Experiences of early assessment to teach functional programming
Journal Article
Chapman, P. (2025)
Experiences of early assessment to teach functional programming. Journal of Functional Programming, 35, Article e4. https://doi.org/10.1017/S0956796824000182
This paper reports on the experiences of using an early assessment intervention, specifically employing a Use-Modify-Create scaffold, to teach first-year undergraduate functio...
Hoop Diagrams: A Set Visualization Method
Presentation / Conference Contribution
Rodgers, P., Chapman, P., Blake, A., Nollenburg, M., Wallinger, M., & Dobler, A. (2024, September)
Hoop Diagrams: A Set Visualization Method. Presented at 14th International Conference on the Theory and Application of Diagrams, Munster, Germany
We introduce Hoop Diagrams, a new visualization technique for set data. Hoop Diagrams are a circular visualization with hoops representing sets and sectors representing set in...
Evaluating Colour in Concept Diagrams
Conference Proceeding
McGrath, S., Blake, A., Stapleton, G., Touloumis, A., Chapman, P., Jamnik, M., & Shams, Z. (2022)
Evaluating Colour in Concept Diagrams. In Diagrammatic Representation and Inference: 13th International Conference, Diagrams 2022, Rome, Italy, September 14–16, 2022, Proceedings (168-184). https://doi.org/10.1007/978-3-031-15146-0_14
This paper is the first to establish the impact of colour on users' ability to interpret the informational content of concept diagrams, a logic designed for ontology engineeri...
Minimising line segments in linear diagrams is NP-hard
Journal Article
Chapman, P., Sim, K., & Hao Chen, H. (2022)
Minimising line segments in linear diagrams is NP-hard. Journal of Computer Languages, 71, Article 101136. https://doi.org/10.1016/j.cola.2022.101136
Linear diagrams have been shown to be an effective method of representing set-based data. Moreover, a number of guidelines have been proven to improve the efficacy of linear d...
UMC-in-FP Dataset
Data
Chapman, P. UMC-in-FP Dataset. [Data]. https://doi.org/10.17869/enu.2023.3064076)
Chapman, P. UMC-in-FP Dataset. [Data]. https://doi.org/10.17869/enu.2023.3064076
This is the dataset which accompanies the paper "Experiences of Use-Modify-Create framework to teach functional programming"
Interactivity in Linear Diagrams
Conference Proceeding
Chapman, P. (2021)
Interactivity in Linear Diagrams. In Diagrammatic Representation and Inference: 12th International Conference, Diagrams 2021, Virtual, September 28–30, 2021, Proceedings (449-465). https://doi.org/10.1007/978-3-030-86062-2_47
Linear diagrams have been shown to be an effective method for representing set-based data. Moreover, design principles have been empirically developed that, when followed, imp...
Interactivity In Linear Diagrams Materials [dataset]
Dataset
Chapman, P. (2021)
Interactivity In Linear Diagrams Materials [dataset]. [Dataset]. https://doi.org/10.17869/enu.2021.2748492
This folder contains the:
- study materials
- participant responses
- amalgamated dataset
- analysis
that form part of the paper:
Chapman, Peter (2021) Interactivity in Line...
Drawing Algorithms For Linear Diagrams (Supplementary)
Dataset
Chapman, P., & Sim, K. (2021)
Drawing Algorithms For Linear Diagrams (Supplementary). [Dataset]. https://doi.org/10.17869/enu.2021.2748170
This folder contains the material to go with the article:
Peter Chapman, Kevin Sim, Huanghao Chen (2021) Drawing Algorithms for Linear Diagrams.
The code, the benchmark set ...
Diagrammatic Representation and Inference: 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings
Conference Proceeding
(2020)
Diagrammatic Representation and Inference: 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings. In A. Pietarinen, P. Chapman, L. Bosveld-de Smet, V. Giardino, J. Corter, & S. Linker (Eds.), https://doi.org/10.1007/978-3-030-54249-8
This book constitutes the refereed proceedings of the 11th International Conference on the Theory and Application of Diagrams, Diagrams 2020, held in Tallinn, Estonia, in Augu...
Antipattern comprehension dataset
Dataset
Hou, T., & Chapman, P. (2019)
Antipattern comprehension dataset. [Dataset]. https://doi.org/10.17869/enu.2019.2275783
Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In the paper associated with this da...