The Influence of Robot Social Behaviors on Second Language Learning in Preschoolers

心理学 词汇 参照物 社交机器人 机器人 语言习得 社会学习 认知心理学 发展心理学 控制(管理) 社会心理学 人工智能 语言学 移动机器人 计算机科学 数学教育 机器人控制 教育学 哲学
作者
Jun Yin,Wenjiao Guo,Wei Zheng,Mingyu Ren,Simin Wang,Yingdong Jiang
出处
期刊:International Journal of Human-computer Interaction [Informa]
卷期号:40 (7): 1600-1608 被引量:6
标识
DOI:10.1080/10447318.2022.2144828
摘要

The use of social robots has flourished in the educational field. Using them in education appropriately entails considering whether robot social behaviors influence language learning outcomes and have additive influences on the outcomes of language learning. In this study, we used a social robot (i.e., Alpha Mini) to teach Chinese preschool children (N = 83, recruited from a preschool; aged 6–7 years) new English words; it had the pitch of a human boy, and the words' referents were displayed on a tablet. During one learning session, the robot demonstrated one of several types of social behavior: verbal behavior (i.e., asking children to look at this robot), gestural behavior (i.e., pointing to the word's referent), both verbal and gestural behaviors, and control (i.e., purely saying target words to the children). Children were randomly assigned to one of four conditions. Their vocabulary learning outcomes were measured by pre- and posttests of the children's vocabulary of the target words. Our results show that the learning outcome in each type of social behavior was greater than zero, suggesting that any type of robot social behavior benefits word learning. Importantly, when robot social behavior included verbal demonstrations, the preschoolers learned more vocabulary than when the robot displayed other social behaviors (i.e., control and gestural behavior); however, gestural behavior showed no greater learning outcomes than the control condition. Hence, the efficacy of robot tutoring in preschoolers' second language learning depends upon a robot's social behavior, and social verbal behavior is the most effective behavior in increasing learning gains. Therefore, to achieve better learning outcomes, social verbal behavior should be critically considered to enhance robots' tutoring function.
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