Visualising and examining sequential actions as behavioural paths that can be interpreted as markers of complex behaviours
Autor: | Esther Care, Alvin Vista, Nafisa Awwal |
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Rok vydání: | 2017 |
Předmět: |
Process (engineering)
business.industry Computer science 05 social sciences 050401 social sciences methods 050301 education Cognition Machine learning computer.software_genre Visualization Task (project management) Human-Computer Interaction Exploratory behaviour 0504 sociology Arts and Humanities (miscellaneous) Human–computer interaction Multidisciplinary approach Situated Artificial intelligence business 0503 education computer General Psychology Network analysis |
Zdroj: | Computers in Human Behavior. 76:656-671 |
ISSN: | 0747-5632 |
DOI: | 10.1016/j.chb.2017.01.027 |
Popis: | Visualisation of pathways taken by students through problem solving environments provides the potential to identify patterns of exploratory behaviour that may relate to different levels of proficiency or different cognitive approaches. This is particularly the case when problems are situated in complex online environments and are programmed to generate large scale data for analysis. Using process data from an online collaborative problem solving task, we visualised behavioural paths of 607 pairs of students as directed graphs. The empirical paths were then examined using exploratory network analysis based on four main aspects of exploration (prominence, branches, clusters, and shortest paths). The primary purpose of such analysis is to detect sequences that are potentially relevant for establishing particular paths as meaningful markers of complex behaviours. This visualisation approach enabled us to capture all actual (as opposed to possible ) pathways from the data. Although there may be an optimal pathway through a complex task according to criteria such as efficiency or correct solution, the added human factors bring a dynamic to the activity that provides a richer environment for understanding students’ collaborative processes, both cognitive and social. The method adopted in this study provides a prototype for exploration of other complex skillsets. |
Databáze: | OpenAIRE |
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