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Automated Scoring of Teachers’ Pedagogical Content Knowledge – A Comparison Between Human and Machine Scoring [PDF]
Frontiers in Education, 2020 To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate approach to reduce the resource-intensity of human scoring and to achieve ...
Andreas Wahlen +5 more
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Combining machine translation and automated scoring in international large-scale assessments
Large-scale Assessments in EducationBackground Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education.
Ji Yoon Jung +2 more
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Sleep scoring moving from visual scoring towards automated scoring
Sleep, 2022 This is an Open Access article distributed under the terms of the Creative Commons AttributionNonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium ...
T. Penzel
openaire +3 more sources
Automated Essay Scoring Using Transformer Models
Psych, 2021 Automated essay scoring (AES) is gaining increasing attention in the education sector as it significantly reduces the burden of manual scoring and allows ad hoc feedback for learners.
Sabrina Ludwig +4 more
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A survey on deep learning-based automated essay scoring and feedback generation
Artificial Intelligence ReviewDeep learning-based automated essay scoring (AES) models exhibit a remarkable ability to identify complex patterns within essays and then generate accurate score predictions in an end-to-end training fashion.
Byung-Won On, Gyu Sang Choi
exaly +2 more sources
Automated Essay Scoring: A Literature Review
Studies in Applied Linguistics & TESOL, 2011 In recent decades, large-scale English language proficiency testing and testing research have seen an increased interest in constructed-response essay-writing items (Aschbacher, 1991; Powers, Burstein, Chodorow, Fowles, & Kukich, 2001; Weigle, 2002). The
Ian Blood
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Automated Scoring for Reading Comprehension via In-context BERT Tuning [PDF]
International Conference on Artificial Intelligence in Education, 2022 Automated scoring of open-ended student responses has the potential to significantly reduce human grader effort. Recent advances in automated scoring often leverage textual representations based on pre-trained language models such as BERT and GPT as ...
Nigel Fernandez +6 more
semanticscholar +1 more source
Frontiers in Public Health, 2022 The dicentric chromosome assay (DCA) is considered the gold standard for radiation biodosimetry, but it is limited by its long dicentric scoring time and need for skilled scorers.
Younghyun Lee +7 more
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Automated Essay Scoring Effect on Test Equating Errors in Mixed-format Test
International Journal of Assessment Tools in Education, 2021 Scoring constructed-response items can be highly difficult, time-consuming, and costly in practice. Improvements in computer technology have enabled automated scoring of constructed-response items. However, the application of automated scoring without an
Nuri Doğan, İbrahim Uysal
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Automated Scoring of Speaking and Writing: Starting to Hit its Stride
Canadian Journal of Learning and Technology, 2023 This article reviews recent literature (2011–present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present ...
Daniel Marc Jones +2 more
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