The Educational Research Greenhouse
A space for cultivating thoughtful, human (de)centred approaches to AI in education.
Rather than providing ready-made answers, the Educational Research Greenhouse creates the conditions for ideas to emerge, be tested, challenged, and refined. It is a space where research, philosophy, ethics, and educational practice come together to foster critical inquiry into AI in education. The publications below, authored by the Greenhouse's lead researchers and collaborators, reflect this ongoing work, showcasing a collective effort to cultivate new thinking, challenge assumptions, and advance thoughtful, human (de)centred approaches to AI in education.
Missing in action: queer (y) ing the educational implications of data justice in an age of automation
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of ‘data justice’ in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and consider the implications of LGBTQI+ data being missing in action. As we look at the notion of ‘data justice’, we consider five critical socio-technical imaginaries with different kinds of data to think through the implications of technical democracy, data justice and post-automation. Finally, we consider the imaginary of citizenship when LGBTQI+ data is habitually missing in action from systematic power integrated into forms of governance. This paper positions ‘data’ not as a static ‘object or process’ but as a dynamic ecology
Comparative dialogues on reflexivity: what do pre-service teachers need to understand about 'objectivity' and 'evidence' in their emergent workplace during a post-truth age?
Reworlding Inclusion: Speculative Futures of STEM Education in the Age of Generative AI
This chapter combines theoretical analysis with empirical evidence to examine the challenges teachers face in an era shaped by digital technologies and post-truth narratives, arguing that Science and Technology Studies (STS) perspectives provide a valuable framework for addressing these issues. Rather than viewing educational technology (edtech) as a neutral instructional tool, this chapter contends that educators must critically examine its role in the commercialization of education and the ways it can reinforce bias through the collection and use of commercial data. The chapter emphasizes the political dimensions of data-driven educational technologies and advocates for a more critical approach to their adoption. By foregrounding the sociotechnical context of teaching, the chapter argues that pre-service teachers need to develop a reflexive understanding of concepts such as objectivity and evidence in order to navigate their increasingly technology-mediated professional environments.
This chapter argues that inclusion in STEM education must be reimagined in the age of Generative AI (GenAI). Drawing on speculative fabulation and feminist theories of epistemic justice, we examine how GenAI reshapes knowledge production, assessment, and representation, often reinforcing bias and exclusion. Through three speculative scenarios, we explore divergent futures of STEM learning and Initial Teacher Education (ITE), showing how AI can either entrench dominant norms or foster pluralistic, relational pedagogies. We propose that inclusion must shift from representational fixes to a radical, justice-oriented reworlding of education, where AI is governed transparently, designed with care, and co-created with those historically marginalised.
The invisible ink that marks our paths: lived experience perceptions of academic legitimacy
Despite institutional discourses of diversity and inclusion, the epistemic authority of neurodivergent scholars, queer educators, and care work in higher education remains filtered through hierarchies that privilege normative knowledge systems and quantifiable outputs. In this paper, we reflect as a neurodivergent educator, a queer scholar, and a mother navigating care work amid AI-driven academic reform, not through evaluation of any single university, but instead on how systemic exclusions have led us to enact a politics of resistance in our scholarly work. Using autobiografiction, an ethically moderated form of self-writing blending lived experience with fictionalisation, we generated three reflexive narratives in a 3-month collaboration guided by shared prompts on belonging, recognition, and legitimacy.
Educational Illusion and Collapse: Postdigital Classrooms as Places of Entangled Encounter(ing)
The purpose of this paper is to examine how automation in the ever-changing technological landscape is increasing integrated into, and has become a significant presence in, our personal lives. Through post qualitative inquiry, the authors provide a contemplation of automation and its effect on creativity, as a contemporary expression of dis/locations, the simulacrum, performative work and a toxic digital presence in socio-cultural-technical spaces. The authors discuss how we behave, contribute, explore, interact and communicate within and across automated digital platforms, has salience for understanding and questioning the ways that dominant discourses in the contemporary construction and enactment of subjectivity, creativity and agency are being modulated by the machine.
