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作者:

Lv, Ming (Lv, Ming.) | Liu, Hao (Liu, Hao.) | Zhou, Wenwen (Zhou, Wenwen.) | Zheng, Chenyang (Zheng, Chenyang.)

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摘要:

Micro-courses are characterized by short duration, multiple teaching methods, and ease of dissemination. With the increase in educational informatization, the micro-course has become a significant component of higher education in China. Based on cognitive psychology research, the present study divided the micro-course learning process into three stages: knowledge acquisition, search, and analysis. A comparative cognitive experiment was conducted, with students randomly assigned to micro-course or traditional textbook approach groups. This article proposes a cognitive model that enables a quantitative analysis of cognitive time, accuracy, and efficiency in both types of teaching methods. Compared with those exposed to traditional textbook learning, students exposed to micro-courses had a shorter cognitive time and improved cognitive accuracy. The experimental results indicated that micro-courses improved cognitive efficiency, with an average improvement of 157.51%. The improvement in cognitive efficiency in the micro-course group was much more striking at the higher cognitive stages. Similar additional experiments were conducted to evaluate the proposed cognitive model. The results of these experiments were consistent with the findings reported in this article, leading to the conclusion that the proposed cognitive efficiency model is accurate, relatively universal, and well-adapted. This model could be used to inform the calculation of cognitive efficiency, micro-course design, and evaluation.

关键词:

Cognitive efficiency Cognitive psychology Learning efficiency Micro course Model

作者机构:

  • [ 1 ] [Lv, Ming]Beijing Union Univ, Coll Biochem Engn, 18 Area 3 Fatou West, Beijing 100023, Peoples R China
  • [ 2 ] [Liu, Hao]Beihang Univ, Sch Econ & Management, 37 Xueyuan Rd, Beijing 100191, Peoples R China
  • [ 3 ] [Zhou, Wenwen]Beijing Univ Technol, Sch Econ & Management, 100 Pingpk, Beijing 100124, Peoples R China
  • [ 4 ] [Zheng, Chenyang]China Univ Petr, Sch Econ & Management, 18 Fuxue Rd, Beijing 102249, Peoples R China

通讯作者信息:

  • [Liu, Hao]Beihang Univ, Sch Econ & Management, 37 Xueyuan Rd, Beijing 100191, Peoples R China

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来源 :

COMPUTERS IN HUMAN BEHAVIOR

ISSN: 0747-5632

年份: 2020

卷: 107

ESI学科: PSYCHIATRY/PSYCHOLOGY;

ESI高被引阀值:25

JCR分区:1

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 13

ESI高被引论文在榜: 0 展开所有

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