發展智慧評量機制於大規模開放線上課程提升學生的學習成效之影響：以均一平台為例;Effectiveness of smart evaluation on improving students’ learning performance in MOOCs: 以均一平台為例

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Title:	發展智慧評量機制於大規模開放線上課程提升學生的學習成效之影響：以均一平台為例;Effectiveness of smart evaluation on improving students’ learning performance in MOOCs: 以均一平台為例
Authors:	柳嘉樺;Leou,Chia-hua
Contributors:	資訊工程學系
Keywords:	智慧評量;兩階段式評量;大規模開放式線上課程;Smart evaluation;two-tier test;MOOCs
Date:	2015-07-14
Issue Date:	2015-09-23 14:18:05 (UTC+8)
Publisher:	國立中央大學
Abstract:	大規模開放式線上課程(MOOCs)讓教師、學生及自學者不受時間、地點的限制,透過網路連線即可立即取得學習資源。同時透過線上評量的自動閱卷功能更能讓學生即時取得回饋,達到適性化的評量,而目前台灣使用者人數較多, 發展較完全的 MOOCs 平台為均一教育平台。然而,均一平台缺乏學習能力檢測機制造成三項缺點,1:學生缺乏引導,2:教材推薦不準確,3:答題機制不完善。因此,本研究提出基於兩階段式評量策略之智慧評量機制來解決均一平台所面臨的三項問題。智慧評量機制是由教師先設定教學目標,接著透過診斷性評量的結果確認學生的先備知識程度,再依據形成性評量的結果來調整教學方法,最後透過總結性評量確認學生對於課程內容的熟練程度。而研究結果顯示本研究所提出的智慧評量能讓學生產生正向的學習態度,並提升學生的學習成效和沉浸程度。;MOOCs have become an important trend in recent years. The main advantages of taking an evaluation on MOOCs are the automatic marking, the instant feedback toward students, and the fact that it only requires Internet connection. However, there is lack of a strategy to knowing exactly students’ capability and competence, not to mention delivering pinpoint materials for learning. To deal with this problem, this study presents a smart evaluation system called Destinee that employs a two-tier test aligning with diagnostic, formative, and summative assessments. The experiment results from a math course of fifth graders show that this approach is able to improve students’ learning performance as well as their online course engagement.
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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