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AI-Driven and SOLO-Based Domain Knowledge Modeling in PARSAT AR Software

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Special Topics in Artificial Intelligence and Augmented Reality

Part of the book series: Cognitive Technologies ((COGTECH))

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Abstract

This chapter of this book centers on the enrichment of the domain knowledge model through the incorporation of the Structure of Observed Learning Outcomes (SOLO) taxonomy. It investigates the correlation between the domain knowledge model and the SOLO taxonomy, offering practical instances of learning tasks aligned with each SOLO level. The “Overview” section introduces the chapter’s purpose, emphasizing the significance of aligning learning activities with SOLO-defined cognitive levels. The “Domain Model” section outlines the model’s objectives and relevance in spatial ability training, highlighting specific knowledge areas targeted in the mobile training system. In the “Domain Knowledge alongside SOLO Taxonomy” section, the integration of the SOLO taxonomy into the domain model is explored. This section underscores the importance of gradually developing students’ spatial ability through scaffolded learning experiences. The “Examples of Learning Activities of Each SOLO Level” section furnishes detailed examples of learning activities spanning from prestructural to extended abstract SOLO levels. These examples illustrate the practical application of the SOLO taxonomy within the domain knowledge model. The “Summary” section concludes by summarizing key points, highlighting the integration of the SOLO taxonomy as a scaffolding mechanism to enhance spatial ability training. This chapter serves as the foundation for subsequent chapters, which delve into the implementation and evaluation of the mobile training system.

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Authors and Affiliations

  1. Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece

    Christos Papakostas, Christos Troussas & Cleo Sgouropoulou

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  1. Christos Papakostas
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  2. Christos Troussas
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  3. Cleo Sgouropoulou
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Papakostas, C., Troussas, C., Sgouropoulou, C. (2024). AI-Driven and SOLO-Based Domain Knowledge Modeling in PARSAT AR Software. In: Special Topics in Artificial Intelligence and Augmented Reality. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-031-52005-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-52005-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-52004-4

  • Online ISBN: 978-3-031-52005-1

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