Digital Commons Network^™

Advancing Digital Technology Teacher Education Through The 3c Model, Peter Curtis, Michael D. Carey, Natalie Mcmaster, David A. Martin

Research outputs 2022 to 2026

The integration of digital technologies into teacher education is a significant development to prepare educators for the demands of contemporary classrooms. However, current teacher education programs often fall short in supporting pre-service teachers to understand the pedagogical shift toward embedding coding and computational thinking (CT) skills. In response, this paper presents the 3C Model (Context, Capabilities and Computational focus), a research-informed pedagogical framework designed to support pre-service and in-service teachers in delivering structured, curriculum-aligned instruction in coding and CT. Drawing on recent research, its findings, and its implementation in teacher education contexts, the 3C Model is presented as an innovative …

Application Of The Paediatric Medical Traumatic Stress Model To The Mental Health Experience Of Young People Living With Type 1 Diabetes: A Qualitative Study, Rigel Paciente, Sara Coombs, Karen Lombardi, Helen Milroy, Keely Bebbington, Heather Roby, Craig E. Taplin, Nicole Wickens, Stella Rose, Alix Woolard

Research outputs 2022 to 2026

Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model (PMTS). Young people aged 13–30 living with T1D were interviewed. These interviews were recorded, transcribed, and analysed using Reflexive Thematic Analysis. Three main themes were generated: (1) perceived …

Infestation By Phorid Flies Disrupts Behavior And Immune Function In Honey Bees Monitored By Radio-Frequency Identification, Gloria Ruiz-Guzmán, Oliverio Delgado-Carrillo, Francisco J. Balvino-Olvera, María De Jesús Aguilar-Aguilar, Violeta Patiño-Conde, Paulo De Souza, Ulises Olivares-Pinto, Mauricio Quesada

Research outputs 2022 to 2026

Honey bees (Apis mellifera Linnaeus) are important pollinators in natural and agricultural ecosystems and play a key role in global food production. However, colonies are increasingly affected by multiple stressors, including emerging parasites, which can compromise their health and performance. Among these, phorid flies (Diptera: Phoridae) have been observed in association with weak or collapsing honey bee colonies in various regions in Mexico, yet their effects on honey bee behavior and immune function under field conditions remain poorly understood. In this study, we investigated the impact of a phorid fly infestation on the behavior, survival, and immune defense of A. …

Switching Configurations For Reconfigurable Battery Packs: A Review, Kenneth Tetteh Akiti, Quoc Viet Phung, Iftekhar Ahmad, Daryoush Habibi

Research outputs 2022 to 2026

Conventional Battery Energy Storage Systems (BESS) are designed with fixed cell topologies, where the electrical connection between cells remains unchanged throughout their life. Although Battery Management Systems (BMS) and conventional cell-balancing techniques are employed to monitor and maintain performance, they often fail to address key challenges such as uneven cell aging, capacity mismatch, and fault isolation that arise especially during the second life of a battery pack. These limitations can result in reduced efficiency, reduced reliability, and shortened battery life. As large-scale battery packs become increasingly common in Electric Vehicles (EVs), smart grids, robotics, and renewable energy systems, the limitations …

Application Of Artificial Intelligence (Ai) In Cancer Symptom Management For Adult Cancer Survivors: A Scoping Review, Tao Wang, Haiying Wang, Mengyuan Li, Daniel Bressington, Daniel Terry, Guanjin Wang, Wai Hang Kwok, Jing Yu (Benjamin) Tan

Research outputs 2022 to 2026

Background and aim: Artificial Intelligence (AI) has been increasingly used in cancer survivorship to support symptom management. This scoping review aimed to map existing evidence on AI applications in cancer symptom management for adult cancer survivors, including AI model development, AI-enabled intervention delivery and adoption, symptom targets, key features of the AI approaches used, reported outcomes, influencing factors, and research gaps to inform future priorities.

