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Andrea Zanellati; Daniele Di Mitri; Maurizio Gabbrielli; Olivia Levrini – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…
Descriptors: Artificial Intelligence, Prior Learning, Knowledge Management, Models
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Thi Thuy An Ngo; Thanh Tu Tran; Gia Khuong An; Phuong Thy Nguyen – IEEE Transactions on Learning Technologies, 2024
The growing prevalence of advanced generative artificial intelligence chatbots, such as ChatGPT, in the educational sector has raised considerable interest in understanding their impact on student knowledge and exploring effective and sustainable implementation strategies. This research investigates the influence of knowledge management factors on…
Descriptors: Artificial Intelligence, Educational Environment, Knowledge Management, Student Satisfaction
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Thalmann, Stefan; Maier, Ronald – IEEE Transactions on Learning Technologies, 2017
Knowledge transfer between employees is a primary concern in organizations. Employees create or acquire content that partially represents knowledge. These knowledge elements are specific to the context in and for which they are created and rarely address the learning needs of other employees in other work situations. Organizations therefore need…
Descriptors: Workplace Learning, Models, Technology Transfer, Knowledge Management