本研究設計了一套系統，可以利用Sentiment analysis了解

本研究設計了一套系統，可以利用Sentiment analysis了解學生在討論室及議題討論區的發言狀況，探討其內容與課程相關度為何，並且利用Sentiment analysis為討論室的討論內容計算Sentiment 分數，進而探討其Sentiment 正負向與發言和課程相關度高低是否有相關。而經過實驗發現，在此系統分析過後，教學者可以透過系統分析後的數據，快速瀏覽學生的發言狀況及內容，透過分析，教學者不用再一一瀏覽每位學生在討論區的每一句留言﹑可以從系統分析結果較為特殊的週次作個別檢視即可。而根據實驗三的研究結果顯示，討論室的發言內容Sentiment 分數和課程相關度是正向相關的。

結果 (英文) 1:

This study was designed a system that can take advantage of the situation Sentiment analysis to understand the students to speak in the discussion room and forum topics to explore its content and curriculum relevance why, and use Sentiment analysis is calculated as the discussions discussion room Sentiment score, then discusses Sentiment towards its negative correlation with the level of speech and whether there are courses related degrees.

It was found that after a while, after this systematic analysis, teaching can quickly view the status and content of student speech through data analysis system, through analysis, teaching those who do not have to constantly navigate each student per a message in the discussion area ﹑ system analysis results from the more special week for individual views can be.

According to the results of the third experiment showed that the content of speech and discussion rooms of Sentiment score is a positive correlation curriculum related.

結果 (英文) 2:

This study designed a system that allows Students to understand the presentation slot slot in the discussion room and in the discussion area, to explore how relevant their content is to the course, and to calculate scores for the discussion in the discussion room using Sentiment analysis. Then it explores whether its Sentiment positive and negative direction is related to the relevance of speeches and courses.

After experiments, it is found that after this system analysis, the teaching person can quickly browse the student's speech status and content through the system analysis, through the analysis, the teacher does not have to browse each student in the discussion area of each message, can be from the system analysis results of a more special weekly individual review can be.

According to the results of The Study of Experiment III, the comments in the discussion room were positively related to sentiment scores and course relevance.

結果 (英文) 3:

In this study, a set of system is designed, which can use sentient analysis to understand students' speech status in the discussion room and topic discussion area, to explore the relevance between the content and the course, and to calculate the sentient score for the discussion content of the discussion room, and then to explore whether the positive and negative aspects of sentient are related to the speech and the course relevance.
Through the experiment, it is found that after the system analysis, the teacher can quickly browse the students' speech status and content through the data after the system analysis. Through the analysis, the teacher does not need to browse every student's message in the discussion area once again, and can make individual inspection from the week with special system analysis results.
According to the research results of Experiment 3, the sentiment score of the speech content in the discussion room is positively correlated with the curriculum relevance.