[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-153860-105":59,"doc-detail-153860-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","learning-within-fiber-crafted-algorithms-posthumanist-perspectives-for-capturing-human-material-collaboration","Learning within fiber‑crafted algorithms - Posthumanist perspectives for capturing human-material collaboration","","A key commitment of computer-supported collaborative learning research is to study how people learn in collaborative settings in order to guide the development of methods for capture and learning design. The research tradition examines how the physical world shapes collaboration, while a material turn emphasizes how both digital and tangible technologies actively contribute. Methodologies for capturing the role of non-human agents remain limited. This study uses fiber crafts and video data to empirically test posthumanist decentering of humans in human-material algorithm performance.",{"@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/learning-within-fiber-crafted-algorithms-posthumanist-perspectives-for-capturing-human-material-collaboration/153860/",{"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/learning-within-fiber-crafted-algorithms-posthumanist-perspectives-for-capturing-human-material-collaboration/153860.png","ImageObject",300,407,{"name":92,"@type":93},"Jiven","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-08-28",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 problem does the study address in CSCL research?","Question",{"text":112,"@type":113},"It addresses the lack of developed methodologies for capturing how non-human agents contribute to collaborative learning processes.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the study operationalize the posthumanist perspective?",{"text":117,"@type":113},"It decentrers humans methodologically by analyzing differences between human and non-human participants over time using video data in fiber craft contexts.",{"name":119,"@type":110,"acceptedAnswer":120},"What do the findings show about algorithm performance in weaving and fabric manipulation?",{"text":121,"@type":113},"In weaving, algorithms emerge as repeated youth-material movements dimension by dimension; in fabric manipulation, they emerge as repeated confluences of component parts.","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},153860,1791221883,{"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,"preview_page_count":4},1099513958607,"https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399","Learning within fiber‑crafted algorithms: Posthumanist perspectives for capturing human‑material collaboration  \nAnna Keune1  \nReceived: 26 May 2022 / Accepted: 29 October 2023 / Published online: 21 February 2024 © The Author(s) 2024  \nAbstract  \nA key commitment of computer-supported collaborative learning research is to study how people learn in collaborative settings to guide development of methods for capture and design for learning. Computer-supported collaborative learning research has a tradition of studying how the physical world plays a part in collaborative learning. Within the field, a material turn is emerging that considers how digital and tangible technologies actively contribute to collaborative learning processes. Studying how tangible materials produce collaborative learning visibly and algorithmically is particularly important at a time when advanced algorithms are integrated into educational contexts in ways that are not always transparent. However, the needed methodologies for capturing how non-human agents take part in collaborative learning remains underdeveloped. The present study builds on current CSCL research that investigates materials in collaborative learning and introduces posthumanist perspectives with the aim to decenter humans methodologically and to probe empirically whether and how these perspectives contribute to empirical understanding of collaborative learning processes. Taking fiber crafts (e.g., weaving and fabric manipulation) asa context for computational learning, the present study conducted a posthumanist analysis of differences among human and non-human participants in collaboration using video data to investigate how middle school youths and fiber craft components performed algorithms over time. The findings show how both youths and craft materials actively contributed to the performance of algorithms. In weaving, algorithms became repeated youth-material movements one dimension at a time. In fabric manipulation, algorithms became a repeated confluence of component parts. Decentering humans through an analysis of differences among human and non-human introduced human-material collaboration as a productive unit of analysis for understanding how materials and people together contribute to producing what can be recognized as computational performance. The findings of this research contribute to ongoing conversations in CSCL research on how computational materials can be considered in collaborative learning and present a new approach to capture collaborative learning as physical expansion over time. The study has implications for future research on capturing collaborative computational learning and designing physical computational learning opportunities that show technology as evolving.  \nKeywords Human-material collaboration · Posthumanist perspective · Analysis of differences · Computational learning · Fiber crafts  \nExtended author information available on the last page of the article  \nIntroduction  \nImproving theory and knowledge about collaborative learning is crucial to better understand how to design high-quality approaches to capturing and facilitating learning (e.g., Kolodner, 2004; Lee, 2018). A prerequisite for that is the study of the material world where learning takes place (Kolodner, 2004) . Computer-supported collaborative learning (CSCL) research has a strong tradition of considering how digital and tangible materials contribute to collaborative learning and collaborative learning processes. Studying the use and movement of digital and tangible materials that learning is contingent on provided evidence of collaborative learning and collaborative learning processes, extending the unit of analyses to include environmental and contextual factors, such as material and body movements (e.g., Arnseth & Krange, 2016 ; Davidsen & Ryberg, 2017) . Especially in CSCL research on design and craftsmanship, there is a growing trend that emphasizes the active involvement of material","cbCaifhKZe2g9qwT","https://ap.wps.com/l/cbCaifhKZe2g9qwT","pdf",1674783,29,"English","# Abstract\n# Introduction\n## Posthumanist perspectives and the material turn in CSCL\n## Research gap and study aim","[{\"question\":\"What problem does the study address in CSCL research?\",\"answer\":\"It addresses the lack of developed methodologies for capturing how non-human agents contribute to collaborative learning processes.\"},{\"question\":\"How does the study operationalize the posthumanist perspective?\",\"answer\":\"It decentrers humans methodologically by analyzing differences between human and non-human participants over time using video data in fiber craft contexts.\"},{\"question\":\"What do the findings show about algorithm performance in weaving and fabric manipulation?\",\"answer\":\"In weaving, algorithms emerge as repeated youth-material movements dimension by dimension; in fabric manipulation, they emerge as repeated confluences of component parts.\"}]","Learning within fiber‑crafted algorithms - Posthumanist perspectives for capturing human-material collaboration | PDF",1787883558,73]