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

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Grundlagen der Lohnbesteuerung,tuations such as aircraft takeoff, it is important to determine whether the information presented has been correctly processed and understood by the pilot, or whether some has been omitted or misinterpreted. This paper presents a cognitive synthetic pilot based on the ACT-R cognitive architecture an

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,Wie unterscheiden sich M?rkte?,n written summaries using an intelligent tutoring system (ITS). We used the Coh-Metrix-ENA approach, which integrated Coh-Metrix and epistemic network analysis (ENA), to examine the structure of language connections in students’ written summaries. Results revealed both agent language and text struct

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Wie Sie Marketingleiter werden,in programming and data analysis, in the study structured prompts were employed as a key tool to enhance educational engagement and skill acquisition. To study the impact, Engineering students participated in a controlled environment where they utilized these prompts in conjunction with Generative A

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https://doi.org/10.1007/978-3-031-63028-6Intelligent Tutoring Systems; Artificial Intelligence; Generative Intelligence; Learning; Machine Learni

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Combined Maps as?a?Tool of?Concentration and?Visualization of?Knowledge in?the?Logic of?Operation ofa Analysis” course shows the process of visualization of data about the learning situation. The analysis of the experimental results showed an increased effectiveness of ITS decision perception when using the data from the combined map and visualizing its simplified fragment.

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Fast Weakness Identification for Adaptive Feedbackning learner engagement. On the other hand, it is also critical to ensure that the result of the assessment is reliable to provide effective feedback. To balance the accuracy and efficiency of the assessment, we propose three algorithms for fast and adaptive weakness identification based on the good