z-logo
open-access-imgOpen Access
Analysis and classification of university students’ educational skills using a computer-assisted web-interviewing questionnaire
Author(s) -
Tadanari Taniguchi,
Yukiko Maruyama,
Daisaku Kurita,
Makoto Tanaka
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.07.250
Subject(s) - computer science , interview , set (abstract data type) , social skills , key (lock) , interpersonal communication , medical education , multimedia , psychology , medicine , social psychology , computer security , political science , law , psychotherapist , programming language
In this study, we seek to develop an analytic method to set key educational skills (ESs), using a student self-assessment questionnaire. It is difficult to set key academic skills for classes since few systematic methods are available. A survey featuring 24 ESs was conducted in three ICT classes in our university using a computer-assisted web-interviewing (CAWI) technique. The questionnaire results were analyzed through Students’ T-test and multidimensional scaling (MDS). An MDS helps to visualize the similarities between these ESs. We demonstrated that the 24 skills can be classified into the following three skills: basic academic skills, practical academic skills, and interpersonal skills.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom