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
AI Book Club : An Innovative Professional Development Mo..:
, In:
Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1
,
Lee, Irene
;
Zhang, Helen
;
Moore, Kate
... - p. 202-208 , 2022
Link:
https://dl.acm.org/doi/10.1145/3478431.3499318
RT T1 <cTitle>Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1</cTitle>: T1 <Title>AI Book Club : An Innovative Professional Development Model for AI Education</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3499318&Exemplar=1&LAN=DE A1 Lee, Irene A1 Zhang, Helen A1 Moore, Kate A1 Zhou, Xiaofei A1 Perret, Beatriz A1 Cheng, Yihong A1 Zheng, Ruiying A1 Pu, Grace PB ACM YR 2022 K1 ai education K1 ai literacy K1 book club K1 professional development K1 teacher preparation K1 Social and professional topics K1 Professional topics K1 Computing education K1 Adult education K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Model curricula K1 Machine learning approaches K1 Learning paradigms SP 202 OP 208 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3478431.3499318 DO https://dl.acm.org/doi/10.1145/3478431.3499318 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
