Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests
Brian Ondov1, Dina Demner-Fushman1, Kush Attal2
1National Library of Medicine, Bethesda, MD, USA.
Summary
This study introduces a new method for creating cloze test distractors, improving upon masked language models. The developed approach generates more reliable and valid educational assessments for human comprehension.
Area of Science:
- Natural Language Processing
- Educational Technology
- Computational Linguistics
Background:
- Masked Language Models (MLMs) are suitable for generating plausible distractors in cloze tests.
- Existing neural methods do not adequately ensure distractors are distinct and incorrect.
- Automated metrics for evaluating cloze tests lack reliability and validity for human comprehension.
Purpose of the Study:
- To formulate pedagogically motivated objectives (plausibility, incorrectness, distinctiveness) for distractor generation.
- To develop an unsupervised, interpretable method for jointly optimizing distractor sets.
- To evaluate the reliability and validity of generated cloze tests with human participants.
Main Methods:
- Formulated distractor objectives using conditional distributions from language models.
- Developed an unsupervised method for jointly optimizing distractor sets based on formulated objectives.
- Conducted human evaluations to compare cloze test reliability and validity against other methods.
Main Results:
- The proposed method demonstrates stronger correlation with teacher-created comprehension tests than state-of-the-art neural methods.
- The generated cloze tests exhibit greater internal consistency.
- The implementation is freely available for creating multiple-choice cloze tests.
Conclusions:
- The developed method effectively generates plausible, distinct, and incorrect distractors for cloze tests.
- This approach enhances the reliability and validity of automated cloze test creation.
- The tool offers a practical solution for educators seeking to create effective comprehension assessments.
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