Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Computational Linguistics | 3 |
Difficulty Level | 3 |
Natural Language Processing | 3 |
Foreign Countries | 2 |
Reading Comprehension | 2 |
Second Language Learning | 2 |
Academic Support Services | 1 |
Automation | 1 |
College Entrance Examinations | 1 |
Comparative Analysis | 1 |
Connected Discourse | 1 |
More ▼ |
Author
Botarleanu, Robert-Mihai | 1 |
Cronin, Anthony | 1 |
Crossley, Scott Andrew | 1 |
Dascalu, Mihai | 1 |
Intepe, Gizem | 1 |
McNamara, Danielle S. | 1 |
Shearman, Donald | 1 |
Sneyd, Alison | 1 |
Yu, Xiaoli | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Botarleanu, Robert-Mihai; Dascalu, Mihai; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2020
A key writing skill is the capability to clearly convey desired meaning using available linguistic knowledge. Consequently, writers must select from a large array of idioms, vocabulary terms that are semantically equivalent, and discourse features that simultaneously reflect content and allow readers to grasp meaning. In many cases, a simplified…
Descriptors: Natural Language Processing, Writing Skills, Difficulty Level, Reading Comprehension
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
Cronin, Anthony; Intepe, Gizem; Shearman, Donald; Sneyd, Alison – International Journal of Mathematical Education in Science and Technology, 2019
This paper explores analysis of feedback data collected from student consultations at two mathematics support centres at universities in Australia and Ireland. Unstructured text data was collected over six years and includes qualitative data on student queries collected during the consultations from mathematics and statistics related subjects.…
Descriptors: Natural Language Processing, Feedback (Response), Mathematics Instruction, Academic Support Services