ロボット動作設計を対象にした状態遷移図による概念モデリング教育へのモデル駆動開発方法論導入の効果  [in Japanese] Effect of Model-Driven Development Method in Behavioral Modeling Education using Simple State Machine Diagrams for Robot Behavior Design  [in Japanese]

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Abstract

本研究では,モデル駆動開発方法論を初学者向け概念モデリング教育に導入し,学習者自身が対象物の振舞いを観察する事によるモデルを評価させている.これまでに,2 種類の方法でモデル駆動開発方法論による設計手法を導入してきた.一つは机上モデリングとモデル駆動開発方法論によるモデリングを分けて行う方法であり,もう一つは机上モデリングとモデル駆動開発方法論によるモデリングを合わせて行う方法である.本稿では,これら 2 種類の方法におけるモデル駆動開発方法論導入前後のモデル品質の差,およびモデルに含まれる誤りパタンの分析から,モデル駆動開発方法論導入の効果を考察し,状態遷移図による概念モデリング教育の展開方法を検討する.The purpose of this study is to explore the educational methodology about behavioral modeling for beginners. We have been introducing the model driven development (MDD) method in the modeling education for university freshmen. By using the MDD method, we expect our students to be able to evaluate their own model. In this study, we introduce two types of educational procedures with the MDD. In this paper, we analyze the difference quality of models and the error patterns included in students models. We also compare the models that are made before and after the MDD with these two procedures. Then the differences of two MDD procedures are discussed.

The purpose of this study is to explore the educational methodology about behavioral modeling for beginners. We have been introducing the model driven development (MDD) method in the modeling education for university freshmen. By using the MDD method, we expect our students to be able to evaluate their own model. In this study, we introduce two types of educational procedures with the MDD. In this paper, we analyze the difference quality of models and the error patterns included in students models. We also compare the models that are made before and after the MDD with these two procedures. Then the differences of two MDD procedures are discussed.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 2014-CE-126(9), 1-6, 2014-10-04

    Information Processing Society of Japan (IPSJ)

Codes

  • NII Article ID (NAID)
    110009831002
  • NII NACSIS-CAT ID (NCID)
    AN10096193
  • Text Lang
    JPN
  • Article Type
    Technical Report
  • Data Source
    NII-ELS  IPSJ 
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