EdTech and Rhizomatic Learning: Reimagining Knowledge, Curriculum, and Agency in Networked Education

 

Introduction

Educational technology (EdTech) has quickly changed how teaching and learning happen, making new ways to interact, access information, and create knowledge possible. Early EdTech often copied traditional, teacher-focused methods in digital form, but newer tools have allowed for diverse ways of thinking about knowledge. Rhizomatic learning, based on the ideas of Gilles Deleuze and Félix Guattari, is one such approach. It questions hierarchical and linear models of knowledge, suggesting that learning is non-linear, develops over time, and is shaped by networks of connections.

This essay looks closely at how EdTech and rhizomatic learning are connected. It argues that EdTech creates the conditions needed for rhizomatic learning, but there are still conflicts between the need for structure in institutions and the open, decentralized style of rhizomatic teaching. The essay covers theory, practical uses, benefits, and challenges, and suggests that combining structured and open approaches may be the best way forward.

Theoretical Foundations of Rhizomatic Learning

Rhizomatic learning comes from the idea of the “rhizome,” first described in A Thousand Plateaus by Deleuze and Guattari (1987). Unlike a tree, a rhizome has no central root or hierarchy. It spreads out in many directions, creating many connected paths. In education, this means knowledge is built through changing networks, not simply passed down.

Dave Cormier built on these ideas and made rhizomatic learning well-known in digital education, saying that “the community is the curriculum” (Cormier, 2008). In this approach, knowledge comes from how learners interact, not from set content. Learning depends on the situation and keeps changing.

Rhizomatic learning is like constructivist and connectivist theories. Lev Vygotsky focused on how knowledge is built socially, and George Siemens and Stephen Downes said that learning today happens through networks of people and information (Siemens, 2005; Downes, 2012). Rhizomatic learning goes further by rejecting even loose structures and fully supporting a decentralized, evolving approach.

 

EdTech as an Enabling Infrastructure

EdTech plays a critical role in facilitating rhizomatic learning by providing the technological infrastructure necessary for networked interaction. Digital platforms such as learning management systems (LMS), social media, and collaborative tools enable learners to connect, share, and co-construct knowledge across geographical boundaries.

EdTech fits well with rhizomatic ideas. Hyperlinks let learners jump between topics in any order, and platforms that allow participation help users create content and interact with each other. Massive Open Online Courses (MOOCs), especially early connectivist MOOCs (cMOOCs), tried out decentralized learning and focused on learner independence and building knowledge through networks (Siemens, 2005).

Innovative technologies like artificial intelligence and adaptive learning systems could make learning even more personal and decentralized. But they might also increase control through algorithms, which raises questions about whether they really support rhizomatic learning or bring back some hierarchy.

Key Characteristics of Rhizomatic Learning in EdTech Contexts

Non-linear Learning Pathways

Traditional curriculum usually follows a set order with clear steps and goals. Rhizomatic learning, on the other hand, lets learners choose their own path based on what interests them, what they already know, and what they need. EdTech helps by using hyperlinks, tags, and recommendations so learners can explore different routes.

Learner Autonomy and Agency

Rhizomatic learning focuses on giving learners control over how they learn. EdTech tools like open educational resources (OER) and collaboration platforms let learners decide what and how they study. This changes the teacher’s role from being the main authority to acting as a guide.

Networked Knowledge Construction

In rhizomatic learning, knowledge is spread out across networks. Online communities, forums, and social media let learners work together to make sense of ideas. This shows a wider move toward participation in digital spaces (Jenkins et al., 2009).

Emergent Curriculum

With rhizomatic learning, the curriculum changes as people interact. New topics come up based on what learners are interested in and how the community participates. This makes learning flexible but also creates challenges for designing courses and meeting institutional requirements.

Benefits of Integrating EdTech and Rhizomatic Learning

Alignment with Contemporary Knowledge Practices

In the digital age, knowledge is increasingly networked, interdisciplinary, and rapidly evolving. Rhizomatic learning reflects these realities, preparing learners to navigate complex information landscapes. EdTech enables access to diverse sources and perspectives, fostering critical thinking and adaptability.

Enhanced Engagement and Motivation

When learners have control, they are more motivated (Deci and Ryan, 2000). Rhizomatic learning lets people follow their interests, which can make them more engaged. EdTech platforms that allow for personalization and working together make this even stronger.

Development of Lifelong Learning Skills

Rhizomatic learning emphasises skills such as self-direction, collaboration, and critical evaluation of information. These competencies are essential in a knowledge economy characterised by uncertainty and change (OECD, 2019).

