نتایج جستجو برای: automated essay scoring

تعداد نتایج: 186447  

2005
Hao-Chuan Wang Tsai-Yen Li Chun-Yen Chang

This research proposes a user modeling framework which aims to assess and model users’ creative problem-solving ability from their self-explained ideas for a specific scenario of problem-solving. The proposed framework, User Problem-Solving Ability Modeler (UPSAM), is mainly designed to accommodate to the needs of studying students’ Creative Problem-Solving (CPS) abilities in the area of scienc...

1997
Jill Burstein Susanne Wolff Chi Lu Randy M. Kaplan

This paper describes a prceXype for automatically scoring College Board Advanced Placement (AP) Biology essays. I. The scoring technique used in this study was based on a previous method used to score sentence-length responses (Burstein, et al, 1996). One hundred training essays were used to build an example-based lexicon and concept granunars. The prototype accesses information from the lexico...

2013
Scott A. Crossley Laura K. Varner Rod D. Roscoe Danielle S. McNamara

We present an evaluation of the Writing Pal (W-Pal) intelligent tutoring system (ITS) and the W-Pal automated writing evaluation (AWE) system through the use of computational indices related to text cohesion. Sixty-four students participated in this study. Each student was assigned to either the WPal ITS condition or the W-Pal AWE condition. The W-Pal ITS includes strategy instruction, game-bas...

2015
William J Howat Fiona M Blows Elena Provenzano Mark N Brook Lorna Morris Patrycja Gazinska Nicola Johnson Leigh‐Anne McDuffus Jodi Miller Elinor J Sawyer Sarah Pinder Carolien H M van Deurzen Louise Jones Reijo Sironen Daniel Visscher Carlos Caldas Frances Daley Penny Coulson Annegien Broeks Joyce Sanders Jelle Wesseling Heli Nevanlinna Rainer Fagerholm Carl Blomqvist Päivi Heikkilä H Raza Ali Sarah‐Jane Dawson Jonine Figueroa Jolanta Lissowska Louise Brinton Arto Mannermaa Vesa Kataja Veli‐Matti Kosma Angela Cox Ian W Brock Simon S Cross Malcolm W Reed Fergus J Couch Janet E Olson Peter Devillee Wilma E Mesker Caroline M Seyaneve Antoinette Hollestelle Javier Benitez Jose Ignacio Arias Perez Primitiva Menéndez Manjeet K Bolla Douglas F Easton Marjanka K Schmidt Paul D Pharoah Mark E Sherman Montserrat García‐Closas

Breast cancer risk factors and clinical outcomes vary by tumour marker expression. However, individual studies often lack the power required to assess these relationships, and large-scale analyses are limited by the need for high throughput, standardized scoring methods. To address these limitations, we assessed whether automated image analysis of immunohistochemically stained tissue microarray...

Journal: :Histopathology 2018
Talha Qaiser Abhik Mukherjee Chaitanya Reddy Pb Sai Dileep Munugoti Vamsi Tallam Tomi Pitkäaho Taina Lehtimäki Thomas Naughton Matt Berseth Aníbal Pedraza Ramakrishnan Mukundan Matthew Smith Abhir Bhalerao Erik Rodner Marcel Simon Joachim Denzler Chao-Hui Huang Gloria Bueno David R. J. Snead Ian Ellis Mohammad Ilyas Nasir M. Rajpoot

AIMS Evaluating expression of the human epidermal growth factor receptor 2 (HER2) by visual examination of immunohistochemistry (IHC) on invasive breast cancer (BCa) is a key part of the diagnostic assessment of BCa due to its recognized importance as a predictive and prognostic marker in clinical practice. However, visual scoring of HER2 is subjective, and consequently prone to interobserver v...

Journal: :Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium 1997
Valerie J. Gooder Brad R. Farr Michael P. Young

We evaluated the reliability and efficiency of an automated system for calculating APACHE II scores. We imported an automated APACHE II scoring system developed at another institution. We scored a convenience sample of 50 consecutive intensive care unit (ICU) admissions using three methods: (1) the automated system (2) an expert scorer using a manual data abstraction method, and (3) the current...

Journal: :Clinical cancer research : an official journal of the American Association for Cancer Research 2015
Frederick Klauschen Stephan Wienert Wolfgang D Schmitt Sibylle Loibl Bernd Gerber Jens-Uwe Blohmer Jens Huober Thomas Rüdiger Erhard Erbstößer Keyur Mehta Bianca Lederer Manfred Dietel Carsten Denkert Gunter von Minckwitz

PURPOSE Scoring proliferation through Ki67 immunohistochemistry is an important component in predicting therapy response to chemotherapy in patients with breast cancer. However, recent studies have cast doubt on the reliability of "visual" Ki67 scoring in the multicenter setting, particularly in the lower, yet clinically important, proliferation range. Therefore, an accurate and standardized Ki...

Journal: :Journal of Computer Assisted Learning 2021

Artificial Intelligence is at the heart of modern society with computers now capable making process decisions in many spheres human activity. In education, there has been intensive growth systems that make formal and informal learning an anytime, anywhere activity for billions people through online open educational resources massive courses. Moreover, new developments Intelligence-related asses...

1997
Khuong Truong Jack Boenders Zofia Maciorowski Philippe Vielh Bernard Dutrillaux Bernard Malfoy Claire A. Bourgeois

The purpose of this study was to improve the detection of FISH signals, in order that spot counting by a fully automated image cytometer be comparable to that obtained visually under the microscope. Two systems of spot scoring, visual and automated counting, were investigated in parallel on stimulated human lymphocytes with FISH using a biotinylated centromeric probe for chromosome 3. Signal ch...

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