TY  - CONF
A1  - Kim, Hee Eun
A1  - Zicari, Roberto V.
A1  - Tolle, Karsten
A1  - Manieri, Andrea
T1  - Tailored data science education using gamification
T2  - Proceedings : 8th IEEE international conference on cloud computing technology and science ; CloudCom 2016, Los Alamitos, California ; Washington ; Tokyo : IEEE Computer Society Conference Publishing Services (CPS), 2016
N2  - Interest to become a data scientist or related professions in data science domain is rapidly growing. To meet such a demand, we propose a novel educational service that aims to provide tailored learning paths for data science. Our target user is one who aims to be an expert in data science. Our approach is to analyze the background of the practitioner and match the learning units. A critical feature is that we use gamification to reinforce the practitioner engagement. We believe that our work provides a practical guideline for those who want to learn data science.
KW  - data science education
KW  - tailored learning path
KW  - learning goal
KW  - learning unit
KW  - EDISON competence framework
KW  - knowledge area
KW  - data crowdsourcing
KW  - gamification
KW  - Data science
KW  - Crowdsourcing
KW  - Europe
KW  - Knowledge engineering
KW  - Databases
KW  - Training
Y1  - 2017
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/43903
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-439031
UR  - https://zenodo.org/record/546091
SN  - 978-1-5090-1445-3
SN  - 2330-2186
N1  - License (for files): Creative Commons Attribution 4.0
SP  - 627
EP  - 632
PB  - IEEE Computer Society Conference Publishing Services (CPS)
CY  - Los Alamitos, California ; Washington ; Tokyo
ER  -