Method: This scoping review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews. Eight electronic databases were comprehensively searched in November 2025 and updated in March 2026. Empirical studies published in …

Lithium Titanate-Functionalized Mixed Matrix Polymer Membrane For High-Performance Osmotic Energy Conversion, Rockson Kwesi Tonnah, Yasaman Boroumand, Milad Razbin, Mostafa Vahdani, Amir Razmjou, Mohsen Asadnia

Research outputs 2022 to 2026

Reverse electrodialysis (RED) offers a promising route to harvest osmotic energy from salinity gradients, yet practical implementation is hindered by the lack of scalable, high-performance ion-selective membranes that combine efficient ion transport with mechanical robustness and environmental sustainability. Here, we report a mixed matrix membrane composed of polyethersulfone (PES), polyvinylpyrrolidone (PVP), and lithium titanium oxide (Li₂TiO₃, LTO) that addresses these challenges through biomimetic ion transport channels. The strategic integration of LTO nanoparticles introduces ion-exchange sites and oxygen-rich PES ether linkages to create preferential cation transport pathways that mimic biological ion channels. This mixed matrix design delivers over three-fold cation conduction, …

Keyframe Selection From Motion Capture Data With Dual-Agent Reinforcement Learning, Kun Hu, Wang, Clinton Mo, Mingyang Ma, Shaohui Mei, Zebin Chen, Zhiyong Wang

Research outputs 2022 to 2026

Animation production workflows centered around motion capture techniques require animators to edit motions based on a set of keyframes. However, most existing keyframe selection methods are optimization-based, which suffer from the issues of flexibility and efficiency. In this paper, a novel deep reinforcement learning method with dual agents are proposed for unsupervised keyframe selection. First, an S-Agent and an R-Agent evaluate the actions of selection and refinement, respectively. A deep spatio-temporal network, namely graph keyframe evaluation network (GKEN), is proposed for the agents. Then, an animation specified reward is devised based on reconstruction, which fulfills three important properties of the …

The Unacknowledged Challenge Of Moral Distress For Nurse Academics, Adam Burston, Glenna Mae Guiriba, Meena Gupta, Sara Bayes

Research outputs 2022 to 2026

The pluralistic nature of healthcare presents nurses with situations challenging their moral values which nurses must navigate. Challenges to moral values can result in the experience of moral distress, a problem that is common within the clinical nursing context. Moral distress is a known and well-researched phenomenon within nursing and has long contributed to detrimental effects such as frustration, anger, anxiety, decreased job satisfaction, burnout and ultimately attrition. However, despite extensive research in clinical environments, minimal research exists detailing this concept within the context of nursing academics and educators. Nurses can experience moral distress if they are in or exposed …

Listening As Method: She Speaks And The Case For Podcasting As A Feminist Research Methodology In Women's Non-Medicalised Self-Care, Narelle Lemon

Research outputs 2022 to 2026

Women's non-medicalised self-care — the everyday, relational practices through which women tend to themselves — remains largely illegible to conventional health research methods. This article argues that podcasting constitutes a feminist research methodology rather than a supplementary dissemination tool and makes the case for its adoption in qualitative health research on women's wellbeing. The argument develops through an extended case study of She Speaks , an Australian podcast series produced by the author across four seasons and sixty-two episodes. Situated within arts-based research and feminist methodological traditions, the study treats the podcast itself as the research vehicle: a site where …

Glomalin-Related Soil Protein In Colluvial Soils As A Proxy For Reconstructing Millenary Changes In Landscape And Soil Health, Axel Werner, Lourdes López-Merino, Joeri Kaal, Cruz Ferro-Vázquez, Oscar Serrano

Research outputs 2022 to 2026

Glomalin-related soil protein (GRSP) is an operationally defined soil organic matter pool that includes a heat shock protein linked to arbuscular mycorrhizal fungi (AMF) living in symbiosis with most vascular plants and plays a key role in soil health. However, the potential of GRSP as a palaeoecological proxy remains unexplored. We analysed the GRSP content in a North-western Iberian colluvial soil profile encompassing the last 14,000 years. We aimed to 1) identify whether GRSP is preserved, and 2) investigate whether GRSP could be used as a palaeoecological proxy after comparing its record with palynological and pedoanthracological records that account for …

Decision Delegation To Genai Agents In Travel Planning: Responsible Ai Signals, Delegation Levels, And The Transparency Paradox, Sanjit K. Roy, Gaganpreet Singh, S. Mostafa Rasoolimanesh, Ronnie Das, Ali N. Tehrani

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI) is becoming an integral part of travel planning. This fundamental transformation is changing the definition of travel decision delegation, calling for fresh research into responsible AI in tourism. Drawing on agency theory, trust theory and decision delegation framework, this study conceptualises five responsible AI characteristics (reliability, fairness, trustworthiness, accountability, transparency) as evaluative signals for travellers to assess GenAI across three decision delegation levels, i.e., attribute set, choice set, and final decision. Using a multi-method approach, we analyse data collected from 421 travellers. Findings suggest that reliability and accountability are consistent drivers of delegation across all levels, …

