Outputs (23)

PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub (2024)
Presentation / Conference Contribution
Bradley, S., & Ramezani, A. (2024, January). PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub. Presented at CEP '24: Computing Education Practice, Durham, United Kingdom

We explore the use of the PRIMM methodology (Predict, Run, Investigate, Modify, Make) within a higher education introductory programming setting, particularly focusing on the three first three steps. Formative prediction questions on the effects of c... Read More about PRIMM and Proper: Authentic Investigation in HE Introductory Programming with PeerWise and GitHub.

Modeling Women's Elective Choices in Computing (2023)
Presentation / Conference Contribution
Bradley, S., Parker, M. C., Altin, R., Barker, L., Hooshangi, S., Kunkeler, T., Lennon, R. G., McNeill, F., Minguillón, J., Parkinson, J., Peltsverger, S., & Sibia, N. (2023, July). Modeling Women's Elective Choices in Computing. Presented at ITiCSE 2023: Innovation and Technology in Computer Science Education, Turku Finland

Evidence-based strategies suggest ways to reduce the gender gap in computing. For example, elective classes are valuable in enabling students to choose in which directions to expand their computing knowledge in areas aligned with their interests. T... Read More about Modeling Women's Elective Choices in Computing.

Computing Education Research in the UK & Ireland (2023)
Book Chapter
Becker, B. A., Bradley, S., Maguire, J., Black, M., Crick, T., Saqr, M., …Quille, K. (2023). Computing Education Research in the UK & Ireland. In M. Apiola, S. López-Pernas, & M. Saqr (Eds.), Past, Present and Future of Computing Education Research (421-479). Springer Verlag. https://doi.org/10.1007/978-3-031-25336-2_19

In 1970, SIGCSE had five members from England, Scotland and Wales. By 1983 Ireland had a member, followed by Northern Ireland in 1995. Well before then researchers from these countries had contributed to the growing CER community. In 1998 the 3rd ACM... Read More about Computing Education Research in the UK & Ireland.

Large-scale mammal monitoring: the potential of a citizen science camera-trapping project in the United Kingdom (2022)
Journal Article
Hsing, P.-Y., Hill, R., Smith, G., Bradley, S., Green, S., Kent, V., Mason, S., Rees, J., Whittingham, M., Cokill, J., scientists, M. C., & Stephens, P. (2022). Large-scale mammal monitoring: the potential of a citizen science camera-trapping project in the United Kingdom. Ecological Solutions and Evidence, 3(4), Article e12180. https://doi.org/10.1002/2688-8319.12180

1. In light of global biodiversity loss, there is an increasing need for large-scale wildlife monitoring. This is difficult for mammals, since they can be elusive and nocturnal. In the United Kingdom (UK), there is a lack of systematic, widespread ma... Read More about Large-scale mammal monitoring: the potential of a citizen science camera-trapping project in the United Kingdom.

Narrowing and Stretching: Addressing the Challenge of Multi-track Programming (2022)
Presentation / Conference Contribution
Bradley, S., & Akrida, E. (2022, December). Narrowing and Stretching: Addressing the Challenge of Multi-track Programming. Presented at Computing Education Practice 2022, Durham, England

Given the different amount of programming experience that students have arriving at university, some universities have introduced alternative multiple streams to teach programming. This approach was exemplified by Harvey Mudd College, who successfull... Read More about Narrowing and Stretching: Addressing the Challenge of Multi-track Programming.

Evidence for Teaching Practices that Broaden Participation for Women in Computing (2021)
Presentation / Conference Contribution
Morrison, B. B., Quinn, B. A., Bradley, S., Buffardi, K., Harrington, B., Hu, H. H., Kallia, M., McNeill, F., Ola, O., Parker, M., Rosato, J., & Waite, J. (2021, December). Evidence for Teaching Practices that Broaden Participation for Women in Computing. Presented at Proceedings of the 2021 Working Group Reports on Innovation and Technology in Computer Science Education

Computing has, for many years, been one of the least demographically diverse STEM fields, particularly in terms of women's participation [12, 36]. The last decade has seen a proliferation of research exploring new teaching techniques and their effect... Read More about Evidence for Teaching Practices that Broaden Participation for Women in Computing.

ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference (2021)
Book Chapter
Gajbhiye, A., Al Moubayed, N., & Bradley, S. (2021). ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference. In I. Farkaš, P. Masulli, S. Otte, & S. Wermter (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2021 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V (460-472). Springer Verlag. https://doi.org/10.1007/978-3-030-86383-8_37

Neural language representation models such as BERT, pretrained on large-scale unstructured corpora lack explicit grounding to real-world commonsense knowledge and are often unable to remember facts required for reasoning and inference. Natural Langua... Read More about ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference.

Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models (2020)
Book Chapter
Gajbhiye, A., Winterbottom, T., Al Moubayed, N., & Bradley, S. (2020). Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models. In I. Farkaš, P. Masulli, & S. Wermter (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2020 (633-646). Springer Verlag. https://doi.org/10.1007/978-3-030-61609-0_50

We consider the task of incorporating real-world commonsense knowledge into deep Natural Language Inference (NLI) models. Existing external knowledge incorporation methods are limited to lexical-level knowledge and lack generalization across NLI mode... Read More about Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models.

Citizen scientists: school students conducting, contributing to and communicating ecological research – experiences of a school–university partnership (2020)
Journal Article
Hsing, P.-Y., Coghill, L., Ryder, J., Austin, M., Dooley, S., Ellison, A., Fenwick, C., Garland, M., Humphrey, P., Proudlock, H., Robson, A., Steer, C., Turnbull, L., Kent, V., Bradley, S., Hill, R., Ascroft, R., & Stephens, P. (2020). Citizen scientists: school students conducting, contributing to and communicating ecological research – experiences of a school–university partnership. School science review, 101(376), 67-74

Started in north-east England in 2015, MammalWeb aims to improve our knowledge of British mammals through the use of motion-sensing camera traps. Fundamental to the project is the involvement of local communities and individuals who act as citizen sc... Read More about Citizen scientists: school students conducting, contributing to and communicating ecological research – experiences of a school–university partnership.

Creative Assessment in Programming: Diversity and Divergence (2020)
Presentation / Conference Contribution
Bradley, S. (2020, January). Creative Assessment in Programming: Diversity and Divergence. Presented at Proceedings of the 4th Conference on Computing Education Practice 2020, Durham, England

Negative stereotypes persist in computing, and align poorly with research into the motivations of female students. In particular, female students are more inclined to want to work creatively and have a positive impact through their work. However prog... Read More about Creative Assessment in Programming: Diversity and Divergence.