[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-599820-105":59,"doc-detail-599820-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","designing-a-teachable-agent-system-for-mathematics-learning","Designing a Teachable Agent System for Mathematics Learning","","Learning-by-teaching is examined as an effective instructional approach through virtual environments that use Teachable Agents (TAs). The work analyzes limitations of existing TA systems and their learner–computer interaction methods, especially concept-map communication that can restrict what learners teach. A new symbol-manipulation communication method is proposed for K-12 mathematics learning, alongside the system’s design and development process. Future research directions 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/designing-a-teachable-agent-system-for-mathematics-learning/599820/",{"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/designing-a-teachable-agent-system-for-mathematics-learning/599820.png","ImageObject",300,407,{"name":92,"@type":93},"PakDamar76","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main instructional approach behind a Teachable Agent system?","Question",{"text":112,"@type":113},"The system is built on the learning-by-teaching pedagogy, where learners actively teach a computer agent and then query it to access its knowledge.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What interaction method do the authors criticize in existing TA systems?",{"text":117,"@type":113},"They highlight concept-map-based communication, where learners teach by drawing and editing concept maps, and note that learners may be constrained to limited topic areas.",{"name":119,"@type":110,"acceptedAnswer":120},"What new communication method does the project propose for K-12 mathematics learning?",{"text":121,"@type":113},"The project proposes a symbol-manipulation approach to enable interaction between the learner and the Teachable Agent, aiming to support mathematics learning more broadly.","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},599820,1792170752,{"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":24,"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},962090893057,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Designing a Teachable Agent System for Mathematics Learning  \nDonggil Song  \nSam Houston State University, United States  \nAbstract  \nLearning-by-teaching has been identified as one of the more effective approaches to learning.  \nRecently, educational researchers have investigated virtual environments in order to utilize the learning-by-teaching pedagogy. In a face-to-face learning-by-teaching situation, the role of the learners is to teach their peers or instructors. In virtual environments, learners take an active role by teaching a computer agent, which is referred to as Teachable Agent (TA) . Although the current TA systems have shown their effectiveness on students’ learning, there are some challenges associated with learner-computer interaction methods. One of the most popular interaction methods between the learner and the system is a concept map approach. The learner teaches TA by creating information structures by drawing and editing their concept map.  \nHowever, the learner can teach TA rather constrained topics, such as concept-related materials or causal effects. It is difficult for TA systems to be utilized in different types of learning along with concept-related areas. Therefore, new approaches or methods for communication between a human learner and TA systems are required. This project aims to suggest a virtual learning-by-teaching environment. A communication method (i.e., a symbol manipulation approach) was adopted in this system. The method facilitates the interaction between the learner and the computer agent, specifically for K-12 students’ mathematics learning. The design and development process is described, and future research areas are discussed.  \nKeywords: Learning-by-teaching, Teachable agent, Pedagogical agent, Intelligent system  \nIntroduction  \nTeaching others has been identified as an effective learning strategy (Frager & Stern, 1970; Leikin, 2006; Muis, Psaradellis, Chevrier, Di Leo, & Lajoie, 2016; Tang, Hernandez, & Adams, 2004) . Researchers and educators have created virtual learning-by-teaching environments using pedagogical computer agents, called a Teachable Agent (TA) . A pedagogical agent is a type of educational software that has human characteristics and/or appearances. Pedagogical agent systems are designed to support learners in online learning environments. TA is a type of pedagogical agent, and it takes a unique approach, which is different from the methods that are employed in traditional agent systems. Traditional agent systems are designed to be demonstrative and unidirectional. On the other hand, TA systems have their own knowledge to demonstrate and support interactive activities. In a variety of research, TA systems showed their effectiveness on students’ learning. However, there are some challenges associated with human-computer interaction methods which are used in the previous systems. One of the most popular learnersystem interaction methods is a concept map approach. The learner teaches a TA through creating  \ninformation structures by drawing and editing their concept map. However, there are some limitations in the current method with one such example being human learners are only able to teach limited topic areas. This project aims to suggest a virtual learning-by-teaching environment that adopts a new communication method. In addition, this project aims to suggest a preliminary idea for extending TA systems into a more theorized virtual learning-by-teaching pedagogy.  \nBackground  \nTraditionally, a pedagogical agent is usually embedded in Intelligent Tutoring Systems (ITS), which focuses on modeling learners and tailoring feedback to address learners’ immediate needs (Leelawong et al., 2003) . ITS have successfully been adopted in different types of education fields (Kulik & Fletcher, 2015) . However, there were some conceptual limitations in the earlier age of ITS. For example, traditional ITS provide limited feedback to learners, and limited opportunities to prac","cbCaifeRSlyI6zPg","https://ap.wps.com/l/cbCaifeRSlyI6zPg","pdf",1088129,15,"English","# Introduction\n# Background\n# Learning-by-Teaching and Teachable Agent System\n# System Design and Development (Proposed Approach)\n# Future Research Directions","[{\"question\":\"What is the main instructional approach behind a Teachable Agent system?\",\"answer\":\"The system is built on the learning-by-teaching pedagogy, where learners actively teach a computer agent and then query it to access its knowledge.\"},{\"question\":\"What interaction method do the authors criticize in existing TA systems?\",\"answer\":\"They highlight concept-map-based communication, where learners teach by drawing and editing concept maps, and note that learners may be constrained to limited topic areas.\"},{\"question\":\"What new communication method does the project propose for K-12 mathematics learning?\",\"answer\":\"The project proposes a symbol-manipulation approach to enable interaction between the learner and the Teachable Agent, aiming to support mathematics learning more broadly.\"}]","Designing a Teachable Agent System for Mathematics Learning | PDF",1792089502,38]