Learning Experience Research Articles

Abstract Su1105: Healthcare Students' Attitudes on Adult Basic Life Support Training via Virtual Reality: An Exploratory Study

Introduction: Adult Basic Life Support (BLS) is a crucial skill for healthcare professionals. In recent years, the use of immersive technology, such as virtual reality (VR), has increased in educational research projects. However, published data have yet to show significant advantages over traditional methods for BLS education. Research Question: Does providing adult BLS content through VR fit the new generation of healthcare students? Goal: To assess student perspectives after a novel BLS educational program involving an interactive 360° VR environment. Methods: In June 2024, the Faculty of Health Sciences at the University of Maribor (Maribor, Slovenia) hosted 24 healthcare students from the University of Pittsburgh (Pittsburgh, USA) for an interactive 360° video-based VR adult BLS training session. The training employed Meta Quest 3 headsets (California, USA), featuring an adult BLS scenario developed by the Faculty of Health Sciences at the University of Maribor called InTECHiE360. After the VR training, the students completed a 21-question Likert scale questionnaire to evaluate their experiences, with a rating of 1 indicating "totally agree", and a rating of 7 indicating "totally disagree". Prior to the study, participants provided written consent, and data were collected anonymously to ensure confidentiality. Results: A total of 21 participants, with a mean age of 20 years (SD±0.7), took part in our study. The majority were female (17/21; 81%) and medical students (12/21; 57%). Most participants (16/21; 76%) had previously used VR, primarily for recreational gaming, rather than for educational purposes. The participants strongly agreed that the VR experience made them feel physically present in the adult BLS training session (mean score 1.9; SD±0.8), was realistic (mean score 2.0; SD±0.9) and provided a better learning experience compared to traditional lectures (mean score 1.5; SD±1.0). They also felt that they learned something new about adult BLS through the VR training (mean score 1.6; SD±1.1) and that adult BLS content was well presented in VR (mean score 1.4; SD±0.6). None of the participants experienced cybersickness, such as nausea or dizziness, and all of them would recommend this VR experience. Conclusion: We developed an interactive, immersive, evidence-based educational tool with a low risk of cybersickness, designed to appeal to the current generation of healthcare students and enhance their cognitive, behavioral, and affective learning outcomes.

Practical tips for teaching medicine in the metaverse

The metaverse is based on immersive technologies such as virtual and augmented reality, body tracking, tactile sensation, etc. A growing number of studies are demonstrating the potential of the metaverse as an attractive resource for learning medicine. However, in practice, medical teachers and students often encounter significant challenges when utilizing the underlying technologies, potentially leading to frustrating learning experiences. A significant part of the teaching time is often devoted to troubleshooting technical issues with the metaverse, and the medical content itself taking a backseat until students become proficient in navigating the metaverse environment. Therefore, it is essential to fit the metaverse's underlying technologies specifically for medical education, minimizing technical hurdles for both teachers and students. In this paper, we deal with this challenge and we present a collection of practical tips that serves as a guide for medical educators making decisions in this emerging field, where they may lack prior experience. Drawing on our observation with a cohort of 776 medical students, we conclude how to effectively identify, design, or implement educational applications tailored for efficient medical learning through the metaverse. Our work may support teachers considering metaverse learning platforms for their classrooms and it is a beneficial reference for the medical education community during the initial stages of implementing the metaverse for teaching.

Examining students’ learning experiences in hybrid environments

In the aftermath of the pandemic, a generation of students who are comfortable with learning online and prefer having the autonomy to decide how they want to learn – in-person or remotely – has emerged. Hybrid learning, where teaching instruction is given to students in different spatial settings at the same time, is a modality that has the potential to deliver stimulating learning experiences to support diverse learning needs. The experiences in various forms of learning – in-person, fully online and hybrid – have exposed students to various modalities of learning and access to resources. However, the absence of physical presence and the lack of feedback from remote students has caused lecturers to be uncertain of the effectiveness of hybrid lectures and tutorials. Thus, understanding students’ learning and their considerations when determining their preferred modality will provide lecturers with clear strategies for supporting students. This qualitative study aims to examine students' learning experiences in a research-intensive public University in New Zealand university. The study was guided by the following questions: (i) What are students’ perceptions of learning in a hybrid environment?; and (ii) How do students learn in hybrid environments? In-depth interviews with 15 students who have experienced hybrid education in a research-intensive public university in New Zealand was conducted using a descriptive case study. Three categories that described students’ considerations and dispositions towards learning in hybrid environments, and how various conditions and resources within their learning environment influenced their behaviours emerged. Preliminary findings found that students’ dispositions towards learning were critical factors that contribute towards their behaviours in a hybrid environment. Unlike traditional conceptions of teaching and learning, hybrid education requires students to be active participants in their learning and take charge of their own learning in aspects such as deciding how they best learn. Despite minimal social and physical interaction with lecturers and their peers, students found hybrid learning to be effective. Interviews with students who had experienced hybrid education highlighted perspectives that differed from previous studies. Remote students showed willing and drive to excel in their studies despite being disconnected from their peers in the physical spaces, and did not feel that they had less of a learning experience. This finding echoes that of Zhong et al., where social presence was not found to be significantly related to learning persistence. Students found having immediate access to information and lecturers to be more important than whether they could communicate and interact with other in-person classmates. The study recommends strategies lecturers can employ to improve teaching practices in hybrid environments. This includes ensuring all materials are digitally captured synchronously and having a student partner to monitor questions or teaching assistant to address questions the chatroom will help remote students greatly. Further analysis of the current data will take a closer look at how students’ dispositions play a part in students’ engagement levels and their behaviours in hybrid environments.

