"disadvantages" of field-dependent learners are not immutable in online teaching environments. As long as the
teaching methods and content presentation are suitable for their characteristics, the potential of these learners can
still be stimulated, leading to better learning outcomes. This places higher demands on instructional designers;
whether online courses can be well-matched to the learners' individual learning styles is directly related to the
quality of their online learning.
CONCLUSION
The online learning environment in the modern distance education environment creates a good psychological
atmosphere for learners. The network can meet the needs of learners with different learning styles and different
learning motivations, allowing learners to comprehensively and fully develop their personality psychology. The
creation of an online learning environment is learner-centered. When creating, it is necessary to fully consider
the learner's prior experience with the Internet and learning content, the learning motivation for the Internet and
the metacognitive ability in the Internet, the learning style in online courses, and certain personality characteristics
of the learner. This can promote effective interaction between online courses and learners, and promote online
learners to achieve effective learning results. Only when designers of online courses have a deep understanding
of learners, teaching content and teaching environment can they create a high-quality online learning environment
for learners, thereby ensuring that learners obtain effective learning results in this course environment.
In conclusion, effective online learning in distance education is a complex interplay of psychological factors
where meta-cognition acts as the regulator, prior knowledge provides the foundation, intrinsic motivation serves
as the engine, and accommodating learning styles ensures the pathway is clear. Future research should empirically
validate the interactions between these factors within adult learning populations and explore the role of emerging
elements such as emotional regulation and social presence. Moreover, leveraging learning analytics and artificial
intelligence to create adaptive learning systems that respond to individual psychological profiles presents a
promising frontier for personalizing and enhancing the online learning experience.
REFERENCES
1. Nie Ruihua. Internet and Distance Education [M]. Beijing: Higher Education Press, 2001.
2. Wang Lu, Feng Hong. Five Factors Affecting Learning Quality in Distance Learning Systems [J]. Journal
of Educational Technology, 2000(7).
3. Wang Ling, Fang Ping, Guo Dejun. The Nature, Structure and Evaluation Methods of Metacognition [J].
Psychological Dynamics, 1999(1).
4. Wang Yan. A New Conception of Learner Characteristic Analysis in Online Teaching Environment [J].
Journal of Yangzhou University (Higher Education Research Edition), 2005(3).
5. Liu Rude, Jiang Tao. The Influence of Learner Characteristics on Online Learning [J]. China Educational
Technology, 2004(6).
6. Yan Guocai. Learning Psychology [M]. Beijing: Police Education Press, 1998.
7. Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online
higher education learning environments: A systematic review. Educational Research Review, 16, 1–13.
8. Jansen, R. S., van Leeuwen, A., Janssen, J., & Kester, L. (2020). Self-regulated learning partially mediates
the effect of self-regulated learning interventions on achievement in higher education: A meta-analysis.
Educational Research Review, 31, 100341.
9. Zheng, L., Li, X., & Huang, R. (2020). The influence of self-regulated learning on learning effectiveness
in MOOC: A meta-analysis. Computers & Education, 153, 103902.
10. Wang, C., & Chen, T. (2021). Effects of learning styles on learners’ behavioral patterns in online
discussion forums: A lag sequential analysis. Computers & Education, 172, 104251.
11. Xie, K., Hensley, L. C., Law, V., & Sun, Z. (2019). Self-regulation as a function of perceived leadership
and cohesion in small group online collaborative learning. British Journal of Educational Technology,
50(2), 456–468.
12. Garrison, D. R. (2017).E-learning in the 21st century: A community of inquiry framework for research
and practice(3rd ed.).Routledge.