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摘要
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智慧金融教學機器人設計: 我們在這裡規劃了一個
智慧金融的教學機器人。先根據每個人的學習目標
選定學習路徑,在為每個人分析知識斷點後,產生
客製化的教學藍圖。然後利用循環地演示,練習,
小考,評量流程來執行自動教學工作。我們定義了
在JSON下的結構化知識格式及不同的知識陳述型
態。同時並以AI類神經網路進行了要學習多少內容
才有辦法進行推論的實驗。最後並提出如何由結構
化知識庫中不同的陳述型態來做測驗的方法。
This is a design of robo-tutors to do the training
online for the institutes to promote AI financial
technology without hiring new professional tutors.
We've planned a Robo-Tutor for AI Financial
Systems. First we draw study paths based on each
one’s study goals. Then we’ll generate a study
roadmap after we tested the points of disruption of
the study paths. Our robo-tutor does the
presentation, practice, quiz and exam tasks based on
this roadmap. We define the JSON structure
knowledge format and different knowledge
statement types for this robo-tutor. We use an RNN
Bidirectional LSTM model to test how much data
we need before we can infer other contents we’ve
never learned. Finally we present how to do tests
with different statement types. |
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