Exploring spatial influences in feedback for international students

Space is a significant factor for teaching and learning (Goodyear & Carvalho, 2019), but it is comparably underexplored in the higher education (Ellis & Goodyear, 2016). Learning spaces have become hybrid in the post-pandemic period in higher education with physical locations having digital extensions and vice versa (Ellis & Goodyear, 2018), which allows more flexible study modes and access to richer study resources. In addition to having material properties which physically promote or prevent student engagement, space is also a social product with relational and structural aspects, which could shape social relationships and moreover, reflect or promote existing inequalities amongst students (Wong, 2024). Space may therefore impact on students’ learning experiences, including within feedback encounters. Feedback is a significant aspect of students’ learning experiences in higher education. It is well acknowledged that feedback is important for students’ learning and graduate outcomes (Hattie & Clarke, 2018). Feedback encounters, such as supervision meeting and placements, could provide valuable feedback opportunities with the characteristics of immediate and frequent dialogues. However, spatial factors could affect these feedback encounters positively and negatively (Gravett, 2022). For example, many students perceive academic office as a scary space to seek feedback (Gravett & Winstone, 2019) while in comparison, online discussion boards are perceived as more flexible and equitable spaces for feedback engagement (Zhou et al., 2023). Since little is known about students’ experiences of feedback spaces and how spatial factors affect feedback, it is important to explore students’ feedback experiences in the hybrid feedback spaces. International students are a cohort for whom feedback spaces are particularly important. They often experience relocation to the new learning spaces in different cultural contexts, and are likely to be unfamiliar with material and social perspectives of the spaces (Dai et al., 2018). Therefore, they might feel disrupted and anxious at the initial stages of their feedback encounters, which could lead to the effectiveness of these valuable feedback. Since international students make great social and economic contributions to Australia, to promote more equitable feedback experiences for those students, it is important to understand their feedback experiences in the feedback spaces, to inform co-design of inclusive and supportive feedback spaces. This poster will offer an overview of preliminary findings of a review study. The review has two research questions: 1. How has space has been incorporated as part of existing feedback models in higher education, across situated, hybrid, and digital learning situations? 2. How do feedback models account for the particular situations of international students? This work has implications for future theoretical and empirical studies about feedback and feedback spaces. This research has the potential to enrich theoretical understandings of feedback and space research in higher education. Findings from this study could also enrich the literature regarding international students and provide practical strategies for supporting international students’ acculturation. In addition, the study could give implications to education institutions about how to create inclusive and supportive hybrid learning environments, which could significantly enhance the student experience and learning outcomes.

The Innovative Smart Green Campus as Life-Based Learning Characteristics of Future Learning Efforts to Complete the SDG's

Objective: This study examines the application of the Smart Green Campus idea in higher education, focusing on its contribution to sustainability and experiential learning. Theoretical Framework: The study is founded on theories of sustainability, intelligent campus design, and experiential learning. These frameworks thoroughly comprehend integrating green technologies and experiential learning within educational settings. Method: This research employs a qualitative methodology, utilizing case studies of colleges executing Smart Green Campus programs to collect data. Data were collected via literature analysis, campus observations, and interviews with principal stakeholders. Results and Discussion: The results indicate that Smart Green Campus programs enhance students' environmental awareness and skill acquisition. Green technologies, including energy-efficient structures and sustainable transportation, promote an interactive learning atmosphere. Nonetheless, problems like financial expenditures and opposition to change are acknowledged. Research Implications: This study presents practical and theoretical implications by illustrating how Smart Green Campus initiatives can serve as examples of education aligned with the Sustainable Development Goals (SDG 6). The study emphasizes how universities can implement sustainable methods to improve environmental and educational outcomes. Originality/Value: This study enhances the literature by offering novel insights into the Smart Green Campus idea and its practical implementation. Its significance resides in providing a novel educational framework that equips students to address sustainable development challenges and must ensure the availability of clean water and sanitation as stated in SDG 6.

