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Okan Yeti?sensoy; Hidir Karaduman – Education and Information Technologies, 2024
The aim of this research is to investigate the educational potential of AI-powered chatbots in Social Studies learning-teaching processes. The study was conducted using embedded design, evaluated within the framework of mixed methods research. The study group consists of 78 6th-grade students studying in three different classes, along with one…
Descriptors: Artificial Intelligence, Grade 6, Social Studies, Middle School Students
Yun Dai; Ziyan Lin; Ang Liu; Wenlan Wang – British Journal of Educational Technology, 2024
While AI has become more prevalent in our society than ever, many young learners are found holding various naive, erroneous conceptions of AI due to the influence of their technology and media environments. To address this issue, this study seeks to propose a novel pedagogical solution to improve upper-elementary school students' scientific…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Education, Elementary School Students
Shi, Guimin; Yang, Sheng; Liu, Changyong; Meng, Shimin; Luo, Zhiming; Li, Shaozi – International Journal of Distance Education Technologies, 2020
In this article, a cognitive framework for observing learning activities based on human-computer coupling is proposed. The observation is based on the vectorization of a learning situation along with human-computer interaction factors. An evolutionary high-dimensional topology of learning cognitive flow is introduced for human-computer…
Descriptors: Learning Processes, Observation, Cognitive Structures, Interaction
Chen, Zhi-Hong; Wang, Sheng-Chun – Educational Technology & Society, 2018
Educational agents (including animal companions) are a kind of interface agent, which is a significant component in educational systems, and has great impacts on student learning. However, with the development of emerging technologies (e.g., tangible technology), few studies have yet investigated how tangible technology can be used to combine with…
Descriptors: Animals, Man Machine Systems, Learning Processes, Attention

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