||Design and Verification of the Cloud Resource Search System for Meaningful Learning
||Department of Engineering Science
Informational System Success Model
As a result of rapid technological and Internet improvements, searches for cloud resources have gradually changed the modes learners acquire knowledge. Studies have indicated that web portals, such as Google, Yahoo! Kimo, MSN Taiwan, etc., are the search engines most often used by users. However, when users enter keywords to search for information, a large proportion of web page contents shown on the portals are highly repetitive wrong information. Due to lack of effective management and regulations, advertising has gone out of control. The database may appear to be huge and containing all kinds of information, but the information has not been sorted out and arranged systematically. In consequence, the search engines at the web portals are totally inapplicable in searches for educational resources.
To cope with this issue, this study is intended to develop a searching system, the cloud resource search system, based on the information available on Wikipedia. It will be equipped with the functions of automatic language analysis and presentation of structural association graphs for teachers and students to search for information during classroom activities.
The study was performed on second-year students of a junior high school in the Tainan area. They conducted searches according to specified topics. The objectives were to find out whether the learning effectiveness of the students could be significantly improved and also to understand the condition of use of existing systems in searches for Cloud resources, the level of satisfaction with the outcome and whether the system is a success. It was hoped that the students could connect to information sources through searches to acquire knowledge and achieve the purpose of meaningful learning.
The outcome of the experiment shows that use of the cloud resource search system to search for information from Cloud resources could improve the students’ learning effectiveness significantly. The effects of learning resulted from searches involving sing entries also achieved statistical significance. This implies the system can indeed serve as a useful complementary platform to help learning in classroom learning activities. In addition, the results of application of meaning learning and the information system success model for assessment and verification indicate that both teachers and students thought that the system for searches for information from Cloud resources could help teachers find comprehensive teaching material more quickly and improve their teaching. In turn, students’ interest in learning could be promoted and their motivation to learn and learning effectiveness could also improve to achieve the purpose of meaningful learning.
Table of Contents iv
List of Tables vi
List of Figures vii
Chapter 1 Introduction 1
Chapter 2 Relevant Research 4
2.1. Informational System Success Model (ISSM) 4
2.2. Electronic Resource Search Services 7
2.3. Meaningful Learning Characteristics 9
2.4. Application of Structural Association Graphs in Teaching 10
Chapter 3 The Cloud Resource Search System 13
3.1. System Overview 13
3.2. The System Interface and Operating Approaches 16
3.2.1. System Login 17
3.2.2. Description of the System Home Screen 19
3.3. System History 26
Chapter 4 Research Methodology 27
4.1. Research Framework 27
4.2. Participants 30
4.3. Experimental Design 30
4.3.1. Preparation Stage 33
4.3.2. Pre-test Stage 35
4.3.3. Official Experiment Stage 36
4.4. Experimental Tools 39
4.4.1. The Cloud Resource Search System 39
4.4.2. Mission Instructions and Scoring Explanation 40
4.4.3. Information System Success Model Evaluation Questionnaire 43
184.108.40.206. Research Model and Hypotheses 43
220.127.116.11. Development of instruments 47
4.4.4. Meaningful Learning Evaluation Questionnaire 48
Chapter 5 Experiment Analysis and Results 53
5.1. Student Achievement Test Score Differences between Classes and Grouping 54
5.2. Descriptive Statistics on the Valid Samples from the Experiment Subjects 55
5.3. Learning Effectiveness Analysis 56
5.3.1. Learning Effectiveness Difference Analysis 56
5.3.2. Learning Result Differences between Various Missions and Answer Types 57
5.4. Analysis of the Results of the ISSM Evaluation Questionnaire Survey 66
5.4.1. Reliability Analysis 66
5.4.2. Validity Analysis 67
5.4.3. Discriminant Validity Analysis 69
5.4.4. Path Coefficient and R-square Analysis 70
5.5. Analysis of the Results of the Meaningful Learning Evaluation Questionnaire Survey 72
Chapter 6 Discussion and Conclusion 75
6.1. Discussion 75
6.2. Conclusion 81
Appendix A. Informational System Success Model Evaluation Scales 93
Appendix B. Meaningful Learning Evaluation Scales 95
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