Artificial intelligence in education...
International Conference on Artificial Intelligence in Education (2023 :)

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  • Artificial intelligence in education = posters and late breaking results, workshops and tutorials, industry and innovation tracks, practitioners, doctoral consortium and blue sky : 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Artificial intelligence in education/ edited by Ning Wang ... [et al.].
    其他題名: posters and late breaking results, workshops and tutorials, industry and innovation tracks, practitioners, doctoral consortium and blue sky : 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023 : proceedings /
    其他題名: AIED 2022
    其他作者: Wang, Ning.
    團體作者: International Conference on Artificial Intelligence in Education
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xxviii, 826 p. :ill., digital ;24 cm.
    內容註: Misrecognition by Teachable Agents on Learning and Rapport -- Nuanced Growth Patterns of Students with Disability -- Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers -- Classification of brain signals collected during a rule learning paradigm -- Q-GENius: A GPT based modified MCQ generator for identifying learner deficiency -- Towards Automatic Tutoring of Custom Student-Stated Math Word Problems -- A Software Platform for Evaluating Student Essays in Interdisciplinary Learning with Topic Classification Techniques -- Automated Scoring of Logical Consistency of Japanese Essays -- Exercise Generation Supporting Adaptivity in Intelligent Tutoring Systems -- Context Matters: A Strategy to Pre-train Language Model for Science Education -- Identifying Usability Challenges in AI-based Essay Grading Tools -- Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis -- Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring -- Automatic Assessment of Comprehension Strategies from Self-Explanations using Transformers and Multi-Task Learning -- Ensuring Fairness of Human- and AI-generated Test Items -- Deidentifying Student Writing with Rules and Transformers -- Comparative Analysis of Learnersourced Human-Graded and AI-Generated Responses for Autograding Online Tutor Lessons -- Using Similarity Learning with SBERT to Optimize Teacher Report Embeddings.
    Contained By: Springer Nature eBook
    標題: Artificial intelligence - Educational applications -
    電子資源: https://doi.org/10.1007/978-3-031-36336-8
    ISBN: 9783031363368
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