Evaluation of feedback in a learning environment to improve requirement analysis skills

• MOGI Tomohiro

  Faculty of Engineering, Tokyo Polytechnic University

• KOIKE Kento

  Graduate School of Engineering, Tokyo Polytechnic University

• TOMOTO Takahito

  Faculty of Engineering, Tokyo Polytechnic University

抄録

To well communicates the requirement in the context of system development, it is necessary skills to organize and structure the requirements. We defined these skills as requirements analysis skills. Accordingly, we considered that an ontology construction method called Activity-First Method: AFM is effective for improving the requirement analysis skills. AFM makes it possible to extracts each task from technical documentation and organizes the relationships between tasks. And then, AFM constructs a structure called the is-achieved-by hierarchy. the structure is organized by hierarchical task-flow and these inputs and outputs about the task. For improving requirements analysis skills, we aim to construct a learning environment that produces adaptive feedback to learners with AFM. The environment makes you can experience the construct of the is-achieved-by hierarchy through AFM. In this paper, we developed the feedback function for the learner's answer and the hint function to the learning environment. Result of evaluation, improvement of requirement analysis skills is suggested.

収録刊行物

• 人工知能学会全国大会論文集

  人工知能学会全国大会論文集 JSAI2020 (0), 1G4ES505-1G4ES505, 2020

  一般社団法人 人工知能学会

キーワード

• programming education
• requirements analysis
• interactive learning environment

詳細情報

• CRID: 1390285300165886080
• NII論文ID: 130007856603
• DOI: 10.11517/pjsai.jsai2020.0_1g4es505
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可