Electrochemical Behavior Of Passive Film On Electron Beam Powder Bed Fusion Fabricated Ti-6al-4v Alloy Under Uniaxial Tensile Stress, Hongyu Zheng, Mengdi Yan, Yun Bai, Qian Wang, Lai-Chang Zhang, Jin Xu, Hao Wang, Yingjie Ma, Shujun Li, Rui Yang

Research outputs 2022 to 2026

As medical titanium alloys inevitably undergo synergistic actions of stress and corrosion in human body, a comprehensive investigation of their relevant properties is deemed essential for ensuring their safe application. This work investigates the uniaxial tensile stress electrochemical behaviour of Ti-6Al-4V alloy fabricated by electron beam powder bed fusion under simulated implantation conditions. The results indicate that tensile stress facilitates rapid formation of a dense passive film, which contains a high proportion of high-valent oxides. As the passivation process proceeds, applied stress promotes more defects accumulation in the passive film, compromising its barrier function and reducing corrosion resistance. Under sustained …

The Value Of Pilot And Feasibility Studies In Nursing Education Research: A Worked Example, Dhanya Anand Anil Kumar, Natasya Raja Azlan, Hugh Davies, Chandra P. Salgado Kent, Debbie Massey, Karen Strickland

Research outputs 2022 to 2026

Background: Feasibility studies play a critical role in determining whether clinical or educational interventions can be implemented as intended before progressing to large-scale trials. In nursing education, many innovative teaching strategies, particularly complex interventions such as simulation-based learning, are often advanced directly to full trials without first establishing feasibility. This premature progression creates recruitment, acceptability, fidelity, and protocol adherence challenges, which may compromise study quality and valuable resources. This paper addresses this gap by clarifying the purpose and value of feasibility studies in nursing education research and outlining key considerations for designing an early-stage feasibility study that aligns with contemporary …

Values, Flourishing, And Identity Integration: Understanding Alcohol And Other Drug Use Among African Australian Youth, Abraham Kenin, Justine Dandy, Kwadwo Adusei-Asante, Sonam Pelden

Research outputs 2022 to 2026

Previous research suggests Alcohol and Other Drug (AOD) use by sub-Saharan African (SSA) youth who emigrate to Western cultural contexts like Australia is an indication of their acculturation and is influenced by their values. Although values are distal predictors of AOD use, the extent to which SSA Australian youth apply their values in AOD use could be a function of their psychological flourishing and Bicultural Identity Integration (BII). The aim of this study was to test a predictive model that combines values, psychological flourishing and BII to explore how the interaction of personal values and adaptive resources are related to …

Adaptive Improved Particle Swarm Optimization-Based Maximum Power Point Tracking And Energy Smoothing For Photovoltaic Hybrid Battery–Supercapacitor Storage Systems, Mohammad Aminul Islam, Guo Shaokai, Jakaria Mahdi Imam, Mohammad Khairul Basher, Nowshad Amin, Tarek Abedin, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The rapid development of photovoltaic (PV) systems has made them an important component of the global clean energy strategy. However, the intermittency and non-linear characteristics of photovoltaic (PV) output remain major challenges for stable renewable energy utilization. This study proposes an adaptive improved particle swarm optimization (IPSO)-based maximum power point tracking (MPPT) strategy integrated with hybrid energy storage coordination for photovoltaic systems. The IPSO introduces adaptive inertia adjustment, velocity clamping, and stagnation reinitialization, which improve the convergence robustness under dynamic irradiance and temperature conditions. The algorithm was benchmarked against Perturb & Observe (P&O), Incremental Conductance (INC), and standard PSO using …

Two-Stage Stochastic Programming For Resource Allocation In Mobile Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) enable long-range communication for a range of applications. However, UANs are severely limited by scarce acoustic spectrum, which is shared with marine animals and can lead to disruptive interference, contributing to anthropogenic ocean noise. In addition, the underwater environment is highly dynamic, where: marine-animal presence is uncertain, channel conditions fluctuate, and Doppler effects degrade communication reliability. Prior UAN studies have addressed these challenges separately, despite their combined effect on resource allocation. Accordingly, this paper proposes a two-stage Scenario-based Stochastic Programming (SSP) framework with a hybrid risk approach that jointly treats these challenges within a single resource …