In this conceptual paper, we argue that the idea of future-making intensifies the totalising logic of quantified and commodified learning experiences. By situating our analysis within postdigital theory, we offer a novel contribution to understanding how digital infrastructures reshape pedagogical relations. Incorporating interdisciplinary theoretical conceptions of space, time, and structure, we emphasise the need for reimagining educational spaces beyond deterministic narratives of technological progress and warn against the danger of idolising the past by engaging the concept of hiraeth. Instead, we focus on education as a relational and co-constituted process with multiplicity and a longer historicity than its institutions. We conceive the postdigital as a euphemism for the collapse of purpose and meaning of education to emphasise links between materiality, digitalisation, capitalism, and pedagogy.
seedlings
Smart glasses, marketed as innovative learning tools, pose serious ethical and safety risks in schools, including covert surveillance and misuse. Arantes and Welsman urge regulation, transparency, and public discourse, warning against normalising wearable tech without consent safeguards—especially as it intersects with online misogyny, AI misuse, and influencer-driven promotion.
If a student can livestream a teacher’s response without their knowledge, what happens to trust in the classroom? As surveillance becomes wearable and invisible, are we sleepwalking into a future where education serves data markets over learning—and where safety is sacrificed in the name of innovation?
Arantes highlights the urgent threat of cyberabuse and AI-driven deepfakes targeting teachers. As legislation against doxing emerges, teachers remain vulnerable to viral attacks that devastate careers and mental health. Arantes calls for trauma-informed research, stronger protections, and systemic action to safeguard educators in the age of AI.
When a teacher’s face can be turned into viral abuse with a single click, what protections truly exist? In a world where algorithms amplify harm and deepfakes blur reality, can we afford to delay redefining teacher rights? If we don’t act now, who will be left to teach?
Arantes argues that smartphones should be banned in schools—not due to disruption, but to protect students from unchecked data collection. Drawing on ACCC, AHRC, and CSIRO reports, she warns that children cannot give informed consent and schools must act as data stewards. Restricting smartphones helps safeguard digital rights.
If schools ignore the hidden data economy behind student smartphone use, are they complicit in the exploitation of children’s privacy?
A seedling does not begin the story, it merely appears at a moment in the cycle. Like all living things, it emerges, unfurls, withers, and returns to the soil, not in linear time but in rhythm. To speak of a seedling is not to name a beginning, but to notice a becoming. In Deleuze and Guattari’s rhizome, knowledge spreads horizontally, unpredictably, refusing fixed origin or hierarchy. Haraway’s sympoiesis reminds us that nothing makes itself alone—ideas, like organisms, co-evolve in entangled ways, and Freire’s pedagogy teaches us that learning is not a product but a process, an act of becoming more fully human, always incomplete, always collective. These seedlings, whether original insights or repurposed talks, articles, and media, are offered not as answers but as invitations. They are fragments, provocations, starting-again points. They ask us to think with, to think otherwise. They are gestures of social impact.
The Australian government’s decision to include LGBTQIA+ data in the 2026 census marks a critical win for visibility and data justice. This reversal enables more equitable educational research and automated governance systems, helping ensure LGBTQIA+ communities are no longer sidelined in national policy, education, and digital infrastructures.
If data defines who counts, then what happens to those left out? In an age of automation, invisibility isn’t just erasure—it’s exclusion from the future. Whose needs are we programming into our systems, and whose realities are we still choosing to ignore?
In this chapter the presence of AI technologies in shaping contemporary childhood experiences is critically considered utilizing the concepts of Hiraeth (a deep, nostalgic longing for something lost or unattainable), Poiesis (creative making) and Mimesis (imitation). This paper engages with AI in three key educational encounters: adaptive learning platforms, AI-powered voice assistants, and critical public engagement. An investigation of AI-driven adaptive learning platforms, analyse how they personalize education while subtly conditioning both teachers and students to accept AI's authority without question. Next, explorations of the interactions between children and AI voice assistants, reveal how these technologies shape children's identities and communication styles, positioning AI as a respondent to their queries. Finally, an examination of the growing public awareness of AI's societal impacts, highlighting how critical engagement can lead to a more nuanced understanding of AI's role in daily life.
This paper focuses on our experiences as higher education workers and the changing work culture that has resulted in the move to online digital labour. Through a nomenclature of ‘postdigital presence’ we discuss how there has been a fundamental change in how we experience academic work, and narrate how it has (re)formed our working worlds. As future projections, we situate notions of the Slow University and Quiet Quitting as counter hegemonic tactics for policy makers to consider, by reflecting on three ‘interruptions’ around Remote and Isolated work, Job Demands, and Digital Fatigue. We conclude that there is a need to engage in critical questioning around digital labour as an emergent social, anthropological and technological phenomena, not only for improved academic well-being, but also due to the financial risk to institutions of academics being always ‘on standby’.