Into the Labyrinth : A PhD Comprehensive Portfolio

Connectivism

Siemens (2018) sets out the principles of connectivism as a “response to a perceived increasing need to derive and express meaning, and gain and share knowledge. This is pro­moted through externalisation and the recognition and interpretation of patterns, which are shaped by complex networks” (Tschofen & Mackness, 2012, p. 125). Siemens (2018) states:

The act of learning … is one of creating an external network of nodes – where we connect and form information and knowledge sources. The learning happens in our heads in an internal network (neural). Learning networks can then be perceived as structures that we create in order to stay current and continually acquire, experience, create, and connect new knowledge (external). And learning networks can be perceived as structures that exist within our minds (internal) in connecting patterns of understanding (p. 29).

The four key principles of connectivism include autonomy, connectedness, diversity, and openness (Bell, 2011; Couros, 2010; Siemens, 2018; Tschofen & Mackness, 2012) as supported by emerging technologies that are shaping human cognition in the way we “create, store, and distribute knowledge” (Couros, 2010, p. 114).

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