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Direct linkZhao, Li; Zheng, Yi; Zhao, Junbang; Li, Guoqiang; Compton, Brian J.; Zhang, Rui; Fang, Fang; Heyman, Gail D.; Lee, Kang – Child Development, 2023
Academic cheating is common, but little is known about its early emergence. It was examined among Chinese second to sixth graders (N = 2094; 53% boys, collected between 2018 and 2019) using a machine learning approach. Overall, 25.74% reported having cheated, which was predicted by the best machine learning algorithm (Random Forest) at a mean…
Descriptors: Cheating, Elementary School Students, Artificial Intelligence, Foreign Countries
Xu, Ying; Aubele, Joseph; Vigil, Valery; Bustamante, Andres S.; Kim, Young-Suk; Warschauer, Mark – Child Development, 2022
Dialogic reading, when children are read a storybook and engaged in relevant conversation, is a powerful strategy for fostering language development. With the development of artificial intelligence, conversational agents can engage children in elements of dialogic reading. This study examined whether a conversational agent can improve children's…
Descriptors: Dialogs (Language), Story Telling, Oral Reading, Artificial Intelligence
Calvert, Sandra L.; Putnam, Marisa M.; Aguiar, Naomi R.; Ryan, Rebecca M.; Wright, Charlotte A.; Liu, Yi Hui Angella; Barba, Evan – Child Development, 2020
Children's math learning (N = 217; M[subscript age] = 4.87 years; 63% European American, 96% college-educated families) from an intelligent character game was examined via social meaningfulness (parasocial relationships [PSRs]) and social contingency (parasocial interactions, e.g., math talk). In three studies (data collected in the DC area:…
Descriptors: Young Children, Mathematics Skills, Computer Games, Play