The Learning Wave

Today’s learners are immersed in engaging virtual activities such as video games, social media, and streaming services. These platforms set high expectations for user engagement, providing experiences that are user-centred and intrinsically motivating. Online learning must now compete with these digital environments for learners' attention, necessitating a transformation in its approach to increase retention and satisfaction. The Learning Wave is a novel Learning Experience Design framework that addresses this challenge by two key psychological theories: Self-Determination Theory (SDT) and Flow Theory. SDT, developed by Deci and Ryan (2000), posits that intrinsic motivation is driven by three psychological needs: autonomy, competence, and relatedness. Flow Theory, introduced by Csikszentmihalyi (1990), is a highly functional state helping learners boost their academic performance through immersion in the activity and provides incentives for personal growth (Rodriguez-Ardura & Meseguer-Artola 2016). By applying these theories, The Learning Wave generates learning experiences that positively impact learning behaviour through enhanced engagement and motivation. The framework applies strategies from digital and serious games, combining them with storytelling techniques and instructional design models to create a modern pedagogical approach to the design of online courses. At its core, The Learning Wave utilises a three-phase pattern: learn, reflect, and challenge. This structure enables learners to progressively build understanding, review and reflect on their learning, and apply their knowledge and skills to real-world scenarios. The framework employs Semantic Waves (Maton, 2013) as a construction methodology, ensuring a thoughtful progression of the learner from basic understanding to advanced application of concepts, and facilitating the creation of Flow states by gradually increasing complexity to match learner skill development. Complementing the learner experience is the use of storytelling. By incorporating narrative elements, the learning experience is enriched with contextual depth, diverse perspectives, and emotional engagement, factors known to enhance retention and application of knowledge (Landrum et al., 2019). This approach also supports the relatedness aspect of SDT, fostering a sense of connection to the learning material. As a visual tool, The Learning Wave allows instructional designers to map out the entire learning experience, illustrating how learners progress through different phases. It incorporates a series of learning moments, points of reflection, and challenge events, charting the learner's journey from novice to competent problem-solver. The framework's flexibility accommodates both high-level designs and intricate, complex experiences. The Learning Wave has been incorporated as the foundational pedagogy in the development of twelve postgraduate microcredentials at Western Sydney University, with qualitative and quantitative feedback showing learners are motivated and more confident with the knowledge and skills they are developing. Further analytics, articles, case studies, and publications are forthcoming. This poster presentation demonstrates how The Learning Wave framework transforms online learning. It showcases the 3-stage pattern, alignment with storytelling techniques, and process of gaining strategic knowledge through information deconstruction and reconstruction. It highlights how this approach, grounded in educational theories and modern engagement techniques, can enhance learner motivation, improve knowledge retention, and lead to more effective online educational experiences in our digital world.

Innovative Digital Learning

This poster highlights the effective use of learning technologies like animation, generative AI tools, and immersive reality to create digital learning and assessment artifacts for university nursing students. The purpose is to deliver a high-quality digital learning experience aligned with the university's pedagogy and education plan. It also showcases accessible, inclusive digital artifacts and early evaluations of their impact on learning. Animation technology is at the forefront of creating engaging educational content. By using animation, complex concepts can be shown in a visually appealing and easily digestible manner, making learning more engaging for students (Liu & Elms, 2019). It also allows for dynamic storytelling and the illustration of abstract ideas, which can be particularly beneficial in concepts that are challenging to visualize (Rasmusson & Bourne, 2017). Generative AI plays a pivotal role in developing scripts for these educational animations. Leveraging AI, we generate content tailored to learners' needs and optimized for clarity and engagement. Though AI-generated, our academic team thoroughly edits and revises the scripts to be clinically representative of the topic covered. This AI-driven script development ensures efficient collaboration with academics, resulting in accurate, relevant, and pedagogically sound material. (ProQuest LLC, 2024). Using cutting-edge animation and generative AI technologies can create impactful nursing education materials that boost student engagement. (White, Huang, & Campanale, 2023) and facilitate learning outcomes (Huang et al., 2020). These activities are anchored in the university’s signature pedagogy—active, applied, and authentic—immersing students in educational content and inspiring them to apply their knowledge and skills in real-world scenarios presented through animated learning activities. In addition, immersive reality technologies, including Virtual Reality (VR) and Augmented Reality (AR), further enhance the educational experience. By incorporating AR and VR as additional resources to complement the animations, we create immersive environments where students can interact with the material in a hands-on manner. This not only can make learning more engaging but can also help students better understand and retain complex concepts through experiential learning (Tene et al., 2024). A digital learning developer collaborated with the academic team to create an augmented reality-based artifact for nursing students. Integrated into Canvas our institution’s learning management system this artifact presented difficult topics in three dimensions with the aim of effectively explaining concepts and enhancing student engagement. While animation and immersive technologies can boost engagement, they can also present inclusivity and accessibility challenges for some students. To facilitateinclusivity and accessibility, we followed digital accessibility guidelines and universal design principles (Ismailov & Chiu, 2022). We evaluated tools like animation, AR/VR, and interactive modules for accessibility, offering alternatives when needed. This approach accommodated diverse learning preferences, making education accessible and inclusive for all students. The environmental impact of adopting these technologies is a significant consideration. Digital tools can reduce the need for physical materials and decrease travel-related emissions, making education more sustainable. The early assessment of the digital learning materials, incorporating animation, AI, and immersive learning technologies, reveals promising results in enhancing student engagement. These materials cater to various learning preferences reflecting insights from the academic team.

