Discrimination of Automatically Generated Questions Used as Formative Practice-Reference-Cited by-同舟云学术

Discrimination of Automatically Generated Questions Used as Formative Practice

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Ninth ACM Conference on Learning @ Scale
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Author:

Johnson Benny G.¹,Dittel Jeffrey S.²,Van Campenhout Rachel³,Jerome Bill¹

Affiliation:

1. VitalSource Technologies, Pittsburgh, PA, USA

2. VitalSource Technologies, Milwaukee, WI, USA

3. VitalSource Technologiees, Pittsburgh, PA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491140.3528323

Reference18 articles.

1. Anderson , L. W. (Ed.), Krathwohl , D. R. (Ed.), Airasian, P. W. , Cruikshank, K. A., May er, R. E., Pintrich, P. R., Raths, J., & Wittrock, M.C. ( 2001 ). A taxonomy for learning, teaching, and assessing: A revision of Bloom's Taxonomy of Educational Objectives (Complete edition). New York : Longman . Anderson, L. W. (Ed.), Krathwohl, D. R. (Ed.), Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M.C. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's Taxonomy of Educational Objectives (Complete edition). New York: Longman.

2. Baker , F. B. ( 2001 ). The basics of item response theory ( 2 nd ed.). ERIC Clearinghouse on Assessment and Evaluation. Baker, F. B. (2001). The basics of item response theory (2nd ed.). ERIC Clearinghouse on Assessment and Evaluation.

3. MCMC estimation and some model-fit analysis of multidimensional IRT models

4. Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm

5. Bayesian Item Response Modeling

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