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Titlebook: Artificial Intelligence in Education; 21st International C Ig Ibert Bittencourt,Mutlu Cukurova,Eva Millán Conference proceedings 2020 Sprin

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發(fā)表于 2025-3-21 20:04:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence in Education
期刊簡(jiǎn)稱21st International C
影響因子2023Ig Ibert Bittencourt,Mutlu Cukurova,Eva Millán
視頻videohttp://file.papertrans.cn/163/162436/162436.mp4
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Intelligence in Education; 21st International C Ig Ibert Bittencourt,Mutlu Cukurova,Eva Millán Conference proceedings 2020 Sprin
影響因子This two-volume set LNAI 12163 and 12164 constitutes the refereed proceedings of the 21th International Conference on Artificial Intelligence in Education, AIED 2020, held in Ifrane, Morocco, in July 2020.*.The 49 full papers presented together with 66 short, 4 industry & innovation, 4 doctoral consortium, and 4 workshop papers were carefully reviewed and selected from 214 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas...?*The conference was held virtually due to the COVID-19 pandemic..
Pindex Conference proceedings 2020
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Die Familie als Gegenstand der Ethnologieared objective and provide them with a means to communicate, which allows them to share information, ask questions, construct explanations, and work together toward their shared goal. A key challenge in collaborative learning is that students may engage in unproductive discourse, which may affect le
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Zur Geschichte der Familienwissenschaft-based learning by encouraging students to think critically about their knowledge and experiences in order to foster deeper learning processes. Free-response reflection prompts can be embedded in game-based learning environments to encourage students to engage in reflection and externalize their ref
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Familienzentren in Nordrhein-Westfalenteractions among the students and so improve the learning outcomes. Nevertheless, the use of scripts may cause motivational problems over time. To deal with this issue, we propose the gamification of scripted CL sessions through an ontology that encodes knowledge from game design practices and theor
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Kapitel 10: Die deutsche Rechtslageogrammers who find compiler error messages cryptic and unhelpful. Existing works frequently involve black-box application of generative models, e.g. sequence-to-sequence prediction (.) or reinforcement learning (.). Although convenient, this approach is inefficient at targeting specific error types
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