本研究旨在以鷹架理論為出發點，探討藉由整合數位學習與線上測驗系統，並輔以自動註記功能，應用於修習計算機概論課程之學習者，進而幫助其瞭解課程重點之所在，以提升學習上的興趣與效率。
此外建置一整合數位學習與線上測驗之註記學習系統，藉由自然語言等相關技術，將測驗試題與課程內容進行分析，找出測驗試題所匹配之段落，並予以註記提供學習者進行重點之學習。針對此一學習方式，於試題與段落之匹配實驗中，獲得80%以上的匹配成功率。且學習者經由閱讀含註記之課程內容，與無註記之課程內容分析中，測驗成績有顯著之差異，其平均成績優於閱讀無註記內容者。而針對學習者對學習效益之滿意度問卷調查中，有57%的學習者針對此一學習方式表示滿意或很滿意，因此學習者經由本研究所提出之學習方式，於閱讀課程時能更清楚瞭解課程之重點，並對學習上將有一定程度的幫助，期許能以此提供相關後續研究參考之用。
The main objectives of this research were motivated by scaffolding theory to explore by the Integrated of e-learning and online testing system, and supplemented by automatic annotation applied to the learner to learning the Introduction to Computer Science, and then help them understand the curriculum focus lies in order to enhance e-learning interests and efficiency.
Besides this, we build an integrated e-learning and online testing of an annotation learning system by natural language and other related technologies to analyze the questions and course content to identify the paragraph of the questions match, and be the annotation to provide learners focus on learning. For this learning method, match questions with the paragraph of the experiment, the match success rate of more than 80%. The learners through reading, contains annotation the course content, and course no annotation analysis, the average score is better than reading the no annotation content. For learners in the learning effectiveness of the satisfaction survey, 57% of learners were satisfied or very satisfied with this learning method, so the learner through the learning method proposed in this research, in the reading curriculum can be more clearly understand the focus of the course, and learning will be a certain degree of help. Expectations the results can offer reference assistance for future research.
