- 著者
- 木下 和也 安藤 元気 上間 雄大 Kazuya Kinoshita Genki Ando Yudai Uema
- 出版者
- 久留米大学情報教育センター
- 雑誌
- 久留米大学コンピュータジャーナル (ISSN:24322555)
- 巻号頁・発行日
- vol.35, pp.94-107, 2021-02
本稿では,2020年9月から10月にかけて3回にわたって実施された小学生向けプログラミングの遠隔授業について,プロジェクトの概要と成果を述べる。とくに,このプロジェクトを始めるに至った経緯,小学生向けのプログラミング教育の特徴と今回の授業内容,遠隔授業を実現するための技術的環境を中心に計画と実施後の反省点を述べる。授業は久留米大学御井キャンパスから沖縄県名護市立屋部小学校に向けて実施されたもので,授業内容は久留米大学の学生サークルteam.csvの学生が企画し,CoderDojo名護の運営者と屋部小学校教諭の協力により実施された。これらの内容を述べるとともに授業中の写真と教材を報告資料として提示する。
- 著者
- 八杉 克志 西名 大作 村川 三郎 金田一 清香 安藤 元気 石田 正樹
- 出版者
- 日本建築学会
- 雑誌
- 日本建築学会環境系論文集 (ISSN:13480685)
- 巻号頁・発行日
- vol.79, no.702, pp.715-723, 2014-08-30 (Released:2014-09-30)
- 参考文献数
- 12
- 被引用文献数
- 1 1
The purpose of this study is to clarify the operating conditions of two kinds of domestic electric appliances which are a washing machine and a clothes dryer installed in a bathroom. Based on the measurements of electric power consumption in the 100 electrified housing located in Hiroshima area, 39 washing machines and 35 clothing dryers were examined. The operating conditions of the appliances varied in the frequencies of operation, the operating hours and the starting time of operation. Especially, the conditions of the operation with drying function differed from those without drying function. The housing was classified into several clusters by the Cluster analysis based on the starting time of operation. Each cluster showed different tendencies on the operating conditions.
1 0 0 0 OA 戸建て住宅における給湯電力消費量に及ぼす影響要因の分析
- 著者
- 安藤 元気 西名 大作 村川 三郎 金田一 清香 石田 正樹
- 出版者
- 日本建築学会
- 雑誌
- 日本建築学会環境系論文集 (ISSN:13480685)
- 巻号頁・発行日
- vol.78, no.692, pp.799-807, 2013-10-30 (Released:2014-07-10)
- 参考文献数
- 26
- 被引用文献数
- 1 1 1
In this paper, the energy consumption of the electrified housing located in Hiroshima area was grasped, and the relationships between the energy consumption by hot water supply system and the housing attributes of residents were examined. To predict the annual and monthly energy consumption, the Quantity Theory Cluster I was applied. Based on the analysis, the factors affecting to the energy consumption were clarified, and the influence of energy consumption was compared among the factors.As for the predictive equations for energy consumption, the multiple correlation coefficients of annual value and monthly values were explained with 0.852 and 0.740-0.827 respectively. Also, it was clarified that “types of water heater” had major influence on energy consumption throughout a year, and “number of frequency for filling hot water into a bathtub in winter” and “age of the first child of the family” had influence in winter season.