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- Method for evaluation and classification of self and co-regulation of learning in immersive narrativesPublication . Bonfim, Cristiane Jorge; Pedrosa, Daniela; Morgado, Leonel; Krüger, Jule; Pedrosa, Daniela; Beck, Dennis; Bourguet, Marie-Luce; Dengel, Andreas; Ghannam, Rami; Miller, Alan; Pena-Rios, Anasol; Richter, JonathonSelf and co-regulation of learning (SCRL) are strategies that students can adopt to become more active and committed to their learning. Encouraging students to adopt these strategies is a challenge for teachers that can be met by using narratives as a teaching resource. To support teachers in this process, we present a method for evaluating, classifying, and reflecting on excerpts from immersive narratives for SCRL, so that you can objectively base your decision when applying the method. The method was developed as an artifact of Design Science Research (DSR). In the Design stage of DSR, a 4-stage scheme was developed, and 38 criteria were described to identify and classify narratives that guide or encourage students to adopt SCRL strategies. In the DSR demonstration stage, we tested the method in an asynchronous e-learning curricular unit (UC) in Portuguese higher education, which uses a narrative-oriented immersive learning approach for SCRL, called e-Sim(Programming). The results show that the graphic visualization of the classification made it possible to perceive the occurrence of the SCRL categories in the narratives, enabling the teacher to be inspired and reflect on the categories to be enhanced for necessary changes in the narrative in line with their pedagogical objectives.
- Describing and interpreting an immersive learning case with the immersion cube and the immersive learning brainPublication . Beck, Dennis; Morgado, LeonelCurrent descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
- Ancient greek technology: an immersive learning use case described using a co-intelligent custom ChatGPT assistantPublication . Morgado, Leonel; Kasapakis, VlasisAchieving consistency in immersive learning case descriptions is essential but challenging due to variations in research focus, methodology, and researchers' background. We address these challenges by leveraging the Immersive Learning Case Sheet (ILCS), a methodological instrument to standardize case descriptions, that we applied to an immersive learning case on ancient Greek technology in VRChat. Research team members had differing levels of familiarity with the ILCS and the case content, so we developed a custom ChatGPT assistant to facilitate consistent terminology and process alignment across the team. This paper constitutes an example of how structured case reports can be a novel contribution to immersive learning literature. Our findings demonstrate how the ILCS supports structured reflection and interpretation of the case. Further we report that the use of a ChatGPT assistant significantly sup-ports the coherence and quality of the team members development of the final ILCS. This exposes the potential of employing AI-driven tools to enhance collaboration and standardization of research practices in qualitative educational research. However, we also discuss the limitations and challenges, including reliance on AI for interpretive tasks and managing varied levels of expertise within the team. This study thus provides insights into the practical application of AI in standardizing immersive learning research processes.
- Immersion for AI: immersive learning with artificial intelligencePublication . Morgado, LeonelThis work reflects upon what Immersion can mean from the perspective of an Artificial Intelligence (AI). Applying the lens of immersive learning theory, it seeks to understand whether this new perspective supports ways for AI participation in cognitive ecologies. By treating AI as a participant rather than a tool, it explores what other participants (humans and other AIs) need to consider in environments where AI can meaningfully engage and contribute to the cognitive ecology, and what the implications are for designing such learning environments. Drawing from the three conceptual dimensions of immersion—System, Narrative, and Agency—this work reinterprets AIs in immersive learning contexts. It outlines practical implications for designing learning environments where AIs are surrounded by external digital services, can interpret a narrative of origins, changes, and structural developments in data, and dynamically respond, making operational and tac-tical decisions that shape human-AI collaboration. Finally, this work suggests how these insights might influence the future of AI training, proposing that immersive learning theory can inform the development of AIs capable of evolving beyond static models. This paper paves the way for understanding AI as an immersive learner and participant in evolving human-AI cognitive ecosystems.
- Participatory design as a co-creation methodology for health literacy games: the case of the TRIO projectPublication . Van Zeller, Maria; Morgado, Leonel; Peçaibes, VivianeThe co-creation of games is a research area that has shown very promising results in identifying technological requirements. It is an approach where the researcher usually adopts the role of a participant observer, guiding the dynamics of co-creation acts. This situation limits the opportunities for replicability of co-creation methods by independent facilitators, which could elucidate the quality and improvement opportunities of these methods, contributing to their more widespread application. In this paper, we present a methodology that aims to overcome this limitation, allowing the replication of co-creation workshops by different independent facilitators. This methodology was conceived in the context of collecting relevant information for the design of an educational digital platform that intends to use gamified resources for adult education in digital health data literacy. Specifically, co-creation workshops were used to gain an overview of the difficulties of different age groups in this area and their perspective on which games would best address these difficulties. The workshops were conducted in five countries with planning oriented so that each country could have a different facilitator, not requiring the presence of the researcher who designed them. The challenge of this planning was to maintain the approach of the facilitators identical in all countries, as best one could. We present here the method adopted through its planning and materials designed for information collection, which included brainstorming using card sorting and game ideation with the use of templates. The analysis of replicability by independent facilitators was done by scrutinizing the produced elements, which allowed us to observe the aspects of coherence and divergence among the various facilitators. Thus, we conclude that this approach is a good starting point to overcome current limitations and identify possible lines of improvement.
