Abstract is missing.
- OverviewJean-Claude Falmagne, Christopher Doble. 3-26 [doi]
- Assessing Mathematical Knowledge in a Learning SpaceEric Cosyn, Christopher Doble, Jean-Claude Falmagne, Arnaud Lenoble, Nicolas Thiéry, Hasan Uzun. 27-50 [doi]
- ALEKS-based Placement at the University of IllinoisAlison Ahlgren Reddy, Marc Harper. 51-68 [doi]
- The Impact of a Mathematical Intelligent Tutoring System on Students' Performance on Standardized High-Stake TestsJeremiah Sullins, Rob Meister, Scotty D. Craig, William M. Wilson, Anna E. Bargagliotti, Xiangen Hu. 69-78 [doi]
- A Potential Technological Solution for Reducing the Achievement Gap Between White And Black StudentsXiangen Hu, Yonghong Jade Xu, Charles Hall, Kristin Walker, Theresa Okwumabua. 79-91 [doi]
- A Commercial Implementation of Knowledge Space Theory In College General ChemistryChristopher J. Grayce. 93-113 [doi]
- Using Knowledge Space Theory to Assess Student Understanding of ChemistryMare Taagepera, Ramesh D. Arasasingham. 115-128 [doi]
- Learning Spaces: A Mathematical CompendiumJean-Paul Doignon, Jean-Claude Falmagne, Eric Cosyn. 131-145 [doi]
- Recent Developments in Performance-based Knowledge Space TheoryAli Ünlü, Martin Schrepp, Jürgen Heller, Cord Hockemeyer, Gudrun Wesiak, Dietrich Albert. 147-192 [doi]
- Heuristics for Generating and Validating Surmise Relations across, between and within Sets/TestsDietrich Albert, Gudrun Wesiak, Ali Ünlü. 193-227 [doi]
- Skills, Competencies and Knowledge StructuresJürgen Heller, Ali Ünlü, Dietrich Albert. 229-242 [doi]
- Recent Developments in Competence-based Knowledge Space TheoryJürgen Heller, Thomas Augustin, Cord Hockemeyer, Luca Stefanutti, Dietrich Albert. 243-286 [doi]
- Learning Sequences: An Efficient Data Structure for Learning SpacesDavid Eppstein. 287-304 [doi]
- Projection, Decomposition, and Adaption of Learning SpacesDavid Eppstein. 305-322 [doi]