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ESL STUDENTS' INTERPRETATIONS OF PUN IN ENGLISH JOKES Pasaribu, Tiara Kristina; Pasaribu, Donna Ria; Simanjuntak, Hotnida Irawaty; Hia, Leli Arlinawati; Halawa, Ardiwan
TELL - US JOURNAL Vol 11, No 1 (2025): March 2025
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/tus.2025.v11i1.9173

Abstract

This research is expected to broaden students' perspectives through humor, specifically "puns" or "one-liners." The interpretation of ESL students towards English jokes will be analyzed to understand their comprehension of "wordplay." The objectives of the study are to determine how ESL students interpret puns and to identify the difficulties arising from misinterpretations of puns. This study employs a qualitative descriptive approach. Questionnaires and interviews are used to help understand linguistic difficulties and cultural knowledge, exploring students' cultural understanding by exposing them to the use of wordplay in English.The novelty of this research lies in analyzing puns from the perspective of ESL students in North Sumatra, comprising Batak and Nias ethnic students. The findings indicate that students' interpretations of puns show that most can understand the humor if their vocabulary is strong. They can interpret homonyms effectively. Cultural knowledge plays a crucial role; the broader their experiences in the outside world, the better they can appreciate pun humor. Good metacognitive skills also aid students in interpreting pun humor, evident in how they attempt to understand wordplay. Some students can "understand" the jokes due to their familiarity with the words through prior experiences.The researcher hopes that students' vocabulary can be enhanced so they grasp double meanings in humor better. Students are encouraged to expand their cultural knowledge and metacognitive skills by exposing themselves more to foreign cultures through reading, listening to news, social media, or new experiences.
An Investigation of Illocutionary Acts in ChatGPT’s Responses on Students’ Questions Halawa, Ardiwan; Manik, Sondang; Pasaribu, Arsen Nahum
JELITA Vol 7 No 1 (2026): IN-PRESS Issue Journal of English Language Teaching and Literature (JELITA)
Publisher : Universitas Muhammadiyah Barru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56185/jelita.v7i1.1247

Abstract

This study examines the realization of illocutionary acts in ChatGPT’s responses to students, focusing specifically on representative and directive illocutionary acts based on John R. Searle’s Speech Act Theory (1979). As artificial intelligence becomes increasingly integrated into educational contexts, understanding how AI performs communicative actions through language is essential from a pragmatic perspective. This research employs a qualitative descriptive method to analyze 256 ChatGPT utterances collected from written interactions with 20 English Literature students. The students were asked to engage in natural conversations with ChatGPT, while the analysis concentrated exclusively on ChatGPT’s responses as the primary data. The findings reveal that representative illocutionary acts are dominant, occurring in 150 utterances (58.37%), while directive illocutionary acts appear in 106 utterances (41.63%). Representative acts are primarily used to explain, define, and evaluate information, positioning ChatGPT as an informative and explanatory interlocutor. Directive acts function mainly to provide guidance, suggestions, and encouragement, supporting students’ decision-making and problem-solving processes. This distribution indicates that ChatGPT balances informational and instructional roles in academic interaction. The study concludes that ChatGPT demonstrates emerging pragmatic competence in educational settings through its effective use of representative and directive illocutionary acts. However, the findings are limited to a specific academic context and two illocutionary categories. Future research is encouraged to explore other types of speech acts and broader educational environments to further examine AI-mediated academic discourse.