本研究發展一能夠預測學習者閱讀英語文章時之「個人化閱讀焦慮預測模型」，此預測模型係以資料探勘技術為基礎，透過資料探勘技術於個人閱讀歷程及標註行為中進行閱讀焦慮預測規則的建立，並將預測結果與判定規則回傳給教師，以提供教師掌握造成學習者閱讀焦慮之關鍵因素，並提供適當閱讀輔助策略，藉此減緩學習者閱讀焦慮程度，進而提升其閱讀學習成效。 為了驗證本研究所發展「個人化閱讀焦慮預測模型」的可用性，以及探討本研究所設計不同學習機制對閱讀焦慮減緩策略的有效性，本研究以準實驗法設計三種不同閱讀學習機制並分別實施於控制組、實驗組A與實驗組B，接著以臺北市立萬芳國中一年級學生作為實驗對象，進行本研究實驗資料的收集，以作為驗證「個人化閱讀焦慮預測模型」可用性的資料來源及三種學習機制間降低閱讀焦慮與提昇閱讀學習成效的有效性驗證資料。 研究結果發現，「個人化閱讀焦慮預測模型」能有效預測學習者閱讀焦慮程度，為一個可靠的閱讀焦慮程度判別工具。此外，本研究發現低焦慮學習者在閱讀標註互動上較高焦慮學習者使用頻率高，顯示高低焦慮程度學習者在閱讀標註互動行為上有較明顯的差異，而本研究在實驗組A所實施的合作式閱讀機制能有一定程度能降低中焦慮組學習者閱讀焦慮現象；在實驗組B所提供的線上教師閱讀輔助策略亦能有助於學習者閱讀焦慮減緩。除此之外，本研究所設計三種不同學習機制皆能有效提昇學習者閱讀學習成效，顯示本研究所發展合作式閱讀標註系統有助於提昇學習者閱讀學習成效。   最後，將研究結果進行整理同時輔以文獻驗證，並歸納研究者在研究過程中觀察發現，提出個人化閱讀焦慮預測模型修正、合作式閱讀標註學習社群與電子書閱讀輔助應用等未來研究議題的初步架構，供後續研究者參考以進行更深入的探討。 / To effectively reduce reading anxiety while reading English articles, this study employs C4.5 decision tree, which is a widely used data mining technique, to develop a Personalized Reading Anxiety Level Prediction Model (PRALPM) for learners based on individual learners’ reading annotation behavior on a digital reading annotation system. The proposed PRALPM can explore the key factors that cause reading anxiety based on the fired prediction rules determined by decision tree. Through understanding these key factors that cause reading anxiety, instructor can support appropriate reading strategies to reduce learner’s reading anxiety level and promote their reading performance. To assess whether the proposed PRALPM can effectively assist instructor to reduce reading anxiety, this study adopted the quasi-experimental method to compare the learning performances of three learning groups, which are respectively supported by a digital reading annotation system with different learning mechanisms for reducing reading learning. Among the three learning groups, the control group, experimental group A and experimental group B conducted the same English reading learning activity, but were respectively distributed a digital reading annotation system with individual annotation, cooperative annotation and cooperative annotation with instructor’s support based on the proposed PRALPM for reducing reading anxiety. The experiment were executed on Taipei Municipal Wan-fang High School 7-grade student, and collected experimental data for verified the model availability and the effectiveness of different learning mechanism in lower learner’s reading anxiety level. The results found that PRALPM can predict learner’s reading anxiety level efficacious, and it’s also a reliable tool for identify reading anxiety. In addition, the study found that low level anxiety learners has more reading interactive than high level learners, it also mean different anxiety level learners have Significant differences in reading interaction activities. And the Collaborative reading mechanism can help middle-anxiety-level learner reduce their anxiety efficacious in experimental group A. The online teacher reading assisted strategy can also help learners to slow their read anxiety in experimental group B. Furthermore, three type of learning mechanism all have the positive Effect to enhance learner’s reading performance, it shows that this collaborative reading annotation system can help learner Have better learning outcomes. At last, the study summarized the researchers observed and bring forward some future research issues such as PRALPM modify, cooperative learning community and the application of e-book reader-assisted subject.