Results 21 to 30 of about 1,514 (254)
Explainable Automated Essay Scoring: Deep Learning Really Has Pedagogical Value
Frontiers in Education, 2020 Automated essay scoring (AES) is a compelling topic in Learning Analytics for the primary reason that recent advances in AI find it as a good testbed to explore artificial supplementation of human creativity. However, a vast swath of research tackles AES
Vivekanandan Kumar, David Boulanger
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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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Chinese Argumentative Writing Quality Evaluation Based on Multi-perspective Modeling [PDF]
Jisuanji kexue, 2023 Automated essay scoring is a task that replaces manual grading for students’ essays,where rich semantics,rigorous organization,and reasonable logic are important considering factors.Most previous studies only consider the semantics or organization of the
HE Yaqiong, JIANG Feng, CHU Xiaomin, LI Peifeng
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What automated analyses of corpora can tell us about students’ writing skills [PDF]
Journal of Writing Research, 2010 A particular application of corpus analysis, automated essay scoring (AES) can reveal much about students’ writing skills. In this article we present research undertaken at Educational Testing Service (ETS) as part of its ongoing commitment to developing
Paul Deane, Thomas Quinlan
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
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Name Entity Recognition Tasks: Technologies and Tools
Моделирование и анализ информационных систем, 2023 The task of named entity recognition (NER) is to identify and classify words and phrases denoting named entities, such as people, organizations, geographical names, dates, events, terms from subject areas.
Nadezhda Stanislavona Lagutina +2 more
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Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
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Automatic Essay Scoring Method Based on Multi-Scale Features
Applied Sciences, 2023 Essays are a pivotal component of conventional exams; accurately, efficiently, and effectively grading them is a significant challenge for educators. Automated essay scoring (AES) is a complex task that utilizes computer technology to assist teachers in ...
Feng Li +4 more
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Molecular Oncology, EarlyView.In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern +7 more
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ChatGPT as a Stable and Fair Tool for Automated Essay Scoring
Education SciencesThe evaluation of open-ended questions is typically performed by human instructors using predefined criteria to uphold academic standards. However, manual grading presents challenges, including high costs, rater fatigue, and potential bias, prompting ...
Francisco García-Varela +4 more
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