Navigating the Virtual Environment

In the ever-evolving landscape of higher education, the intersection of learning spaces and technology presents unprecedented opportunities to enhance student experiences. This poster highlights the effective use of 360-degree technology to create immersive digital learning experiences across various STEM disciplines in an Australian University. This poster demonstrates the implementation of Universal Design for Learning (UDL) principles in virtual laboratory tours. Our 360-degree virtual tours embody UDL's core principles (Meyer et al., 2014) by offering multiple means of engagement through immersive experiences, representation via diverse media formats (textual overlays, audible descriptions, graphical elements, and interactive hotspots). By adhering to digital accessibility guidelines (Ismailov & Chiu, 2022), it ensures that our virtual laboratory inductions cater to a wide range of learning preferences and needs, potentially enhancing the effectiveness of STEM education for diverse student populations. Traditional induction processes are often delivered face-to-face, facing challenges like time constraints, safety concerns, and limited accessibility. The COVID-19 pandemic has further highlighted the need for flexible, remote learning solutions (Rapanta et al., 2020). 360-degree virtual tours overcome barriers by immersing students in a digital environment, allowing them to become familiar with procedures before entering physical space (Tan & Tan, 2021). This technology also supports dynamic learning environments, enhancing teaching effectiveness and student engagement (Christopoulos et al., 2018). The effectiveness of 360-degree virtual tours has been demonstrated across various areas, from hospitality education to construction safety training (Pham et al., 2018; Patiar et al., 2017). Virtual tours offer numerous benefits, including cost-effectiveness, accessibility, and enhanced engagement. They also support authentic, experiential learning without time or location constraints, potentially improving knowledge retention and attitudes toward learning (Cardona et al., 2023). A key benefit of 360-degree technology is its web-based implementation, making experiences accessible across a wide range of devices and operating systems. While implementation may require some initial investment in hardware and expertise, the availability of consumer-grade tools and simple workflows makes adoption increasingly feasible for educators (Tan & Tan, 2021). This poster outlines the process of developing, implementing, and evaluating 360-degree virtual tours. The development phase began with the implementation of virtual tours in ten laboratories with large enrollments. Using specialised cameras (Insta360 X3), we captured spherical photographs of these laboratories, allowing students to virtually explore as if physically present. To enhance interactivity and educational value, we integrated various elements such as hotspots, videos, and quizzes using SharePoint Space and H5P platforms. The implementation phase involved incorporating these virtual tours into the online laboratory induction process. We seamlessly integrated the tours with existing course management systems to ensure easy access for students. For evaluation, we focused on qualitative assessment methods to gain insights into student experiences and perceptions on aspects such as ease of navigation, perceived realism, and overall utility of the virtual tours. This assessment was conducted through surveys and informal discussions, offering valuable feedback on the virtual tours' effectiveness in preparing students for physical laboratory work.

Integrating Multimodal Generative AI Technologies in Postgraduate Marketing Education

While industry practices evolve rapidly, marketing education in Australia and New Zealand faces challenges in keeping pace, particularly regarding the adoption of current marketing technologies (Harrigan et al., 2022). Generative AI, exemplified by systems like ChatGPT and DALL·E, has demonstrated benefits for learning (Baidoo-Anu & Ansah, 2023). However, despite its potential, there remains a dearth of practical guidance on effectively incorporating these technologies into marketing courses. This gap persists even as general frameworks for responsible and ethical AI use, such as the Australian Framework for Generative AI in Schools (2023), emerge. As the demand for graduates with generative AI skills grows in the job market, educators must explore innovative pedagogical approaches to bridge this gap. This academic poster presents an innovative application of generative artificial intelligence (GenAI) in the context of teaching digital marketing at the postgraduate level. Its purpose is to bridge the gap between academic theory and industry practice by encouraging educators to integrate AI tools into their curriculum through experiential learning pedagogy (Kolb, 2014), characterized by a learning process whereby knowledge is created through hands-on experiences. The poster exemplifies how various types of GenAI technologies — specifically text-based, image-based, and video-based — can enhance teaching content, tutorial exercises, and assessments within the digital marketing course. The poster showcases examples of how these GenAI tools are integrated in the course content, to guide students in generating innovative ideas for using AI in marketing to gain a competitive edge: Text-based GenAI: Tools like ChatGPT and Gemini can automatically generate search keywords for search engine marketing. By integrating text-based GenAI tools with established marketing technology (MarTech) tools such as Google Ads and Google Ads Keyword Planner, students engage in practical exercises that combine AI-generated initial ideas (e.g., search keywords) with further analysis (e.g., search volume, click-through rates, and bidding costs) using established MarTech tools. This hands-on approach enhances their learning experience and prepares them for real-world applications. Image-based GenAI: Platforms such as DALL·E, Midjourney, and Stable Diffusion enable the creation of custom images for display advertising, enhancing visual communication in marketing materials. Through experiential learning activities, students can explore ideas, seek unusual combinations, and inspire creativity faster with image-based GenAI tools, resulting in a greater variety of display ad materials. Video-based GenAI: Applications like Sora and Synthesia facilitate the production of short video clips suitable for social media marketing (e.g., YouTube Shorts, TikTok). By engaging in dynamic content creation exercises, students learn to streamline content creation, reduce manual work, and save both time and budget, thereby gaining practical skills in social media marketing. By incorporating these GenAI technologies through experiential learning pedagogy, educators can enrich the learning experience, foster critical thinking, and prepare students for the evolving landscape of digital marketing. Future research can study the use of GenAI in marketing education using theoretical frameworks such as the Unified Theory of Acceptance and Use of Technology (Venkatesh et al., 2016).

Reflection and self-efficacy for clinical skills.

