Kori, Ni Made Dwi Apsari (2026) INVESTIGATING EFL LECTURERS’ READINESS TO USE GENERATIVE AI FOR TEACHING ENGLISH AT UNIVERSITY IN BULELENG DISTRICT. Undergraduate thesis, Universitas Pendidikan Ganesha.
![[img]](http://repo.undiksha.ac.id/style/images/fileicons/text.png) |
Text (COVER)
2212021048-COVER.pdf Download (9MB) |
|
Text (ABSTRAK)
2212021048-ABSTRAK.pdf Download (9MB) |
|
Text (BAB 1 PENDAHULUAN)
2212021048-BAB 1 PENDAHULUAN.pdf Download (9MB) |
|
Text (BAB 2 KAJIAN TEORI)
2212021048-BAB 2 KAJIAN TEORI.pdf Restricted to Repository staff only Download (9MB) | Request a copy |
|
Text (BAB 3 METODOLOGI PENELITIAN)
2212021048-BAB 3 METODOLOGI PENELITIAN.pdf Restricted to Repository staff only Download (9MB) | Request a copy |
|
Text (BAB 4 HASIL DAN PEMBAHASAN)
2212021048-BAB 4 HASIL DAN PEMBAHASAN.pdf Restricted to Repository staff only Download (9MB) | Request a copy |
|
Text (BAB 5 PENUTUP)
2212021048-BAB 5 PENUTUP.pdf Restricted to Repository staff only Download (9MB) | Request a copy |
|
Text (DAFTAR PUSTAKA)
2212021048-DAFTAR PUSTAKA.pdf Download (9MB) |
|
Text (LAMPIRAN)
2212021048-LAMPIRAN.pdf Download (9MB) |
Abstract
The development of generative AI tools has increasingly influenced teaching practices, including in English teaching in higher education. While many lecturers have begun integrating generative AI into English language instruction, their level of readiness to use these technologies effectively remains underexplored, especially in the Buleleng District. Thus, this study aims to investigate s the readiness of EFL lecturers in universities in Buleleng District to use generative AI in teaching English. Using a mixed-method explanatory sequential design, quantitative data were collected through a survey of 28 lecturers using the RAIS instrument, followed by interviews with five lecturers to further explain the findings. It was found that the lecturers are ready to use generative AI. However, lecturers feel less ready when they have to face technical problems with the tools and implement ethical practices. These were due to the surface level of AI use and the limited institutional AI policy. These findings suggest that deeper pedagogical use and clearer regulatory frameworks are necessary to support responsible and effective AI implementation in higher education.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Readiness, Generative AI, Lecturers |
| Subjects: | L Education > L Education (General) P Language and Literature > PE English T Technology > T Technology (General) |
| Divisions: | Fakultas Bahasa dan Seni > Jurusan Bahasa Asing > Program Studi Pendidikan Bahasa Inggris (S1) |
| Depositing User: | Ni Made Dwi Apsari Kori |
| Date Deposited: | 22 Jun 2026 01:20 |
| Last Modified: | 22 Jun 2026 01:20 |
| URI: | http://repo.undiksha.ac.id/id/eprint/29899 |
Actions (login required)
 |
View Item |