Green Lithium Extraction From Alkaline Brines Using A Dibenzoylmethane Octanol System, Maryam Gonbadi, Shayan Abrishami, Ozra Gholipour, Ana Vafadar, Amir Razmjou

Research outputs 2022 to 2026

The escalating global demand for lithium necessitates the development of efficient, selective, and environmentally sustainable extraction technologies from brine resources. This study presents a novel solvent extraction system employing dibenzoylmethane (DBM) as a lithium-selective β-diketone chelating extractant and 1-octanol as a biodegradable diluent for lithium recovery from alkaline salt lake brines. The effects of critical process parameters, including aqueous phase pH, extractant concentration, and total dissolved solids (TDS), on lithium extraction efficiency and selectivity were systematically investigated. Under optimized conditions (pH 12, 0.3 M DBM in 1-octanol), the system achieved a single-stage lithium extraction efficiency of 80.8% with exceptional separation …

Integrated Multigeneration System Utilizing Industrial Gas Engine Waste Heat For Power, Oxygen, Hydrogen Generation, And Process Heat Supply: A Thermodynamic, Exergo-Economic, And Environmental Analysis, Md Musfiqur Rahman, Md Shahriar Mohtasim, Barun K. Das

Research outputs 2022 to 2026

Integrating waste heat recovery units into industrial energy infrastructure provides a sustainable solution by reducing reliance on fossil fuels and improving substantial plant efficiency. Recent studies have addressed this issue using Brayton, Rankine, organic Rankine, thermoelectric, and electrolysis-assisted waste heat recovery systems for power, heat, hydrogen, or other useful outputs. However, many configurations recover exhaust gas and jacket water heat separately, focus mainly on electricity, and provide limited source-to-sink matching for industrial steam, process heat, oxygen demand, cost, and environmental performance. This study proposes a source-to-sink matched multigeneration system for a 10 MW Wärtsilä 20V34SG gas engine, where each waste …

Supervisor Need-Thwarting Behaviour And Followers' Turnover Intentions: A Conditional Moderated Mediation Model, Andrei Alexander Lux, Esme Franken, Geoff Plimmer

Research outputs 2022 to 2026

Purpose: This study examines how supervisor need-thwarting behaviour relates to employee turnover intentions through needs frustration, and how interactional justice and job insecurity conditionally moderate this relationship.

Design/methodology/approach: Data were collected through a two-wave survey of Australian workers (n = 359). The proposed conditional moderated mediation model was tested using Hayes' PROCESS Macro Model 11 in IBM SPSS v28.

Findings: Supervisor need-thwarting behaviour was positively associated with turnover intentions, both directly and indirectly through needs frustration. The indirect relationship was conditionally moderated by interactional justice and job insecurity. Interactional justice buffered the positive association between need-thwarting behaviour and needs frustration …

Simulating Infrared Spectra Of Matrix Isolation Experiments: What Works Best?, Matthew H.V. Graneri, Dino Spagnoli, Duncan A. Wild, Allan J. Mckinley

Research outputs 2022 to 2026

Matrix isolation is an experimental technique which allows spectroscopists to observe highly reactive or weakly bound systems by trapping them in frozen noble gas matrices. In this work, we studied the viability of using ab initio molecular dynamics (AIMD) to simulate several H2S·amine complexes isolated in solid argon crystals, comparing the results with conventional density functional theory (DFT) harmonic and anharmonic calculations to assess the most practical and accurate method to calculate the vibrational spectrum of such systems. While AIMD accurately predicted the intensity ratios of certain peaks, the frequencies themselves were no more accurate than conventional harmonic DFT calculations. …

A Review Of Natural Hydrogen Generation From Iron-Rich Rocks: Mechanisms, Influencing Factors, Techniques, And Knowledge Gaps, Kaveh Moghanirahimi, Lionel Esteban, Marina Pervukhina, Muhammad Arif, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Natural hydrogen has emerged as a promising clean energy resource with significant potential for large-scale subsurface production. Among the various geological sources, water–rock interactions involving iron-bearing rocks are among the most extensively studied pathways for natural hydrogen generation. This study provides a comprehensive review of hydrogen production from iron-rich lithologies, including mafic and ultramafic rocks, iron oxides, iron carbonates, and peralkaline granites. The fundamental mechanism involves the reduction of water coupled with the oxidation of ferrous iron to ferric iron under anoxic conditions. Key processes, including serpentinization, magnetite alteration, and siderite decomposition, are critically evaluated using experimental and modelling data. …

