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ASCILITE Publications

ASCILITE Publications (ISSN 2653-665X) is a peer-reviewed, fully open access platform dedicated to advancing research and practice in Technology-Enhanced Learning (TEL) in Australasia and internationally. The publication aims to broaden the evidence base for TEL by supporting both traditional and non-traditional scholarly outputs that document innovation, analyse emerging practices, and strengthen the theoretical, pedagogical, and organisational foundations of technology-supported education.

Aims and Scope

1. Advance knowledge in Technology-Enhanced Learning
Research may address digital learning design, learning analytics, online and blended learning, AI-enabled learning environments, assessment and feedback technologies, student experience, or organisational and sector-level approaches to digital transformation.

2. Present rigorous analysis of practice
The platform supports high-quality practice-based scholarship, case studies, design-based research, reflective analyses, and evaluative work that provide transferable insights for educators and learning practitioners.

3. Support methodological and epistemic diversity
Submissions may employ quantitative, qualitative, mixed-methods, theoretical, design-based, experimental, or computational approaches, provided they offer a clear contribution to the TEL knowledge base.

4. Increase accessibility and reach of sector knowledge
By publishing beyond conventional journal formats, ASCILITE Publications aims to elevate impactful work that may otherwise remain within institutional or conference contexts, expanding the global dissemination of TEL innovation and evidence.

5. Foster an inclusive scholarly community
The publication encourages participation from early-career researchers, doctoral and masters candidates, teaching-focused academics, learning designers, and professional staff, reflecting the multidisciplinary nature of Tel practice and research.

Announcements

  1. Secure online assessments: Strategies to mitigate generative AI risks in higher education

    Joane Jonathan, Chris Walsh

    The rapid rise of generative artificial intelligence (AI) tools has intensified universities’ long-standing challenge of ensuring that student work is authentic, an issue that is particularly acute in fully online programs. In 2024, new Tertiary Education Quality and Standards Agency (TEQSA) guidelines prompted our university to revise its Assessment for Learning Policy and Procedures, requiring every unit to have a secure assessment that is explicitly mapped to learning outcomes and validates core knowledge and skills. This study reports on the first pilot of that policy in three wholly online, postgraduate units. Using the 4-A Framework for secure assessment design, we implemented remotely-invigilated final exams in two units and a live, oral presentation in the third. Semi-structured interviews are planned with academics and students, and completion data and incident reports will be analysed. Preliminary pilot findings indicate that secure tasks can credibly validate student ownership of learning outcomes in an online environment. While both formats reduced academic-integrity breaches, oral presentations garnered higher perceptions of authenticity and lower than expected administrative overheads. We argue that secure, outcome-mapped assessments are feasible, scalable, and pedagogically valuable in online postgraduate education, and we outline policy and practice implications for institutions facing similar regulatory pressures.
    Read article →PDF1,053 downloads
  2. Empowering women to code: Playful learning with Karel

    Stephen Tierney, Alison Wong

    Programming skills are essential across STEM and data-intensive fields, yet many students, particularly women, experience anxiety and lack confidence in their coding abilities. To address these issues, we developed an extracurricular coding challenge using Karel the Robot for undergraduate and postgraduate business students enrolled in introductory data science units. We conducted a mixed-methods study to evaluate the effectiveness of the intervention. Participants who engaged with the challenge reported an increase in positive sentiment towards programming and confidence. Notably, women exhibited larger gains in confidence than men, despite facing the stereotype about gendered ability. These findings indicate that playful and low-stakes environments can empower underrepresented learners.
    Read article →PDF873 downloads
  3. Undergraduate 2030: Reimagining our higher education landscape for the epistemological and technological youthquakes of Generation Alpha

    Peter Bryant

    Generation Alpha, born entirely in the 21st century, is set to transform higher education through their distinct behavioural, epistemological, and technological traits. This paper critically examines how their expectation that are shaped by personalisation, digital immersion, and non-linear knowledge acquisition, challenge traditional undergraduate education models. Drawing on an informed critique literature review, the study explores the implications of Generation Alpha’s learning preferences and proposes a future-focused response through higher education learning design. The Adaptive Learning Ecosystem (ALE), developed at the University of Sydney Business School, is introduced as a model for reimagining curriculum, assessment, and student engagement. The model supports personalised, transdisciplinary, and socially connected learning, enabling students to navigate complex educational journeys with agency and purpose. The paper outlines three strategic horizons (program design, lifelong learning, and space spaces for innovation) through which higher education institutions can respond to the educational ambitions of Generation Alpha. We argue for a co-designed, human-centred approach to learning that prepares students not for today’s technologies and crises, but for the unknown and yet to be experienced challenges of tomorrow. In doing so, universities can remain relevant, resilient, and impactful in an era of continuous change.
    Read article →PDF838 downloads
  4. "Artificial Unconsciousness": What toilet graffiti reveals about the limits of university mental health support in the age of AI

    Ruby-Ngoc Nguyen

    This paper interrogates the tension between institutional deployments of AI chatbots for student wellbeing and the informal, peer-to-peer support networks that emerge in university bathroom spaces. Anchored in the student-inscribed phrase “ARTIFICIAL UNCONSCIOUSNESS CHATBOT,” the study undertakes a cross-disciplinary synthesis of two bodies of literature: systematic reviews evaluating the effectiveness and limitations of AI chatbots in mental health support, and empirical studies of bathroom graffiti as a mode of collective care. Drawing on Cohen’s (1997) theory of the safe house, Jung’s (1966) wounded healer archetype, and Heidegger’s (1962) phenomenology of authentic being-with, we analyse why graffiti walls succeed in fostering protected vulnerability, temporal spaciousness, and existential co-presence, while institutional AI systems often collapse these conditions into surveillance, efficiency, and artificial intimacy. The analysis culminates in the Human-AI Synergy Model, which reconceptualises AI not as a therapeutic substitute but as a relational relay: a tool that can preserve anonymity, scaffold temporal spaciousness, and reduce cognitive burden while pointing students toward authentic human connection. By contrasting what is systematically erased in institutional AI systems with what flourishes in informal peer safe houses, the paper offers critical guidance for designing AI in higher education that enhances rather than erodes the phenomenological conditions of genuine care.
    Read article →PDF765 downloads
  5. 2025 Governance of artificial intelligence and data in Australasian tertiary education: A snapshot of policy and practice

    Ratna Selvaratnam, Steve Leichtweis, Kate Ames, Travis Cox, Patrick Stoddart, Alanieta Lesuma-Fatiaki, Gordon Cunningham

    This whitepaper is a follow-up of the Australasian Council of Open and Digital Education (ACODE) survey in 2024 on the governance of artificial intelligence (AI) and data in Australasian higher education (Selvaratnam, Ames & Leichtweis, 2024). Last year’s results showed that the sector was in the earlier stages of maturity, while the latest survey, conducted in the second half of 2025, shows growth in operationalising AI. The survey assesses the extent to which institutions have advanced their AI strategies, promoting social and emotional well-being, psychological safety, and strengthening ethical and data governance. To this end, the JISC AI Maturity Model for Education is used to gauge the sector’s growth in the governance of AI and data, both in policy and practice. The outcomes show that the sector has made progress in the last 12 months. The challenges were mainly resourcing constraints and a lack of systemic governance.
    Read article →PDF614 downloads