Panjaitan, Arsheila Lidang Astrid Christina (2022) Integrating Artificial Intelligence in Increasing Students’ Interest in Learning Speaking Skill for Eighth Grade Students at SMP Bina Bersaudara. Undergraduate thesis, UNIMED.
1. NIM 2173121010 COVER.pdf
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2. NIM 2173121010 APPROVAL SHEET.pdf
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3. NIM 2173121010 ABSTRACT.pdf
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4. NIM 2173121010 PREFACE.pdf
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5. NIM 2173121010 TABLE OF CONTENTS.pdf
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6. NIM 2173121010 TABLES.pdf
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7. NIM 2173121010 FIGURES.pdf
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8. NIM 2173121010 APPENDICES.pdf
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9. NIM 2173121010 CHAPTER I.pdf
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13. NIM 2173121010 CHAPTER V.pdf
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14. NIM 2173121010 BIBLIOGRAPHY.pdf
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Abstract
This research integrated Artificial Intelligence into speaking learning for students. It was aimed to analyse the integration of Artificial Intelligence in increasing students’ interest for eighth grade students at SMP Bina Bersaudara. This study was conducted by using qualitative research. The data were collected by analysing the results of questionnaire and interview to students. Based on the results, Artificial Intelligence effect students’ speaking and interest. The findings of this study revealed that: (1) Students had a positive attitude and very interested in learning English speaking skills towards Artificial Intelligence. Students believed the lessons with Artificial Intelligence were fun. 2) The integration of Artificial Intelligence in the 21st century curriculum is very beneficial to students and required to prepare their future career. It is also beneficial to improve language skills and students’ interest
Item Type: | Thesis (Undergraduate) |
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Keywords: | Artificial Intelligence; 21st century skills; students’ interest; speaking skills |
Subjects: | L Education > LB Theory and practice of education L Education > LB Theory and practice of education > LB1603 Secondary Education. High schools P Language and Literature > PE English |
Divisions: | Fakultas Bahasa dan Seni > Pendidikan Bahasa dan Sastra Inggris |
Depositing User: | Mrs Yuni Chairani |
Date Deposited: | 28 May 2024 03:54 |
Last Modified: | 28 May 2024 03:54 |
URI: | https://digilib.unimed.ac.id/id/eprint/57991 |