未來展望

題目呈現的方式可改善。

本實驗用語意網路來表示測驗題目出現的順序，它會根據使用者上一題的回 答來決定下一題的題目，但若要讓所有測驗題都剛好出現一次，語意網路在使用 上有「時間複雜度」的限制，未來可以考慮嘗試使用其他更適合的知識表示法。

自然語言的判讀可再加入表情符號和語助詞。

現在的學生在使用網路交談時喜歡用一些符號來表示現在的表情或心情，例

如：「是阿@@"」、「這我當然可以囉^^」、「對^_______^」、「應該對ㄅ^0^」、「不 喜歡游泳 跑步= ='」、「不...根本不想問= =+」，另外還有很多學生會用一些語 助詞來加強語氣，例如：「喜歡死嚕」、「恩恩這是一定要的啦」。所以以後可以再 加入對表情符號和語助詞的判讀，這樣評量出來的分數會更準確。

對結構複雜的句子作更進一步的分析。

本實驗只針對使用者的副詞、否定詞、形容詞作分析，除了這三種詞類之外 應該可以再將使用者回答的句子做更進一步的切割與分析，例如：名詞、動詞等。

這樣才能更瞭解學生回答的內容，在評分時較不會出現誤差。

可在網路中介模擬環境中進行創造力的研究。

Gardner(1993) 提出多元智能的創造力，跨越了單一領域的觀點，多元智能 使創造力所需要的觸類旁通容易出現，所以應該以多元智慧為架構來培育創造 力。本研究已證明了網路中介模擬環境可提升學生的多元智能，以後或許能進一

步研究「網路中介模擬環境是否可提升學生的創造力」。

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