2024-03-19T14:37:33Zhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_oaipmhoai:ipsj.ixsq.nii.ac.jp:001904432023-04-27T10:00:04Z01164:01384:09436:09522
属性の適切さに注目した概念データモデル自動評価手法An Automated Evaluation Method for Conceptual Data Models Focusing on Appropriateness of Attributesjpnhttp://id.nii.ac.jp/1001/00190355/Technical Reporthttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_action_common_download&item_id=190443&item_no=1&attribute_id=1&file_no=1Copyright (c) 2018 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG.東京農工大学大学院工学府日本工業大学先進工学部東京学芸大学教育学部東京農工大学大学院工学府東京農工大学大学院工学府田中, 昂文橋浦, 弘明櫨山, 淳雄毛利, 考佑金子, 敬一データベース設計教育において概念データモデリング (CDM) の能力育成は重要である.多人数の学習者対象の CDM 演習において,教授者が学習者のモデルを評価,分析するためには,モデルの自動評価手法が必要である.本論文では,学習者のモデルにおける概念の存在判定時に概念名と属性の組みを両方考慮するモデル自動評価手法を提案した.また,提案手法を実際の CDM 演習データに適用し,提案手法の有効性を示した.さらに,提案手法によるモデルの評価結果を分析し,(1) 学習者の概念名正解率,(2) 概念名正解率と属性正解率間の無相関,(3) モデル全体の合計得点率と属性正解率間の強い正の相関を示した.It is important for database design education to teach skills of conceptual data modeling (CDM) to learners. In CDM exercises with many learners, it is required that teacher can evaluate learners' models in an automated way. This study proposes an automated evaluation method for CDM considering the appropriateness of attributes when it determines existence of concepts in learners' models. We applied our method to data collected in CDM exercises in a university. As a result, we verified the effectiveness of our method. In addition, we found that (1) learners' average score rate of names of concepts (ASNC), (2) no correlation between ASNC and the learners' average score rate of attributes. (3) a strong correlation between ASNC and the learners' average score rate of whole elements in an expected answer.AN10112981研究報告ソフトウェア工学(SE)2018-SE-19930162018-07-112188-88252018-07-09