Search Results for author: Nigel Fernandez

Found 8 papers, 8 papers with code

Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks

1 code implementation28 Sep 2024 Zhangqi Duan, Nigel Fernandez, Alexander Hicks, Andrew Lan

In this paper, we introduce Test case-Informed Knowledge Tracing for Open-ended Coding (TIKTOC), a framework to simultaneously analyze and predict both open-ended student code and whether the code passes each test case.

Knowledge Tracing Language Modeling +3

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions

1 code implementation27 Jun 2024 Nigel Fernandez, Alexander Scarlatos, Wanyong Feng, Simon Woodhead, Andrew Lan

High-quality distractors are crucial to both the assessment and pedagogical value of multiple-choice questions (MCQs), where manually crafting ones that anticipate knowledge deficiencies or misconceptions among real students is difficult.

Distractor Generation Math +2

Interpreting Latent Student Knowledge Representations in Programming Assignments

1 code implementation13 May 2024 Nigel Fernandez, Andrew Lan

Recent advances in artificial intelligence for education leverage generative large language models, including using them to predict open-ended student responses rather than their correctness only.

SyllabusQA: A Course Logistics Question Answering Dataset

1 code implementation3 Mar 2024 Nigel Fernandez, Alexander Scarlatos, Andrew Lan

Automated teaching assistants and chatbots have significant potential to reduce the workload of human instructors, especially for logistics-related question answering, which is important to students yet repetitive for instructors.

Language Modeling Language Modelling +3

Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank

1 code implementation15 Jun 2023 Nischal Ashok Kumar, Nigel Fernandez, Zichao Wang, Andrew Lan

Reading comprehension is a crucial skill in many aspects of education, including language learning, cognitive development, and fostering early literacy skills in children.

Data Augmentation Question Generation +2

Automated Scoring for Reading Comprehension via In-context BERT Tuning

1 code implementation19 May 2022 Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard Baraniuk, Andrew Lan

Our approach, in-context BERT fine-tuning, produces a single shared scoring model for all items with a carefully-designed input structure to provide contextual information on each item.

Reading Comprehension

Synthesizing Tasks for Block-based Programming

1 code implementation NeurIPS 2020 Umair Z. Ahmed, Maria Christakis, Aleksandr Efremov, Nigel Fernandez, Ahana Ghosh, Abhik Roychoudhury, Adish Singla

Our task synthesis algorithm operates by first mutating code $\rm C^{in}$ to obtain a set of codes $\{\rm C^{out}\}$.

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