Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 4 |
Descriptor
Source
Computer Assisted Language… | 4 |
Author
Ali, Ubey | 1 |
Bektas, Fatih | 1 |
Beuls, Katrien | 1 |
Crosthwaite, Peter | 1 |
Dereli, Bihter | 1 |
Eryigit, Gülsen | 1 |
Katushemererwe, Fridah | 1 |
Nerbonne, John | 1 |
Publication Type
Journal Articles | 4 |
Reports - Research | 4 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 1 |
Audience
Location
China | 1 |
Hong Kong | 1 |
Uganda | 1 |
United Kingdom | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Eryigit, Gülsen; Bektas, Fatih; Ali, Ubey; Dereli, Bihter – Computer Assisted Language Learning, 2023
Grammatical information, embedded at the word level, makes the acquisition of morphologically rich languages quite complex as well as the language exercise generation process for teachers. This study introduces a new gamification approach for complex morphology learning and aims to analyze the students' perceptions towards it. In this approach,…
Descriptors: Grammar, Morphology (Languages), Gamification, Student Attitudes
Crosthwaite, Peter – Computer Assisted Language Learning, 2017
An increasing number of studies have looked at the value of corpus-based data-driven learning (DDL) for second language (L2) written error correction, with generally positive results. However, a potential conundrum for language teachers involved in the process is how to provide feedback on students' written production for DDL. The study looks at…
Descriptors: Feedback (Response), Error Correction, Morphology (Languages), Syntax
Katushemererwe, Fridah; Nerbonne, John – Computer Assisted Language Learning, 2015
This study presents the results from a computer-assisted language learning (CALL) system of Runyakitara (RU_CALL). The major objective was to provide an electronic language learning environment that can enable learners with mother tongue deficiencies to enhance their knowledge of grammar and acquire writing skills in Runyakitara. The system…
Descriptors: Computer Assisted Instruction, Native Language Instruction, Grammar, Language Maintenance
Beuls, Katrien – Computer Assisted Language Learning, 2014
Construction grammar (CG) has been proposed as an adequate grammatical formalism for building intelligent language tutoring systems because it is highly compatible with the learning strategies observed in second language learning. Unfortunately, the lack of computational CG implementations has made it impossible in the past to corroborate these…
Descriptors: Error Analysis (Language), Grammar, Second Language Learning, Spanish