視覺化分析運用於網路同儕互評資料之研究

A Study on Visual Analysis of Online Peer Assessment Data

學習評量是教學實踐重要的一環，數據資料產出的分析和呈現尤其重要。本研究旨在透過視覺化分析探討學生的網路同儕互評資料及其相關的學習評量變化情形，研究對象為修習「全球化與當代社會」課程且完課之40名通識修課學生，利用創課平台（Tranclass）及Google表單收集資料，讓學生透過評分規準對期中評量和期末評量分組報告進行網路同儕互評，每生都須對各組填寫評量，然後取其數據資料進行均值運算。本研究使用商業智慧分析軟體Tableau分析評量的數據資料的互動情形，從各項資料分析的視圖結果，可見視覺化分析學生的網路同儕互評資料，可以快速且清楚的得到分析結果，以及這些資料的分布狀態與前後資料的比較，例如：期中評量得分和期末評量得分的情形、不同性別學生對於評量的給分情形等。本研究有助於跨院系學生選修的通識課程，及大量學習歷程的資料分析。最後建議於期初建立共約、形塑共識，學生清楚同儕互評準則而據以實施，為視覺化分析應用與網路同儕互評實施之核心關鍵成功因素。

Learning assessment is an important part of teaching practice, and the analysis and presentation of data are particularly important. This study aims to explore the data of student peer assessment and related learning assessments through visual analysis. The research objects were 40 general education students who completed the ''Globalization and Contemporary Society'' course. Data was collected through a course platform (Tranclass) and Google Forms, allowing students to conduct online peer assessments of group reports for mid-term and final assessments based on grading criteria. Each student had to evaluate each group and then the data was averaged. This study used the business intelligence analysis software Tableau to analyze the interactive situation of the assessment data. From the view results of various data analysis, it is clear that visual analysis of student peer assessment data can quickly and clearly obtain analysis results and the distribution status of the data, as well as compare the data before and after, such as the scores for mid-term and final assessments, and the scoring situation of students of different genders. This research is helpful for the analysis of large amounts of learning process data for cross-departmental students who take general education courses. Finally, it is recommended to establish a common agreement and consensus at the beginning of the term, so that students are clear about the peer assessment criteria and can implement them, which is the core key success factor for the application of visual analysis and the implementation of online peer assessments.