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  1. Modes of Knowing and Modes of Coming to Know Knowledge Creation and Co-Construction as Socio-Epistemological Engineering in Educational Processes.M. F. Peschl - 2006 - Constructivist Foundations 1 (3):111-123.
    Purpose: In the educational field a lack of focus on the process of arriving at a level of profound understanding of a phenomenon can be observed. While classical approaches in education focus on "downloading," repeating, or sometimes optimizing relatively stable chunks of knowledge (both facts and procedural knowledge), this paper proposes to shift the center of attention towards a more dynamic and constructivist perspective: learning as a process of individual and collective knowledge creation and knowledge construction. The goal of this (...)
     
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  2. Learning How to Innovate as a Socio-epistemological Process of Co-creation: Towards a Constructivist Teaching Strategy for Innovation.M. F. Peschl, G. Bottaro, M. Hartner-Tiefenthaler & K. Rötzer - 2014 - Constructivist Foundations 9 (3):421-433.
    Context: Radical constructivism (RC) is seen as a fruitful way to teach innovation, as Ernst von Glasersfeld’s concepts of knowing, learning, and teaching provide an epistemological framework fostering processes of generating an autonomous conceptual understanding. Problem: Classical educational approaches do not meet the requirements for teaching and learning innovation because they mostly aim at students’ competent performance, not at students’ understanding and developing their creative capabilities. Method: Analysis of theoretical principles from the constructivist framework and how they can be used (...)
     
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  3. Authors' Response: Challenges in Studying and Teaching Innovation: Between Theory and Practice.M. F. Peschl, G. Bottaro, M. Hartner-Tiefenthaler & K. Rötzer - 2014 - Constructivist Foundations 9 (3):440-446.
    Upshot: This response focuses on the following issues, which summarize the points made by the commentaries: (i) further reflection on and details of the methodological framework that was applied to studying the proposed design of our innovation course, (ii) the issue of generalizability of the findings for teaching innovation (in this context the question of generic or transferable skills will become central), and (iii) finally, more precise explanation of what we mean by “learning from the future as it emerges.”.
     
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    Semiotic aspects of neurally based representation of knowledge.M. F. Peschl - 1993 - In René J. Jorna, Barend van Heusden & Roland Posner (eds.), Signs, Search and Communication: Semiotic Aspects of Artificial Intelligence. De Gruyter. pp. 90-110.
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