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2025: ASCILITE 2025 Conference Proceedings

The Proceedings of the 2025 ASCILITE Conference

S. Barker, S. Kelly, R. McInnes & S. Dinmore. (Eds.). Future-focused: Educating in an era of continuous change. Proceedings ASCILITE 2025. Adelaide. Adelaide Convention Centre, Adelaide, Australia. November 30 - December 3 2025. https://eventstudio.eventsair.com/ascilite-2025

Published: 28 November 2025

Full Issue

ASCILITE Conference - Full Papers

  • Behavioural transitions in team teaching: Comparing low and high experience teachers via Transition Network Analysis

    Yuchen Liu, Sadia Nawaz, Mohammed Saqr, Sonsoles Lopez-Pernas, Riordan Alfredo, Paola Mejia-Domenzain, Dwi Rahayu, Roberto Martinez-Maldonado

    As team teaching becomes increasingly common in higher education, understanding how teams of teachers coordinate their behaviours in the classroom is critical for effective instruction and instructional design. While prior research has examined teaching behaviours through classroom observations, much of this work has tended to treat behaviours as isolated categories. This is, focusing on what occurs rather than how behaviours transition over time. Moreover, whether teachers with different levels of teaching experience exhibit distinct behavioural transitions in team teaching remains underexplored. This study addresses this gap by investigating how teaching behavioural transitions differ between high and low experience teachers working as a team in the classroom. Drawing on human-coded observations from 36 team-taught university sessions, and analysed using Transition Network Analysis (TNA), we visualised and compared patterns of behavioural transitions. The results revealed significant differences in behavioural transitions between teachers of varying experience levels. High experience teachers were more likely to transition directly from lecturing into interactions with students, and subsequently into real-time instructional adjustments, demonstrating instructional responsiveness and adaptability. In contrast, low experience teachers demonstrated a stronger reliance on peer coordination. This finding highlights the role of teaching experience in shaping team teaching dynamics and offers implications for teacher pairing and professional development.

  • The Global Artificial Intelligence University (GAIU): The first digital-age university

    Philip Uys, Mike Douse

    Universities are using Artificial Intelligence as an add-on and not achieving its transformational benefits. In this presentation to Ascilite, a different kind of university is described: the futuristic “Global Artificial Intelligence University (GAIU)” that applies AI to all its processes, as machine learning and artificial intelligence in education are finally coming of age – instead of an indifferent machine, AI has become a dedicated companion. The current capabilities of AI are projected into the future, while surprisingly new beneficial applications of AI could occur and transform GAIU even further. As with any educational technology, the potential and application of AI need to be guided by ethical, value-based considerations aimed at benefiting the students. While the GAIU Council initially believed that only the students would be real people, it became clear that a small group of other humans are also needed. Furthermore, a fundamental principle at GAIU remains that students want to interact with other people some of the time and this basic human need of “high touch” is balanced with the “ colder” AI algorithms. Perhaps this debate, along with the ever-more-responsively-evolving GAIU itself, signal a dramatic reassessment of what a digital-age university should be, and how humans and machines can excel together.

  • Leveraging NLP-based tools for constructive alignment

    Coskun Kilinc, Chathu Ranaweera, Julien Ugon, Andrew Cain, Charlotte Pierce

    Constructive alignment requires that learning outcomes, teaching activities, and assessments be coherently structured. However, verifying this alignment, especially across large curricula, remains difficult at scale. In this paper, we present a Natural Language Processing (NLP)-based approach to automatically assess the alignment of Intended Learning Outcomes (ILOs), typically comparing smaller course-level objectives to broader Graduate Learning Outcomes (GLOs). Based on expert annotations, we fine-tune an NLP classifier to predict alignment with graduate learning outcomes focused on communication skills. Our results show that NLP tools can support alignment review by surfacing ambiguous phrasing and prompting expert judgement, offering a scalable and pedagogically grounded approach to curriculum quality assurance.