Clinical skills are fundamental to medical school curriculums and typically introduced within the preclinical years. In their experiential learning, students' self-efficacy, or the belief in their ability to succeed, is an important factor in influencing clinical skill mastery. Reflection is thought to affect self-efficacy; however, its exact impacts remain largely unexplored within published literature. This mixed methods study investigated whether preclinical students' engagement with reflection affected self-efficacy for clinical skills. Two hundred seventy-three of the 289 preclinical medical students who were invited to participate responded to this 2022 study. We used validated questionnaires to measure engagement with reflection and perceived self-efficacy for clinical skills, conducting hierarchical multiple linear regression for analysis. Thirteen students participated in semi-structured interviews and focus groups, which were analysed via thematic analysis. While statistical analysis showed no significant effects of engaging with reflection on clinical skill self-efficacy, thematic analysis suggested that students perceived the opposite. The themes through which reflection affected self-efficacy were by 'evaluation of performances' against expected outcomes, 'familiarisation and understanding of skills', by 'transforming personal mindsets' and allowing students to 'connect to their emotions'. This study suggests that engaging with reflection can positively or negatively affect self-efficacy for clinical skills, depending on students' attitudes towards reflective practice. Solely engaging with reflection is insufficient to alter self-efficacy beliefs and should be considered alongside personal factors including the individual's mindset and perceived need for reflection. The medical educator's role in facilitating reflection is important, enabling students to reap the benefits of this practice.

Enriching Educational Landscapes

As an arts educator, I spent a month in Bhutan engaging Bachelor of Education students in project-based learning activities aimed at enhancing creativity, critical thinking, and problem-solving skills. These activities served as a dynamic capstone to their theoretical literacy unit. I documented students' collaborative efforts and creativity through photos and videos, which have been transformed into eBooks. These resources are now integrated into courses at my Australian university, enriching learning experiences for our culturally diverse student body with authentic examples of cross-cultural project-based learning. The eBooks showcase student outcomes and offer reflective analyses to inform future teaching practices, inspiring innovative and collaborative learning strategies globally. Moreover, these resources contribute to the university's commitment to global education and cultural diversity, demonstrating how experiential learning can transcend geographical boundaries and enrich the educational journey of students promoting global citizenship. To address a broader audience within Bhutan, and globally, the lesson plans and resources I developed to deliver the project-based learning activities, are now available on the Artist in Residence Education Program website. This provides an opportunity for any educator to access and adapt these materials to their own contexts. Teaching in Bhutan highlighted how factors like collectivist culture, religious beliefs, and the Gross National Happiness Index support traditional teaching practices and how complex it is to break down traditional teaching practises and encourage valid creative ways learning. The students greatly enjoyed the new activities and even requested additional lessons. It was rewarding to see them realise their potential for creativity and innovation in teaching, enhancing their approach to learning and self-perception as future educators. In conclusion, understanding sociocultural norms in Bhutan offers a wealth of insights that can inspire and inform academic approaches to teaching in countries with traditional forms of education and limited access to resources.

Performance of ChatGPT in emergency medicine residency exams in Qatar: A comparative analysis with resident physicians

Introduction: The inclusion of artificial intelligence (AI) in the healthcare sector has transformed medical practices by introducing innovative techniques for medical education, diagnosis, and treatment strategies. In medical education, the potential of AI to enhance learning and assessment methods is being increasingly recognized. This study aims to evaluate the performance of OpenAI’s Chat Generative Pre-Trained Transformer (ChatGPT) in emergency medicine (EM) residency examinations in Qatar and compare it with the performance of resident physicians. Methods: A retrospective descriptive study with a mixed-methods design was conducted in August 2023. EM residents’ examination scores were collected and compared with the performance of ChatGPT on the same examinations. The examinations consisted of multiple-choice questions (MCQs) from the same faculty responsible for Qatari Board EM examinations. ChatGPT’s performance on these examinations was analyzed and compared with residents across various postgraduate years (PGY). Results: The study included 238 emergency department residents from PGY1 to PGY4 and compared their performances with ChatGPT. ChatGPT scored consistently higher than resident groups in all examination categories. However, a notable decline in passing rates was observed among senior residents, indicating a potential misalignment between examination performance and practical competencies. Another likely reason can be the impact of the COVID-19 pandemic on their learning experience, knowledge acquisition, and consolidation. Conclusion: ChatGPT demonstrated significant proficiency in the theoretical knowledge of EM, outperforming resident physicians in examination settings. This finding suggests the potential of AI as a supplementary tool in medical education.

Designing platforms for digital object-based learning

Over the last decade, object-based learning programs have become a staple of museum collections. These programs encourage and allow patrons to engage with a series of curated objects, offering educational experiences through tactile exploration. Naturally, they are focused on having their audience engage with the physical objects themselves (Chatterjee & Hannan 2016). Applying museological practice and object-based learning in the digital context requires not just presenting digital replica of physical objects, but scaffolding their presentation and platform with purpose, intent, and understanding of the strengths and pitfalls of digital delivery (Beetham & Sharpe 2013; De Kluis, Romp, & Land-Zandstra 2024). As such, digital object-based learning platforms and programs purposefully designed for remote learning and online delivery fill a unique niche in the higher education space and are beginning to come into their own. At Macquarie University, objectbasedlearning.com (an initiative of the Faculty of Arts and stewarded by its Learning Design and Production team) was relaunched in late 2023 following an extensive redesign, with learning designers, academics, and students now working together to provide new remote learning opportunities and experiences for the classroom. This presentation introduces the audience to the refurbished website, explains the ethos behind its redesign with an eye to evolving learning spaces and remote learning, and explores the site’s current and future applications and projects as a case study for designing digital object-based learning. The site was designed with future utility and outreach at its core, offering flexibility in how it presents and categorizes digital objects, and a site layout which reflects the needs of its target audience – schoolteachers. The NSW Stages 5 and 6 Curriculum informs the website’s design, determining how objects are grouped, how users navigate the site, and what information and metadata is prioritized, developed, and displayed. Since its relaunch, the website has been utilized in schools and faculties in NSW to deliver object-based learning experiences and classes. While it is too early to publish on outcomes of the project, early feedback has been positive, and new teaching initiatives have developed around the platform. In 2024, student interns at Macquarie were challenged to develop educational materials, lessons, and workshops which took advantage of the potential of technology-enabled object-based learning. These artefacts were designed to give students a unique object-based learning experience, removing the boundaries of physical distance, financial constraints, and fragility of objects. Moreover, student interns involved in the photogrammetric scanning of objects for the website were themselves enjoying an object-based learning experience, engaging with their materiality and learning how best to present the object in a digital environment.

