A Study on Pathways for Cultivating Students' Autonomous Learning Abilities in the Context of Digital Transformation -- From the Perspective of Self-Determination Theory
Abstract
crucial. This is not only a vital cornerstone for enhancing learning outcomes but also an essential requirement for shaping lifelong learners and
nurturing innovative talent. According to Self-Determination Theory, when an individual's three basic psychological needsautonomy, competence and relatednessare met, they are better able to harness intrinsic motivation, thereby achieving self-determined learning behaviour.
The study found that external environmental factors act as a double-edged sword regarding the need for autonomy; complex learning contexts
present both opportunities and challenges, leading to a reduced sense of competence; and the need for relatedness in digital learning environments has a dual nature. To enhance students' autonomous learning abilities, educators should satisfy students' need for autonomy to stimulate
intrinsic motivation; foster a 'sense of competence' to ignite students' drive for autonomous learning; and meet the need for group relatedness
to promote students' autonomous learning.
Keywords
Full Text:
PDFReferences
[1] He Jisheng, Liu Xiangjiao. Design of an Assessment Scale for Junior Secondary Students' Autonomous Learning Abilities [J]. Journal of
Hunan University of Science and Technology, 2015, 36(05): 160162.
[2] Pang Weiguo. On Students' Autonomous Learning [J]. Journal of East China Normal University (Education Science Edition), 2001(2).
[3] Liu Lihong, Zhang Jijia. Self-Determination Theory of Motivation and Its Applications [J]. Journal of South China Normal University
(Social Sciences Edition), 2010(4): 5359.
[4] BLACK A E, DECI EL. The Effects of Instructors' Autonomy Support and Students' Autonomous Motivation on Learning Organic
Chemistry: A Self-Determination Theory Perspective [J]. Science Education, 2000 (6).
[5] Cheng Jianfeng. An Empirical Study on Factors Influencing University Students' Online Autonomous Learning Abilities in English [J].
Chinese Educational Technology, 2023, (09): 123131.
DOI: http://dx.doi.org/10.70711/wef.v3i12.9427
Refbacks
- There are currently no refbacks.