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

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发表于 2025-3-21 16:29:42 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence in Education
期刊简称22nd International C
影响因子2023Ido Roll,Danielle McNamara,Vania Dimitrova
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence in Education; 22nd International C Ido Roll,Danielle McNamara,Vania Dimitrova Conference proceedings 2021 Springer
影响因子This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.*.The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop papers were carefully reviewed and selected from 209 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 2021
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发表于 2025-3-21 20:37:57 | 显示全部楼层
The Mafia Family: Organised Crime Families,s. Our results, conducted over 35 067 students and evaluated over 32,538 students, show that existing prediction models do indeed seem to favour the majority group. As opposed to hypothesise, creating individual models does not help improving accuracy or fairness.
发表于 2025-3-22 04:20:29 | 显示全部楼层
Learning Analytics and Fairness: Do Existing Algorithms Serve Everyone Equally?s. Our results, conducted over 35 067 students and evaluated over 32,538 students, show that existing prediction models do indeed seem to favour the majority group. As opposed to hypothesise, creating individual models does not help improving accuracy or fairness.
发表于 2025-3-22 08:13:16 | 显示全部楼层
Open Learner Models for Multi-activity Educational Systemsge state based on their engagement with multiple types of learning activities. We apply MA-Elo to three data sets obtained from an educational system supporting multiple student activities. Results indicate that the proposed approach can provide a higher predictive performance compared with baseline and some state-of-the-art learner models.
发表于 2025-3-22 12:25:50 | 显示全部楼层
发表于 2025-3-22 15:51:00 | 显示全部楼层
Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren’s Behaviour Ver parameters of peers and teacher’s characteristics, which we believe renders a more realistic setting. Specifically, we explore the effect of . and .. The dataset used for the design of our model consists of 65,385 records, which represent 3,315 classes in 2007, from 2,040 schools in the UK.
发表于 2025-3-22 20:38:09 | 显示全部楼层
发表于 2025-3-23 00:53:43 | 显示全部楼层
National Symposium on Family Issuesge state based on their engagement with multiple types of learning activities. We apply MA-Elo to three data sets obtained from an educational system supporting multiple student activities. Results indicate that the proposed approach can provide a higher predictive performance compared with baseline and some state-of-the-art learner models.
发表于 2025-3-23 04:57:25 | 显示全部楼层
https://doi.org/10.1057/978-1-137-59028-2tify motivational factors related to students’ collaborative behaviors; and develop a set of representative personas. These personas could be embedded in an interface and be used as an alternative method to assess motivation within ITS.
发表于 2025-3-23 09:37:52 | 显示全部楼层
Matteo Moscatelli,Donatella Bramantir parameters of peers and teacher’s characteristics, which we believe renders a more realistic setting. Specifically, we explore the effect of . and .. The dataset used for the design of our model consists of 65,385 records, which represent 3,315 classes in 2007, from 2,040 schools in the UK.
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