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Tahereh Firoozi; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
The proliferation of large language models represents a paradigm shift in the landscape of automated essay scoring (AES) systems, fundamentally elevating their accuracy and efficacy. This study presents an extensive examination of large language models, with a particular emphasis on the transformative influence of transformer-based models, such as…
Descriptors: Turkish, Writing Evaluation, Essays, Accuracy
Allen, Laura K.; Creer, Sarah D.; Poulos, Mary Cati – Grantee Submission, 2021
Research in discourse processing has provided us with a strong foundation for understanding the characteristics of text and discourse, as well as their influence on our processing and representation of texts. However, recent advances in computational techniques have allowed researchers to examine discourse processes in new ways. The purpose of the…
Descriptors: Natural Language Processing, Computation, Discourse Analysis, Computer Science
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Beigman Klebanov, Beata; Burstein, Jill; Harackiewicz, Judith M.; Priniski, Stacy J.; Mulholland, Matthew – International Journal of Artificial Intelligence in Education, 2017
The integration of subject matter learning with reading and writing skills takes place in multiple ways. Students learn to read, interpret, and write texts in the discipline-relevant genres. However, writing can be used not only for the purposes of practice in professional communication, but also as an opportunity to reflect on the learned…
Descriptors: STEM Education, Content Area Writing, Writing Instruction, Intervention
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Park, Kwanghyun – Language Assessment Quarterly, 2014
This article outlines the current state of and recent developments in the use of corpora for language assessment and considers future directions with a special focus on computational methodology. Because corpora began to make inroads into language assessment in the 1990s, test developers have increasingly used them as a reference resource to…
Descriptors: Language Tests, Computational Linguistics, Natural Language Processing, Scoring
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Brown, Kevin – CEA Forum, 2015
In this article, the author describes his project to take every standardized exam English majors students take. During the summer and fall semesters of 2012, the author signed up for and took the GRE General Test, the Praxis Content Area Exam (English Language, Literature, and Composition: Content Knowledge), the Senior Major Field Tests in…
Descriptors: College Faculty, College English, Test Preparation, Standardized Tests
Burstein, Jill C.; Kaplan, Randy M. – 1995
There is a considerable interest at Educational Testing Service (ETS) to include performance-based, natural language constructed-response items on standardized tests. Such items can be developed, but the projected time and costs required to have these items scored by human graders would be prohibitive. In order for ETS to include these types of…
Descriptors: Computer Assisted Testing, Constructed Response, Cost Effectiveness, Hypothesis Testing