[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124523-en":3,"doc-seo-124523-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124523,7971461741311,"Ophelia","https://ap-avatar.wpscdn.com/avatar/74000253aff267980c6?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779345379180704826",8,"Research & Report","Analysis of Gen Z Preferences in Improving English Proficiency - using Machine Learning","This study analyzes Generation Z (Gen Z) preferences for improving English proficiency using machine learning with the Random Forest algorithm. The dataset is organized into three classes—Applications, Entertainment_Media, and Tutoring—and is processed through a preprocessing pipeline before model training. The Random Forest model identifies key factors affecting performance, including learning factors, media choice, learning duration, understanding, and motivation. Hyperparameter tuning yields 62% accuracy, supporting the design of more personalized learning approaches.","Analysis of Gen Z Preferences in Improving English Proficiency  \nusing Machine Learning  \nKeisha Naiza Djalle1, Anita Anggraeni2  \n1 Telkom University, Indonesia  \n2 IKIP Siliwangi, Indonesia  \n[1](1 keishanaiza@student.telkomuniversity.ac.id)[ keishanaiza@student.telkomuniversity.ac.id](1 keishanaiza@student.telkomuniversity.ac.id), [2](2 anitaenglish26@ikipsiliwangi.ac.id)[ anitaenglish26@ikipsiliwangi.ac.id](2 anitaenglish26@ikipsiliwangi.ac.id)  \nAbstract  \nThis study analyzes Generation Z (Gen Z) preferences in enhancing English proficiency using machine learning with the Random Forest algorithm. The analysis aims to determine how accurately Random Forest can predict or classify models. The dataset contains three classes: “Applications,”“Entertainment_Media,” and “Tutoring.” Data collected was processed during the pre-processing stage. With this dataset, the model was trained and identified the most influential features on model performance: factors, media, learning duration, understanding, and motivation. The model achieved an accuracy of 62% with hyperparameter tuning. This research aims to contribute to the development of more personalized learning methods for Gen Z.  \nKeywords: Gen Z; English Proficiency; Machine Learning  \nINTRODUCTION  \nLanguage is the primary communication tool used by humans in everyday life to convey information, ideas, and emotions. It is an innate ability possessed by humans as social beings. Language also refers to sound expressions produced by the movement of organs that are captured by the ear or auditory senses (Sari & Lestari, 2019). Without language, humans would be unable to interact with others. Especially in today’s modern and digital era, strong language skills are highly valued in various fields of life. One important language used for communication is English. English is a critical language in the era of globalization. In addition to being an international language, English is a key requirement in education, employment, and access to digital information. In Indonesia, improving English proficiency is considered one of the key indicators for youth preparedness in facing global competition (Siregar & Wahyuni, 2022) . Generation Z those born between 1997 and 2012 is the most adaptive age group, as they were born amidst the digital revolution. This has enabled them to connect with various communication platforms that facilitate global communication (Sari, Ningsih, Pitri, Susmita, & Fazira, 2024) . Therefore, it is essential for Gen Z to understand English. Although Gen Z is highly adaptive and grew up in a digital era, they have different preferences for enhancing their English skills. These variations suggest that a successful learning strategy for Generation Z is essential and should take into account their preferred methods of learning. To better comprehend these patterns, a machine learning-based strategy can be applied. Machine learning has already been widely applied in many fields, including education (Roihan, Sunarya, & Rafika, 2020) . Many new educational opportunities have been made possible by technological advancements, especially in the area of machine learning (Sucianingtyas et al., 2025) . Personalized learning, effective analysis, and more objective evaluation are just a few advantages of using machine learning in education (Hermawan et al., 2024) . Furthermore, metrics like accuracy, precision, recall, and F1-score can be used to assess performance when machine learning is applied (Owoc et al., 2019) . Machine learning also facilitates more adaptive  \nand effective language learning, as it can tailor learning activities to individual needs. By using this algorithm, Gen Z’s learning preferences can be analyzed objectively, which can assist educational system designers in creating suitable learning strategies. This study aims to analyze Gen Z’s preferences in improving English proficiency using machine learning and identify the factors influencing their choice of learning","cbCailr5uzni9cdK","https://ap.wps.com/l/cbCailr5uzni9cdK","pdf",392342,1,7,"English","en",105,"# Abstract\n# Introduction\n# Method\n## Feature Design and Dataset","[{\"question\":\"What is the purpose of analyzing Gen Z preferences in this study?\",\"answer\":\"The study aims to analyze Gen Z preferences for improving English proficiency and identify factors influencing their choice of learning methods.\"},{\"question\":\"Which machine learning algorithm and model task are used?\",\"answer\":\"The Random Forest algorithm is used to classify preferences among three learning categories and to predict model performance based on input features.\"},{\"question\":\"What dataset classes are included in the analysis?\",\"answer\":\"The dataset includes three classes: Applications, Entertainment_Media, and Tutoring.\"}]","Analysis of Gen Z Preferences in Improving English Proficiency - using Machine Learning | PDF",1785822886,18,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"analysis-of-gen-z-preferences-in-improving-english-proficiency-using-machine-learning","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/analysis-of-gen-z-preferences-in-improving-english-proficiency-using-machine-learning/124523/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the purpose of analyzing Gen Z preferences in this study?","Question",{"text":75,"@type":76},"The study aims to analyze Gen Z preferences for improving English proficiency and identify factors influencing their choice of learning methods.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which machine learning algorithm and model task are used?",{"text":80,"@type":76},"The Random Forest algorithm is used to classify preferences among three learning categories and to predict model performance based on input features.",{"name":82,"@type":73,"acceptedAnswer":83},"What dataset classes are included in the analysis?",{"text":84,"@type":76},"The dataset includes three classes: Applications, Entertainment_Media, and Tutoring.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]