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研究生: 李宛茜
WAN-CHIEN LI
論文名稱: 融合自律學習循環模式於電腦輔助記憶大量單字
On the Applying of Self-regulated Learning in CALL for Memorizing More Vocabulary
指導教授: 許智誠
Chih-cheng Hsu
口試委員:
學位類別: 碩士
Master
系所名稱: 管理學院 - 資訊管理學系
Department of Information Management
畢業學年度: 98
語文別: 中文
論文頁數: 83
中文關鍵詞: 單字記憶學習策略自律學習循環模式電腦輔助語言學習
外文關鍵詞: self-regulated learning cycle model, computer-assisted language learning, vocabulary memory learning strategies
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  • 單字為語言的基礎與核心。學習者必須要有足夠的單字量,建立基本的語言能力,否則無法閱讀文章字義,無法撰寫訊息,甚至,更嚴重到完全無法透過語言來和對方進行溝通。然而,雖然學習單字很重要,但是學習者卻依然很難記憶單字。
    針對學習者難以記憶單字的問題,本研究基於反覆學習概念,考量學習者於數位學習環境中學習的行為,提出一套融合自律學習循環模式於電腦輔助記憶大量單字的學習系統,此模式分成四個步驟:自我評鑑與監控、目標設定與計劃、策略的實行與監控、策略的結果監控,並且會受到認知策略、後設認知策略與動機策略此三種策略相互影響,進而提出九個單字記憶學習策略:(1)單字卡、(2)閃卡、(3)選擇題、(4)拼字測驗、(5)單字學習循環策略、(6)時間管理策略、(7)系統監控學習策略、(8)自我效能與回饋策略以及(9)同儕激勵策略。希望藉由本研究提出的這一套融合自律學習循環模式於電腦輔助語言學習系統,能有助於培養學習者自律學習單字的習慣,促使學習者持續地累積記憶大量單字,最終成功地提升記憶大量單字的學習成效。
    從本研究實驗結果可知,(1)在數位學習環境中,大多數學習者皆傾向繼續使用自律學習循環模式來輔助自己記憶大量單字,其中學習者認為「策略的結果監控」步驟最能有效地幫助學習者記憶單字,並且認為在九個單字學習記憶策略中,以單字卡以及單字學習循環策略最能有效地幫助記憶單字、(2)與目前採用的記憶單字策略相比,學習者認為本研究提供的記憶單字策略較為幫助、(3)整體而言,在數位學習環境中,運用本研究所建立的一套融合自律學習循環模式的電腦輔助語言學習系統,可以有效地提高學習者記憶單字的學習成效。


    Vocabulary is the foundation and core of language. Learners must have sufficient amount of vocabulary to establish basic language skills; otherwise, learners can’t understand meaning of articles, write any message, and communicate with others. Learning vocabulary is important, but learners are still difficult to remember vocabulary.
    To solve this difficult problem of remembering vocabulary for learners, this research will consider learning behaviors in the learning environment to propose a computer-aided learning system where the self-regulated learning cycle model is applied to assist in memorizing more vocabulary. The learning cycle mode is divided into four steps: self-evaluation and monitoring, goal setting and planning, strategy implementation and monitoring and strategy outcome monitoring. Learning strategies are divided into three: cognitive strategies, metacognitive strategies and motivational strategies. Based on these three categories, the research provides nine vocabulary memory leaning strategies: (1) word cards, (2) flash card, (3) multiple choice, (4) spelling test, (5) vocabulary learning cycle strategy, (6) time management strategies, (7) system monitoring learning strategies , (8) self-efficacy and feedback strategy, and (9) peer incentive strategy.
    The purposes of this research are to help learners develop self-discipline habits, to promote learners continued to accumulate more amounts of vocabulary, and to enhance memorizing vocabulary learning performance. Finally, experimental results demonstrate that the proposed self-regulated learning system can help learners to memory more vocabulary and enhance their learning performance.

    摘要 ................................... I ABSTRACT ............................... II 目錄 ............................,...... III 表目錄 ................................. V 圖目錄 ................................. VI 第一章 緒論 ............................ 1 1-1. 研究背景與動機 .................... 1 1-2. 研究目的 .......................... 3 第二章 文獻探討 ........................ 4 2-1. 自律學習循環模式 .................. 4 2-2. 單字記憶學習策略 .................. 7 2-3. 反覆學習 .......................... 8 第三章 研究方法 ........................ 10 3-1. 單字記憶學習策略 .................. 10 3-2. 自律學習循環模式 .................. 17 3-3. 總結 .............................. 20 3-4. 問卷製作原理 ...................... 24 第四章 實驗與討論 ...................... 27 4-1. 實驗流程 .......................... 27 4-2. 實驗對象 .......................... 28 4-3. 進行七天學習過程 .................. 29 4-4. 實驗分析與結果 .................... 43 第五章 結論與未來發展 .................. 61 5-1. 結論 .............................. 61 5-2. 研究限制 .......................... 61 5-3. 未來發展 .......................... 62 參考文獻 ............................... 63 附錄1 .................................. 65 附錄1-1. 質性訪談-1 號學習者 ........... 65 附錄1-2. 質性訪談-2 號學習者 ........... 67 附錄1-3. 質性訪談-3 號學習者 ........... 68 附錄1-4. 質性訪談-4 號學習者 ........... 70 附錄1-5. 質性訪談-5 號學習者 ........... 71 附錄1-6. 質性訪談-6 號學習者 ........... 72

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