Gamification of complex morphology learning: the case of Turkish
dc.authorid | ERYİĞİT, GÜLŞEN/0000-0003-4607-7305|Bektaş, Fatih/0000-0002-2889-3782 | |
dc.authorwosid | ERYİĞİT, GÜLŞEN/O-4106-2016 | |
dc.authorwosid | Bektaş, Fatih/AAA-5198-2022 | |
dc.contributor.author | Eryigit, Gulsen | |
dc.contributor.author | Bektas, Fatih | |
dc.contributor.author | Ali, Ubey | |
dc.contributor.author | Dereli, Bihter | |
dc.date.accessioned | 2024-07-18T20:45:10Z | |
dc.date.available | 2024-07-18T20:45:10Z | |
dc.date.issued | 2023 | |
dc.department | İstanbul Bilgi Üniversitesi | en_US |
dc.description.abstract | 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, the morphology components and their interactions are gradually introduced to the learners within a gamified environment through automatically generated exercises. Although not specific to any language, the approach has been applied to Turkish which is a strong representative of morphologically rich languages. The study was conducted for three weeks with international students in an introductory level Turkish language course via a mobile application developed using finite-state transducer technology to model morphology. Questionnaires, e-journals and semi-structured interviews were employed to examine the perceptions and experiences of the students in terms of perceived efficacy, system usage, engagement, loyalty, perceived enjoyment, attitude, and willingness to recommend. The findings of the study revealed that the students had positive perceptions towards the proposed approach and found it effective for their learning process. The approach is considered to fill an important gap in grammar exercises for learning morphologically rich languages. Supplemental data for this article is available online at https://doi.org/10.1080/09588221.2021.1996396 . | en_US |
dc.description.sponsorship | ITU-Turkcell Researcher Funding Program | en_US |
dc.description.sponsorship | The authors would like to thank Istanbul Bilgi University and all the participants for allowing the researchers to conduct this study, Mehmet Yakuphan Bilgic for acting in the app development team, Doruk Eryiit for software testing and James Christopher Lawson for proofreading. The second author had been funded by the ITU-Turkcell Researcher Funding Program. Finally, the authors would like to thank the three anonymous reviewers for insightful comments and suggestions that helped them improve the final version of the article. | en_US |
dc.identifier.doi | 10.1080/09588221.2021.1996396 | |
dc.identifier.endpage | 1449 | en_US |
dc.identifier.issn | 0958-8221 | |
dc.identifier.issn | 1744-3210 | |
dc.identifier.issue | 8 | en_US |
dc.identifier.scopus | 2-s2.0-85119334135 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 1421 | en_US |
dc.identifier.uri | https://doi.org/10.1080/09588221.2021.1996396 | |
dc.identifier.uri | https://hdl.handle.net/11411/7425 | |
dc.identifier.volume | 36 | en_US |
dc.identifier.wos | WOS:000719623300001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Routledge Journals, Taylor & Francis Ltd | en_US |
dc.relation.ispartof | Computer Assisted Language Learning | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Intelligent Computer-Assisted Language Learning | en_US |
dc.subject | Mobile-Assisted Language Learning | en_US |
dc.subject | Finite-State Transducer | en_US |
dc.subject | Grammar | en_US |
dc.subject | Morphology | en_US |
dc.subject | Second Language Acquisition | en_US |
dc.subject | Learning | en_US |
dc.subject | Gamification | en_US |
dc.subject | Agglutinative | en_US |
dc.subject | Turkish | en_US |
dc.subject | Language | en_US |
dc.subject | Duolingo | en_US |
dc.title | Gamification of complex morphology learning: the case of Turkish | |
dc.type | Article |