Designing GenAI-Supported Adaptive Hypermedia for Classical Chinese Poetry Learning: Expert-Informed Design ConsiderationsLearning classical Chinese poetry requires readers to connect lines, imagery, the poet's biography, place, and historical background.
doi
10.1145/3800935.3830852
isbn
979-8-4007-2564-7
name
Designing GenAI-Supported Adaptive Hypermedia for Classical Chinese Poetry Learning: Expert-Informed Design Considerations
source
html
acm_url
https://dl.acm.org/doi/10.1145/3800935.3830852
authors
Wenjun Liu, Zhenhao Tian, Dake Liu, Charlie Hargood
doi_url
https://doi.org/10.1145/3800935.3830852
license
CC BY 4.0
summary
Learning classical Chinese poetry requires readers to connect lines, imagery, the poet's biography, place, and historical background.
keywords
Generative AI; Adaptive Hypermedia; Classical Chinese Poetry; Hypermedia Design; Human-centred AI
published
2026-09-14
conference
HT '26: 37th ACM Conference on Hypertext, London, United Kingdom, September 14–18, 2026
acm_html_url
https://dl.acm.org/doi/fullHtml/10.1145/3800935.3830852
ccs_concepts
CCS Concepts: • Human-centered computing ; • Human-centered computing → Human computer interaction (HCI) ; • Applied computing → Interactive learning environments ;
displayAuthor
Wenjun Liu, Zhenhao Tian, Dake Liu, Charlie Hargood
proceedings_url
https://dl.acm.org/doi/proceedings/10.1145/3800935
displayPublishTime
2026-09-14
acm_reference_format
ACM Reference Format: Wenjun Liu, Zhenhao Tian, Dake Liu, and Charlie Hargood. 2026. Designing GenAI-Supported Adaptive Hypermedia for Classical Chinese Poetry Learning: Expert-Informed Design Considerations. In 37th ACM Conference on Hypertext (HT '26), September 14--18, 2026, London, United Kingdom. ACM, New York, NY, USA 9 Pages. https://doi.org/10.1145/3800935.3830852