The pedagogy of experience complexity for smart learning: considerations for designing urban digital citizen learning activities

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Abstract

The Pedagogy of Experience Complexity for Smart Learning (PECSL) is a four-tier model of considerations for the design and development of learning activities situated in real world hyperlocal locations, mediated by smart enough technologies. Learner experience is placed at the centre of learning design, focusing on the complex interrelated experiences that may be possible. A wider awareness of types of learning may enhance potential for gaining value for learners and offer more flexibility for instructors or others. Learning is considered as any potential object of vital interest for the learner, and may include making connections with others, dialogic space expansion between learners and wider relevance of topic or location as much as any intended learning outcome. Taking inspiration from digital artefact user centred design, the PECSL adopts a position of flexible layers of considerations that impact stages of design for complex smart learning activities. Each tier being interrelated to the others, these iteratively adapting as a result of decisions being made throughout the design and development process. Categories of learner experience variation derived from a phenomenographic study of smart learning journeys inform the foundation of the PECSL, providing concepts of experience relevance structures leading to related pedagogies, further pedagogical relevance considerations and deeper epistemological reflections. Acknowledging significance of the context, process and content of learning in these activities, considerations expand to enable pragmatic support for much of value towards effective learning. This paper seeks to provide a means for learners to learn from each other as much as any specified learning goals or assessment.

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APA

Lister, P. (2021). The pedagogy of experience complexity for smart learning: considerations for designing urban digital citizen learning activities. Smart Learning Environments, 8(1). https://doi.org/10.1186/s40561-021-00154-x

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