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Jiahong Su; Weipeng Yang – Journal of Computer Assisted Learning, 2024
Background: The number of artificial intelligence (AI) literacy studies in K-12 education has recently increased, with most research focusing on primary and secondary education contexts. Little research focuses on AI literacy programs in early childhood education. Objectives: The aim of this mixed-methods study is to examine the feasibility of an…
Descriptors: Foreign Countries, Artificial Intelligence, Kindergarten, Young Children
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Qin, Chao; Liu, Yanjia; Zhang, Hemei – Journal of Computer Assisted Learning, 2023
Background: Being easy to learn and fun, block-based programming tools are widely used to teach students introductory programming. Scratch and LEGO robots are two popular block-based programming tools. However, the objects they manipulate are completely different. Scratch manipulates graphical virtual sprites, whereas LEGO robots manipulate…
Descriptors: Foreign Countries, Undergraduate Students, Learner Engagement, Robotics
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Leeuwestein, Hanneke; Barking, Marie; Sodaci, Hande; Oudgenoeg-Paz, Ora; Verhagen, Josje; Vogt, Paul; Aarts, Rian; Spit, Sybren; de Haas, Mirjam; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
Providing first language (L1) translations in L2 vocabulary interventions may be beneficial for L2 vocabulary learning. However, in linguistically diverse L2 classrooms, teachers cannot provide L1 translations to all children. Social robots do offer such opportunities, as they can be programmed to speak any combination of languages. This study…
Descriptors: Native Language, Translation, Second Language Learning, Vocabulary Development
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Iio, Takamasa; Maeda, Ryota; Ogawa, Kohei; Yoshikawa, Yuichiro; Ishiguro, Hiroshi; Suzuki, Kaori; Aoki, Tomohiro; Maesaki, Miharu; Hama, Mika – Journal of Computer Assisted Learning, 2019
This paper reports how robot-assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To…
Descriptors: English (Second Language), Pretests Posttests, Asians, Accuracy