Adaptive Non-graded Assessment Based on Knowledge Space Theory

Knowledge Space Theory has been applied in adaptive non-graded assessment. Space-based approaches need a large amount of computer memory. We introduced a procedure dynamically computing the fringes of a knowledge state according to prerequisite relations between knowledge nodes. And we proposed an effective approach of using fringes of a knowledge state to generate the adaptive assessment path.

[1]  Odette Auzende,et al.  Using Competencies to Search for Suitable Exercises , 2009, 2009 Ninth IEEE International Conference on Advanced Learning Technologies.

[2]  Cord Hockemeyer,et al.  Adaptive Assessment and Training Using the Neighbourhood of Knowledge States , 1996, Intelligent Tutoring Systems.

[3]  Dietrich Albert,et al.  The Adaptive Tutoring System RATH a Prototype , 1999 .

[4]  Eric Ras,et al.  Learning Spaces , 2022, The SAGE Encyclopedia of Higher Education.

[5]  Jean-Paul Doignon,et al.  The assessment of knowledge, in theory and in practice , 2003, IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).