The iTELL (intelligent Texts for Enhanced Life-long Learning) framework ingests static texts on any content do-main using a custom content preparation system that guides content editors through the process of formatting the text and reviewing AI-augmented content prior to publication. Text content in iTELL is augmented with keyphrase generation (used for writing feedback) and short answer question generation. The resulting webapp includes a number of interactive features, including annotation and highlighting, summary writing with automatic scoring, in-browser exercises, the short constructed response items, chat abilities, and re-reading with self-explanation dialogs.
How to Get Involved:
To collaborate with iTELL, please contact Scott Crossley
[LabPeople tag=”iTELL PI” style=”grid”]
[LabPeople tag=”iTELL Personnel” style=”grid”]
Funding Sources
