An integrated approach for knowledge extraction and analysis in collaborative knowledge construction
Ning Zhang; Fan Ouyang · 2023 · International Journal of Educational Technology in Higher Education
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Abstract Collaborative knowledge construction (CKC) involved students’ sharing of information, improvement of ideas, and construction of collective knowledge. In this process, knowledge extraction and analysis can provide valuable insights into students’ knowledge capacities, depths, and levels in order to improve the CKC quality. However, existing studies tended to extract and analyze knowledge from a single perspective (e.g., the number of certain knowledge types and knowledge structures), which failed to demonstrate the complexity and dynamics of knowledge construction and advancement. To f
Abstract by Ning Zhang; Fan Ouyang, International Journal of Educational Technology in Higher Education (2023) — licensed CC BY 4.0.
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Metadata source: DOAJ · DOI 10.1186/s41239-023-00414-5