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All Journal Jurnal Sosioteknologi English Review: Journal of English Education Jurnal Penelitian Humaniora Indonesian EFL Journal Applied Information System and Management International Journal of Language Teaching and Education Jurnal Teknologi dan Informasi Jurnal Informatika Global JALL (Journal of Applied Linguistics and Literacy) JOINT (Journal of Information Technology Jurnal Abdimas Bina Bangsa Brilliance: Research of Artificial Intelligence Linguistic, English Education and Art (LEEA) Journal Jurnalistrendi: Jurnal Linguistik, Sastra dan Pendidikan
Heryono, Heri
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Linguistic, English Education and Art (LEEA) Journal

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AI for Language Learning: Friend or Foe? Sujatna, Meita Lukitawati; Astarina, Atri Nadia; Heryono, Heri
Linguistic, English Education and Art (LEEA) Journal Vol 7 No 2 (2024): Linguistic, English Education and Art (LEEA)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/leea.v7i2.9331

Abstract

This is a study of the implementation of artificial intelligence (AI), especially in language learning and teaching, especially in the 2021 stages. AI has taken significant roles in learning activities that focus on student-centered learning, namely the customization of the learning speed, direct feedback, and assessment which have benefited their intended users. It has also addressed language learning-teaching challenges, including pronunciation, vocabulary, grammar, cultural differences, and motivation. However, some issues need to be addressed and regulated to ensure the safe and effective use: privacy and security of the user, technical expertise, bias, cultural sensitivity, a lack of human interaction, ethical considerations, and over-reliance on technology. Furthermore, the benefits and limitations have yet to be determined based on their dominance or balance: On one side, AI enables the learners to decide how they want to learn, while the instructors have a virtual assistant to construct curricula, materials, and assessments. On the other hand, its impact on the students in general in other learning aspects must also be considered. Therefore, it is essential to investigate further its effectiveness in how One approach is to integrate AI-based language learning tools with traditional language instruction, providing learners with a comprehensive and balanced language learning experience. For example, AI-based tools can provide learners targeted instruction and feedback on specific aspects of language use. In contrast, traditional language instruction can provide learners with opportunities for authentic language use and interaction with native speakers and peers (Lambelet & Chassot, 2019). Keywords: AI, Foreign Language Learning, Student-centered Learning
Lexical Relations in Joe Biden's Speech about Plan to Lower Prescription Drugs Cost: Semantics Study Miharsa, Sefina Putri; Heryono, Heri
Linguistic, English Education and Art (LEEA) Journal Vol 7 No 2 (2024): Linguistic, English Education and Art (LEEA)
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/leea.v7i2.9668

Abstract

The purpose of this research is to analyze the types of lexical relations and the types of meanings of lexical relations that appear in Joe Biden's Speech about the plan to reduce prescription drug prices. The method used in this research is qualitative method. The results of this research show that there are eight types of lexical relations and three types of semantic meanings; the types of lexical relations show that from 30 data that have been analyzed, eight synonym data (26.7%), ten antonym data (33.3%), three meronym data (10%), two polysemy data (6.7%), two hyponym data (6.7%), two member-collection data (6.7%), two portion-mass data (6.7%), and one homonym data (3.3%). Meanwhile, the types of semantic meanings found from 60 data that have been analyzed are 51 data of literal meaning (85%), 5 data of semi-idiomatic meaning (8.3%), and 4 data of fully idiomatic meaning (6.7%). Therefore, it can be concluded that the type of lexical relations that appears the most is antonyms at 33.3% and that the most common type of meaning is literal meaning, which is 85%. Keywords: Lexical relations, Semantics, Speech
Co-Authors Almora, Solleil Bellini Andika Dutha Bachari Annisa Amalia Ari Purno Wahyu Wibowo Astarina, Atri Nadia Azizah, Dinda Noor Bambang Ruby Sugiarto Chaniago, M Benny CM Simatupang, Ervina Dani Hamdani, Dani Devi Mulatsih Fabian, Muhammad Rifki Fadlillah, Muhammad Fathan Hendar Hendar, Hendar I Ketut Suada Ida Zuraida Supri, Ida Zuraida Ida Zuraida, Ida Jaufillaili, Jaufillaili Lilies Youlia Friatin Miharsa, Sefina Putri Mulyadi, Natashya Nabila, Isma Nur Hidayah, Siti Aisyah Nurwulan, Galih Rinanda Pratama, Fauzan Novaldy Pratama, Rizky Fajar Ramadhanti, Novia Zahra Salma, Najla Nazhifah Silalahi, Yeftasedek Simatupang, Ervina CM Siti Mardiana Sujatna, Meita Sujatna, Meita Lukitawati Wannal, Nasstasya Ilona de Zainul Muttaqin Zuraida , Ida