Prevalence Of Vitiligo In East Africa: Systematic Review And Meta-Analysis, Kedir Seid, Chala Getaneh Jaleta, Sintayehu Samuel Lorato, Mitiku Desalegn, Dawit Tesfaye Rundasa, Yohannes Godie Ashebir, Olyad Kuma Getahun, Gebeyehu Lakew, Mathewos Mekonnen Gemmechu, Mulualem Endeshaw Zeleke, Yibeltal Assefa Atalay, Amlaku Nigusie Yirsaw, Eyob Ketema Bogale, Abiy Hailu Tikuneh, Abas Ali Hassen, Eyasu Alem Lake, Tadesse Nigussie, Bushra Bibi, Fikiru Yigezu Y. Jaleta, Abebe Gedefaw Belete, Genanew Kassie Getahun

Research outputs 2022 to 2026

Background: Vitiligo is a chronic skin disorder characterized by the loss of melanocytes, resulting in depigmented macules and patches. No accurate estimate has been made of the prevalence of vitiligo in East Africa.

Objectives: To determine the prevalence of vitiligo in East Africa via a systematic review and meta-analysis of the literature.

Methods: A systematic review and meta-analysis were performed in accordance with the PRISMA guidelines. Eleven articles were retrieved from PubMed/MEDLINE, Embase, Scopus, Google Scholar, Science Direct, Web of Science and African Journals Online. Microsoft Excel was used to extract the data, which were then exported to STATA 17 …

Performance Evaluation Of Header Pipe In Heat Pipe Evacuated Tube Solar Collector By Dimpled Condensers, Furqan Jamil, Mehdi Khiadani, Yasir M. Al-Abdeli, Abdellah Shafieian

Research outputs 2022 to 2026

Among different solar water heaters, heat pipe-based solar water heaters foster potential solutions to alleviate water scarcity. However, a lower outlet temperature at the outlet section of their header pipe reveals low system efficiency due to limited heat transfer between the flowing fluid and the heat pipe condenser walls. The main aim of this study is to investigate a model manifold header pipe having five condenser sections with a dimple pattern to replicate internal features of heat pipe condensers within an evacuated tube solar collector, and its significance is to provide a comprehensive understanding of flow and thermal behaviour in …

Structural Attributes Of Dominant Seagrass Species Modulate Invertebrate Assemblages Within The Shark Bay World Heritage Area, Inês Leal, Daniel Gorman, Lauren Mukheibir, Keisha Desmond, Simone Strydom

Research outputs 2022 to 2026

The structural complexity of seagrass meadows plays a central role in shaping the diversity and composition of associated invertebrate assemblages. In the Shark Bay World Heritage Area of Western Australia, the dominant species Amphibolis antarctica and Posidonia australis differ markedly in their above- and below-ground morphology, yet the invertebrate assemblages they support remain poorly characterised. This study provides the first contemporary assessment of these habitat–invertebrate relationships, a timely contribution given the region’s increasing exposure to frequent and extreme climatic events. We identified 13,124 invertebrates from 7 phyla, 16 classes and 55 orders/families and highlight marked differences between epifaunal assemblage structure …

The Role Of Simulator Immersion On Learning And Transfer Of Decision-Making Skill In Sport, Zachariah G. Hoyne, Khaya Morris-Binelli, Sean Müller, Benjamin Piggott, Paola Chivers, Evan Dekker

Research outputs 2022 to 2026

Virtual reality has become popular in sport and other domains because it can immerse the user within a sporting context and solve logistical problems for additional off-field training. There is limited evidence, however, of whether immersion is crucial for learning and transfer. This study compared training of decision-making skill between 360-degree video virtual reality (360VR) and two-dimensional video. Twenty-eight Australian Rules Football players were randomly assigned to one of three training groups: 360VR, two-dimensional video, and control. Across four weeks, participants in the training groups were exposed to decision-making scenarios consisting of visual, contextual and auditory cues. Performance was assessed …

