Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 12 |
Descriptor
Source
Author
McNamara, Danielle S. | 4 |
Dascalu, Mihai | 2 |
Nicula, Bogdan | 2 |
Orcutt, Ellen | 2 |
Abhishek, B. P. | 1 |
Allen, Laura K. | 1 |
Counselman, David | 1 |
Crossley, Scott A. | 1 |
Denis Zhidkikh | 1 |
Han, Turgay | 1 |
Harbusch, Karin | 1 |
More ▼ |
Publication Type
Journal Articles | 9 |
Reports - Research | 9 |
Speeches/Meeting Papers | 2 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Elementary Education | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Finland | 1 |
Mississippi | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Toni Taipalus; Hilkka Grahn; Saima Ritonummi; Valtteri Siitonen; Tero Vartiainen; Denis Zhidkikh – ACM Transactions on Computing Education, 2025
SQL compiler error messages are the primary way users receive feedback when they encounter syntax errors or other issues in their SQL queries. Effective error messages can enhance the user experience by providing clear, informative, and actionable feedback. Despite the age of SQL compilers, it still remains largely unclear what contributes to an…
Descriptors: Computer Science Education, Novices, Information Systems, Programming Languages
Jones, Samuel David; Westermann, Gert – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Research in the cognitive and neural sciences has situated predictive processing--the anticipation of upcoming percepts--as a dominant function of the brain. The purpose of this article is to argue that prediction should feature more prominently in explanatory accounts of sentence processing and comprehension deficits in developmental…
Descriptors: Neurosciences, Cognitive Processes, Prediction, Language Processing
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie N.; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…
Descriptors: Computational Linguistics, Feedback (Response), Classification, Learning Processes
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
Sumanth, P.; Ravi, Sunil Kumar; Abhishek, B. P. – Journal of Language and Linguistic Studies, 2022
Language is a major tool for an individual to communicate. The phonological & morpho-syntactic components are involved in functions of language processing & executions. Case marker is one of the morpho-syntatic feature, which describes the abstract meaning of the grammatical components of nouns & verbs and in formation of meaningful…
Descriptors: Dravidian Languages, Phonology, Morphology (Languages), Language Processing
Sari, Elif; Han, Turgay – Reading Matrix: An International Online Journal, 2021
Providing both effective feedback applications and reliable assessment practices are two central issues in ESL/EFL writing instruction contexts. Giving individual feedback is very difficult in crowded classes as it requires a great amount of time and effort for instructors. Moreover, instructors likely employ inconsistent assessment procedures,…
Descriptors: Automation, Writing Evaluation, Artificial Intelligence, Natural Language Processing
Leow, Ronald P.; Thinglum, Anne; Leow, Stephanie A. – Studies in Second Language Learning and Teaching, 2022
Whether type of written corrective feedback (WCF) impacts L2 learning has been investigated for decades. While many product-oriented studies report conflicting findings, the paucity of studies adopting both a process-oriented and curricular approach (e.g., Caras, 2019) underscores the call for further research on: (1) the processing dimension of…
Descriptors: Error Correction, Second Language Learning, Second Language Instruction, Spanish
Allen, Laura K.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2018
The assessment of argumentative writing generally includes analyses of the specific linguistic and rhetorical features contained in the individual essays produced by students. However, researchers have recently proposed that an individual's ability to flexibly adapt the linguistic properties of their writing may more accurately capture their…
Descriptors: Writing (Composition), Persuasive Discourse, Essays, Language Usage
Harbusch, Karin; Hausdörfer, Annette – Research-publishing.net, 2016
COMPASS is an e-learning system that can visualize grammar errors during sentence production in German as a first or second language. Via drag-and-drop dialogues, it allows users to freely select word forms from a lexicon and to combine them into phrases and sentences. The system's core component is a natural-language generator that, for every new…
Descriptors: Feedback (Response), German, Electronic Learning, Grammar
Counselman, David – Hispania, 2015
Motivated by predictions of the theory of Input Processing, this study adds to previous research on second language (L2) Spanish pronunciation learning by investigating the impact of two distinct types of pronunciation assignments on first language (L1) English L2 Spanish students' improvement in pronunciation of the vowels /e, o/. Two sections of…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Feedback (Response)
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)
Nagata, Noriko – CALICO Journal, 2009
This paper presents a new version of Robo-Sensei's NLP (Natural Language Processing) system which updates the version currently available as the software package "ROBO-SENSEI: Personal Japanese Tutor" (Nagata, 2004). Robo-Sensei's NLP system includes a lexicon, a morphological generator, a word segmentor, a morphological parser, a syntactic…
Descriptors: Textbooks, Computer Assisted Instruction, Computer Software, Natural Language Processing