Networked Learning has become a methodologically diverse and interdisciplinary field, drawing on a wide range of approaches. Yet this richness is accompanied by fragmentation, making it difficult to compare, consolidate, and build on existing work. This limits our capacity to address the scale and complexity of contemporary networked learning environments.

We seek contributions that engage both established methodological traditions and emerging, hybrid, or innovative approaches in Networked Learning. The aim is not only to introduce new methods, but also to critically examine, consolidate, and extend the methodological foundations that shape the field. By bringing these into dialogue, the volume aims to capture the breadth of methodological work, strengthen its collective coherence, and open space for further innovation.

We are interested in work where methodology is not simply the background to a study, but the focus of inquiry itself. Contributions should make clear what methodological approach or tradition is being engaged, how it is positioned, and what it makes possible in the study of Networked Learning.

In particular, submissions should:

• describe the methodological approach or tradition being engaged
• articulate its underlying assumptions and positioning, including the ontological, epistemological, ethical, or reflexive orientations informing the work
• demonstrate what it enables researchers to see, do, or claim in Networked Learning
• reflect on its strengths, limitations, and implications for the field

This may involve reinterpreting established methods, developing new approaches, or critically examining the limits and assumptions of existing ones. Empirical illustrations are welcome, but should serve to illuminate the methodological contribution rather than stand as ends in themselves.

This volume does not aim to define a set of acceptable methodologies. Instead, we invite contributions that extend, unsettle, or rework what counts as methodology in Networked Learning in response to the particular demands of networked learning environments. We are interested in work that pushes at the boundaries of how methodology is understood and practised.

We invite extended abstracts of approximately 500 words outlining the proposed chapter, its methodological focus, and its relevance to Networked Learning. Abstracts should clearly indicate the methodological approach being engaged, the nature of the contribution, and the form the chapter will take.

Abstracts should be submitted to murat.oztok@abdn.ac.uk by 1 September 2026

Authors of accepted abstracts will be invited to submit full chapters of 5000 to 7000 words, including references. Full chapters will be expected by February 2027.

Submissions should be in Word format and include author name(s), affiliation(s), and contact details.

All chapters will undergo a review process in line with the expectations of the book series.