- Adaptation and personalization of learning management system, oriented to employees’ role in enterprise context: literature reviewPublication . Santos, Arnaldo; Aplugi, GlóriaIn the digital age, the training in companies can be facilitated through a proper system to the company’s demand. A learning platform personalized to the profile of employees can facilitate the selection of training that tailored to their roles. This research aims to investigate the existence of adaptation and personalization of learning management systems (LMS) in enterprise context, that facilitate the selection of learning’s content suited for employees’ roles. This study focuses on literature reviewto understand the importance of a personalized LMS in company, especially in selection of content that adequate to role of each employee.
- The impact of artificial intelligence on a learning management system in a higher education context: a position paperPublication . Santos, Arnaldo; Manhiça, Ruben; Cravino, JoséThis position paper provides an overview of the most important practices in the field of Artificial Intelligence (AI) used in educational contexts, with a focus on the main platforms used for teaching (LMS) to support the development of a research work at EduardoMondlane University (UEM) in Mozambique. To that end, definitions and descriptions of relevant terms, a brief historical overview of Artificial Intelligence (AI) in education and an overview of the common goals and practices of using computational methods in educational contexts are provided. The state of the art regarding the adaptation and use of Artificial Intelligence is presented and we discuss the potential benefits and the open challenges. The paper also presents the methodology and key steps which will be developed at UEM to achieve the research goals.
- The viability of telesurgery service in the Autonomous Region of the Azores, supported by the 5G NetworkPublication . Gualter Sousa; Santos, Arnaldo5G network technology is considered one of the driving forces behind various societal changes. Among multiple uses, it offers Telesurgery. In situations where the patient needs specialized surgery, but there are no conditions to be transported to where the surgical intervention can be performed, Telesurgery allows access to the procedure with all the security that 5G network technology offers. The Autonomous Region of the Azores (ARA) is considered an outermost region which is an integral part of the EU (despite the thousands of kilometres that separate it from the European continent). Therefore, the EU law applies to these regions with all rights and duties associated. The Support Service to the Displaced Patient (SADD) accompanies annually and under normal conditions an average of more than 1500 patients from the Azores. They travel to the mainland for health reasons. This scenario is applied across islands, where an average of 550 patients moved annually from islands without a hospital to islands with a hospital. As a result, health costs rise in this Region. This paper will use the survey research methodology since it is the most appropriate method when we want to obtain answers/data that express opinions, customs or characteristics of a certain target audience. Therefore, a mixed mode will be used, namely interviews and questionnaires, having as scientific target areas medicine and engineering, in the specialities of gastroenterology and telecommunications, to support the research questions. This paper aims to present research on the viability of Telesurgery in the Autonomous Region of the Azores, supported by the 5G network, as an alternative for travelling patients.
- Personalization of content selection in an enterprise LMSPublication . Aplugi, Glória; Santos, ArnaldoGames with purposes beyond entertainment, the so-called serious games, have been useful tools in professional training, especially in engaging participants. However, their evaluation and, also, their adaptable characteristics to different scenarios, audiences and contexts remain challenges. This paper examines the application of serious games in professional training, their results and adaptable ways to achieve certain goals. Using the Design Science Research (DSR) methodology, a framework was built to develop and evaluate serious games to improve user experience, learning outcomes, knowledge transfer to work situations, and the application of the skills practised in the game in real professional settings. At this stage, the investigation presents a framework regarding the triangulation of data collected from a systematic literature review, focus groups and interviews. Following the DSR methodology, the next steps of this investigation, listed at the end of the paper, are the demonstration of the framework in serious game development and the evaluation and validation of this artefact.
- An initial framework for adaptive serious games based on a systematic literature reviewPublication . Pistono, Alvaro; Santos, Arnaldo; Baptista, RicardoSerious Games have been used in professional training to increase employee engagement and improve the results of training initiatives. This work intends to investigate the influence of game elements, in adaptable Serious Games, according to the users' interactions, on the increase of engagement in the game itself and, as the main goal, on the learning results and the transfer of the acquired knowledge and practised skills to the daily work activities. Using the Design Science Research - DSR methodology, this study aims to develop a framework for the development and evaluation of Serious Games to improve the user experience, the learning outcomes, the transfer of knowledge to work situations, and the application of the skills practised in the game in real professional scenarios. This paper presents an initial Framework for Adaptive Serious Games derived from a systematic literature review. The next steps in this investigation are pointed out following the DSR methodology.