An innovative gamification tool to enhance intercultural competence and self-efficacy among healthcare professionals caring for vulnerable migrants and refugees.

The growing number of vulnerable migrants and refugees (VMRs) in the European Union presents challenges to healthcare systems, emphasizing the need for enhanced intercultural competence training for healthcare professionals. Educational escape rooms, using gamification-based principles, may offer an innovative solution to improve these competencies. This pilot study evaluates the acceptability and preliminary effectiveness of an educational escape room aimed at improving intercultural competence, self-efficacy, and knowledge among healthcare students and professionals caring for VMRs. A pre-post, single-group pilot study was conducted with 101 healthcare students and professionals, recruited through convenience sampling. Participants engaged in an educational escape room simulating a migratory crisis, designed to foster collaborative problem-solving under pressure. A newly validated questionnaire was administered before and after the intervention to measure changes in intercultural competence, self-efficacy, and knowledge. Paired t-tests were used to analyze pre-post differences, and thematic analysis explored participant feedback on the learning experience and the acceptability of the intervention. Significant improvements were observed in intercultural competence (d = 1.13, p < 0.001), self-efficacy (d = 0.38, p = 0.001), and knowledge (d = 1.19, p < 0.001). Participants reported high engagement, satisfaction, and an enhanced understanding of healthcare challenges related to VMRs. The escape room was deemed acceptable. This pilot study provides evidence of the acceptability and effectiveness of an educational escape room in enhancing intercultural competence, self-efficacy, and knowledge. Further research with larger, more rigorous studies is recommended to confirm these findings and explore scalability.

Data-Driven Teamwork

Group assignments are a staple in higher education, providing opportunities to enhance collaboration and communication skills. However, we frequently encounter grievances related to group work as coordinators of large STEM units (800 students). Our student survey identifies work ethic and communication discrepancies between group members as barriers, often leading to uneven workloads, dissatisfaction, and diminished collaborative learning (Bacon et al., 1999). Common mitigation strategies to address work ethic discrepancies, like group charters and peer evaluations, often prove ineffective, since they could be ignored if not properly followed up or enforced (Chang &amp; Brickman, 2018). Another barrier to group productivity lies in the team formation process itself. Traditional team formation methods – self-selection, random assignment, or instructor-led grouping – each present inherent limitation. Self-selection often results in homogenous groups susceptible to "groupthink" (Janis, 1982), limiting the diversity of thought essential for creative problem-solving. Random assignment, while seemingly impartial, can lead to imbalanced skillsets and an uneven distribution of workload (Bacon et al., 1999). While instructor-led grouping might seem ideal, it is logistically impractical within large cohorts (Decker, 1995). Computer-aided team selection offers a promising alternative. Its automated process streamlines team formation, generates diverse teams, and allows instructors to focus on teaching, despite concerns about increased workload (Cavanaugh et al., 2004). To address these group work challenges, we have developed a multi-pronged strategy integrating computer-aided team selection with a comprehensive follow-up and feedback framework. Our goal is to transform group work from a source of anxiety to a rewarding learning experience. Our approach combines technology with strategic interventions: Computer-aided Team Formation: We utilise Gruepr, an open-source team selection software (Hertz, 2021), to generate groups based on student preferences including work styles and meeting preferences (Cavanaugh et al., 2004). Gruepr integrates seamlessly with our learning management system, Canvas. Structured Communication, Collaboration, and Proactive Monitoring: Regular temperature-check surveys deployed through Canvas allow students to rate their group's progress and workload distribution. This data enables early identification of potential issues. To encourage group dialogue, the aggregated and anonymised outcome is shared with team members Facilitating Peer Feedback and Communication through SRES: The Student Relationship Engagement System (SRES), a learning analytics tool (Liu et al., 2017), was used to communicate aggregated peer feedback to individual group members, encouraging constructive dialogues regarding group progress. Our evaluation compared student performance, feedback, and complaints from the current year to previous years, alongside an estimation of staff workload. Preliminary findings demonstrate a reduction in staff time spent on group formation using Gruepr's automated grouping, highly contingent upon accurate survey design. Complaints, though still reported, were less severe, suggesting that regular temperature checks promoted proactive communication. Importantly, student feedback provided valuable insight, with many groups identifying the need for increased in-person interaction and improved scheduling strategies to accommodate diverse commitments. Our poster will elaborate on these results, showcasing both successes and challenges, and propose a refined workflow to further enhance collaborative learning experiences.

