講座簡介：

In this lecture I will explain how chatbots can be created easily even for teachers and students who don't have background in terms of natural language processing concepts and techniques as well as programming skills. Two visualized environments will be introduced：The first one is a block-based editing environment and  a platform where teachers can create Speaking-based Conversation Quests (SBCQs) for different topics and assign to their students according to learners’English speaking levels. 

講座摘要：

講者想製造出可以通過圖靈測試的聊天機器人，於是打造了一個教育性線上沙盒遊戲-megaworld，在裡面任何行動皆會消耗某種資源並透過某種任務來賺取所需的資源。再更甚者，在megaworld中設計了guraduan這種虛擬npc，每個人都能從所有不同的設計中選擇一種，當收集到足夠數據時便能把guardian以人氣來分類，例如一星到五星這種分級制度。

講者也參與製作了一個可視化的堆疊式聊天機器人製作工具，能夠讓不夠熟練於製作聊天機器人的入門者快速製作出屬於自己的聊天機器人。主講者特別提到沒有人會能夠於1秒內回覆某人的訊息，因此他讓聊天機器人預設會延遲一段時間才給出某個隨機的回覆。最後闡述了為何線上溝通的實現上尚有不足，以GG這詞說明，Good Game在不同人的口中可以有不同的解釋法，因此這也是實現其目的的困難點之一。

講者資訊:

Full Professor, Athabasca University, Canada

Distinguished Researcher Award 2022, Asia-Pacific Society for Computers in Education (APSCE)

Chair, IEEE Technical Community on Learning Technology (https://tc.computer.org/tclt)

Vice President, International Association on Smart Learning Environments (http://iasle.net/)

Editors-in-Chief, ET&S (SSCI, https://www.j-ets.net/)

Editor-in-Chief, IJDET (ESCI, https://igi-global.com/ijdet)

Editor-in-Chief, Bulletin of TCLT (ESCI,  https://tc.computer.org/tclt/bulletin/)