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  • 學位論文

利用學習歷程進行多元適性化補救之研究

Applying Learning Portfolios to Multiple Adaptive Remedial Learning

指導教授 : 夏延德 鍾斌賢

摘要


摘要 隨著網際網路的普及,越來越多教師透過遠距教學進行相關之教學活動,然而在遠距教學的研究上,許多相關文獻都談到學生學習歷程之應用,如學生的閱讀時間、登入次數、互動討論等,因此找出影響學生學習成就的關聯性為一重要議題。 本研究提出將學習歷程歸類出兩種屬性,分別以量為基礎之線上行為,透過主成份分析法找出各項線上行為的權重作為線上表現配分依據;和以質的角度觀察學生教材學習軌跡以及線上作業測驗各項成績,分析這些線上行為因子間的相互關聯後,再由本系統給予學生多元適性化的補教學習。 本研究的目的為觀察學生線上行為,針對其不同學習之狀況進行適性化輔導,以提升學習成就;並透過不同時間點的觀察,找出學習行為不佳的學生,觀察影響他們偏差的學習模式,不斷導正學生的學習方向,使之合乎教師的期望。 本系統提供概念學習介面,教師可以依照需求將線上教材進行分類成概念,設定各教材應學習的閥值,系統會偵測學生目前學習概念的狀況,即時掌握學生學習狀況,適時給予補救。最後利用ANOVA檢定驗證學生在多元適性化補救後,線上活動之變化與學習成就間的相互關係,探討學生在透過本研究幫助後,是否有明顯增進其學習成效。 本研究也初步探討教師與助教熱忱度和學生學習積極度是否有關。在驗證良好線上學習環境,除了學生應積極上線學習外,老師與助教適時提供各項教學資源及輔助對學生的影響是否也有明顯的幫助。

並列摘要


As the popularization of the internet, there are many teachers carry on relevant teaching activities through the distance teaching. However, according to many papers of distance teaching, they refer to learning portfolios of the students such as reading time, log in times and conversation with each others. So it is a very important issue to find out the corelation about the influence factors of the students’ learning achievement. In this paper , learning portfolios is classified into two kinds of attributes , the first one is quantity-based, that is, finding out each weight values of on-line behavior via principal component analysis of factor analysis,and using these values to decide the performance score of student. The second one is observing teaching materials of learning portfolio and on-line homework via viewpoint of quality. After analyzing the corelation of these on-line behavior factor, the students will obtain multiple adaptive remedial via proposed system. This study tries to observe on-line behavior of the students,the proposed system applies each student adaptive remedial according to different learning situation in order to rise learning achievement, and finds out the students whose behavior is not good and then observe their learning modes. According to these modes,the system correct the learning direction of the students and make them conform with the teacher's expectation. The proposed system provides a interface of concept learning, the teachers can classify the on-line teaching materials into desire concept according to the demand, and then decide a threshold each materials should have. The proposed system will detects the students’ learning states, grasp students’ states of studying immediately and helps them in good time. Finally, in order to assure if the students can improve learning achievement, we use analysis of variance to verify the corelation between the variation of on-line activities under multiple adaptive remedial and learning achievement. This study also investigate the relation between teachers’ and assistants’ enthusiasm and the students’ learning achievement. Besides actively learning on-line, there is an obviously assistance if teachers and assistants provide teaching resources in right time.

參考文獻


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被引用紀錄


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馬政豪(2010)。線上學習行為分數與學習成就預測模型相關度之探討〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201000321
賴建宏(2010)。應用同儕互評於合作學習之探討〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201000319
鄒達毅(2009)。利用文章內容分析輔助學習歷程探勘〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200901236
施宣宇(2009)。影響學習成就各項因素之研究〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200901206

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