Vlachidis, Andreas;
Mintz, Joseph;
Hao, Xinyuan;
Reategui, Eliseo;
Alexopoulou, Dora;
(2024)
Workshop Report: Text Analytics for Inclusive AI Education in the Humanities & Special Needs.
University College London (UCL): London, UK.
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Abstract
The workshop “Text Analytics for Inclusive AI Education in the Humanities & Special Needs”, held on the 28th of February 2024, at University College London, brought together educational technology providers, academic researchers, and secondary schools in a collaborative effort to explore the enhancement of language and literacy development in humanities subjects. Building upon the success of a prior workshop that explored partnerships for data sharing and educational AI applications to enhance writing skills, the February workshop invited talks by Sandra Leaton-Gray and Akira Borba Colen França on the topics of Digital Textual Analysis for AI-based Monitoring of Student Progress in the Humanities and Challenges in Writing Analytics and the Provision of Formative Feedback Considering Typical and Atypical Students, respectively. Participants engaged in structured and though-provoking discussions that connected diverse perspectives from academia, edtech companies, and secondary schools, all with the goal of advancing writing skills and broader language and literacy development.
Type: | Report |
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Title: | Workshop Report: Text Analytics for Inclusive AI Education in the Humanities & Special Needs |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.ucl.ac.uk/information-studies/news/202... |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of Arts and Humanities > Dept of Information Studies |
URI: | https://discovery.ucl.ac.uk/id/eprint/10191225 |
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