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Titlebook: Generative Intelligence and Intelligent Tutoring Systems; 20th International C Angelo Sifaleras,Fuhua Lin Conference proceedings 2024 The E

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https://doi.org/10.1007/978-88-470-2291-1 Jill Watson leverages the generative AI capabilities of ChatGPT and the underlying OpenAI’s GPT large language models, along with dense passage retrieval and retrieval-augmented text generation to answer student questions about instructor-approved courseware anytime and anywhere. This courseware ma
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Clinical Aspects of Cranial Bone Defects,on such as in generation of coding problem examples or providing code explanations. A key aspect of programming education is understanding and dealing with error message. However, ‘logical errors’ in which the program operates against the programmer’s intentions do not receive error messages from th
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https://doi.org/10.1007/978-3-662-43359-1hallenge, as it is important not only to emphasize the necessary skills, but also to consider the ongoing personal progress towards achieving a learning outcome. In addition, most educational content is presented in a ‘one-size-fits-all’ way, without taking into account the individual needs of stude
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Marketing- und Verkaufsaktionen,improving the speaking abilities of second language learners. This system mimics a human tutor by engaging in role-play dialogues with the learner, based on predefined scenarios, and offers corrective feedback on the learners’ utterance, while also engaging in chat to encourage student participation
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Marketing- und Verkaufsaktionen,odological contexts and constraints of the research landscape. To do so, we built on existing works and extended them to cover the latest research advancements in the field over the past five years. We aimed at covering all educational levels and retrieving important data regarding the planning and
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https://doi.org/10.34157/978-3-648-16937-7ch as when to offer help. In this paper, we explore wheel spinning in an open-domain inquiry-based modeling platform. We establish why closed-domain conceptions of wheel spinning do not work well in open domains, and we postulate key features of a working characterization of wheel spinning for an op
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