The development of effective tools and methods to capture and reuse learning designs has received significant attention in recent years due to the rise of the eLearning paradigm. A knowledge management system is proposed in this study, which can be used to support academic instructors in capturing and reusing learning designs (LDs) best practices. At the core of the system is an intelligent recommendation module that delivers contextualized LDs tailored to instructors’ specific needs. The architecture also incorporates multiple representation models, allowing instructors to systematically record their LDs strategies. A mix of quantitative and qualitative methods was employed to evaluate the proposed system with a group of academic instructors. The evaluation results show that participants had positive attitudes regarding the functionalities provided by the system. The findings of this study indicate that the proposed system could be adopted within academic institutions to improve capturing, storing, retrieving, sharing and reusing learning designs best practices among academics.

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A Knowledge Management System for Capturing and Reusing Best Practices in Learning Design: A Pilot Study

  • Mohammed Alsharidah,
  • Paul Newbury

摘要

The development of effective tools and methods to capture and reuse learning designs has received significant attention in recent years due to the rise of the eLearning paradigm. A knowledge management system is proposed in this study, which can be used to support academic instructors in capturing and reusing learning designs (LDs) best practices. At the core of the system is an intelligent recommendation module that delivers contextualized LDs tailored to instructors’ specific needs. The architecture also incorporates multiple representation models, allowing instructors to systematically record their LDs strategies. A mix of quantitative and qualitative methods was employed to evaluate the proposed system with a group of academic instructors. The evaluation results show that participants had positive attitudes regarding the functionalities provided by the system. The findings of this study indicate that the proposed system could be adopted within academic institutions to improve capturing, storing, retrieving, sharing and reusing learning designs best practices among academics.