
AI Grand Challenges for Education
Author(s) -
Woolf Beverly Park,
Lane H. Chad,
Chaudhri Vinay K.,
Kolodner Janet L.
Publication year - 2013
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v34i4.2490
Subject(s) - lifelong learning , computer science , reuse , reflection (computer programming) , personalized learning , knowledge management , digital learning , open learning , data science , mathematics education , world wide web , cooperative learning , pedagogy , psychology , engineering , teaching method , programming language , waste management
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.