CAJ | 학술논문

以人工智能与模式识别为核心的虚拟助理是当前备受各领域关注的智能化应用技术，在远程教育个性化支持服务领域存在巨大的应用潜力，其技术发展和市场需求集中体现在资源推送、教学互动、情绪调节和生活辅助四个方面。已有研究显示，虚拟助理可以智能化地判断和理解学习者的需求，改善远程学习系统中资源与知识单向传输和缺乏互动的情况，适时引导学习者进行学习并解答疑难问题；还可以监测学习者远程学习过程中的情绪变化，缓解由于时空分离而造成的负面情绪，为远程学习者提供更自然和人性化的交互方式与学习支持，以及更多的生活便利。随着虚拟现实、人工智能、传感器和模式识别技术的发展，人们已经越来越多地看到了它在适应学习者需求和喜好、提供个性化学习支持服务方面的优势，但是其进一步发展还需攻克资源推送算法、人机互动模式、情绪状态识别等技术难点。
이인공지능여모식식별위핵심적허의조리시당전비수각영역관주적지능화응용기술，재원정교육개성화지지복무영역존재거대적응용잠력，기기술발전화시장수구집중체현재자원추송、교학호동、정서조절화생활보조사개방면。이유연구현시，허의조리가이지능화지판단화리해학습자적수구，개선원정학습계통중자원여지식단향전수화결핍호동적정황，괄시인도학습자진행학습병해답의난문제；환가이감측학습자원정학습과정중적정서변화，완해유우시공분리이조성적부면정서，위원정학습자제공경자연화인성화적교호방식여학습지지，이급경다적생활편리。수착허의현실、인공지능、전감기화모식식별기술적발전，인문이경월래월다지간도료타재괄응학습자수구화희호、제공개성화학습지지복무방면적우세，단시기진일보발전환수공극자원추송산법、인궤호동모식、정서상태식별등기술난점。
Virtual assistant with artificial intelligence and pattern recognition as the core techniques is one of the intelligent application technologies that have been drawing public attention in various fields, which has great potential for providing personalized learning supporting services, and its technology development and market demand epitomized by the following four aspects: resource recommendation, pedagogical interaction, emotional adjustment, and daily-life assistance. Some studies have indicated that virtual assistant could judge and understand the demands of learners intelligently, and improve the situation in which the transmission of resources and knowledge is unidirectional and the communication in the distance learning system is lacked. It could also guide the learners to study and solve problems, and monitor the emotional changes which generated in the distance learning process of learners. Moreover, it alleviates the negative emotion resulted from the situation where teachers and students are separated from each other both temporally and spatially. Besides, it can provide the distance learners with the more natural and humanized ways of communication and academic support and, in the meantime, allows a variety of convenience in everyday life. With the development of virtual reality, artificial intelligence, transducer, and the technology of pattern recognition, people have increasingly witnessed virtual assistant's advantages in terms of accommodating the demands and preference of learners, and providing personalized learning supporting services. Nevertheless, what required in its further development are the way to conquer the technical difficulties including resource recommend algorithm, human-computer interaction model, and emotional state recognition etc.