I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
The effectiveness of embedded values analysis modules in Co..:
Kopec, Matthew
;
Magnani, Meica
;
Ricks, Vance
...
Big Data & Society. 10 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1177/20539517231176230
RT Journal T1
The effectiveness of embedded values analysis modules in Computer Science education: An empirical study
UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_20539517231176230&Exemplar=1&LAN=DE A1 Kopec, Matthew A1 Magnani, Meica A1 Ricks, Vance A1 Torosyan, Roben A1 Basl, John A1 Miklaucic, Nicholas A1 Muzny, Felix A1 Sandler, Ronald A1 Wilson, Christo A1 Wisniewski-Jensen, Adam A1 Lundgren, Cora A1 Baylon, Ryan A1 Mills, Kevin A1 Wells, Mark PB SAGE Publications YR 2023 SN 2053-9517 SN 2053-9517 JF Big Data & Society VO 10 IS 1 LK http://dx.doi.org/https://doi.org/10.1177/20539517231176230 DO https://doi.org/10.1177/20539517231176230 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)