Using AI to Teach AI; Lessons from an Online AI Class

被引:36
作者
Goel, Ashok K. [1 ,2 ]
Joyner, David A. [3 ,4 ,5 ]
机构
[1] Georgia Inst Technol, Sch Interact Comp, Comp Sci, Atlanta, GA 30332 USA
[2] Georgia Techs Design & Intelligence Lab, Atlanta, GA 30308 USA
[3] Udacity, Georgia Tech Online Master Sci Comp Sci OMSCS, Mountain View, CA USA
[4] Georgia Tech Coll Comp, Atlanta, GA USA
[5] LucyLabs, Valbonne, France
关键词
PROGRESSIVE MATRICES;
D O I
10.1609/aimag.v38i2.2732
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In fall 2014, we launched a foundational course in artificial intelligence (CS7637: Knowledge-Based AI) as part of Georgia Institute of Technology's Online Master of Science in Computer Science program. We incorporated principles and practices from the cognitive and learning sciences into the development of the online AI-course. We also integrated AI techniques into the instruction of the course, including embedding 100 highly focused intelligent tutoring agents in the video lessons. By now, more than 2000 students have taken the course. Evaluations have indicated that OMSCS students enjoy the course compared to traditional courses, and more importantly, that online students have matched residential students' performance on the same assessments. In this article, we present the design, delivery, and evaluation of the course, focusing on the use of AI for teaching AI. We also discuss lessons we learned for scaling the teaching and learning of AI.
引用
收藏
页码:48 / 58
页数:11
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