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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; Communications in Computer and Information Science ,
1
Learning from Auxiliary Sources in Argumentative Revision C..:
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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; Communications in Computer and Information Science ,
2
Utilizing Natural Language Processing for Automated Assessm..:
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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; Communications in Computer and Information Science ,
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Impact of Experiencing Misrecognition by Teachable Agents o..:
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Lecture Notes in Computer Science; Artificial Intelligence in Education ,
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Improving the Quality of Students' Written Reflections Usin..:
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Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization ,
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How to Ask for Donations? Learning User-Specific Persuasive..:
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Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium; Lecture Notes in Computer Science ,
10
It Takes Two: Examining the Effects of Collaborative Teachi..:
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Lecture Notes in Computer Science; Artificial Intelligence in Education ,
11
An Automated Writing Evaluation System for Supporting Self-..:
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Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems ,
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Effective Interfaces for Student-Driven Revision Sessions f..:
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Lecture Notes in Computer Science; Artificial Intelligence in Education ,
13