Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.

Computer-Aided Personalized Education Workshop

August 27th, 2015 / in CCC, research horizons / by Khari Douglas

The CCC Computer-Aided Personalized Education (CAPE) Workshop will be held in Washington, DC on November 12-13th.


The demand for education in STEM fields is exploding, and universities and colleges are straining to satisfy this demand. In the case of Computer Science, for example, the number of US students enrolled in introductory courses has grown three-fold in the past decade. Recently massive open online courses (MOOCs) have been promoted as a way to ease this strain, but scaling traditional models of teaching to MOOCs poses many of the same challenges observed in the overflowing classrooms, namely, assessment of students’ knowledge and providing meaningful feedback to individual students.

To tackle these problems computing research needs to create a new agenda, one that:

  • formalizes tasks such as assessment and feedback as computational problems
  • develops algorithmic tools to solve resulting problems at scale
  • incorporates these tools effectively in learning environments.

The focus of this workshop will be on college-level courses in computer science, mathematics, and physics with the goals of:

  • creating a long-term research agenda by bringing together researchers from diverse disciplines, such as logical reasoning, machine learning, human-computer interaction, cognitive science, and education and learning,
  • inspiring other researchers to work on these problems
  • and ultimately result in technology for effective and personalized learning.

For more information, please see the Computer-Aided Personalized Education website or contact Ann Drobnis.

Computer-Aided Personalized Education Workshop