Optimising Healthcare Education with Design-Based Theory

Introduction In complex, and socially dynamic educational systems, traditional research methodologies often fail to connect with everyday practice, creating a need for “usable knowledge” when solving individual and collective education problems (Design-Based Research Collective, 2003). Traditional methods are effective, but do not necessarily uncover the nature of changes to student thinking during an education experience. With this, Design-Based Research (DBR) is a proposed solution that emerges as a pivotal methodology in educational research, as it aims to integrate theories of learning with practical experiences. Seen as a systematic yet adaptable approach, DBR integrates iterative cycles of analysis, design, and evaluation in collaboration with researchers and practitioners within authentic educational settings, (Harrington, 2012; Wang &amp; Hannafin, 2005). This (poster) presentation will describe how DBR was utilised to create a learning environment to improve learning experiences within healthcare education. An analysis of the problem highlighted that healthcare students experienced high levels of anxiety during high-fidelity simulation when asked to perform and treat simulation manikins (Aiello et al., 2023). In part, the main issues relate to a lack of environmental authenticity, resulting in under-stimulation and performance anxiety resulting in over-stimulation. This relates to the Yerkes Dodson stress performance curve and suggests that too little or too much arousal results in poor performance (Yerkes, 1908). The hypothesis therefore was to design a solution for peak performance by increasing environmental authenticity and managing anxiety. Method The hypothesis is conceptualised as a ‘design solution’ rather than an intervention. To provide an authentic learning experience virtual reality environments were developed, and to aid performance anxiety, the centering technique was used. Centering is a visualisation technique that teaches participants to focus on the here and now, reduce negative thoughts, and lower anxiety. Virtual reality scenarios were provided prior to each simulation and included a ward-based environment (nurse students) and a rescue helicopter (paramedic students). The study involved 35 Master of Nursing Science, Entry to Practice student nurses at the University of Melbourne and 33 Bachelor of Health Science, Paramedicine students at Auckland University of Technology and industry experts within nurse and paramedic education. All data was collected for each cohort iteratively in 2023 and 2024 to evaluate and develop the design. Data collection included using the State-Trait Anxiety Inventory as a pre-test baseline to measure general and long-standing anxiety for each participant. Within-test heart rates was recorded on a Polar H10 chest strap to measure an objective physiological response to stress. Post-test participants completed the Competitive State Anxiety Inventory–2R after each simulation to understand subjective anxiety and several focus groups were completed to gain further insight into experiences and perspectives. Discussion and Conclusion This presentation outlines the design characteristics used to support student learning within healthcare education settings. Design-Based Research offers a robust framework to develop and refine educational practices through iterative design and implementation cycles. Early results suggest that both virtual reality and the centering technique impact healthcare learning and the implementation of this approach could lead to long-term resilience and build confidence that maximises potential.

Exploring the utilization and deficiencies of Generative Artificial Intelligence in students’ cognitive and emotional needs: a systematic mini-review

Despite advances in educational technology, the specific ways in which Generative Artificial Intelligence (GAI) and Large Language Models cater to learners’ nuanced cognitive and emotional needs are not fully understood. This mini-review methodically describes GAI’s practical implementations and limitations in meeting these needs. It included journal and conference papers from 2019 to 2024, focusing on empirical studies that employ GAI tools in educational contexts while addressing their practical utility and ethical considerations. The selection criteria excluded non-English studies, non-empirical research, and works published before 2019. From the dataset obtained from Scopus and Web of Science as of June 18, 2024, four significant studies were reviewed. These studies involved tools like ChatGPT and emphasized their effectiveness in boosting student engagement and emotional regulation through interactive learning environments with instant feedback. Nonetheless, the review reveals substantial deficiencies in GAI’s capacity to promote critical thinking and maintain response accuracy, potentially leading to learner confusion. Moreover, the ability of these tools to tailor learning experiences and offer emotional support remains limited, often not satisfying individual learner requirements. The findings from the included studies suggest limited generalizability beyond specific GAI versions, with studies being cross-sectional and involving small participant pools. Practical implications underscore the need to develop teaching strategies leveraging GAI to enhance critical thinking. There is also a need to improve the accuracy of GAI tools’ responses. Lastly, deep analysis of intervention approval is needed in cases where GAI does not meet acceptable error margins to mitigate potential negative impacts on learning experiences.

Assessing the Quality of an Online Democratic Deliberation on COVID-19 Pandemic Triage Protocols for Access to Critical Care in an Extreme Pandemic Context: Mixed Methods Study.

