An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care
IntroductionThe elderly care industry in Japan is currently facing significant challenges, including chronic labor shortages, high staff turnover, and low levels of IT utilization. Effective human resource development is crucial to address these issues.MethodsIn this study, we propose an AI-supporte...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Digital Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1529072/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849422239480414208 |
|---|---|
| author | Naoki Mitsugi Naoki Mitsugi Koki Ijuin Chiaki Oshiyama Eri Hara Takuichi Nishimura |
| author_facet | Naoki Mitsugi Naoki Mitsugi Koki Ijuin Chiaki Oshiyama Eri Hara Takuichi Nishimura |
| author_sort | Naoki Mitsugi |
| collection | DOAJ |
| description | IntroductionThe elderly care industry in Japan is currently facing significant challenges, including chronic labor shortages, high staff turnover, and low levels of IT utilization. Effective human resource development is crucial to address these issues.MethodsIn this study, we propose an AI-supported method to facilitate both individual and organizational development in elderly care settings. This approach integrates Kolb's experiential learning theory and Huber's organizational learning framework. Staff members use digital tools to record their daily observations, which are then processed by an AI system. The AI organizes and visualizes the data to promote structured reflection and behavioral improvement.ResultsThe visualized data serve as a basis for personalized guidance provided by managers and senior staff, tailored to each employee's personality and situation. This process fosters cooperation and knowledge sharing within the organization. The demonstration study showed that AI-supported reflection enhanced organizational collaboration, improved work procedures, and increased staff's goal awareness and proactive behavior.DiscussionFurthermore, individual experiences were transformed into structured, purpose-oriented organizational knowledge through AI-driven analysis and were utilized as manuals. The method ensures cost efficiency and adaptability for small-scale care facilities through the use of digital infrastructure. It provides a practical and scalable solution to enhance care quality and workforce development. |
| format | Article |
| id | doaj-art-9a42352efef542daaacb1296fcf6ec1c |
| institution | Kabale University |
| issn | 2673-253X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Digital Health |
| spelling | doaj-art-9a42352efef542daaacb1296fcf6ec1c2025-08-20T03:31:11ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2025-07-01710.3389/fdgth.2025.15290721529072An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly careNaoki Mitsugi0Naoki Mitsugi1Koki Ijuin2Chiaki Oshiyama3Eri Hara4Takuichi Nishimura5School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, JapanResearch and Development Division, C-Cube Inc., Arakawa, JapanSchool of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, JapanSchool of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, JapanResearch and Development Division, C-Cube Inc., Arakawa, JapanSchool of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, JapanIntroductionThe elderly care industry in Japan is currently facing significant challenges, including chronic labor shortages, high staff turnover, and low levels of IT utilization. Effective human resource development is crucial to address these issues.MethodsIn this study, we propose an AI-supported method to facilitate both individual and organizational development in elderly care settings. This approach integrates Kolb's experiential learning theory and Huber's organizational learning framework. Staff members use digital tools to record their daily observations, which are then processed by an AI system. The AI organizes and visualizes the data to promote structured reflection and behavioral improvement.ResultsThe visualized data serve as a basis for personalized guidance provided by managers and senior staff, tailored to each employee's personality and situation. This process fosters cooperation and knowledge sharing within the organization. The demonstration study showed that AI-supported reflection enhanced organizational collaboration, improved work procedures, and increased staff's goal awareness and proactive behavior.DiscussionFurthermore, individual experiences were transformed into structured, purpose-oriented organizational knowledge through AI-driven analysis and were utilized as manuals. The method ensures cost efficiency and adaptability for small-scale care facilities through the use of digital infrastructure. It provides a practical and scalable solution to enhance care quality and workforce development.https://www.frontiersin.org/articles/10.3389/fdgth.2025.1529072/fullelderly careAI-assistedexperiential learningorganizational learningreflective practiceknowledge sharing |
| spellingShingle | Naoki Mitsugi Naoki Mitsugi Koki Ijuin Chiaki Oshiyama Eri Hara Takuichi Nishimura An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care Frontiers in Digital Health elderly care AI-assisted experiential learning organizational learning reflective practice knowledge sharing |
| title | An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care |
| title_full | An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care |
| title_fullStr | An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care |
| title_full_unstemmed | An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care |
| title_short | An AI-mediated framework for recursive learning: transforming individual experiences into organizational knowledge and autonomous engagement in elderly care |
| title_sort | ai mediated framework for recursive learning transforming individual experiences into organizational knowledge and autonomous engagement in elderly care |
| topic | elderly care AI-assisted experiential learning organizational learning reflective practice knowledge sharing |
| url | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1529072/full |
| work_keys_str_mv | AT naokimitsugi anaimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT naokimitsugi anaimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT kokiijuin anaimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT chiakioshiyama anaimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT erihara anaimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT takuichinishimura anaimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT naokimitsugi aimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT naokimitsugi aimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT kokiijuin aimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT chiakioshiyama aimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT erihara aimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare AT takuichinishimura aimediatedframeworkforrecursivelearningtransformingindividualexperiencesintoorganizationalknowledgeandautonomousengagementinelderlycare |