Journal Screenshot

International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

Comparing Deep Self-Directed Learning and Teacher-Led Instruction in the Digital Era: Impact on Student Achievement, Learning Approach Preferences, and Expectations for Teacher

Weinie Li, Adibah Binti Abdul Latif

http://dx.doi.org/10.6007/IJARPED/v14-i1/24585

Open access

In the digital era, students can easily access and process learning resources, which enables them to engage in self-directed learning(SDL) and improve their learning skills. However, when comparing the effect of SDL with teacher-led instruction(TLI), it was found that SDL had no significant advantages regarding students’ learning achievement. This study integrated the elements of deep learning into SDL and compared it with the TLI to see if there were significant differences in students’ learning achievement. It also explored whether students have a preference for learning content regarding SDL or TLI and their expectations for teachers. The data was collected through six consecutive tests and a questionnaire. The findings revealed that the test results of TLI were usually better than those of SDL, but the difference in learning achievements between SDL and TLI was gradually smaller. It was suggested that the students need an adaptation period to deep SDL and a balanced approach incorporating SDL and TLI elements to maximize their learning achievements. Students tended to prefer SDL when the content was operational, specific, and practical. In contrast, they tended to prefer TLI when the content was abstract, theoretical, and complex. Those results highlighted the importance of adopting a flexible approach to accommodating diverse learning needs, content types, and evolving expectations for teachers.

