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An online between-subjects study (n=272) tested variations of a generative AI vocabulary app that personalizes learning examples based on user input, using either pre-existing contexts or AI-generated sentences and short stories. Learning performance showed no condition difference, while analysis found generative AI-driven context personalization increased learning motivation.",{"@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/putting-things-into-context-generative-ai-enabled-context-personalization-for-vocabulary-learning-improves-learning-motivation/426476/",{"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/putting-things-into-context-generative-ai-enabled-context-personalization-for-vocabulary-learning-improves-learning-motivation/426476.png","ImageObject",300,407,{"name":92,"@type":93},"Cart","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-21","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What question does the study investigate about generative AI personalization?","Question",{"text":112,"@type":113},"It examines how customizing learning contexts with generative AI affects learning outcomes and, in particular, learning motivation.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were participants assigned to different conditions?",{"text":117,"@type":113},"Participants were randomly assigned to control conditions using sentences sourced from pre-existing text or experimental conditions using generative AI to create sentences or short stories based on user input.",{"name":119,"@type":110,"acceptedAnswer":120},"What were the main findings regarding learning performance and motivation?",{"text":121,"@type":113},"No difference in learning performance was observed across conditions, but generative AI-driven context personalization positively affected learning motivation.","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},426476,1790740043,{"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":39,"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},18829141979164,"https://eur-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Puting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning  \nMotivation  \nJoanne Leong  \nMIT Media Lab Cambridge, MA, USA [joaleong@media.mit.edu](joaleong@media.mit.edu)  \nFlorian Perteneder  \nIndependent Hagenberg, Austria [foperteneder@gmail.com](foperteneder@gmail.com)  \nPat Pataranutaporn MIT Media Lab  \nCambridge, MA, USA [patpat@mit.edu](patpat@mit.edu)  \nYaoli Mao  \nColumbia University New York, NY, USA[ym2429@tc.columbia.edu](ym2429@tc.columbia.edu)  \nValdemar Danry  \nMIT Media Lab Cambridge, MA, USA [vdanry@mit.edu](vdanry@mit.edu)  \nPattie Maes  \nMIT Media Lab Cambridge, MA, USA [pattie@media.mit.edu](pattie@media.mit.edu)  \nABSTRACT  \nFostering students’ interests in learning is considered to have many positive downstream efects. Large language models have opened up new horizons for generating content tuned to one’s interests, yet it is unclear in what ways and to what extent this customization could have positive efects on learning. To explore this novel dimension, we conducted a between-subjects online study (n=272) featuring diferent variations of a generative AI vocabulary learning app that enables users to personalize their learning examples. Participants were randomly assigned to control (sentence sourced from pre-existing text) or experimental conditions (generated sentence or short story based on users’ text input) . While we did not observe a diference in learning performance between the conditions, the analysis revealed that generative AI-driven context personalization positively afected learning motivation. We discuss how these results relate to previous fndings and underscore their signifcance for the emerging feld of using generative AI for personalized learning.  \nCCS CONCEPTS  \n• Human-centered computing → Empirical studies in HCI;  \n• Computing methodologies → Natural language generation; • Applied computing → Education.  \nKEYWORDS  \ngenerative artifcial intelligence, education, learning, vocabulary  \nACM Reference Format:  \nJoanne Leong, Pat Pataranutaporn, Valdemar Danry, Florian Perteneder, Yaoli Mao, and Pattie Maes. 2024. Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 15 pages. [https://doi.org/10.1145/3613904.3642393](https://doi.org/10.1145/3613904.3642393)  \nThis work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.  \nCHI’24, May 11–16, 2024, Honolulu, HI, USA © 2024 Copyright held by the owner/author(s) .  \nACM ISBN 979-8-4007-0330-0/24/05  \n[https://doi.org/10.1145/3613904.3642393](https://doi.org/10.1145/3613904.3642393)  \n1 INTRODUCTION  \nCatering learning experiences to students’ interests is considered to have many positive efects. It can make students more persistent [4], and it impacts students’ career choices [19] . Yet, according to Hidi and Harackiewicz [20], motivating students is one of the greatest challenges in education. One impediment to fostering interest is the one-size-fts-all approach to educational materials. While this has had a crucial beneft of making education accessible to a large number of people, it can often fall short in engaging students. Since each student arrives with diferent prior knowledge and interests, some students have trouble connecting with these materials and consequently lose interest in learning [30] .  \nIn light of this, the arrival of landmark AI developments is considered an opportunity to revolutionize education, bringing new hopes for exciting educational experiences. In particular, the introduction of advanced large language models (LLMs) such as GPT-3/4 and ChatGPT,1 which are capable of dynamically generating passages of text that are difcult to distinguish from authentic human writing, opens up numerous possibilities. ","cbCaibbF2lhPGJaD","https://ap.wps.com/l/cbCaibbF2lhPGJaD","pdf",3247266,15,"English","# Abstract\n# Introduction","[{\"question\":\"What question does the study investigate about generative AI personalization?\",\"answer\":\"It examines how customizing learning contexts with generative AI affects learning outcomes and, in particular, learning motivation.\"},{\"question\":\"How were participants assigned to different conditions?\",\"answer\":\"Participants were randomly assigned to control conditions using sentences sourced from pre-existing text or experimental conditions using generative AI to create sentences or short stories based on user input.\"},{\"question\":\"What were the main findings regarding learning performance and motivation?\",\"answer\":\"No difference in learning performance was observed across conditions, but generative AI-driven context personalization positively affected learning motivation.\"}]","Putting Things into Context - Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation | PDF",1790640692,38]