AI Grand Challenges for Education

被引:73
|
作者
Woolf, Beverly Park [1 ]
Lane, H. Chad [2 ]
Chaudhri, Vinay K. [3 ]
Kolodner, Janet L. [4 ]
机构
[1] Univ Massachusetts, Sch Comp Sci, Amherst, MA 01003 USA
[2] Univ So Calif, Inst Creat Technol, Los Angeles, CA 90089 USA
[3] Univ Toronto, Toronto, ON M5S 1A1, Canada
[4] Georgia Inst Technol, Sch Interact Comp, Atlanta, GA 30332 USA
关键词
LESSONS;
D O I
10.1609/aimag.v34i4.2490
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article focuses on contributions that AI can make to address long-term educational goals. Challenges are described that support: (1) mentors for every learner; (2) learning 21st century skills; (3) interaction data for learning; (4) universal access to global classrooms; and (5) lifelong and lifewide learning. A vision and brief research agenda are described for each challenge along with goals that lead to development of global educational resources and the reuse and sharing of digital educational resources. Instructional systems with AI technology are described that currently support richer experiences for learners and supply researchers with. new opportunities to analyze vast data sets of instructional behavior from big databases that record elements of learning, affect, motivation, and social interaction. Personalized learning is described that facilitates student and group experience, reflection, and assessment.
引用
收藏
页码:66 / 84
页数:19
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