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Wang, Jue; Engelhard, George; Combs, Trenton – Journal of Experimental Education, 2023
Unfolding models are frequently used to develop scales for measuring attitudes. Recently, unfolding models have been applied to examine rater severity and accuracy within the context of rater-mediated assessments. One of the problems in applying unfolding models to rater-mediated assessments is that the substantive interpretations of the latent…
Descriptors: Writing Evaluation, Scoring, Accuracy, Computational Linguistics
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Minkyung Cho; Young-Suk Grace Kim; Jiali Wang – Scientific Studies of Reading, 2023
This study examined the extent of perspective taking and language features represented in secondary students' text-based analytical writing. We investigated: (1) whether perspective taking is related to writing quality, accounting for language features in writing; (2) whether students' English learner status is related to perspectives represented…
Descriptors: Perspective Taking, Secondary School Students, English Language Learners, English
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Tamara P. Tate; Young-Suk Grace Kim; Penelope Collins; Mark Warschauer; Carol Booth Olson – Written Communication, 2024
This article provides three major contributions to the literature: we provide granular information on the development of student argumentative writing across secondary school; we replicate the MacArthur et al. model of Natural Language Processing (NLP) writing features that predict quality with a younger group of students; and we are able to…
Descriptors: Gender Differences, Reading Comprehension, Reading Fluency, Essays
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Gaillat, Thomas; Simpkin, Andrew; Ballier, Nicolas; Stearns, Bernardo; Sousa, Annanda; Bouyé, Manon; Zarrouk, Manel – ReCALL, 2021
This paper focuses on automatically assessing language proficiency levels according to linguistic complexity in learner English. We implement a supervised learning approach as part of an automatic essay scoring system. The objective is to uncover Common European Framework of Reference for Languages (CEFR) criterial features in writings by learners…
Descriptors: Prediction, Rating Scales, English (Second Language), Second Language Learning
Minkyung Cho; Young-Suk Grace Kim; Jiali Wang – Grantee Submission, 2022
This study examined the extent of perspective taking and language features represented in secondary students' text-based analytical writing. We investigated (1) whether perspective taking is related to writing quality, accounting for language features in writing; (2) whether students' English learner status is related to perspectives represented…
Descriptors: Perspective Taking, Secondary School Students, English Language Learners, English
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Vajjala, Sowmya – International Journal of Artificial Intelligence in Education, 2018
Automatic essay scoring (AES) refers to the process of scoring free text responses to given prompts, considering human grader scores as the gold standard. Writing such essays is an essential component of many language and aptitude exams. Hence, AES became an active and established area of research, and there are many proprietary systems used in…
Descriptors: Computer Software, Essays, Writing Evaluation, Scoring
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Huang, Jin-Xia; Lee, Kyung-Soon; Kwon, Oh-Woog; Kim, Young-Kil – Research-publishing.net, 2016
This paper presents an automatic dialogue scoring approach for a Dialogue-Based Computer-Assisted Language Learning (DB-CALL) system, which helps users learn language via interactive conversations. The system produces overall feedback according to dialogue scoring to help the learner know which parts should be more focused on. The scoring measures…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Dialogs (Language)
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Mao, Zhicheng; Jiang, Lin – English Language Teaching, 2017
This paper aims to investigate the effects of the alignment entailed in the continuation task on syntactic complexity in L2 written production. A total number of 48 sophomores majoring in English at a university in China were randomly assigned to two groups, one is the continuation group and the other is the topic writing group. The current study…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Writing Instruction
Guo, Liang; Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2013
This study explores whether linguistic features can predict second language writing proficiency in the Test of English as a Foreign Language (TOEFL iBT) integrated and independent writing tasks and, if so, whether there are differences and similarities in the two sets of predictive linguistic features. Linguistic features related to lexical…
Descriptors: English (Second Language), Linguistics, Second Language Learning, Writing Skills
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Crossley, Scott A.; Varner, Laura K.; McNamara, Danielle S. – Grantee Submission, 2013
Linguistic properties of writing prompts have been shown to influence the writing patterns contained in student essays. The majority of previous research on these prompt-based effects has focused on the lexical and syntactic properties of writing prompts and essays. The current study expands this research by investigating the effects of prompt…
Descriptors: Persuasive Discourse, Prompting, Writing Instruction, Essays
Crossley, Scott A.; Kyle, Kristopher; Allen, Laura K.; Guo, Liang; McNamara, Danielle S. – Grantee Submission, 2014
This study investigates the potential for linguistic microfeatures related to length, complexity, cohesion, relevance, topic, and rhetorical style to predict L2 writing proficiency. Computational indices were calculated by two automated text analysis tools (Coh- Metrix and the Writing Assessment Tool) and used to predict human essay ratings in a…
Descriptors: Computational Linguistics, Essays, Scoring, Writing Evaluation
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Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S. – Journal of Educational Data Mining, 2016
This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…
Descriptors: Essays, Scoring, Writing Evaluation, Natural Language Processing
McNamara, Danielle S.; Crossley, Scott A.; Roscoe, Rod – Grantee Submission, 2013
The Writing Pal is an intelligent tutoring system that provides writing strategy training. A large part of its artificial intelligence resides in the natural language processing algorithms to assess essay quality and guide feedback to students. Because writing is often highly nuanced and subjective, the development of these algorithms must…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Writing Instruction, Feedback (Response)
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Cumming, Alister; Kantor, Robert; Baba, Kyoko; Eouanzoui, Keanre; Erdosy, Usman; James, Mark – ETS Research Report Series, 2006
We assessed whether and how the discourse written for prototype integrated tasks (involving writing in response to print or audio source texts) field tested for the new TOEFL® differs from the discourse written for independent essays (i.e., the TOEFL essay). We selected 216 compositions written for 6 tasks by 36 examinees in a field…
Descriptors: Discourse Analysis, Essays, Scores, Language Proficiency