學習歷程檔案在大學招生專業之分析運用

Analysis and Application of Student Learning Portfolio on College Enrollment Professionalization

本文旨在探討高中職教育階段學習歷程檔案如何運用於大學招生專業工作。學習歷程檔案包括基本資料、修課紀錄、課程學習成果及多元表現，由於修課紀錄較容易轉換為量化的分析變項，故本文採用各科目課程之學業成績作為學習表現的預測變項，以及學習表現是否能保持一致水準，作為學習穩定度的預測變項，再加上大學階段的學習表現作為效標變項。資料分析係運用R軟體的igraph、party與arules等套件進行相關係數網絡、決策樹與關聯分析。研究結果發現，高中職教育階段學習表現與穩定度能預測學生進入大學後的學習表現，而本文所建構的分析模式則可作為大學招生專業化評估學生學習表現的依據。

This article aims to explore the application of senior secondary school student learning portfolio in college enrollment. Student learning portfolio includes basic information, course records, learning results, and multiple performances. The course records can be easily transformed to quantitative analysis variables. Therefore, this article used the academic performance of each course as the prediction variables. Another predictor variable was stability whether the learning performance can be consistent. The academic performance in college was criterion variable. The packages igraph, party and arules of R software were used to conduct correlation coefficient network, decision tree and associative analysis. The results of the study revealed that the academic performance and stability of upper secondary education can predict the academic performance in college. These results suggest that the analysis model can be apply for estimating students’ learning performance in college professional enrollment management.