Lovisa Sundin

According to our database, Lovisa Sundin authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Graphical scaffolding for the learning of data wrangling APIs.

Lovisa Sundin

PhD thesis, 2022

2021

Introducing Data Wrangling using Graphical Subgoals - Findings from an e-Learning Study.

Lovisa Sundin, Quintin I. Cutts

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Visual recipes for slicing and dicing data: teaching data wrangling using subgoal graphics.

Lovisa Sundin, Nourhan Sakr, Juho Leinonen, Sherif G. Aly, Quintin I. Cutts

Proceedings of the Koli Calling '21: 21st Koli Calling International Conference on Computing Education Research, Joensuu, Finland, November 18, 2021

2020

Investigating the Utility of Graphics in Teaching Data Wrangling.

Lovisa Sundin

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Cheat Sheets for Data Visualization Techniques.

Zezhong Wang, Lovisa Sundin, Dave Murray-Rust, Benjamin Bach

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Experience report: thinkathon - countering an 'i got it working' mentality with pencil-and-paper exercises.

Quintin I. Cutts, Matthew Barr, Mireilla Bikanga Ada, Peter Donaldson, Steve Draper, Jack Parkinson, Jeremy Singer, Lovisa Sundin

Inroads, 2019

Is it feasible to teach query programming in three different languages in a single session?: A study on a pattern-oriented tutorial and cheat sheets.

Lovisa Sundin, Quintin I. Cutts

Proceedings of the 1st UK & Ireland Computing Education Research Conference, 2019

An Empirical Approach to Understanding Data Science and Engineering Education.

Rajendra K. Raj, Allen Parrish, John Impagliazzo, Carol J. Romanowski, Sherif G. Aly, Casey C. Bennett, Karen C. Davis, Andrew D. McGettrick, Teresa Susana Mendes Pereira, Lovisa Sundin

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2019

Data Science Education: Global Perspectives and Convergence.

Rajendra K. Raj, Allen Parrish, John Impagliazzo, Carol J. Romanowski, Sherif Aly Ahmed, Casey C. Bennett, Karen C. Davis, Andrew D. McGettrick, Teresa Susana Mendes Pereira, Lovisa Sundin

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

2018

Easing Learners into Data Science via Visualization of Concepts and Computations.

Lovisa Sundin

Proceedings of the 2018 ACM Conference on International Computing Education Research, 2018