書誌事項
- タイトル別名
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- A Basic Study on Establishing Connected Data Systems for Improving Classroom Instruction
- ジュギョウ カイゼン ノ タメ ノ Connected Data System ノ コウチク ニ ムケタ キソ ケンキュウ
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抄録
Student feedback in the form of teacher and course evaluations are collected at the end of every term and stored on the university data banks. While this system seems convenient, it is also problematic particularly if teachers want to improve on specific aspects of their classroom instruction, but are easily discouraged due to the large amounts of data that need to be selected and analyzed. Therefore, we suggest an alternative approach of collecting student data during class time. This research explores the kind of data instructors should collect from students during class time and how to use this data to better understand their attitude and behavior towards a particular class. This research consists of 4 stages: 1) Executing an easy-to-use student survey focusing on: the student's purpose for entering the university, their feelings about the university and their vision for the future. 2) Using the answers from the survey during class time to encourage student participation. 3) Executing the student's evaluation of a class and analyzing any relevance between the answers on the survey and the evaluations. 4) Using the data from 2) and 3) to improve classroom teaching. The data collection during the appointed class times occurred over a 2-year period and the results showed a strong correlation between increased positivity in student attitude and behavior, and improvements in the teaching techniques that were implemented. In closing, we propose establishing a system of collecting and connecting small amounts of data from classrooms in order to facilitate improvements in the quality and delivery of our instruction.
収録刊行物
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- 長崎国際大学論叢
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長崎国際大学論叢 17 39-50, 2017-03
長崎国際大学
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詳細情報 詳細情報について
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- CRID
- 1050001338221605248
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- NII論文ID
- 120006328627
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- NII書誌ID
- AA11766493
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- ISSN
- 13464094
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- NDL書誌ID
- 028188501
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- NDL
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