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A MORPHOLOGICAL ANALYSIS OF AI-GENERATED ENGLISH TEXTS COMPARED TO HUMAN ACADEMIC WRITING Sipri Hanus Tewarat; Afriana Afriana; Zia Hisni Mubarak; Nafdi Irawan
IdeBahasa Vol 8 No 1 (2026): Jurnal Idebahasa Vol 8 No 1 Juni 2026
Publisher : Asosiasi dosen IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/idebahasa.v8i1.417

Abstract

This study investigated the morphological characteristics of AI-generated English texts in comparison with human academic writing, focusing on affixation, compounding, lexical patterns, and word-formation processes. It specifically aimed to identify morphological differences between both text types, examine how AI language models construct academic discourse at the word-formation level, and determine whether morphological analysis can effectively distinguish machine-produced from human-written academic texts. Ten academic texts — five ChatGPT-generated outputs and five drawn from student essays and final assignment articles — were purposively selected based on comparable topic, length, and register. Employing a qualitative descriptive design with a comparative approach, data were collected through documentation and analyzed using qualitative content analysis framework of data condensation, data display, and conclusion drawing. Morphological features were systematically classified into derivational affixes, inflectional affixes, compounds, acronyms, and lexical patterns. The findings revealed notable distinctions between the two text types. AI-generated texts displayed higher frequencies of derivational suffixes (186 instances) and lexical repetition (79 instances), with heavy dependence on standardized suffixes such as -tion, -ment, and -ity to sustain academic formality. Human-written texts, conversely, exhibited greater morphological complexity through multi-affix constructions like misinterpretation and unpredictability, richer compounding patterns including self-regulated learning and cross-cultural communication, and broader lexical diversity achieved through synonym substitution. The study concludes that, while AI-generated writing demonstrates grammatical consistency, human academic discourse remains superior in lexical richness, morphological creativity, and contextual adaptability.
English Inflectional Morpheme Accuracy in Indonesian EFL Students Sipri Hanus Tewarat; Zia Hisni Mubarak; Afriana Afriana
eScience Humanity Journal Vol 6 No 1 (2025): eSience Humanity Vol.6 No.1 November 2025
Publisher : Asosiasi Ide Bahasa Kepri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/esci.v6i1.335

Abstract

The study focused on how accurately fourth-semester English Literature students at Putera Batam University used eight types of English inflectional morphemes in their academic writing. Employing a descriptive qualitative approach complemented with simple statistical descriptions, the study reviewed students’ written assignments along with questionnaire data to determine their level of accuracy, the most frequent error patterns, and the factors contributing to incorrect forms. To assess accuracy, the researchers adopted Brown’s (1973) calculation and applied an 80% benchmark to classify whether a morpheme had been sufficiently acquired. The analysis revealed that only three morphemes—the present participle (-ing), the superlative (-est), and the simple past (-ed)—met or exceeded the expected mastery level. In contrast, several others, including the comparative (-er), the past participle (-ed/-en), the possessive (’s), and the third-person singular (-s), fell well below the threshold, suggesting that students had not yet mastered them. Further examination showed that omission was the error type that occurred most frequently, while misformation and addition followed as secondary patterns. The inaccuracies were largely attributed to the influence of Bahasa Indonesia as the learners’ first language and to internal developmental factors such as overgeneralization and partial understanding of grammatical rules. Overall, the findings point to persistent difficulties Indonesian EFL learners encounter when dealing with English inflectional morphology and emphasize the importance of more focused grammar instruction within academic writing courses
PELATIHAN PENERAPAN METODE SUGGESTOPEDIA DALAM PEMBELAJARAN GRAMMAR BAHASA INGGRIS DI SMKN 1 BATAM Afriana Afriana; Nafdi Irawan; Sipri Hanus Tewarat; Zia Hisni Mubarak; Yevis Haritsyah
PUAN INDONESIA Vol. 7 No. 2 (2026): Jurnal Puan Indonesia Vol 7 No 2 januari 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i2.507

Abstract

This community service activity aims to implement the Suggestopedia method in teaching English grammar to eleventh-grade students of the Industrial Automation Department at SMKN 1 Batam. Grammar learning is often perceived as difficult and monotonous, which reduces students’ motivation and participation. Therefore, the Suggestopedia method was selected because it emphasizes a relaxed learning atmosphere, positive suggestion, music, and interactive activities to minimize students’ anxiety in learning a foreign language. This program was conducted through teaching practice involving interactive explanations, games, songs, and online quizzes. The results indicate that students showed higher enthusiasm, active participation, and better understanding of basic tenses, including simple present, simple past, simple future, and present continuous tense. The implementation of the Suggestopedia method contributes positively to improving students’ motivation and confidence in using English. This activity highlights the importance of innovative teaching methods in enhancing the quality of English grammar learning at vocational schools.