  • Learning designers and AI: Navigating values, ethics, and future capabilities

    Kay Harrison, Sangeetha Kirsnan, Simone Poulsen, Tina Barclay, Monica Vahl

    Artificial intelligence is rapidly transforming and reshaping higher education, assessment and learning design. Learning Designers working in higher education are no strangers to change; however, artificial intelligence is changing assessment, education and course delivery faster than any previous change. In this era of rapidly evolving priorities, how do learning designers navigate this while applying and developing their personal values, balancing ethical considerations and improving their future capabilities. This study investigates the personal values and ethical considerations of learning designers and third space workers using artificial intelligence, the support received from their institutions to adapt and grow their skills in artificial intelligence use and considers how learning designers can build future learning design capabilities.

  • Clarifying third space roles for more effective collaboration

    Colin Simpson

    A growing number of third space practitioners work in academic developer (AD), educational technologist (ET) and learning designer (LD) roles in higher education to help academics navigate increasingly complex teaching practices. These specialist roles are referred to here as Educator Advisors (EdAdvisors). Inconsistent use of terminology and inaccurate role definitions for EdAdvisors can hinder the formation of sustainable collaborative relationships between EdAdvisors and academics by reducing understanding of their knowledge and skills. This mixed-methods study is comprised of a survey of EdAdvisors in 41 Australian higher education institutions and semi-structured interviews. It advances understanding of EdAdvisor roles by proposing descriptions which accommodate contextual differences within roles. Informed by a practice theory lens, it uses a combination of purposes, “practice bundles”, and capability types to support a new framework for describing EdAdvisor roles that addresses existing issues with role clarity which have largely not been resolved by more competency-oriented approaches. These descriptions for the three EdAdvisor roles are intended to stimulate discussion about practical steps to build understanding of people working in these roles in order to facilitate more effective collaborative working relationships between EdAdvisors and academics as they work to co-create innovative educational experiences.

  • Integrating GenAI in higher education: The critical voices shaping pedagogy and integrity

    M. Shokry Abdelaal, El-Sayed Abd-Elaal, Amanda Janssen , Elizabeth Smith, Abdullatif Lacina Diaby

    The adoption of Generative Artificial Intelligence (GenAI) in Higher Education offers opportunities for innovation but also presents challenges for teaching and learning (T&L). Understanding its impact requires perspectives from discipline academic staff, academic integrity officers (AIOs), students, and industry partners. This study uses data from a two-year T&L project at the University of South Australia (UniSA), including surveys of 1,000 students, 80 discipline academic staff, and 19 AIOs, plus industry advisors, to capture perceptions two years after GenAI's widespread yet gradual adaptation. Academic staff across disciplines remain uncertain about GenAI’s effects on student work, raising concerns about critical thinking, engagement, feedback, and the attainment gap. Students’ experiences of GenAI vary across academic units: STEM and Education Futures students see benefits in generating insights and organising ideas. In contrast, Clinical & Health Sciences and Business students are more cautious. Non-native English speakers report higher perceived benefits from using GenAI. To safeguard Academic Integrity, AIOs recommend prioritising assessment redesign (88.2%) and ethical discussions with students (76.5%) over detection tools (39.5%). Markedly, while 90% of AIOs reported investigating GenAI-related misconduct, only 21% felt confident in their ability to detect it. Industry partners indicate their practices are evolving, with growing emphasis on skills like critical thinking (22%), problem-solving (18%), and adaptability (12%), emphasising the need for real-world assessments that foster these skills in academic settings. These findings highlight the need for a comprehensive institutional approach that includes assessment redesign, clear guidance, staff training, and ethical discussions to ensure responsible GenAI use while helping students develop essential skills. Strengthening the partnership between academia and industry can better align curricula with evolving employment requirements and prepare graduates for the changing workplace landscape.

