Using Intelligent Tutor Technology to Implement Adaptive Support for Student Collaboration
Educational Psychology Review Volume 22, Number 1, ISSN 1040-726X
Research on computer-supported collaborative learning has shown that students need support to benefit from collaborative activities. While classical collaboration scripts have been effective in providing such support, they have also been criticized for being coercive and not allowing students to self-regulate their learning. Adaptive collaboration support, which would provide students with assistance when and where they need it, is a possible solution. However, due to limitations of natural language processing, the development of adaptive support based on an analysis of "student dialogue" is difficult. To facilitate the implementation of adaptive collaboration support, we propose to leverage existing intelligent tutoring technology to provide support based on "student problem-solving actions." The present paper gives two examples that demonstrate this approach and reports first experiences from the implementation of the systems in real classrooms. We conclude the paper with a discussion of possible future developments in adaptive collaboration support.
Diziol, D., Walker, E., Rummel, N. & Koedinger, K.R. (2010). Using Intelligent Tutor Technology to Implement Adaptive Support for Student Collaboration. Educational Psychology Review, 22(1), 89-102.
Cited ByView References & Citations Map
Ching-Huei Chen, National Changhua University of Education
Australasian Journal of Educational Technology Vol. 30, No. 3 (Aug 05, 2014)
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact email@example.com.