Evaluating the Construct Validity of an Automated Writing Evaluation System with a Randomization Algorithm

Author:

Myers Matthew C.ORCID,Wilson JoshuaORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Reference51 articles.

1. Bai, L., & Hu, G. (2017). In the face of fallible AWE feedback: How do students respond? Educational Psychology, 37, 67–81. https://doi.org/10.1080/01443410.2016.1223275

2. Bejar, I. (2011). A validity-based approach to quality control and assurance of automated scoring. Assessment in Education: Principles, Policy & Practice, 18(3), 319–341.

3. Bejar, I., Flor, M., Futagi, Y., & Ramineni, C. (2014). On the vulnerability of automated scoring to construct-irrelevant response strategies (CIRS): An illustration. Assessing Writing, 22, 48–59.

4. Carless, D. (2012). Trust and its role in facilitating dialogic feedback. In D. Boud & E. Moloy (Eds.), Feedback in higher and professional education: Understanding it and doing it well (pp. 90–103). Routledge.

5. Chodorow, M., & Burstein, J. (2004). Beyond essay length: Evaluating e-rater® ’s performance on TOEFL® essays. ETS Research Reports., 2004, i–38. https://doi.org/10.1002/j.2333-8504.2004.tb01931.x

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