Titlebook: Conceptual Structures for Discovering Knowledge; 20th International C Heather D. Pfeiffer,Dmitry I. Ignatov,Nagarjuna Ga Conference proceed

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Toward a Peircean Theory of Human Learning: Revealing the Misconception of ,s how we . think, if we want to keep improving our knowledge. Distinguishing between these two views, psychological (empirical) and pragmatic (normative), is crucial to our improvement of human learning methodology, especially as we develop interactive engagement methods for learning STEM concepts.

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Designing Learning to Research the Formal Concept Analysis of Transactional Dataging task for businesses. To research and discover the hidden semantics in transactional data, Sheffield Hallam University has incorporated Formal Concept Analysis (FCA) into two of its degree courses. We present a learning, teaching and assessment (LTA) method that integrates with this research. To

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Using Conceptual Structures in the Design of Computer-Based Assessment Softwarets. There are a number of research initiatives that investigate the use of interactive teaching methods and e-learning technologies for improving STEM education. This paper presents a conceptual model of programming exercises and discusses more generally how conceptual structures can be employed for the implementation of CBA tools.

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FCA-Based Models and a Prototype Data Analysis System for Crowdsourcing Platformsed system is based on several modern models and methods for analysing of object-attribute and unstructured data (texts) such as Formal Concept Analysis, multimodal clustering, association rule mining, and keyword and collocation extraction from texts.