Semi‐automatic coding of open‐ended text responses in large‐scale assessments
Background In the context of large‐scale educational assessments, the effort required to
code open‐ended text responses is considerably more expensive and time‐consuming than …
code open‐ended text responses is considerably more expensive and time‐consuming than …
Reducing workload in short answer grading using machine learning
R Weegar, P Idestam-Almquist - International Journal of Artificial …, 2024 - Springer
Abstract Machine learning methods can be used to reduce the manual workload in exam
grading, making it possible for teachers to spend more time on other tasks. However, when it …
grading, making it possible for teachers to spend more time on other tasks. However, when it …
Fooling automatic short answer grading systems
With the rising success of adversarial attacks on many NLP tasks, systems which actually
operate in an adversarial scenario need to be reevaluated. For this purpose, we pose the …
operate in an adversarial scenario need to be reevaluated. For this purpose, we pose the …
Breakpoints in Iterative Development and Interdisciplinary Collaboration of AI-Driven Automated Assessment
The rise of AI in education has led to significant advancements, promoting automated
grading to reduce educator workload and to enhance pedagogy. However, its integration …
grading to reduce educator workload and to enhance pedagogy. However, its integration …
[PDF][PDF] Work smart-reducing effort in short-answer grading
M Mieskes, U Pado - Proceedings of the 7th workshop on NLP for …, 2018 - aclanthology.org
In language (and content) instruction, free-text questions are important instruments for
gauging student ability. Grading is often done manually, so that frequent testing means high …
gauging student ability. Grading is often done manually, so that frequent testing means high …
A framework for effectively utilising human grading input in automated short answer grading
Short answer questions are effective for recall knowledge assessment. Grading a large
amount of short answers is costly and time consuming. To apply short answer questions on …
amount of short answers is costly and time consuming. To apply short answer questions on …
Scoring with Confidence?–Exploring High-confidence Scoring for Saving Manual Grading Effort
A possible way to save manual grading effort in short answer scoring is to automatically
score answers for which the classifier is highly confident. We explore the feasibility of this …
score answers for which the classifier is highly confident. We explore the feasibility of this …
Finetuning Transformer Models to Build ASAG System
M Thakkar - arxiv preprint arxiv:2109.12300, 2021 - arxiv.org
Research towards creating systems for automatic grading of student answers to quiz and
exam questions in educational settings has been ongoing since 1966. Over the years, the …
exam questions in educational settings has been ongoing since 1966. Over the years, the …
Supervised machine learning for automatic assessment of free-text answers
The learning assessment seeks to collect data that allows for identifying learning gaps for
teacher decision-making. Hence, teachers need to plan and select various assessment …
teacher decision-making. Hence, teachers need to plan and select various assessment …
Smart automated grading system using machine learning algorithm for short answers questions
An automated grading system was developed in this work to help teachers quickly grade
multiple assignments at the same time, with fewer efforts, and especially with the Pandemic …
multiple assignments at the same time, with fewer efforts, and especially with the Pandemic …