Design Factors of Maestro: A Serious Game for Robust AI Education
Design Factors of Maestro: A Serious Game for Robust AI Education
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《Maestro》的设计要素：一款稳健的人工智能教育严肃游戏
DOI：
10.1145/3545947.3576265
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Gago-Masague, Sergio
中科院分区：
文献类型：
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作者：
Geleta, Margarita;Xu, Jiacen;Loya, Manikanta;Wang, Junlin;Singh, Sameer;Li, Zhou;Gago-Masague, Sergio
针对强大AI的培训工具仍处于起步阶段。我们介绍了Maestro，这是一个有效的基于开源游戏的平台，用于高等教育中强大的AI培训，其中包括应对措施和预防AI漏洞。Maestro提供了基于目标的场景（GBS），学生在竞争激烈的编程环境中接受具有挑战性的生活任务。对Maestro的评估表明，其排行榜是一个关键的游戏化元素，对学生的有效学习至关重要。那些认为在健壮的AI中获得了新技能的学生倾向于高度欣赏Maestro，并在健壮的AI中的材料整合，好奇心和maestry方面得分很高。
Training tools targeting robust AI are still in their infancy. We present Maestro, an effective open-source game-based platform for robust AI training in higher education, which includes counter- measures and prevention of AI vulnerabilities. Maestro provides goal-based scenarios (GBSs) where students are exposed to challenging life-inspired assignments in a competitive programming environment. The assessment of Maestro showed that its leader-board, a key gamification element, has been crucial for effective student learning. Students who felt the acquisition of new skills in robust AI tended to appreciate highly Maestro and scored highly on material consolidation, curiosity and maestry in robust AI.
基于目标的场景设计
DOI：
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发表时间：
1994
期刊：
影响因子：
--
作者：
R. Schank;A. Fano;B. Bell;M. Jona
通讯作者：
M. Jona