Item Infomation


Title: 
rDSA : an intelligent tool for data science assignments
Authors: 
Pierpaolo, Vittorini
Alessandra, Galassi
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
Tools supporting the teaching and learning of programming may help professors in correcting assignments and students in receiving immediate feedback, thus improving the solution before the final submission. This paper describes the rDSA tool, which was designed, developed, and evaluated to support students in completing assignments concerning (i) the execution of statistical analyses in the R language and (ii) commenting on the results in natural language.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s11042-022-14053-x
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7362
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