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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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樓主: 恐怖
21#
發(fā)表于 2025-3-25 06:52:54 | 只看該作者
Combined Maps as?a?Tool of?Concentration and?Visualization of?Knowledge in?the?Logic of?Operation ofs important for making reasoned decisions that are considered credible by a human learner. Various approaches to data concentration and visualization are considered, among which mapping has a special place. Using the example of the Cognitive Maps of Knowledge Diagnosis (CMKD) method, it is shown how
22#
發(fā)表于 2025-3-25 07:42:49 | 只看該作者
23#
發(fā)表于 2025-3-25 14:42:36 | 只看該作者
QuizMaster: An Adaptive Formative Assessment Systeme during students’ course study. QuizMaster reduces learner time spent on assessment and accelerates formative feedback delivery. Leveraging a Multi-Armed Bandit algorithm for question sequencing and feedback, it ensures intelligent assessment processes. Additionally, we employ Large Language Models
24#
發(fā)表于 2025-3-25 18:37:57 | 只看該作者
Preliminary Systematic Review of Open-Source Large Language Models in Education preliminarily review how LLMs can be integrated into educational contexts with their technical features, open-source nature, and applicability. Through a systematic search, we have identified a selection of open-source LLMs that have been released or significantly updated post-2021. This initial se
25#
發(fā)表于 2025-3-25 23:08:29 | 只看該作者
26#
發(fā)表于 2025-3-26 01:23:49 | 只看該作者
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Promptson 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
27#
發(fā)表于 2025-3-26 07:22:45 | 只看該作者
Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Datan an online environment without a well-designed learning path to guide students. Learning paths allow students to backtrack the prerequisite content from a specific lesson in which they are weak or skip to related content in which they have a strong understanding, resulting in efficient learning. Kn
28#
發(fā)表于 2025-3-26 11:08:08 | 只看該作者
29#
發(fā)表于 2025-3-26 13:41:48 | 只看該作者
Developing Conversational Intelligent Tutoring for Speaking Skills in Second Language Learningimproving 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
30#
發(fā)表于 2025-3-26 19:20:58 | 只看該作者
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