Quantification of Keyword Transmission in Corporate Training Programs
-
- UCHIDA Shinji
- Japan Industrial Safety and Health Association
-
- KURISHIMA Kazuhiro
- Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
-
- KANEKO Shuji
- Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
-
- ABE Kenji
- Japan Industrial Safety and Health Association Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
-
- HONDA Sumihisa
- Graduate School of Biomedical Science, Nagasaki University
-
- JAHNG Doosub
- Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology
Bibliographic Information
- Other Title
-
- 企業研修におけるキーワード伝達状況の定量化
- キギョウ ケンシュウ ニ オケル キーワード デンタツ ジョウキョウ ノ テイリョウカ
Search this article
Abstract
<p>Training follow-up has been recognized as a vital component of effective corporate trainings. Proper implementation of follow-up require the trainers to determine what contents had been transmitted to the participants during the training. The purpose of this study was to quantify the transmission situation of the keywords that were utilized during the corporate training program. Subjects were recruited from two mental health-related trainings. The trainings were divided into one for managerial class and other for rank-and-file employees. Key Words Meeting (KWM) was used to assess the transmission situation of the keywords. The training contents were presented as plural sets of main keyword and sub keywords. Two indexes of transmission situations were proposed: 1) proportion of each keyword retained by participants attending the program and 2) proportion of keywords retained by individual participant. The results of this study may help trainers implement appropriate follow-up and assist with the evaluation of training programs. </p>
Journal
-
- Journal of Biomedical Fuzzy Systems Association
-
Journal of Biomedical Fuzzy Systems Association 19 (1), 81-88, 2017
Biomedical Fuzzy Systems Association
- Tweet
Keywords
Details
-
- CRID
- 1390004951537796096
-
- NII Article ID
- 130007935666
-
- NII Book ID
- AA1145146X
-
- ISSN
- 24242578
- 13451537
-
- NDL BIB ID
- 028363866
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- NDL
- CiNii Articles
-
- Abstract License Flag
- Disallowed