#5561. Computer-based guidance to support students’ revision of their science explanations

August 2026publication date
Proposal available till 21-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Education;
Computer Science (all);
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract5561.1 Contract5561.2 Contract5561.3 Contract5561.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
As they encounter new ideas, students need to make integrated revisions to their science explanations, a key aspect of science learning. This involves filling gaps, resolving inconsistencies with evidence, and strengthening connections among ideas. Rather than making integrated revisions, even after automated, adaptive guidance, students typically add disconnected ideas or fix mechanical errors. The knowledge integration framework, supported by new technologies including natural language processing, guided the design of the Annotator, a tool that models the revision process for students’ written explanations. This research investigates the added value of the Annotator compared to automated, adaptive guidance to support students to make integrated revisions to their science explanations and to strengthen knowledge integration.
Keywords:
+

Contacts :
0