Recommendations From Health Research For Children And Adolescents Living In The Kimberley Region Of Western Australia: A Scoping Review, Lisa Cannon, Elizabeth J. Elliott, Andrew Dossetor, Tracey W. Tsang, Md Irteja Islam, Alexandra L. Martiniuk, Habiba Naanai, Tuguy Esgin, Emily Carter, Lauren J. Rice

Research outputs 2022 to 2026

Background: Aboriginal leaders in Western Australia’s Kimberley region have voiced concern that research conducted on their lands is not being adequately used to inform meaningful change. Objective: This scoping review, grounded in an Aboriginal-academic partnership, identifies the child and adolescent health-related research conducted in the region and summarises the authors’ recommendations for knowledge translation. Methods: Drawing on PRISMA-ScR guidelines, we conducted a comprehensive search of multiple databases for publications between January 1967 and June 2025, focusing on children aged ≤ 18 years. Data extraction was conducted using Covidence, and publications were categorised based on the International Classification of Diseases (11th …

Pooled Proportion And Associated Factors Of Postoperative Pain During The Recovery Time Among Adult Surgical Patients In An Ethiopian Setting With Limited Resources: A Systematic Review And Meta-Analysis, Sintayehu Samuel Lorato, Mitiku Desalegn, Kelemu Abebe Gelaw, Yohannes Godie Ashebir, Olyad Kuma Getahun, Gebeyehu Lakew, Mathewos Mekonnen Gemmechu, Tiruye Menshaw Tiruneh, Yibeltal Assefa Atalay, Amlaku Nigusie Yirsaw, Eyob Ketema Bogale, Natnael Atnafu Gebeyehu, Tewodros Shitemaw Tekoye, Genanew Kassie Getahun, Kedir Seid, Abel Tibebu Goshu

Research outputs 2022 to 2026

No abstract provided.

Women's Experiences Of Menstrual Pain And Perceptions Of Acupuncture: A Qualitative Study, Weiting Liu, Amanda Towell-Barnard, Khui Hung Lee

Research outputs 2022 to 2026

Introduction: Menstrual pain is a common reproductive health concern that can substantially disrupt physical, emotional, and social well-being, yet it is frequently normalised and insufficiently addressed within healthcare encounters. Acupuncture is increasingly used as a complementary approach for menstrual pain management; however, little qualitative research has explored how women understand, interpret, and navigate this option within their menstrual care.

Methods: A qualitative descriptive study was conducted using four online focus groups with 14 women aged 19–46 years residing in Australia who self-reported primary dysmenorrhea. Participants were purposively sampled from respondents to a previous cross-sectional survey study who had indicated willingness …

Navigating Study Demands In First-Year Midwifery Education: Mixed-Methods Insights From Students, University Lecturers And Clinical Mentor Midwives, Chantal Soyka, Julia Berger, Dorothee Herrmann, Ruth Martis, Claudia Plappert, Niclas Schaper, Martina Schlüter-Cruse, Dorothea Tegethoff, Marina Weckend, Mechthild M. Gross

Research outputs 2022 to 2026

Aim: To examine:(1) study-related demands faced by first-year midwifery students; and (2) support provided to help them cope with demands.

Background: The recent national transition from vocational training into tertiary midwifery education in Germany resulted in a new teaching environment and adjusted clinical placement settings. Capacity building at tertiary level enabled innovative services to foster supportive learning environments for midwifery students, including processes for onboarding. However, little is known about students’ perceived challenges during this time.

Design: Convergent mixed-methods study.

Methods: An online survey of 304 first-year direct-entry midwifery students from 31 German higher-education institutions and semi-structured interviews with lecturers …

Midwifery Student Attrition In Australia: A Scoping Review, Terri Downer, Tanya Capper, Olav Muurlink

Research outputs 2022 to 2026

Problem: Global literature suggests that attrition rates from entry-to-practice midwifery programs are increasing. However, little is known about student attrition in the Australian context.

Background: Australia faces a growing midwifery shortage, prompting calls to increase program enrolments. Evidence from the United Kingdom shows high and rising attrition in entry-to-practice programs. In Australia, the scale of midwifery student attrition and the factors influencing it remain largely underexplored.

Aim: To identify and synthesise existing Australian literature on factors influencing midwifery student attrition.

Methods: A search of PubMed, Medline, CINAHL Ultimate, Embase, MIDIRS, EBSCO, and Google Scholar databases was conducted with key data …