Research Article

Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology

Volume: 13 Number: 1 April 28, 2026

Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology

Abstract

Self-regulation and self-directedness have recently become closely associated with technology. The aim of this study is to examine middle school students’ levels of self-regulation skills and self-directed learning (SDL) with technology in terms of technology-related variables. The study was conducted using the general survey model, and the participant group consisted of 468 middle school students. The study revealed that middle school students' self-regulation skills and their levels of SDL with technology significantly varied based on how frequently they used e-learning platforms outside of school, in favor of those who used them more frequently. It was also determined that students' self-regulation skills and their SDL with technology significantly differed based on their purpose of technology use, and students who used technology for educational purposes had significantly higher self-regulation skills and SDL with technology compared to those who used it primarily for communication or entertainment. The study also revealed that middle school students' self-regulation skills did not significantly differ based on their AI usage competence. However, their self-directed learning with technology levels significantly varied by this variable, with higher competence corresponding to higher SDL with technology. Additionally, the analysis showed that self-regulation skills and SDL with technology increased with greater access to technology, but the relationship was not significant. At this point, it is recommended that students be trained to use e-learning platforms outside of school and to employ technologies for educational purposes in order to enhance their levels of self-regulation and self-directedness. Furthermore, educating children on how to use GenAI tools such as ChatGPT more effectively in their self-regulated learning processes can also be presented as an important recommendation. At this point, it can be argued that, in addition to computer science courses, subjects like social studies that incorporate technology-related content may also serve these purposes.

Keywords

Technology, education, self-directed learning, self-regulated learning, social studies.

Supporting Institution

This research received no funding.

Ethical Statement

The ethical approval for the study was obtained from the Ethics Committee of Bayburt University with the decision dated 12.03.2025, and numbered E-79126184-050.99-262082.

References

  1. An, F., Xi, L., Yu, J., & Zhang, M. (2022). Relationship between technology acceptance and self-directed learning: Mediation role of positive emotions and technological self-efficacy. Sustainability, 14, Article 10390. https://doi.org/10.3390/su141610390
  2. Arzeen, N., Arzeen, S., & Muhammad, H. (2023). The mediating role of self-directed learning and e-learning readiness in relationship between ICT self-efficacy and student engagement. Journal of Development and Social Sciences, 4(2), 286–300. https://doi.org/10.47205/jdss.2023(4-II)26
  3. Baek, S.-G., Song, W.-R., & Shin, S.-W. (2024). The effects of high school students’ self-directed learning on academic achievement through ICT utilization ability. The SNU Journal of Education Research, 33(2), 1–29. https://doi.org/10.54346/sjer.2024.33.2.1
  4. Barasa, G. M., Mbugua, S., & Anselemo, P. I. (2022). Technology-enabled self-directed learning in developing countries: Adoption framework. International Journal of Computer Applications Technology and Research, 11(4), 98–102. https://doi.org/10.7753/IJCATR1104.1003
  5. Behforouz, B., & Al Ghaithi, A. (2024). The impact of using interactive chatbots on self-directed learning. Studies in Self-Access Learning Journal, 15(3), 317–344. https://doi.org/10.37237/150302
  6. Boekaerts, M. (1999). Self-regulated learning: Where we are today. International Journal of Educational Research, 31(6), 445–457. https://doi.org/10.1016/S0883-0355(99)00014-2
  7. Bosch, C., & Kruger, D. (2024). AI chatbots as open educational resources: Enhancing student agency and self-directed learning. Italian Journal of Educational Technology, 32(1), 53–68. https://doi.org/10.17471/2499-4324/1326
  8. Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö. E., Karadeniz, Ş., & Demirel, F. (2017). Bilimsel araştırma yöntemleri. Pegem Akademi.
  9. Cosnefroy, L., & Carré, P. (2014). Self-regulated and self-directed learning: Why don’t some neighbors communicate? International Journal of Self-Directed Learning, 11(2), 1–12.
  10. Dawson, S., Macfadyen, L., Risko, E. F., Foulsham, T., & Kingstone, A. (2012). Using technology to encourage self-directed learning: The Collaborative Lecture Annotation System (CLAS) [Conference paper]. ASCILITE 2012: Future Challenges, Sustainable Futures.
APA
Akeren, İ., & Yetişensoy, O. (2026). Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology. E-Kafkas Journal of Educational Research, 13(1), 21-33. https://doi.org/10.30900/kafkasegt.1751929
AMA
1.Akeren İ, Yetişensoy O. Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology. e-KJER. 2026;13(1):21-33. doi:10.30900/kafkasegt.1751929
Chicago
Akeren, İhsan, and Okan Yetişensoy. 2026. “Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning With Technology”. E-Kafkas Journal of Educational Research 13 (1): 21-33. https://doi.org/10.30900/kafkasegt.1751929.
EndNote
Akeren İ, Yetişensoy O (April 1, 2026) Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology. e-Kafkas Journal of Educational Research 13 1 21–33.
IEEE
[1]İ. Akeren and O. Yetişensoy, “Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology”, e-KJER, vol. 13, no. 1, pp. 21–33, Apr. 2026, doi: 10.30900/kafkasegt.1751929.
ISNAD
Akeren, İhsan - Yetişensoy, Okan. “Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning With Technology”. e-Kafkas Journal of Educational Research 13/1 (April 1, 2026): 21-33. https://doi.org/10.30900/kafkasegt.1751929.
JAMA
1.Akeren İ, Yetişensoy O. Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology. e-KJER. 2026;13:21–33.
MLA
Akeren, İhsan, and Okan Yetişensoy. “Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning With Technology”. E-Kafkas Journal of Educational Research, vol. 13, no. 1, Apr. 2026, pp. 21-33, doi:10.30900/kafkasegt.1751929.
Vancouver
1.İhsan Akeren, Okan Yetişensoy. Investigating the Relationship Between Technology-Related Variables and Middle School Students’ Self-Regulation and Self-Directed Learning with Technology. e-KJER. 2026 Apr. 1;13(1):21-33. doi:10.30900/kafkasegt.1751929