Automated Test Assembly for Handling Learner Cold-Start in Large-Scale Assessments
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Education
Link
http://link.springer.com/article/10.1007/s40593-017-0163-y/fulltext.html
Reference32 articles.
1. Anava, O., Golan, S., Golbandi, N., Karnin, Z., Lempel, R., Rokhlenko, O., & Somekh, O. (2015). Budget-constrained item cold-start handling in collaborative filtering recommenders via optimal design. In Proceedings of the 24th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee. cit. on p. 4 (pp. 45–54).
2. Cai, L. (2010a). High-dimensional exploratory item factor analysis by Metropolis-Hastings Robbins–Monro algorithm. In Psychometrika 75.1. cit. on pp. 3,10 (pp. 33–57).
3. Cai, L. (2010b). Metropolis-Hastings Robbins-Monro algorithm for confirmatory item factor analysis. In Journal of Educational and Behavioral Statistics 35.3. cit. on p. 10 (pp. 307–335).
4. Chalmers, R.P. (2012). mirt: A multidimensional item response theory package for the R environment. In Journal of Statistical Software 48.6. cit. on pp. 5, 10, 11 (pp. 1–29).
5. Chalmers, R.P. (2016). Generating Adaptive and Non-Adaptive Test Interfaces for Multidimensional Item Response Theory Applications. In Journal of Statistical Software 71.1. cit. on pp. 3, 5, 12 (pp. 1–38).
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