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User Experience Evaluation of a Computational Thinking-Enhanced Problem-Solving Tool: Findings and Next Steps

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Social Computing and Social Media: Design, User Experience and Impact (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13315))

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Abstract

IT-related works are highly demanded. However, this discipline does not have sufficient and accurate dissemination. In this context, it has missed the application of computational thinking abilities, such as the development of logical reasoning, algorithmic thinking, and problem-solving with creativity. A common issue is the capability of these tools to provide a design environment, where teachers and instructors can design and deploy more contextualized and curriculum-aligned activities. Problock is proposed as a tool to develop computational thinking, in the context of learning based on problem-solving. The resolution of these exercises can be carried out using the basic concepts related to computer science such as abstraction, division of a problem into sub-problems, algorithmic schematization, and programming as a tool to concretize everything in the final solution. An evaluation of the Problock was carried out with 15 high school students to measure the degree of usability. User experiences indicate positive and acceptable evaluations in terms of usefulness, ease of use, ease of learning, and satisfaction.

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Authors and Affiliations

  1. Facultad de Ingeniería, Universidad Andres Bello, Quillota 980, Viña del Mar, Chile

    Juan Felipe Calderon

  2. Facultad de Ciencias Empresariales, Departamento de Ciencias de la Computación y Tecnologías de la Información, Universidad del Bío-Bío, Chillán, Chile

    Luis A. Rojas

  3. The Stella Way, 17 Enford Street, Hillcrest, QLD, Australia

    Katrina Sorbello

  4. Dirección de Investigación y Postgrado, Universidad de Aconcagua, Santiago, Chile

    Nibaldo Acero

Authors
  1. Juan Felipe Calderon
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  2. Luis A. Rojas
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  3. Katrina Sorbello
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  4. Nibaldo Acero
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Corresponding author

Correspondence to Luis A. Rojas .

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Editors and Affiliations

  1. Towson University, Towson, MD, USA

    Gabriele Meiselwitz

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Calderon, J.F., Rojas, L.A., Sorbello, K., Acero, N. (2022). User Experience Evaluation of a Computational Thinking-Enhanced Problem-Solving Tool: Findings and Next Steps. In: Meiselwitz, G. (eds) Social Computing and Social Media: Design, User Experience and Impact. HCII 2022. Lecture Notes in Computer Science, vol 13315. Springer, Cham. https://doi.org/10.1007/978-3-031-05061-9_2

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  • DOI: https://doi.org/10.1007/978-3-031-05061-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05060-2

  • Online ISBN: 978-3-031-05061-9

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