Publication

Multi-level analysis strategy to make sense of concept maps

Beat Adrian Schwendimann
2014
Conference Papers

Abstract

Making sense of concept maps is an ongoing challenge for the concept mapping community. This paper introduces a multi-level analysis strategy by combining quantitative and qualitative methods to triangulate changes in students’ concept maps. Quantitative analysis includes overall, selected, and weighted propositional analysis using a knowledge integration rubric (Linn, 2000) as well as network analysis to describe changes in network density and prominence of selected concepts. Research suggests that scoring only selected propositions can be more sensitive to indicate conceptual change because it focuses on key concepts of the map. Qualitative analysis includes topographical analysis methods to describe the overall geometric structure of the map and an analysis of link types. This paper suggests that a combination of quantitative and qualitative analysis methods can capture different aspects of concept maps and provide a rich description of changes in students' understanding of complex topics.

Official source

https://infoscience.epfl.ch/entities/publication/6e6093df-3660-4976-aca1-ae4c9aa9328f

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Beat Adrian Schwendimann
2014
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6e6093df-3660-4976-aca1-ae4c9aa9328f

About this result

Related concepts (24)

Social network analysis

Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. Examples of social structures commonly visualized through social network analysis include social media networks, meme spread, information circulation, friendship and acquaintance networks, peer learner networks, business networks, knowledge networks, difficult working relationships, collaboration graphs, kinship, disease transmission, and sexual relationships.

Network science

Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology.

Qualitative research

Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation. This type of research typically involves in-depth interviews, focus groups, or observations in order to collect data that is rich in detail and context. Qualitative research is often used to explore complex phenomena or to gain insight into people's experiences and perspectives on a particular topic.

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