On the application of large language models for language teaching and assessment technology
The recent release of very large language models such as PaLM and GPT-4 has made an
unprecedented impact in the popular media and public consciousness, giving rise to a …
unprecedented impact in the popular media and public consciousness, giving rise to a …
[PDF][PDF] Automated distractor and feedback generation for math multiple-choice questions via in-context learning
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they
are easy to administer, grade, and are a reliable form of assessment. An important aspect of …
are easy to administer, grade, and are a reliable form of assessment. An important aspect of …
Automatic distractor generation in multiple-choice questions: a systematic literature review
HW Awalurahman, I Budi - PeerJ Computer Science, 2024 - peerj.com
Background Multiple-choice questions (MCQs) are one of the most used assessment
formats. However, creating MCQs is a challenging task, particularly when formulating the …
formats. However, creating MCQs is a challenging task, particularly when formulating the …
Exploring automated distractor and feedback generation for math multiple-choice questions via in-context learning
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they
are easy to administer, grade, and are a reliable form of assessment. An important aspect of …
are easy to administer, grade, and are a reliable form of assessment. An important aspect of …
Exploring automated distractor generation for math multiple-choice questions via large language models
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they
are easy to administer, grade, and are a reliable format in assessments and practices. One …
are easy to administer, grade, and are a reliable format in assessments and practices. One …
Beyond the obvious multi-choice options: Introducing a toolkit for distractor generation enhanced with nli filtering
The process of generating challenging and appropriate distractors for multiple-choice
questions is a complex and time-consuming task. Existing methods for an automated …
questions is a complex and time-consuming task. Existing methods for an automated …
[PDF][PDF] Automated distractor and feedback generation for math multiple-choice questions via in-context learning
WF Hunter McNichols - 2023 - par.nsf.gov
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they
are easy to administer, grade, and are a reliable form of assessment. An important aspect of …
are easy to administer, grade, and are a reliable form of assessment. An important aspect of …
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions
High-quality distractors are crucial to both the assessment and pedagogical value of multiple-
choice questions (MCQs), where manually crafting ones that anticipate knowledge …
choice questions (MCQs), where manually crafting ones that anticipate knowledge …
ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation
YC Liu, AZ Yen - arXiv preprint arXiv:2501.03462, 2025 - arxiv.org
Vocabulary acquisition is essential to second language learning, as it underpins all core
language skills. Accurate vocabulary assessment is particularly important in standardized …
language skills. Accurate vocabulary assessment is particularly important in standardized …
Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests
The cloze training objective of Masked Language Models makes them a natural choice for
generating plausible distractors for human cloze questions. However, distractors must also …
generating plausible distractors for human cloze questions. However, distractors must also …