Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > Web Science Institute > CDT Web Science Innovation
Web Science Institute > CDT Web Science Innovation" and Year is 2025
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Number of items: 10.
Article
Evaluating the scoring system of an AI-integrated app to assess foreign language phonological decoding - James Turner, Alison Porter, Suzanne Graham, Travis Ralph-Donaldson, Heike Krüsemann, Pengchong Zhang and Kate Borthwick
Type: Article
| 2025
Assessing foreign language phonological decoding using an AI-integrated automatic speech processing app - James Turner, Alison Porter, Suzanne Graham, Travis James Francis Paul Ralph-Donaldson, Heike Krüsemann, Zhang Pengchong and Kate Borthwick
Type: Article
| 2025
| Item not available on this server.
Conference or Workshop Item
Socioscientific inquiry-based learning for climate change education: an expert teacher’s video-elicited reflections on instructional decision-making - Andri Christodoulou, Nora McIntyre, Ian Nicholas Coombs and Marcus Grace
Type: Conference or Workshop Item
| 2025
| Item not available on this server.
Investigating young learner foreign language reading and digital pedagogy: phonology and decoding - Alison Porter, Suzanne Graham, James Turner, Heike Krüsemann, Travis James Francis Paul Ralph-Donaldson, Zhang Pengchong and Kate Borthwick
Type: Conference or Workshop Item
| 2025
| Item not available on this server.
Monograph
Learning and assessment: young learner phonology and decoding using digital tools - Alison Porter, Suzanne Graham, James Turner, Travis James Francis Paul Ralph-Donaldson, Heike Krüsemann, Pengchong Zhang and Kate Borthwick
Type: Monograph
| 2025
Thesis
How technology can help visually impaired young adults participate in physical activity - Geane De Almeida Fontinele Zadra
Type: Thesis
| 2025
| University of Southampton
Exploring the operationalisation of music through Spotify’s manufactured user experiences - Allison Jane Noble
Type: Thesis
| 2025
| University of Southampton
The impact of paratext on readers of generative literature: Human evaluation of generated text - Lesia Tkacz
Type: Thesis
| 2025
| University of Southampton
Dataset
Type: Dataset
| 2025
| University of Southampton
Type: Dataset
| 2025
| University of Southampton