Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lovisa Sundin"'
Publikováno v:
Koli Calling
The rising demand for data wrangling skills in today’s global market poses new challenges for the programming education community. Non-majors often need to learn it quickly alongside their other subjects. Previous research suggests that subgoal lab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2a4fc18e699bafe49cb4f1b43876840
https://doi.org/10.1145/3488042.3488063
https://doi.org/10.1145/3488042.3488063
Autor:
Lovisa Sundin, Quintin Cutts
Publikováno v:
L@S
Students across disciplines are increasingly wrangling their data programmatically. Previous research indicates that graphical, instructor-provided subgoals could help novices solve data wrangling tasks, and that graphical thumbnails could make the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f548c764dfab931595686f252afaa568
https://doi.org/10.1145/3430895.3460155
https://doi.org/10.1145/3430895.3460155
Autor:
Lovisa Sundin
Publikováno v:
ICER
Programming is increasingly being taught in statistics modules across various departments, where the focus is on wrangling data in languages like Python and R. Graphical aids as applied to this domain is an empirically untried approach. My research i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3e821577bc00cf620ed5dc4faaabc0f
https://doi.org/10.1145/3372782.3407111
https://doi.org/10.1145/3372782.3407111
Publikováno v:
CHI
Wang, Z, Sundin, L, Murray-Rust, D & Bach, B 2020, Cheat Sheets for Data Visualization Techniques . in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems ., 144, ACM CHI Conference on Human Factors in Computing Systems, Honolulu, Hawaii, United States, 25/04/20 . https://doi.org/10.1145/3313831.3376271
Wang, Z, Sundin, L, Murray-Rust, D & Bach, B 2020, Cheat Sheets for Data Visualization Techniques . in CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems ., 144, ACM CHI Conference on Human Factors in Computing Systems, Honolulu, Hawaii, United States, 25/04/20 . https://doi.org/10.1145/3313831.3376271
This paper introduces the concept of ‘cheat sheets’ for datavisualization techniques, a set of concise graphical explanations and textual annotations inspired by infographics, data comics, and cheat sheets in other domains. Cheat sheets aim to ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1aff972dbb40c409ae40fd81a08cc4e
https://doi.org/10.1145/3313831.3376271
https://doi.org/10.1145/3313831.3376271
Autor:
Rajendra K. Raj, John Impagliazzo, Lovisa Sundin, Carol J. Romanowski, Allen Parrish, Casey C. Bennett, Andrew McGettrick, Karen C. Davis, Sherif G. Aly, Teresa Pereira
Publikováno v:
ITiCSE (Working Group Reports)
As data science is an evolving field, existing definitions reflect this uncertainty with overloaded terms and inconsistency. As a result of the field's fluidity, there is often a mismatch between what data-related programs teach, what employers expec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d9525845a1676297ac95faf320b84e
https://doi.org/10.1145/3344429.3372503
https://doi.org/10.1145/3344429.3372503
Autor:
Allen Parrish, Carol J. Romanowski, Andrew McGettrick, Sherif Aly Ahmed, Rajendra K. Raj, Karen C. Davis, Casey C. Bennett, Teresa Pereira, John Impagliazzo, Lovisa Sundin
Publikováno v:
ITiCSE
Over the past two decades, data science or data analytics degree programs have begun to emerge, reflecting the world's demand for data specialists to make sense of the vast amounts of collected data in the sciences, engineering, business, and other d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4064384b8dbd6ca15db91bcc17e1ffdb
https://doi.org/10.1145/3304221.3325533
https://doi.org/10.1145/3304221.3325533
Autor:
Lovisa Sundin, Quintin Cutts
Publikováno v:
UKICER
Undergraduates and postgraduates in science subjects are increasingly expected to conduct their data analyses using R, SQL and Python. This requires of instructors to develop resources that get students up and running quickly. This study presents and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9799cf173f667142520e68232cb1f273
https://doi.org/10.1145/3351287.3351293
https://doi.org/10.1145/3351287.3351293
Autor:
Lovisa Sundin
Publikováno v:
ICER
In my research, I will explore the potential of adapting the literature on algorithm visualization and visual analogy to the teaching of concepts and computations in introductory data science. Using computerized tutorials informed by the extensive li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48c7035d06bf60d7b0ab210c4a42e9c
https://doi.org/10.1145/3230977.3231026
https://doi.org/10.1145/3230977.3231026