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A study of learning performance
of e-learning materials design
with knowledge maps
出處:Computers & Education, vol. 54, pp. 253-264, 2010.
作者: Shaw, R. S
報告人:邱禹仁
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Online
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簡介
文獻探討
實驗架構
研究方法
分析實驗結果
結論
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簡介
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Previous studies of knowledge maps, however, focus more on the
effects of knowledge maps on traditional learning than on elearning.
Knowledge maps have the advantages of simplifying the relational
complexity of information and of structuralizing the information and
knowledge.
Using knowledge maps could help present e-learning materials in a
more structure manner so that readers can easily digest the
learning materials.
It is important to study if the knowledge map-based materials design
approach can improve a learner’s computer self-efficacy, learning
performance and satisfaction level.
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文獻探討
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The research of O’Donnell et al. (O’Donnell, Dansereau, & Hall,
2002):
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Learners recall more central ideas when they learn from a
knowledge map than when they learn from text.
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Learners with low verbal ability or low prior knowledge often
benefit the most regarding measures of recall from the
presentation of information in a knowledge map.
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Learners who use knowledge maps as supports when
interacting with peers cooperative learning environments learn
more effectively.
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Information presented in well-structured maps that are
designed according to the gestalt principle is recalled better
than when presented in less well-structured maps.
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研究架構
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研究架構
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H1: Knowledge map-based e-learning materials design is more
effective than browse-based one on learning performance.
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H1a: Knowledge map-based e-learning materials design is more
effective than browse-based one on learning score.
H1b: Knowledge map-based e-learning materials design is more
effective than browse-based one on learning satisfaction.
H2: Knowledge map-based e-learning materials design is more
effective than browse-based one on computer self-efficacy.
H3: Computer self-efficacy has a significant positive effect on
learning performance.
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H3a: Computer self-efficacy has a significant positive effect on learning
score.
H3b: Computer self-efficacy has a significant positive effect on learning
satisfaction.
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研究方法
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Chen and Shaw (2006)
indicated that software
tools and application
programming are suitable
for e-learning.
Nickell and Pinto (1986)
suggested that computer
ADO.NET browse-based e-learning materials
self-efficacy is positively
associated with learning
performance of SQL
programming. Our research uses the core technology of SQL
programming, ADO.NET, as the e-learning subject.
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研究方法
ADO.NET knowledge map-based e-learning materials.
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研究方法
知識地圖節點描述之定義
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研究方法
ADO.NET知識地圖式教材之操作設計說明
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研究方法
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175 third year undergraduate students majoring in Management
Information Systems.
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Have backgrounds in programming language.
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After the pre/post-test and learning activities
 76 students in the experimental group (knowledge map-based)
 76 students in the control group (browse-based).
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研究方法
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分析實驗結果
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學習評量鑑別度
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Nunnally(1978)的建議,KR20的信度值要大於0.7,因此將以試題刪除後成績作
為後續學習成績比較之基礎
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分析實驗結果
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Pre-test questionnaire
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No significant difference between the understanding toward ADO.NET for
both group (F1, 150 = 0.003, P = 0.953 > 0.05).
The reliability coefficients of Cronbach’s α in the post-test
questionnaire.
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computer self-efficacy 0.893 & learning satisfaction 0.937
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分析實驗結果
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H1: Knowledge map-based e-learning materials design is more effective than
browse-based one on learning performance(learning score & learning satisfaction).
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分析實驗結果
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H2: Knowledge map-based e-learning materials design is more effective than
browse-based one on computer self-efficacy.
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分析實驗結果
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H3: Computer self-efficacy has a significant positive effect on learning
performance(learning score & learning satisfaction).
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結論
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Individuals can employ knowledge mapping when designing elearning materials to improve the learning performance and
satisfaction.
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if future e-learning materials can be constructed in knowledge
maps, computer self-efficacy of learners can be increased,
computer anxiety can be lowered and the sense of perceived ease
of use can be improved indirectly.
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The improved computer self-efficacy for knowledge map-based
group is even more significantly not only related to learning
performance of ADO.NET programming, but also extent to improve
the learning performance of other software applications
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