Open AccessExploiting Metacognitive Networks Embedded in Narrative Focus Group Interviews Using NodeXL
Author(s) -
Divan Jagals,
Marthie Sophia Van der Walt
Publication year - 2016
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2016.2297
Subject(s) - metacognition , focus group , construct (python library) , narrative , qualitative research , psychology , mathematics education , qualitative property , grounded theory , pedagogy , computer science , cognition , sociology , social science , linguistics , philosophy , neuroscience , machine learning , anthropology , programming language
Development of metacognitive theory for changing pedagogy remains an essential research activity. A lack of sufficient clear-cut qualitative analysis procedures extracting embedded metacognitive constructs from qualitative data (e.g., narrative focus group interviews) can hinder development of theory. An approach is therefore needed to analyse qualitative metacognitive data exploiting embedded metacognitive constructs for theory development. In an undergraduate fourth-year mathematics education module, two groups of students (Group A: n = 6; Group B: n = 5) participated in a series of focus group interviews. Participants designed and refined mathematics lessons about the concept of place value. We identified metacognitive networks as an embedded construct in students’ metacognitive processes. Findings indicate that metacognitive networks of an individual, social and socially shared metacognitive nature are embedded in qualitative data, and can be exploited to develop new metacognitive theory. We offer a novel three-step process in this methodology paper to extract metacognitive networks using Microsoft Office, ATLAS.ti and NodeXL.