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COMPUTER ASSISTED INSTRUCTION AND ITS APPLICATION IN ENGLISH LEARNING 被引量:2
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作者 Liu Mingdong Hengyang Medical College 《Chinese Journal of Applied Linguistics》 1998年第1期131-134,共4页
This paper briefly describes the development of computer assisted instruction(CAI) abroad and in China, lists the advantages of CAI and deals with its application in English learning. Some suggestions about how to mak... This paper briefly describes the development of computer assisted instruction(CAI) abroad and in China, lists the advantages of CAI and deals with its application in English learning. Some suggestions about how to make better use of CAI in ELT are also given. 展开更多
关键词 computer assisted INSTRUCTION AND ITS APPLICATION IN ENGLISH learning CAI ITS
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Teaching Chinese sign language with a smartphone
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作者 Yanxiao ZHANG Yuecong MIN Xilin CHEN 《Virtual Reality & Intelligent Hardware》 2021年第3期248-260,共13页
Background There is a large group of deaf-mutes worldwide, and sign language is a major communication tool in this community. It is necessary for deaf-mutes to be able to communicate with others who are capable of hea... Background There is a large group of deaf-mutes worldwide, and sign language is a major communication tool in this community. It is necessary for deaf-mutes to be able to communicate with others who are capable of hearing, and hearing people also need to understand sign language, which produces a great demand for sign language tuition. Even though there have already been a large number of books written about sign language, it is inefficient to learn sign language through reading alone, and the same can be said on watching videos. To solve this problem, we developed a smartphone-based interactive Chinese sign language teaching system that facilitates sign language learning. Methods The system provides a learner with some learning modes and captures the learner's actions using the front camera of the smartphone. At present, the system provides a vocabulary set with 1000 frequently used words, and the learner can evaluate his/her sign action by subjective or objective comparison. In the mode of word recognition, the users can play any word within the vocabulary, and the system will return the top three retrieved candidates;thus, it can remind the learners what the sign is. Results This system provides interactive learning to enable a user to efficiently learn sign language. The system adopts an algorithm based on point cloud recognition to evaluate a user's sign and costs about 700ms of inference time for each sample, which meets the real-time requirements. Conclusion This interactive learning system decreases the communication barriers between deaf-mutes and hearing people. 展开更多
关键词 computer assisted learning Sign language evaluation Smartphone platform
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