Developing and Comparing Indices to Evaluate Community Knowledge Building in an Educational Research Course
Metadata
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MDPI
Materia
Knowledge Building Educational research teaching Assessment Collective responsibility Lorenz curve Gini index Technology Knowledge Forum
Date
2022-08-25Referencia bibliográfica
Gutiérrez-Braojos, C... [et al.]. Developing and Comparing Indices to Evaluate Community Knowledge Building in an Educational Research Course. Sustainability 2022, 14, 10603. [https://doi.org/10.3390/su141710603]
Sponsorship
Ministry of Science and Innovation-State Research Agency PID 2020-116872-RA-100Abstract
This paper implements a novel approach to analyzing the degree of Collective Cognitive
Responsibility (CCR) in a Knowledge Building community, based on socioeconomic and scientometric
measures. After engaging in Knowledge Forum (KF) discussions for one semester, 36 students
identified impactful ideas in their portfolios, which were then used to develop their impact scores.
These scores were then transformed and plotted along the Lorenz Curve and the Gini coefficient
to visualize the degree of equidistribution of recognition in the community and, by extension, the
degree of collective responsibility shared by members of the community. Additionally, students were
classified into member roles based on the impact of their contributions, and we explored the flow of
member roles across several discussion topics, based on Price’s model of scientific production. Our
results show convergence between peers’ and teachers’ ratings of impactful contributions, which both
point to medium levels of collective responsibility in the community. In short, on the one hand, this
procedure shows its sensitivity to detect communities that could not comply with the CCR principle.
On the other hand, we discuss the necessity of reflective evaluation to address the pedagogical
challenge of fostering collective responsibility for knowledge advancement and empowering novel
students to take charge of their knowledge work at the highest levels.