  • Dreaming forward: Learning designers exploring the gap between current realities and imagined futures

    Raelene Tifflin, Simin Littschwager, Kashmira Dave, Camille Dickson-Deane

    In this paper, we reflect as third space professionals, two academic staff and two professional staff, working in higher education across Australia and Aotearoa New Zealand. Using collaborative autoethnography, we draw on Marty Neumeier’s concept of “applied imagination” to explore how we envision the future of our work. Our dreaming is grounded in lived experience and shaped by the complex psychosocial landscape of navigating contemporary institutions. Through collective reflection, we interrogate not only our own identities but also the wider possibilities and tensions inherent in third space roles. Thematic analysis of our narratives revealed three central themes: agency, autonomy, and authority. We share a desire to be recognised as initiators and leaders who are trusted to shape the future of teaching and learning, not merely to implement the visions of others. For us, autonomy means intellectual and creative freedom; authority is about earned legitimacy and influence rather than formal power. While we acknowledge the tensions and dissonance that arise within this psychosocial landscape, we also find it a generative space for curiosity, collective sense-making, and new possibilities for third space professionals in universities.

  • A collaborative digital storytelling pedagogy for first year marketing education

    Monica Orlovic, Gosia Ludwichowska-Alluigi

    This paper presents a collaborative initiative involving educators (online and in-class), disciplinary researchers, digital media and learning designers, and an industry-based specialist to co-design a digital storytelling approach for a core first-year marketing course across five programs. Professionally relevant, industry-aligned curriculum is now a standard expectation among students, practitioners, and academics. However, first-year courses are typically theory-heavy, making it difficult for students to connect abstract concepts to real-world practice. To address this, we used a digital storytelling pedagogy to teach marketing students through work-simulated scenarios that place students at the centre of a fictional marketing team. The narrative structure was embedded across fully online and hybrid formats using a range of digital resources. This design enables students to engage with realistic professional challenges, apply theoretical knowledge, and build foundational problem-solving skills. A within-subjects research design was used to evaluate the impact of storytelling on student learning outcomes. Findings show that this approach creates more meaningful and engaging learning experiences, enhances the practical relevance of early tertiary education, and demonstrates the potential of digital storytelling as a bridge between theory and professional readiness. This work contributes to pedagogical innovation in marketing education and highlights the value of cross-functional collaboration in curriculum design.

  • Leveraging student confusion in online forum posts to enhance student engagement using text-based learning analytics

    Sisi Liu, Rhoda Abadia, Antonella Strambi, David Caldwell, Xueer Caiwei

    Online discussion forums serve as a natural repository of students’ emotions and feelings in online learning environments, as students often post to seek assistance with academic challenges and difficulties. Understanding the complexity of student emotions or affective states is crucial for fostering meaningful engagement and promoting academic success. This study focuses on confusion, a cognitive-affective state that emerges from complex learning processes and is recognised as potentially beneficial for deep learning when reaching an optimal state in terms of its duration and intensity. A text-based learning analytics (TLA) workflow grounded on the confusion and affect dynamics model was proposed. Six machine learning models were evaluated for their effectiveness in classifying confusion from online discussion forum posts collected from three courses. Results indicated that model performance was inconsistent. To demonstrate the viability of the proposed TLA workflow, it was applied to a comprehensive set of course data gathered from two study periods. Through systematic evaluation of students’ confusion states and transitions and their relationship with students’ academic performance, the study establishes the feasibility of the proposed workflow in facilitating educators’ early identification of students experiencing prolonged cognitive disequilibrium that may lead to unproductive struggle rather than meaningful learning gains.

  • Scaffolding students’ learning of introductory programming in online higher education by personalised formative assessments

    S. M. Masud Karim, Siamak Mirzaei, Shekh Nisar Hossain, Rhodora Abadia, Aminul Islam

    This paper presents the results of a study to investigate the application of personalised assessment in supporting students’ learning of introductory programming. The participants of the study were university students majoring in information technology and data analytics. The students in the study were added to a Moodle course called Computer Programming in Python, where they were allowed to take a test implemented using personalised assessment and another test implemented using traditional assessment (i.e., timed, fixed length and randomised ordering) as many times as they intend. The tests consist of mixed types of questions ranging from single word answers, True-False to multiple choice questions with three, four or five possible answers with one correct answer. The questions for the test using personalised assessment are divided into three categories according to the level of difficulty (easy, medium and hard). Based on these three categories, students’ abilities were estimated as Beginner, Intermediate, Advanced and Expert and detailed personalised feedback were provided instantly highlighting the concepts and issues in their attempts and linking with the course contents and course objectives. The results of the study show that the personalised assessment significantly outperforms traditional assessment with respect to usability, effectiveness and immediate quality feedback.

