[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-593055-105":59,"doc-detail-593055-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","the-continuance-intention-of-users-toward-mobile-assisted-language-learning-the-case-of-duolingo","The continuance intention of users toward mobile assisted language learning - The case of DuoLingo","","This study examines users’ continuance intention toward mobile-assisted language learning (MALL) after a fourteen-week experience with Duolingo. It applies the Technology Acceptance Model, Theory of Planned Behavior, and Expectation Confirmation Model to survey 379 university students taking English I. Findings show perceived behavioral control, attitude, subjective norms, satisfaction, and perceived usefulness significantly predict continuance intention. The proposed model is validated with the reported relationships, and theory, practice, and policy implications are discussed.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/the-continuance-intention-of-users-toward-mobile-assisted-language-learning-the-case-of-duolingo/593055/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/the-continuance-intention-of-users-toward-mobile-assisted-language-learning-the-case-of-duolingo/593055.png","ImageObject",300,407,{"name":92,"@type":93},"Aran","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main purpose of the study?","Question",{"text":112,"@type":113},"To predict users’ continuance intention toward mobile-assisted language learning (MALL) after fourteen weeks of experience with Duolingo.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which models are used to analyze continuance intention?",{"text":117,"@type":113},"The study uses the Technology Acceptance Model, Theory of Planned Behavior, and Expectation Confirmation Model.",{"name":119,"@type":110,"acceptedAnswer":120},"What factors significantly influence students’ continuance intention to use MALL?",{"text":121,"@type":113},"Perceived behavioral control, attitude, subjective norms, satisfaction, and perceived usefulness significantly affect continuance intention.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},593055,1792165326,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},137455076865,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","The continuance intention of users toward mobile assisted language learning:  \nThe case of DuoLingo  \nErhan Ünal, Fatih Güngör  \nAbstract: Recently, mobile learning has become a potential approach in education due to its use inside and/or outside the classroom. Considering that the majority of mobile device users are 18-29 years old higher education students and English is the predominant language of the internet, this study aimed to predict the continuance intention of users toward mobile-assisted language learning (MALL) after fourteen weeks experience on a mobile application, namely Duolingo. To do this, we used the Technology Acceptance Model, Theory of Planned Behavior and Expectation Confirmation Model. The participants were 379 students taking the course English I. This cross-sectional survey study revealed that perceived behavioral control, attitude, subjective norms, satisfaction, and perceived usefulness have a significant effect on the university students’ continuance intention to use MALL. In turn, it validated our proposed model on the continuance intention to use MALL. Based on the results of this study, some practical and theoretical implications were discussed.  \nKeywords: mobile learning, language learning, continuance intention, higher education , mobile application.  \nHighlights  \nWhat is already known about this topic:  \n• One of the main factors for successful integration of mobile-assisted language learning (MALL) is examining users’ intentions. Therefore, different adoption and acceptance models can be used.  \n• The adoption and acceptance studies in MALL focused on participants who had no experience with MALL  \nWhat this paper contributes:  \n• This study investigated factors influencing students’ continuance intention to use MALL.  \n• Our model accounted for 62% of variance in continuance intention to use MALL.  \n• Perceived behavioral control was the most influential factor in the model.  \nImplications for theory, practice and/or policy:  \n• Duolingo and other applications may focus on the proficiency level of newly starting users and tailor their activities upon their levels to increase the self-efficacy of users.  \n• Higher education institutions should provide organizational support and technical support for mobile applications to increase the use of MALL.  \n• Especially in Turkish higher education context, teaching large classrooms might become easier with the integration of technology, and low-achieving students in these classrooms might grasp the opportunity to achieve.  \n• Different learning materials (multimedia, audio record, video, animation, etc. ) may be integrated into mobile applications to increase students’ level of satisfaction and attitudes.  \nIntroduction  \nMobile technologies have significantly and continuously increased over the past 15 years (DalviEsfahani et al. , 2020 ; Jurkovič, 2019; Loewen et al. , 2019; Viberg & Grönlund, 2013; Zhonggen & Xiaozhi, 2019) by exceeding the numbers of desktops and laptops with a dramatic speed (Pegrum, 2014) . Not only does this increase find its way for social and entertainment purposes, but it also allows new contexts for informational, academic, and educational purposes (Duman et al. , 2015; GodwinJones, 2017; Pachler et al. , 2010) .  \nMobile learning, as a developing potential approach of education (Chung et al. , 2019), attracts attention at higher education (Botero et al. , 2018; Hamidi & Chavoshi, 2018; Tang & Hew, 2017) with the spread of mobile devices and areas of use based on the fact that mobile device users primarily consist of 18- 29 years old higher education students (PEW Research Center, 2019) . As one of the emerging areas, mobile-assisted language learning (MALL) has received considerable interest of language learners (AlOtaibi et al. , 2016) because it allows them decide where, when, and how to utilize mobile technologies autonomously and study on a second language (Reinders & Benson, 2017) .  \nMobile learning comes with “a ","cbCaifLqxClg93qo","https://ap.wps.com/l/cbCaifLqxClg93qo","pdf",566299,22,"English","# Highlights\n## What is already known about this topic\n## What this paper contributes\n## Implications for theory, practice and/or policy\n# Introduction","[{\"question\":\"What is the main purpose of the study?\",\"answer\":\"To predict users’ continuance intention toward mobile-assisted language learning (MALL) after fourteen weeks of experience with Duolingo.\"},{\"question\":\"Which models are used to analyze continuance intention?\",\"answer\":\"The study uses the Technology Acceptance Model, Theory of Planned Behavior, and Expectation Confirmation Model.\"},{\"question\":\"What factors significantly influence students’ continuance intention to use MALL?\",\"answer\":\"Perceived behavioral control, attitude, subjective norms, satisfaction, and perceived usefulness significantly affect continuance intention.\"}]","The continuance intention of users toward mobile assisted language learning - The case of DuoLingo | PDF",1792076506,55]