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CHAPTER 7

Conclusions and Future Works

Based on the results, comprehensive discussions, and suggestions of the above

three sub-studies, we now draw conclusions about this study and determine directions of

future research.

7.1 Conclusions

The following research objectives have been met:

1. We combined different interactive learning strategies and designed a series of

online knowledge-sharing discussion activities for teacher and learner

communities in an e-Learning environment.

2. We developed the WIDE-KM knowledge sharing platform, which combines

knowledge-sharing and e-Learning (see Appendix A) and provided empirical

observations.

3. Through three empirical studies and observations from 2004 to 2006, we

observed interactions in teacher and learner communities. We then analyzed the

behavioral patterns and limitations with quantitative and qualitative methods,

and discussed the discovered behavioral patterns, the depth of knowledge

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construction, and the limitations in discussions prior to interventions from

guiders.

4. We made in-depth analysis and compared the results of each sub-study, and

compared and analyzed different strategies and communities.

5. We provided specific suggestions for community discussion guiders and

strategy designers and researchers. The suggestions include when and how

guiders should intervene and how strategy designers could further refine

knowledge sharing strategies.

6. We also provided suggestions for developers of intelligent technology regarding

automatic feedback, automatic data mining, and forming a dynamic

pattern-monitoring knowledge sharing system for e-Learning context.

We wish our study to help combine the theories and practice of

knowledge-sharing, increase the width and depth of studies about e-Learning, adjust

and integrate the theories, develop tools based on behavioral patterns, and provide

specific guidance to community guiders.

7.2 Future Works

Our study has made novel and initial attempts to integrate knowledge-sharing

theories with the domain of “ e-Learning.”Therefore, there are many limitations and

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untapped areas in the study; the following are possible future studies or topics:

1. We discussed the process and patterns in community members’

knowledge-sharing. However, due to the limitations of the samples (students),

we focused more on the actual practice of project-based learning in higher

education (since this kind of course is most likely to use these

knowledge-sharing strategies). However, this limits generalization of our

research findings to other grade years or subjects. In the future, we will conduct

more empirical studies on different academic systems and domains in order to

determine the similarities, differences, and other features of the involved

behavioral patterns.

2. Regarding coding schemes used in the study, since the code-items in the IAM

coding scheme are abstract, coding biases may occur; this was also mentioned in

other studies (Marra, Moore & Klimczak, 2004). In order to reduce coding

biases, we have used qualitative and quantitative methods to conduct

triangulations and used the same raters, provided the same coding training, and

examined the reliability. However, to further increase the accuracy of the

analysis of quantitative content and sequential analysis, IAM or other coding

systems could be further refined or adjusted, and more coding systems could be

used at the same time for cross referencing in order to increase the overall

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validity of the study.

3. In the future, we could also use adjusted strategies as mentioned in our

suggestions (e.g., an interactive strategy that combines problem-solving and peer

assessment, or using a default format for making comments) to make empirical

analyses and further discuss improving knowledge construction and knowledge

internalization/externalization.

4. In order for us to understand guidance strategies for different community

guiders, we can study more cases of guidance being introduced freely by guiders,

and analyze their guidance by observing, analyzing, and compiling empirical

studies. In addition, we can discuss the strategies and tools those best suit

guidance providers’needs.

5. Since many factors affect the behaviors and motivations of knowledge sharing

(e.g., organizational climate, individual capacity, absorption capacity, and sense

of trust between the members) (Bock et al., 2005; Kankanhalli et al., 2005;

Wasko & Faraj, 2005; Hsu, et al., 2007), our future studies could discuss

knowledge sharing differences between different organizations and members so

as to make deeper generalizations and discussions regarding a community’ s

knowledge sharing in the domain of e-Learning.

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