A flow‐map method of representing cognitive structure based on respondents' narrative using science content

Abstract

Abstract Increasing interest in science education research has focused on ways of representing cognitive structure in graphical and quantitative terms. A method is presented for displaying the sequential and multirelational ideation of scientific narrative elicited from respondents. The flow map provides a figural representation of the flow of information, the points in the flow where multirelational and recurrent linkages are made, and the time required to retrieve and express the information at major intervals in the sequence and in total. In keeping with constructivist models of information analysis, the elicitation of responses requires minimal intervention by the interviewer, and flow‐map representation requires low inference for its construction, providing a convenient diagram of the sequential and multirelational thought patterns expressed by the respondent. The method is illustrated by analyzing interviews from students varying in academic achievement under two interview conditions that varied in emphasis on recall of multiple relationships. The illustrative data show that students of increasing academic ability produce flow maps of more complex patterns with more cross‐relational linkages. These kinds of linkages, on the whole, increase with increased emphasis in the interview on recall of relationships.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 72 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.