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Kevin C. Haudek; Xiaoming Zhai – International Journal of Artificial Intelligence in Education, 2024
Argumentation, a key scientific practice presented in the "Framework for K-12 Science Education," requires students to construct and critique arguments, but timely evaluation of arguments in large-scale classrooms is challenging. Recent work has shown the potential of automated scoring systems for open response assessments, leveraging…
Descriptors: Accuracy, Persuasive Discourse, Artificial Intelligence, Learning Management Systems
Ji Yoon Jung; Lillian Tyack; Matthias von Davier – Large-scale Assessments in Education, 2024
Background: Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scoring in international large-scale assessments (ILSAs) remains largely unexplored due to the scoring challenges associated with…
Descriptors: Artificial Intelligence, Automation, Scoring, International Assessment
Yi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Murphy, Robert F. – RAND Corporation, 2019
Recent applications of artificial intelligence (AI) have been successful in performing complex tasks in health care, financial markets, manufacturing, and transportation logistics, but the influence of AI applications in the education sphere has been limited. However, that may be changing. In this paper, the author discusses several ways that AI…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Teaching Methods, Educational Technology
von Davier, Matthias; Tyack, Lillian; Khorramdel, Lale – Educational and Psychological Measurement, 2023
Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…
Descriptors: Scoring, Networks, Artificial Intelligence, Elementary Secondary Education
Evanini, Keelan; Hauck, Maurice Cogan; Hakuta, Kenji – ETS Research Report Series, 2017
This report is the fifth in a series concerning English language proficiency (ELP) assessments for English learners (ELs) in kindergarten through 12th grade in the United States. The series, produced by Educational Testing Service (ETS), is intended to provide theory and evidence-based principles and recommendations for improving next-generation…
Descriptors: Computer Assisted Testing, Language Tests, English Language Learners, Elementary Secondary Education
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing