Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Computer Assisted Instruction | 5 |
| Punctuation | 5 |
| Second Language Instruction | 5 |
| Second Language Learning | 4 |
| Teaching Methods | 4 |
| Computational Linguistics | 3 |
| English (Second Language) | 3 |
| Foreign Countries | 3 |
| Writing Instruction | 3 |
| Achievement Tests | 2 |
| College Students | 2 |
| More ▼ | |
Source
| CALICO Journal | 1 |
| Computer Assisted Language… | 1 |
| Educational Sciences: Theory… | 1 |
| Online Submission | 1 |
| Teaching English with… | 1 |
Author
| Bonner, Euan | 1 |
| Celik, Serkan | 1 |
| Collett, John | 1 |
| Elkatmis, Metin | 1 |
| Frazier, Erin | 1 |
| Goh, Tiong-Thye | 1 |
| Lege, Ryan | 1 |
| Naeem, Marwa Ahmed Refat | 1 |
| Sun, Hui | 1 |
| Yang, Bing | 1 |
Publication Type
| Journal Articles | 4 |
| Reports - Research | 2 |
| Dissertations/Theses -… | 1 |
| Information Analyses | 1 |
| Reports - Evaluative | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Dale Chall Readability Formula | 1 |
| Flesch Kincaid Grade Level… | 1 |
| Flesch Reading Ease Formula | 1 |
| SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning
Celik, Serkan; Elkatmis, Metin – Educational Sciences: Theory and Practice, 2013
One of the critical contributions of the emerging technologies in computer sciences is the capability of corpus compilation and processing. Corpus resources and approaches are regarded as a potentially valuable areas both in developing instructional methods and designing pedagogical materials. This study aimed to explore the effect of exposing…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Semi Structured Interviews, Foreign Countries
Peer reviewedCollett, John – CALICO Journal, 1986
The need to include an audio component in computer-assisted instruction in French is discussed and an attempted solution is described in terms of a suite of programs designed to facilitate the creation and use of dictation practice materials. (Author/SED)
Descriptors: Audiotape Recordings, Authoring Aids (Programing), Computer Assisted Instruction, Courseware
Naeem, Marwa Ahmed Refat – Online Submission, 2007
The current study aims at investigating the effect of a suggested CALL program on developing EFL learners' mechanics of writing in English. An unbiased simple random sample of eighty fourth-year students (2006/2007) of the English Department at the Faculty of Education in Kafr El-Sheikh has been chosen to carry out the experiment. Forty students…
Descriptors: Experimental Groups, Control Groups, Punctuation, Computer Assisted Instruction

Direct link
