值得赞赏 发表于 2025-3-23 09:45:51

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杀死 发表于 2025-3-23 13:57:05

Engendering Trust in Automated Feedback: A Two Step Comparison of Feedbacks in Gesture Based Learninmated feedback as it may not be as good as the manual feedback. We use an ASL learning application that provides fine grained explainable feedback and follow a two step process to present a comparison between the automated feedback and the manual feedback provided by experts.

micturition 发表于 2025-3-23 19:02:47

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歌唱队 发表于 2025-3-24 02:01:55

Frank Hannes,Thorsten Kuhn,Miriam Brückmannresponse datasets. We also qualitatively evaluate their ability in identifying common student errors in the form of clusters of incorrect options across different questions that correspond to the same error.

万花筒 发表于 2025-3-24 04:45:37

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Pageant 发表于 2025-3-24 09:12:23

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压碎 发表于 2025-3-24 13:43:37

Evaluating Critical Reinforcement Learning Framework in the Fieldcal-RL framework is empirically evaluated from two perspectives: whether optimal actions . be carried out in critical states (.) and whether only carrying out optimal actions in critical states is as effective as a fully-executed RL policy (.). Our results confirmed both hypotheses.

发表于 2025-3-24 17:58:47

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看法等 发表于 2025-3-24 19:45:19

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强行引入 发表于 2025-3-24 23:10:15

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查看完整版本: Titlebook: Artificial Intelligence in Education; 22nd International C Ido Roll,Danielle McNamara,Vania Dimitrova Conference proceedings 2021 Springer