Browsing by Issue Date, starting with "2025"
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- Transformar a educação para a democracia através de aprendizagens estéticas e corporizadasPublication . Juliana Oliveira; Neves, Claudia; Almeida, Ana Patrícia; Abelha, Marta; Abrantes, PedroO projeto "Transforming Education for Democracy through Aesthetic and Embodied Learning, Responsive Pedagogies and Democracy-as-becoming" (AECED) visa transformar a educação para a democracia, enfatizando a aprendizagem estética e corporizada, bem como pedagogias responsivas.
- Recursos didáticos (numa planificação)Publication . Marta Abelha
- Agrupamentos sociaisPublication . Marta Abelha
- Planificação e modos de interaçãoPublication . Marta Abelha
- Avaliação (numa planificação)Publication . Marta Abelha
- Hybrid teaching and learning in higher education: a systematic literature reviewPublication . Gudoniene, Daina; Staneviciene, Evelina; Dieng, Djibril; Degroote, Joël; Butkiene, Rita; Huet, Isabel; Dickel, Jochen; Rocio, Vitor; Casanova, DiogoHybrid teaching, which integrates traditional in-person learning based on students’ perspectives where online learning offers a flexible approach to education, combines the benefits of technology with face-to-face interactions. Moreover, teaching and learning in a hybrid way met several challenges for both teachers and learners, including technological problems, time management, communication difficulties, and assessment complexities. This systematic review investigates six main research questions: (1) What pedagogical frameworks are used in hybrid teaching and learning? (2) How can we enhance students’ engagement in hybrid teaching and learning? (3) What is the impact of technological integration on hybrid learning scenarios, both for students and teachers? (4) How do training and support measures influence the willingness and ability of university teachers to implement hybrid teaching formats? (5) How do formative assessment and feedback methods in hybrid learning environments enable teachers to effectively monitor student progress and provide tailored support? (6) How does the implementation of hybrid learning affect student learning outcomes? This study identifies the following key themes: technological integration, pedagogical innovation, faculty support, student engagement, assessment practices, and learning outcomes. Our contribution of this literature review is related to teaching and learning by showing teachers the most appropriate way to avoid the challenges encountered when teaching in a hybrid way. These include strong technology integration, innovative pedagogical strategies, strong academic development and support, active student engagement, effective assessment practices, and positive learning outcomes.
- 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.
- 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.
- Validation and proposal of a short version of the Motivated Strategies for Learning Questionnaire (MSLQ) for Portuguese adolescent studentsPublication . Morais, Eva; Santos, Anabela; Mouraz, AnaSelf-regulated learning is one of the most relevant learning concepts, representing cognitive, metacognitive, emotional, behavioural and motivational aspects. The Motivated Strategies for Learning Questionnaire (MSLQ) is the most used instrument to measure self-regulated learning. Though, its 81-item structure is lengthy and presents psychometric issues. Additionally, there is no translation/validation of MSLQ for European Portuguese secondary students. This study involved two stages; in the first, the scale’s psychometric properties were examined, and a short version with 56 items was proposed; in the second, the short version was re-analysed. The first sample consisted of 795 adolescents aged 14–19; 429 adolescents formed the second sample, aged 13–17. Confirmatory factor analyses using robust estimators showed a good fit to the data for the three separated first-order models. Also, good reliability values were found, and information reproduction between the original version and this reduced proposal was verified. These results suggest that the proposed Portuguese short version of the MSLQ (MSLQ-PTS) is a valid and reliable measure for adolescent Portuguese samples. Moreover, the shorter version length makes it a more effective tool for practitioners and researchers.
- 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.