evaluative feedback 中文意思是什麼
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In recent years, reinforcement learning has become one of the key research areas in artificial intelligence and machine learning and it has attracted many researchers in other fields including operations research, control theory and robotics. reinforcement learning is different from supervised learning in that no teacher signals are needed and a reinforcement learning system learns by interacting with the environment to maximize the evaluative feedback from the environment
增強學習與監督學習的不同之處在於，增強學習不要求給定各種狀態下的期望輸出即教師信號，而強調在與環境交互中的學習，以極大（或極小）化從環境獲得的評價性反饋信號為學習目標。 -
Through analysis of transcript data of a 90 minutes - class from the five excellent teachers, the following features are derived : 1 ) the talking time is not fully dominated by teachers, so students also have their share of talking time ; 2 ) more referential questions occur than display questions ; 3 ) most exchange structures are complex while irf structure still exists ; 4 ) there are more discoursal feedbacks than evaluative feedback
結果表明其特徵如下： 1 ）課堂話語時間並非全由教師支配，同時也有學生參與會話的時間； 2 ）參考性提問普遍多於展示性提問； 3 ）大部分會話結構較為復雜，但是irf結構仍佔一定比例； 4 ）話語性反饋比例略高於評價性反饋。
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