The Impact of Cognitive Load Theory on Online Learning Outcomes for Adolescent Students
DOI:
https://doi.org/10.54097/ehss.v18i.10946Keywords:
CLT; online learning; adolescent students.Abstract
In recent years, the popularity of online learning has reshaped the traditional behavioral model of teaching and learning while making learning more convenient. Cognitive Load Theory (CLT), which characterizes the total amount of attention or mental power used by people in working memory from the perspective of information processing, has become an important theoretical basis for education, psychology, computer science, and other fields. Cognitive load theory provides a practical instructional design theory, which provides a guide for the construction of effective online learning systems. In this paper, under the guidance of cognitive load theory, the optimal online learning path is investigated by studying the factors influencing the effectiveness of online learning for adolescents and combining them with online learning practices.
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References
John Sweller. Cognitive load during problem solving: Effects on learning [J]. Cognitive Science, 1988, 12(2).
Kathleen E. Pickens. Applying Cognitive Load Theory Principles to Library Instructional Guidance[J]. Journal of Library & Information Services in Distance Learning, 2016, 11(1-2).
Kathleen E. Pickens. Applying Cognitive Load Theory Principles to Library Instructional Guidance[J]. Journal of Library & Information Services in Distance Learning,2016, 11(1-2).
Yen-Ting Lin,Yi-Chun Lin. Effects of mental process integrated nursing training using mobile device on students' cognitive load, learning attitudes, acceptance, and achievements.[J]. Computers in Human Behavior,2016,55.
Bishara Saied. Linking cognitive load, mindfulness, and self-efficacy in college students with and without learning disabilities[J]. European Journal of Special Needs Education,2022,37(3).
Wawan,Ningsih E F,Widodo S A,Leonard,Sary R M,Retnowati E. The Cognitive Load of Learners in the Learning Process of the Rotating Object Volume[J]. Journal of Physics: Conference Series,2019,1315.
Chiao Ling Huang,Yi Fang Luo,Shu Ching Yang,Chia Mei Lu,An-Sing Chen. Influence of Students’ Learning Style, Sense of Presence, and Cognitive Load on Learning Outcomes in an Immersive Virtual Reality Learning Environment[J]. Journal of Educational Computing Research,2020,58(3).
Yi Zhang,Bei-Lei Chen,Jun Ge,Cheng-Yu Hung,Lin Mei. When is the best time to use rubrics in flipped learning? A study on students’ learning achievement, metacognitive awareness, and cognitive load[J]. Interactive Learning Environments,2019,27(8).
Chen Ouhao,Woolcott Geoff. Technology-enhanced mathematics learning: A perspective from Cognitive Load Theory[J]. Journal of Physics: Conference Series,2019,1320.
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