Global and Inclusive Learning Communities

EdTech enables the formation of global learning networks that connect individuals across cultural and geographical boundaries. This diversity enriches learning experiences and promotes intercultural understanding.

Challenges and Critiques

Lack of Structure and Guidance

One of the primary criticisms of rhizomatic learning is its potential lack of structure. Not all learners possess the skills required for self-directed learning, which can lead to confusion or disengagement. Kirschner, Sweller, and Clark (2006) argue that minimally guided instruction can be ineffective, particularly for novice learners.

Assessment and Accreditation

Traditional assessments depend on set outcomes, but these are hard to match with the changing nature of rhizomatic learning. It is challenging for institutions to measure learning that is personal and does not follow a straight path.

Digital Inequality

Not everyone has the same access to EdTech because of differences in technology, digital skills, and resources. These gaps can make existing educational inequalities worse and limit how inclusive rhizomatic learning can be.

Institutional Constraints

Schools and universities must follow rules, meet accreditation standards, and be accountable. These requirements can make it hard to use fully rhizomatic methods, creating tension between trying new things and following the rules.

Critiques of Conceptual Clarity

Some scholars argue that rhizomatic learning lacks practical applicability, functioning. Some researchers say rhizomatic learning is more of a metaphor than a practical teaching method (Mackness, Bell and Funes, 2016). Without clear instructions, teachers may find it hard to use in practice, the role of the educator shifts from knowledge transmitter to facilitator, curator, and co-learner. Educators guide learners in navigating networks, evaluating information, and building meaningful connections.

To do this job, teachers need new skills like digital literacy, managing communities, and designing flexible learning spaces. Training and support from institutions are important to help teachers adjust to these new roles. 

Towards Hybrid Models: Balancing Structure and Emergence

Given the challenges of fully rhizomatic learning, many scholars advocate hybrid models that combine structured and emergent approaches. These models provide foundational knowledge and guidance while allowing for exploration and networked learning.

For example, blended learning combines traditional teaching with group activities that use technology. Scaffolded learning paths can also help students build the skills they need to learn on their own.

Hybrid approaches understand that learners have unique needs and that mixing structure with flexibility is key for good learning.

Future Directions

The future of EdTech and rhizomatic learning will depend on innovative technology and changing educational goals. Artificial intelligence, for example, could personalise learning and help build knowledge through networks. But it is important to design these tools carefully, so they support rhizomatic ideas and do not bring back strict hierarchies.

There is also more focus on giving learners control, working together, and solving real-world problems in education today. Rhizomatic learning can help meet these goals, especially in informal and lifelong learning.

More research is needed to find the best ways to use rhizomatic learning, measure its results, and see how it affects distinct groups of learners. This research is important to see if this approach can work in formal education.

Conclusion

EdTech and rhizomatic learning together create a strong vision for the future of education that is networked, focused on learners, and ready for the digital age. EdTech gives the tools and support needed for rhizomatic learning, making new ways to connect, work together, and build knowledge possible.

Still, there are big challenges, such as structure, assessment, fairness, and institutional limits. Rhizomatic learning questions traditional education, but it may not be possible or wise to get rid of structure completely. Hybrid models that mix guidance and independence are the best solution.

In the end, bringing EdTech and rhizomatic learning together means thinking carefully about teaching methods, technology, and what learners need. By working through these challenges, teachers and schools can create more flexible, inclusive, and forward-looking learning environments.

References

Cormier, D. (2008). Rhizomatic education: Community as curriculum. Available at: http://davecormier.com (Accessed: 3 May 2026).

Deci, E.L. and Ryan, R.M. (2000) ‘The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior’, Psychological Inquiry, 11(4), pp. 227–268.

Deleuze, G. and Guattari, F. (1987) A Thousand Plateaus. Minneapolis: University of Minnesota Press.

Downes, S. (2012). Connectivism and connective knowledge. National Research Council Canada.

Jenkins, H., Purushotma, R., Weigel, M., Clinton, K., and Robison, A. (2009). Confronting the challenges of participatory culture. Cambridge, MA: MIT Press.

Kirschner, P.A., Sweller, J. and Clark, R.E. (2006) ‘Why minimal guidance during instruction does not work’, Educational Psychologist, 41(2), pp. 75–86.

Mackness, J., Bell, F. and Funes, M. (2016) ‘The rhizome: A problematic metaphor for teaching and learning in a MOOC’, Australasian Journal of Educational Technology, 32(1), pp. 30–42.

OECD (2019). The future of education and skills 2030. Paris: OECD Publishing.

Siemens, G. (2005) Connectivism: A learning theory for the digital age’, International Journal of Instructional Technology and Distance Learning, 2(1).