  • Reframing the migrant academic journey through Activity Theory: A reflective autoethnography

    Kashmira Dave

    Comprising a significant portion of the Australian population (35.5% according to (Australian Bureau of Statistics, 2024), migrants often navigate complex socio-professional landscapes. This autoethnographic reflection explores the transformative journey of an educator who migrated from India two decades ago as a skilled professional. Utilising Activity Theory (AT) as a conceptual framework, this paper delineates the major milestones, challenges, and instrumental mediations that have shaped the author's trajectory in the Australian higher education sector. By foregrounding the interplay of personal agency, systemic structures, and cultural dynamics, this account provides concrete examples of how initial hurdles were leveraged as catalysts for growth and the development of a nuanced professional identity. The paper draws upon retrospective journal entries and contemporary reflections to illuminate the multifaceted nature of migration beyond purely economic considerations, culminating in insights pertinent to future migrant educators and a connection to emerging research on systemic biases.

  • Assurance of learning in the age of AI: A sector scan and future-focused call to action

    Danielle Logan-Fleming, Manisha Thakkar, Selene Martinez Pacheco, Helen Jones, Dominique Parrish

    As Artificial Intelligence (AI) continues to evolve and influence higher education, ensuring that Assurance of Learning (AoL) frameworks remain both robust and adaptable, is vital. This paper presents a qualitative document analysis of Australian university AoL frameworks, examining their readiness for AI integration. The findings reveal a sector in early adaptation, marked by a tension between foundational AoL principles and AI's disruptive pace. We observe strategic AI acknowledgement often confined to policy, a nascent reform of graduate attributes to encompass AI literacy, and innovative practices largely isolated at the course or program level. Consequently, core AoL components such as curriculum mapping and assessment design, often remain disconnected from AI-assisted learning, limiting their reliability. This highlights significant conceptual and operational gaps, including varied institutional maturity, fragmented approaches, and a lack of sector-wide consensus or explicit guidance on ethical, observable AI-enhanced assessment. This paper calls for a shift from static quality assurance, defined by periodic compliance checks, to dynamic and systems-aware learning assurance. It proposes a future-focused AoL approach that embeds AI literacy, inclusive assessment design and stronger sector collaboration. As the first in a series, it contributes to ASCILITE 2025 by exploring how human expertise and AI can uphold academic standards.

  • Personal finance education in undergraduate economics programs: A necessity in the digital age

    Nghiêm Xuân Khoát

    In the digital age, where financial technologies (FinTech) are transforming personal finance behavior, equipping undergraduate economics students with Personal Financial Literacy (PFL) is essential. This study investigates the integration of Personal Finance Education (PFE) in economics curricula across Vietnamese universities and evaluates its impact on students’ financial capability. A mixed-methods approach was employed: content analysis of 120 course syllabi from six universities, combined with a quantitative survey of 400 third- and fourth-year economics students. Findings show that only 9.6% of programs include mandatory PFE courses. Regression analysis reveals that students who completed a PFE course scored significantly higher in PFL (Beta = 0.40, p < 0.001) even after controlling for income, gender, academic performance, and digital financial behavior. Notably, FinTech use not only has a direct positive effect on PFL (Beta = 0.35) but also amplifies the effectiveness of PFE through a significant interaction effect (Beta = 0.22). This suggests that digital engagement enhances financial education outcomes. The paper calls for a systemic shift toward integrating compulsory PFE in economics programs, aligned with FinTech practices and active learning strategies. Such an approach supports the development of financially capable, digitally fluent graduates, prepared for the complexities of the modern financial landscape.

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