Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus ERIC kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Coding Bootcamp Satisfaction: A Research Model and Survey Instrument

Title: Coding Bootcamp Satisfaction: A Research Model and Survey Instrument
Language: English
Authors: Lang, Guido; Sharp, Jason H.
Source: Information Systems Education Journal. Apr 2022 20(2):49-60.
Availability: Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail: publisher@isedj.org; Web site: http://isedj.org
Peer Reviewed: Y
Page Count: 12
Publication Date: 2022
Document Type: Journal Articles; Reports - Research; Tests/Questionnaires
Descriptors: Coding; Programming; Program Length; Student Satisfaction; Computer Science Education; Student Attitudes; Web Sites; Opinions
ISSN: 1545-679X
Abstract: This study aims to shed light on what students like and dislike in coding bootcamps. A qualitative content analysis of student reviews for coding bootcamps was conducted, resulting in a research model and survey instrument consisting of fourteen factors that are proposed to affect coding bootcamp satisfaction. The proposed satisfaction factors include quality of instructors, value of mentors, availability of TAs, access to support staff, provision of career services, rigor of curriculum, appropriateness of pedagogy, development of peer connections, conduciveness of atmosphere, use of appropriate technology, affordability, openness of communication, quality of prep course, and level of post-bootcamp support. Each of the proposed satisfaction factors is measured with three to ten Likert-style variables. The proposed research model and survey instrument can be used by administrators and educators in coding bootcamps and traditional universities alike to better understand and ultimately improve student satisfaction in computing education.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1342036
Database: ERIC