Developing learning programs and e-learning materials for data analysis practice on the theme of weather and food and drink

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K02894
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 09080:Science education-related
• Research Institution: International College of Technology, Kanazawa
• Principal Investigator: Imazawa Akio 国際高等専門学校, 国際理工学科, 客員教授 (20148141)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: データ分析学習 / 気象データ / 飲食データ

Outline of Final Research Achievements

The purpose of this study is to create a "practical" learning environment for data analysis centered on exercises using real data so that working adults can learn data analysis efficiently according to their own goals and time. To achieve this, we created an environment on a single computer that allows learners to simultaneously operate three things: 1) a database system that stores large amounts of actual meteorological data and allows it to be freely retrieved with simple operations, 2) a sample problem collection that includes tasks to experience analyzing that data and analysis programs for that purpose, and 3) a data analysis environment for carrying out actual analysis, allowing for efficient experience of various "practical" activities. Food and beverage data was also included in the analysis subjects.

Free Research Field

管理工学

Academic Significance and Societal Importance of the Research Achievements

データ分析の基礎的な理論や解析言語の基礎的な使い方を学んだ社会人が、時間的制約のある中でデータ分析の実践について実際のデータを用いて学べる環境を提示できた。またその中で、日本の実際の気象データや飲食データがデータ分析の実践学習に有効に利用できることが示せた。さらに、教材のデジタル化によって学習者の目的や持ち時間に合わせた多様な学習方法が可能となることも示せた。