Blending Assessment and Instructional Assisting

  • Authors:
  • Leena Razzaq;Mingyu Feng;Goss Nuzzo-Jones;Neil T. Heffernan;Kenneth Koedinger;Brian Junker;Steven Ritter;Andrea Knight;Edwin Mercado;Terrence E. Turner;Ruta Upalekar;Jason A. Walonoski;Michael A. Macasek;Christopher Aniszczyk;Sanket Choksey;Tom Livak;Kai Rasmussen

  • Affiliations:
  • Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA;Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Learning, Inc.;Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu;Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, USA, assistments@wpi.edu

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
  • Year:
  • 2005

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Abstract

Middle school mathematics teachers are often forced to choose between assisting students' development and assessing students' abilities because of limited classroom time available. To help teachers make better use of their time, we are integrating assistance and assessment by utilizing a web-based system (“Assistment”) that will offer instruction to students while providing a more detailed evaluation of their abilities to the teacher than is possible under current approaches. An initial version of the Assistment system was created and used last May with about 200 students and 800 students are using it this year once every two weeks. The hypothesis is that Assistments both assist students while also assessing them. This paper describes the Assistment system and some preliminary results.