A Delphi Research Study for Developing a Customized Career Education Model for College Students

Author(s):  
Jung-Hee Kim ◽  
Ji-Eun Kim
2017 ◽  
Vol 2 (1) ◽  
pp. 1-21
Author(s):  
Misug Jin ◽  
Kangjoo Lee ◽  
Sanga Lee ◽  
Haryeong Kim

10.52616/JCCER.2017.2.1.1 https://scholar.dkyobobook.co.kr/searchExtDetail.laf?barcode=4050025730893&vendorGb=05&academyCd=20476


1987 ◽  
Vol 16 (1) ◽  
pp. 29-43 ◽  
Author(s):  
D. G. Dologite

This article discusses the results of an on-going research study to measure microcomputer literacy. College students are surveyed about their previously acquired microcomputer literacy before taking a microcomputer course. The objective of the survey is to determine if students have enough preparation for an enriched course. The study, the methodology, and a detailed comparative analysis of results from fifty-four student cases divided between the 1985 and 1986 school years are discussed. A microcomputer literacy index is developed to measure average student literacy, to compare literacy from one class year to another, and to rank students in order of literacy. Implications for broader applications of the method used are discussed.


Author(s):  
Kaye Shelton ◽  
Kathleen Adair Creghan

The Delphi research method was specifically designed as a forecasting tool for the Rand Corporation in the 1950s. However, in the last several decades, Delphi research has been more frequently used for facilitating group communication for decision making and planning. Because of the Delphi Method's increased use, more information is needed for researchers to understand how to best utilize the method to precisely complete a Delphi study with rigor. This chapter explores the Delphi Method's origin, provides an explanation of the methodology, acknowledges the types and variations in Delphi studies, discusses the advantages and limitations, and provides clear, step-by-step guidelines for employing a successful research study.


2018 ◽  
Vol 246 ◽  
pp. 03025
Author(s):  
Shi Yang ◽  
Lu Juan

With the continuous development of computer network and the popularity of internet applications, technology is constantly changing the traditional education model. The rise of the MOOC has set off a worldwide revolution in educational technology, which has been widely welcomed by university teachers and students. On the platforms of MOOC, the learning behaviours of college students have generated massive amounts of relevant data. Teachers can tap learning behaviours, master different types of learning styles to better control the learning steps and urge college students to better participate in all aspects of learning. Based on the MOOC platform, this paper classifies the students into excellent learners, middle learners, poor learners and non-learners by cluster analysis to teach students of different levels in different ways to optimize the MOOC teaching effect.


Sign in / Sign up

Export Citation Format

Share Document