Trend Extraction of Understanding Degree of Classes through Analyses of Questionnaires on Teaching Skills and the Uppermost Important Points

Autor:	Katsuaki Koike, Toshitaka Yamao, Kazuya Mori, Toshio Fujimi
Rok vydání:	2010
Předmět:	Class (computer programming) Teaching skills media_common.quotation_subject Attendance Mathematics education Questionnaire Regression analysis Bachelor Psychology Degree (music) Audiovisual Aids Simulation media_common
Zdroj:	Journal of JSEE. 58:52-58
ISSN:	1881-0764 1341-2167
DOI:	10.4307/jsee.58.4_52
Popis:	As an activity of one working group for the Good Practice at Kumamoto Univ., we proposed a questionnaire survey on understanding degree of the uppermost important points of each class in addition to the usual class-evaluation questionnaire. Each class lists three uppermost important points which are essential to understand the class contents. The understanding degree is classified into four levels ; full, most, insufficient, and not at all understandings. By analyzing the replies to 124 classes in the 2008 school year with a regression model, the understanding degrees of the bachelor students of the faculty of engineering were clarified to be affected meaningfully by degree of difficulty, effectiveness of audiovisual aids, self-study time, and attendance to class.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::83c3a76095e6b8a7cfe333ad8ed525f2 https://doi.org/10.4307/jsee.58.4_52 Zobrazit plný text záznamu