Online democratic deliberation (ODD) may foster public engagement in new health strategies by providing opportunities for knowledge exchange between experts, policy makers, and the public. It can favor decision-making by generating new points of view and solutions to existing problems. Deliberation experts recommend gathering feedback from participants to optimize future implementation. However, this online modality has not been frequently evaluated. This study aims to (1) assess the quality of an ODD held in Quebec and Ontario, Canada, on the topic of COVID-19 triage protocols for access to critical care in an extreme pandemic context and (2) determine its transformative aspect according to the perceptions of participants. We conducted a simultaneous ODD in Quebec and Ontario on May 28 and June 4, 2022, with a diversified target audience not working in the health care system. We used a thematic analysis for the transcripts of the deliberation and the written comments of the participants related to the quality of the process. Participants responded to a postdeliberation questionnaire to assess the quality of the ODD and identify changes in their perspectives on COVID-19 pandemic triage protocols after the deliberation exercise. Descriptive statistics were used. An index was calculated to determine equality of participation. The ODD involved 47 diverse participants from the public (n=20, 43% from Quebec and n=27, 57% from Ontario). Five themes emerged: (1) process appreciation, (2) learning experience, (3) reflecting on the common good, (4) technological aspects, and (5) transformative aspects. A total of 46 participants responded to the questionnaire. Participants considered the quality of the ODD satisfactory in terms of process, information shared, reasoning, and videoconferencing. A total of 4 (80%) of 5 participants reported at least 1 change of perspective on some of the criteria and values discussed. Most participants reported that the online modality was accessible and user-friendly. We found low polarization when calculating equal participation. Improvements identified were measures to replace participants when unable to connect and optimization of time during discussions. Overall, the participants perceived the quality of ODD as satisfactory. Some participants self-reported a change of opinion after deliberation. The online modality may be an acceptable alternative for democratic deliberation but with some organizational adaptations.

Evaluating the impact of place-based education: insights from a river environmental program in Taiwan

PurposeThe current education paradigm is often criticized for fostering human dependence and failing to reduce environmental impacts. This has led researchers to propose alternative approaches. One alternative approach, place-based education, integrates a specific location’s natural and social context into learning experiences. By deepening students’ connection to their surroundings, place-based environmental education aims to enhance students’ sense of interdependence with a place and their place attachment in cognitive and affective dimensions. While widely practiced, its effectiveness remains largely unevaluated, particularly in the East Asian context. The gap hinders the development of impactful pedagogical approaches for educators.Design/methodology/approachThe authors examine a river environmental education program located upstream of Taiwan’s capital, offering a valuable case study within the East Asian context. The program’s design is analyzed, and its impact on enhancing students’ place attachment is assessed through a pre- and post-survey approach.FindingsThe results indicate a substantial increase in students’ place attachment following program participation, particularly pronounced among children with limited prior experience with the river. Importantly, this increase is comparable to or exceeds those observed in similar studies from other regions.Originality/valueThe considerable increase in place attachment observed in this program demonstrates its effectiveness in fostering environmental connections, particularly among children with limited prior experience. The magnitude of the increase might be partially attributable to the interdependent orientation of Taiwanese culture. This suggests that place-based education might yield significant positive outcomes in other non-Western countries with strong interdependent cultural orientations.

More than a repository

The value of a university degree is increasingly under scrutiny, with concerns that technologies such as ChatGPT will diminish the need for distributed scholarly content. The challenges created by technology can also become opportunities, under the right circumstances (Dempere et al., 2023). In this project, we leveraged the emerging Generative Artificial Intelligence (GenAI) to create a chatbot, to enable, rather than diminish, students’ learning. Students enrolled in a capstone research unit of Master of Advanced Practice (by coursework) are required to conduct a research project. Common challenges encountered by students include identification of project topic, digital literacy skills, research methodological knowledge, and research writing skills (Ginns et al., 2009; Li et al., 2019; Qasem &amp; Zayid; 2019; Stagg &amp; Kimmins, 2014). It is imperative to guide students to decide on an area of research that not only matches personal interest but also has clinical relevancy and significance. Delaying the identification of a feasible topic can cause students to experience anxiety and distress related to fear they are unable to complete their project on time (Qasem &amp; Zayid; 2019; Li et al., 2019). This project explored two aims: (1) to harness GenAI (Chatbot) for scalable student learning, and (2) to enrich students’ university experiences by providing a scaffolded research-focussed learning opportunity. The project was guided by the active digital learning pedagogy consisting of student-centredness, formative feedback, constructive alignment and flexible infrastructure (Røe et al., 2022). Using a mixed-method approach, the project had four stages. Stage 1 collated and synthesised former students’ project topics (Year 2014 to 2023). Stage 2 created, tested, and tuned a GenAI topic-bank/chatbot based on the collated 252 project topics from Stage 1. To achieve this, we collaborated with an AI Experience Strategist to create the project topic-bank/chatbot using Azure open AI (GPT-4 with AI Search) via the reactive Amazone web server Amazon. The chatbot was then tested and tuned to ensure consistency search outcomes. Stage 3 implemented the chatbot on the 1st day of semester by posting the link with user guide as learning resource for students, who enrolled into the capstone research project unit. Stage 4 evaluated the chatbot’s usability and effectiveness using a 9-item self-developed survey based on the active digital learning pedagogy (Røe et al., 2022) and a 11-item Bot Usability Scale (BUS) (Borsci et al., 2023). The BUS scale consists of 5 domains focusing on students’ perception of accessibility to chatbot functions, quality of chatbot functions, quality of conversation and information provided, privacy and security, and time responses. Two open-ended questions were used to narratively explore students’ overall experiences and suggestions to improve the chatbot. Our findings showcased students’ early engagement with the unit by interacting with the project topic-bank/Chatbot. This ameliorated the challenges described above, whereby students practised search skills by entering key concept as “prompts” of their area of interest for the prospective project topic. These prompts included specialty, population and/or main concept/variables. Search results of the chatbot facilitated students in identifying project topic and improved overall unit satisfaction and learning experience.