Bania, A. S., Nuraini, N., & Ulfa, M. (2020). Character and Student Ability of Covid-19 Understanding in Digital Era in 2020. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities, 3(3), 2233-2240. https://doi.org/10.33258/birci.v3i3.1156
Behar-Horenstein, L. S., Beck, D. E., & Su, Y. (2018). An initial validation study of the self-rating scale of self-directed learning for pharmacy education. American Journal of Pharmaceutical Education, 82(3), 6251. https://doi.org/10.5688/ajpe6251
Chen, J., & Singh, C. K. S. (2024). A Systematic Review on Deep Learning in Education: Concepts, Factors, Models and Measurements. Journal of Education and Educational Research, 7(1), 125-129. https://doi.org/10.54097/gzk2yd38
Chen, L., Tang, X.-J., Liu, Q., & Zhang, X. (2023). Self-directed learning: Alternative for traditional classroom learning in undergraduate ophthalmic education during the COVID-19 pandemic in China. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e15632
Delfino, A. P. (2019). Student engagement and academic performance of students of Partido State University. Asian Journal of University Education, 15(1), n1. https://doi.org/10.24191/ajue.v15i3.05
Eberhard, K. (2023). The effects of visualization on judgment and decision-making: a systematic literature review. Management Review Quarterly, 73(1), 167-214. https://doi.org/10.1007/s11301-021-00235-8
Estaji, M., & Jafari, L. J. (2022). Self-directed learning vs teacher-led instruction: Effects on oral proficiency and speaking structural accuracy. Electronic Journal of Foreign Language Teaching, 19(2). https://doi.org/10.56040/esjo1923
Fawzia, S., & Karim, A. (2024). Exploring the connection between deep learning and learning assessments: a cross-disciplinary engineering education perspective. Humanities and Social Sciences Communications, 11(1), 1-10. https://doi.org/10.1057/s41599-023-02542-9
Gorbunova, A., Lange, C., Savelyev, A., Adamovich, K., & Costley, J. (2024). The Interplay of Self-Regulated Learning, Cognitive Load, and Performance in Learner-Controlled Environments. Education Sciences, 14(8), 860. https://doi.org/10.3390/educsci14080860
Haarms, R., Holtzman, J., Xue, T., & Darbyshire, D. (2018). Chinese Students’ Cultural and Behavioural Differences among Domestic and Internationally Oriented Educational Institutions. International Journal of Psychology and Educational Studies, 5(2), 30-38. https://doi.org/10.17220/ijpes.2018.02.4
Hu, L., Hei, D., Wang, H., & Dai, X. (2023). Chinese college students collaborative mobile-assisted language learning experience and flow as a key factor for further adoption. Frontiers in Psychology, 14, 1165332. https://doi.org/10.3389/fpsyg.2023.1165332
Joshi, D. R., Adhikari, K. P., Khanal, B., Khadka, J., & Belbase, S. (2022). Behavioral, cognitive, emotional and social engagement in mathematics learning during COVID-19 pandemic. PloS one, 17(11), e0278052. https://doi.org/10.1371/journal.pone.0278052
Kaeppel, K. (2021). The influence of collaborative argument mapping on college students’ critical thinking about contentious arguments. . Thinking Skills and Creativity, 40, 100809. https://doi.org/10.1016/j.tsc.2021.100809
Khalid, M., Bashir, S., & Amin, H. (2020). Relationship between Self-Directed Learning (SDL) and Academic Achievement of University Students: A Case of Online Distance Learning and Traditional Universities. Bulletin of Education and Research, 42(2), 131-148. https://files.eric.ed.gov/fulltext/EJ1281053.pdf
Leddo, J., Boddu, B., Krishnamurthy, S., Yuan, K., & Chippala, S. (2017). The effectiveness of self-directed learning vs. teacher-led learning on gifted and talented vs. non-gifted and talented students. International Journal of Advanced Educational Research, 2(6), 18-21. https://doi.org/10.46609/ijsser.2023.v08i02.007
LeFlore, J. L., Anderson, M., Michael, J. L., Engle, W. D., & Anderson, J. (2007). Comparison of self-directed learning versus instructor-modeled learning during a simulated clinical experience. Simulation in Healthcare, 2(3), 170-177. https://doi.org/10.1097/sih.0b013e31812dfb46
Lin, X., & Su, S. (2020). Chinese College Students' Attitude and Intention of Adopting Mobile Learning. International Journal of Education and Development Using Information and Communication Technology, 16(2), 6-21. https://doi.org/10.15719/geba.15.3.201406.379
Liu, E., Zhao, J., & Sofeia, N. (2022). Students’ entire deep learning personality model and perceived teachers’ emotional support. Frontiers in Psychology, 12, 793548. https://doi.org/10.3389/fpsyg.2021.793548
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies.
Nasri, N. M., Halim, L., & Abd Talib, M. A. (2020). Self-Directed Learning Curriculum: Students' Perspectives of University Learning Experiences. Malaysian Journal of Learning and Instruction, 17(2), 227-251. https://doi.org/10.32890/mjli2020.17.2.8
Nelson Laird, T. F., Shoup, R., & Kuh, G. D. (2006). Measuring deep approaches to learning using the National Survey of Student Engagement.
Oc, Y., & Hassen, H. (2024). Comparing the effectiveness of multiple-answer and single-answer multiple-choice questions in assessing student learning. Marketing Education Review, 1-14. https://doi.org/10.1080/10528008.2024.2417106
Panadero, E., Alonso-Tapia, J., García-Pérez, D., Fraile, J., Galán, J. M. S., & Pardo, R. (2021). Deep learning self-regulation strategies: Validation of a situational model and its questionnaire. Revista de Psicodidáctica (English ed.), 26(1), 10-19. https://doi.org/10.1016/j.psicoe.2020.11.003
Ruzek, E. A., Hafen, C. A., Allen, J. P., Gregory, A., Mikami, A. Y., & Pianta, R. C. (2016). How teacher emotional support motivates students: The mediating roles of perceived peer relatedness, autonomy support, and competence. Learning and instruction, 42, 95-103. https://doi.org/10.1016/j.learninstruc.2016.01.004
Shalaby, D. N. M. K. (2024). A pathway from surface to deep online language learning approach: The crucial role of online self-regulation. Reading and Knowledge Magazine, 21(238), 1-41. https://doi.org/10.1016/j.actpsy.2024.104644
Sharma, G., Tripathi, L., Madan, V., & Khatri, E. (2024). A Study of Teachers’ Adaptability Towards Digital Education System: An Empirical Study in Higher Education Perspective. Journal of Informatics Education and Research, 4(2). https://doi.org/10.52783/jier.v4i2.818
Sugden, N., Brunton, R., MacDonald, J., Yeo, M., & Hicks, B. (2021). Evaluating student engagement and deep learning in interactive online psychology learning activities. Australasian Journal of Educational Technology, 37(2), 45-65. https://doi.org/10.14742/ajet.6632
Tekkol, I. A., & Demirel, M. (2018). An investigation of self-directed learning skills of undergraduate students. Frontiers in Psychology, 9, 410879. https://doi.org/10.3389/fpsyg.2018.02324
Yin, H., & Shi, L. (2022). Which type of interpersonal interaction better facilitates college student learning and development in China: Face-to-face or online? ECNU Review of Education, 5(1), 9-36. https://doi.org/10.1177/20965311211010818

Li, W., & Latif, A. B. A. (2025). Comparing Deep Self-Directed Learning and Teacher-Led Instruction in the Digital Era: Impact on Student Achievement, Learning Approach Preferences, and Expectations for Teacher. International Journal of Academic Research in Progressive Education and Development, 14(1), 1154–1168.