NotesFAQContact Us
Collection
Advanced
Search Tips
Education Level
Higher Education11
Postsecondary Education11
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 11 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Galit Agmon; Sameer Pradhan; Sharon Ash; Naomi Nevler; Mark Liberman; Murray Grossman; Sunghye Cho – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Multiple methods have been suggested for quantifying syntactic complexity in speech. We compared eight automated syntactic complexity metrics to determine which best captured verified syntactic differences between old and young adults. Method: We used natural speech samples produced in a picture description task by younger (n = 76, ages…
Descriptors: Young Adults, Older Adults, Undergraduate Students, Caregivers
Peer reviewed Peer reviewed
Direct linkDirect link
LiCausi, Taylor J.; McFarland, Daniel A. – Higher Education: The International Journal of Higher Education Research, 2022
The rise of computational methods and rich textual data has spawned a series of studies that map the contours of academic knowledge produced in various fields. However, while many fields span academic cultures, studies have neglected disciplinary dynamics that may be especially useful for understanding knowledge production in fields with subject…
Descriptors: Linguistics, Language Research, Doctoral Dissertations, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Sanchez-Ferreres, Josep; Delicado, Luis; Andaloussi, Amine Abbab; Burattin, Andrea; Calderon-Ruiz, Guillermo; Weber, Barbara; Carmona, Josep; Padro, Lluis – IEEE Transactions on Learning Technologies, 2020
The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…
Descriptors: Models, Automation, Validity, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Soares, Diana; Carvalho, Paula; Dias, Diana – International Journal of Art & Design Education, 2020
New and flexible educational paradigms, based on creative, innovative and open-minded competences, are required in the development of curricula in design, working as an essential skill toolkit for future designers, particularly in higher education. This study aims to explore how learning outcomes, usually expressed by the knowledge, skills,…
Descriptors: Foreign Countries, Outcomes of Education, Design, Curriculum Development
Peer reviewed Peer reviewed
Direct linkDirect link
Restrepo-Ramos, Falcon – Hispania, 2021
This study examines the linguistic complexity of Spanish as a second language (L2) in learners' essays across proficiency levels at two timelines of a composition class during a college semester. Data comes from 22 L2 learners of Spanish enrolled in two sections of a third-year composition class at the college level, who were assigned nine…
Descriptors: Spanish, Writing Instruction, Second Language Learning, Second Language Instruction
MacArthur, Charles A.; Jennings, Amanda; Philippakos, Zoi A. – Grantee Submission, 2018
The study developed a model of linguistic constructs to predict writing quality for college basic writers and analyzed how those constructs changed following instruction. Analysis used a corpus of argumentative essays from a quasi-experimental, instructional study with 252 students (MacArthur, Philippakos, & Ianetta, 2015) that found large…
Descriptors: College Students, Writing Skills, Writing Evaluation, Writing Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yu, Xiaoli – International Journal of Language Testing, 2021
This study examined the development of text complexity for the past 25 years of reading comprehension passages in the National Matriculation English Test (NMET) in China. Text complexity of 206 reading passages at lexical, syntactic, and discourse levels has been measured longitudinally and compared across the years. The natural language…
Descriptors: Reading Comprehension, Reading Tests, Difficulty Level, Natural Language Processing
Velez, Martin – ProQuest LLC, 2019
Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…
Descriptors: Computer Science Education, Programming, Introductory Courses, Computer Software
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Grama, Ileana C.; Kerkhoff, Annemarie; Wijnen, Frank – Journal of Psycholinguistic Research, 2016
The ability to detect non-adjacent dependencies (i.e. between "a" and "b" in "aXb") in spoken input may support the acquisition of morpho-syntactic dependencies (e.g. "The princess 'is' kiss'ing' the frog"). Functional morphemes in morpho-syntactic dependencies are often marked by perceptual cues that render…
Descriptors: Role, Suprasegmentals, Intonation, Cues
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)