AI Grand Challenges for Education

@article{Woolf2013AIGC,
  title={AI Grand Challenges for Education},
  author={Beverly Park Woolf and H. Chad Lane and Vinay K. Chaudhri and Janet L. Kolodner},
  journal={AI Mag.},
  year={2013},
  volume={34},
  pages={9-}
}
This article focuses on contributions that AI can make to address long-term educational goals. It describes five challenges that would support: (1) mentors for every learner; (2) learning twenty-first century skills; (3) interaction data to support learning; (4) universal access to global classrooms; and (5) lifelong and life-wide learning. A vision and brief research agenda are described for each challenge along with goals that lead to access to global educational resources and the reuse and… 
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References

SHOWING 1-10 OF 119 REFERENCES
Building Intelligent Interactive Tutors: Student-centered Strategies for Revolutionizing E-learning
TLDR
Building Intelligent Interactive Tutors discusses educational systems that assess a student's knowledge and are adaptive to a students' learning needs, and taps into 20 years of research on intelligent tutors to bring designers and developers a broad range of issues and methods that produce the best intelligent learning environments possible.
Critical Thinking Environments for Science Education
TLDR
A range of critical thinking environments for science education that span several academic content areas, including human biology, geology and forestry, which allows students to leverage from the accomplishments and intuitions of the others.
Student Modeling: Supporting Personalized Instruction, from Problem Solving to Exploratory Open Ended Activities
TLDR
Research is described on creating student models that support personalization for these novel types of interactions, their unique challenges, and how AI and machine learning can help.
The Effects of a Pedagogical Agent for Informal Science Education on Learner Behaviors and Self-efficacy
TLDR
Coach Mike, an animated pedagogical agent for informal computer science education, is described and findings from two experiments that provide initial evidence for the efficacy of the system are reported.
Metafora: A Web-Based Platform for Learning to Learn Together in Science and Mathematics
TLDR
Metafora is presented, both a platform for integrated tools as well as an emerging pedagogy for supporting Learning to Learn Together in science and mathematics education, and an example use of the system based on results from pilot studies.
Representational guidance for collaborative inquiry.
For a number of years, my colleagues and I (see acknowledgments) have been building, testing, and refining a diagrammatic environment (“Belvedere”) intended to support secondary school children’s
Cognitive Tutors: Lessons Learned
TLDR
The 10-year history of tutor development based on the advanced computer tutoring (ACT) theory is reviewed, finding that a new system for developing and deploying tutors is being built to achieve the National Council of Teachers of Mathematics (NCTM) standards for high-school mathematics in an urban setting.
Inventing to Prepare for Future Learning: The Hidden Efficiency of Encouraging Original Student Production in Statistics Instruction
TLDR
Two studies on teaching descriptive statistics to 9th-grade students examined whether invention activities may prepare students to learn found that invention activities, when coupled with subsequent learning resources like lectures, led to strong gains in procedural skills, insight into formulas, and abilities to evaluate data from an argument.
Digital Technologies and Their Role in Achieving Our Ambitions for Education
Educational policy aims are very ambitious: from pre-school to lifelong learning they demand improvements in both quantity and quality, which are multiplicative in their effects on teaching workload.
Scaling Up Programming by Demonstration for Intelligent Tutoring Systems Development: An Open-Access Web Site for Middle School Mathematics Learning
TLDR
This project investigates whether the process of authoring an ITS can be simplified, while at the same time maintaining the characteristics that make ITS effective, and also maintaining the ability to support large-scale tutor development.
...
...