanatory Sequential Design," Post-Print hal-04533557, HAL.
    13. Bing Chen & Yunqing Wang & Lianghui Wang, 2022. "The Effects of Virtual Reality-Assisted Language Learning: A Meta-Analysis," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    14. Yan Tang & Na Zhang & Shen Liu, 2025. "A bibliometric analysis of publications on the ethical considerations of sex robots (2003‒2022)," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.
    15. Nadine Bachmann & Shailesh Tripathi & Manuel Brunner & Herbert Jodlbauer, 2022. "The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals," Sustainability, MDPI, vol. 14(5), pages 1-33, February.
    16. Weiwei Jia & Han Li & Meimei Jiang & Liang Wu, 2023. "Melting the Psychological Boundary: How Interactive and Sensory Affordance Influence Users’ Adoption of Digital Heritage Service," Sustainability, MDPI, vol. 15(5), pages 1-21, February.
    17. Ali, Omar & Murray, Peter A. & Momin, Mujtaba & Dwivedi, Yogesh K. & Malik, Tegwen, 2024. "The effects of artificial intelligence applications in educational settings: Challenges and strategies," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    18. Russell W. Belk & Daniel Belanche & Carlos Flavián, 2023. "Key concepts in artificial intelligence and technologies 4.0 in services," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 1-9, March.
    19. Yi-Pin Huang & Xiao-Li Zheng & Chuang-Kai Chiu & Jun Lei & Gang Yang & Hoisoo Kim & Feng Wang, 2021. "Towards Figurative Expression Enhancement: Effects of the SVVR-Supported Worked Example Approach on the Descriptive Writing of Highly Engaged Students," Sustainability, MDPI, vol. 13(21), pages 1-19, November.
    20. Di Zou & Haoran Xie, 2021. "Vocabulary Learning Based on Learner-Generated Pictorial Annotations: Using Big Data as Learning Resources," Sustainability, MDPI, vol. 13(11), pages 1-17, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04947-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.