Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3790
Title: Computing Awareness and Computational Thinking in Sri Lankan Street Vendor Communities: A Pilot Study
Authors: Perera, S.A.K.M
Munasinghe, B.
Keywords: Algorithmic Thinking
Computational Thinking
Computer Science Social Topics
Societal Development
Computer Awareness
Issue Date: Oct-2024
Publisher: SLIIT, Faculty of Engineering
Series/Report no.: SICET 2024;219-226p.
Abstract: Although street market is a common and diverse form of informal economy in a country, the computing awareness and computational capacity of its contributing communities are largely understudied. This case study attempts to investigate the Computing awareness and Computational Thinking (CT) skills among street vendors in a Sri Lankan urban commercial area, using a mixed methods approach. It summarizes interviews, survey and observational findings about their digital literacy, digital awareness, problem solving skills and algorithmic thinking ability and the results are interpreted to understand their Computing awareness and CT skills. The findings reveal that Sri Lankan urban street vendors use digital devices, especially smartphones, for various purposes related to their vending activities, yet face concerns and challenges in accessing, affording, and trusting digital technologies. They seem to apply algorithmic thinking in planning, organizing, and optimizing their vending operations, and display problem-solving skills in coping with uncertainties, risks, and conflicts in their work environment, reflecting their resilience and adaptability. The study confirms that CT could be a valuable and relevant skill for street vendors and recognizing and nurturing these skills can enhance their socio-economic inclusion and resilience. The study also provides indicators for future research, such as exploring the gender and generational differences in both Computer awareness and Computational Thinking skills and evaluating the impact of educational interventions in those areas.
URI: https://rda.sliit.lk/handle/123456789/3790
ISSN: 2961 5011
Appears in Collections:Proceedings of the SLIIT International Conference on Engineering and Technology, 2024

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