Multimedia, Volume 2, Issue 1 (March 2026) – 4 articles

The lack of accessibility in digital gaming platforms remains a significant barrier to equitable user participation. To address this issue, this article presents an inclusive solution developed as a multimedia project designed to promote access to digital games for any user through the ipcb.games platform. The platform offers features that enhance accessibility, including voice-based authentication, voice-assisted registration, facial recognition, visual and auditory feedback, and a simplified interface. It also enables users to submit their own games for subsequent approval and integration. The development process followed a multimedia project methodology, structured into phases of analysis, planning, design, production, testing, and validation. The proposal was informed by a systematic review of scientific literature on digital inclusion and accessibility, complemented by a comparative analysis of existing platforms. During usability testing, the platform was evaluated by approximately 50 teachers from different educational levels, who provided highly positive feedback. Future work includes implementing voice-controlled gameplay, enabling keyboard-based navigation, re-implementing a functional eye-tracking system, and creating pedagogical groups, further strengthening the platform’s role in educational contexts. Full article

This paper aims to study how heutagogy relates to multilingualism and distance education regarding augmenting learner autonomy, meta-linguistic awareness, and overall learning objectives. As such, in our modern age, pedagogical models have shifted their focus and promote self-regulation and flexible learning of students, focusing on broad principles such as andragogy and heutagogy. This means that the weight is shifted over the trainee to the trainer to actively co-create knowledge that aligns with his/her objectives while using modern tools and processes such as distance learning environments and other digital resources. Our article reviews international publications from 2020 to 2025 to provide a more recent and modern approach and highlights findings from approximately 40 key publications that explore the application of heutagogical and self-determining core values in multilingual online learning. The results of our study were generated based on some preset criteria that aimed to measure the degrees of autonomy and intrinsic motivation, evaluate metacognitive and metalinguistic development, and assess the contribution of technological advancements such as MALL tools, AI, and digital learning ecosystems. Finally, the challenges faced in our study suggested limitations in terms of digital inequality, learning readiness, and difficulties in educators’ training. All the above can be tackled by the heutagogy model in distance multilanguage education when and if supported by the necessary cultural awareness, pedagogical strategies, and most importantly, technological training and infrastructure of all participating parties. Full article

Effective signaling in instructional materials—through cues such as highlights, arrows, and annotations—can guide learner attention, reduce cognitive load, and enhance comprehension in multimedia-rich online courses. While the benefits of signaling are well documented, little is known about how combinations of signaling strategies influence both the average performance and the consistency of student outcomes. In this study, we propose a data-driven approach to evaluate and optimize signaling strategies in online teaching. Using lecture materials from three semesters of introductory and intermediate statistics courses, we extracted multiple features of textual and visual signaling, including highlighted words, annotated formulas, arrows, and notes. Principal Component Analysis identified four distinct signaling strategies employed by the instructor. We then applied a heteroscedastic beta regression model to link these strategies to topic-level exam performance, allowing simultaneous assessment of mean learning outcomes and their variability. Results show that strategies combining formula highlighting with arrows and detailed notes improve both the average proportion of successful learners and the stability of outcomes, while relying solely on formula highlighting increases variability. Our findings provide actionable guidance for instructors to design effective signaling strategies, and demonstrate a flexible framework for data-driven evaluation of teaching practices in online learning environments. Full article

This study presents a production-ready AI pipeline for audio content processing, implemented within the Youth Radio platform, which serves as an extension of the European School Radio initiative. The system uses a multi-server architecture: an AI Server that runs batch/offline jobs, orchestrated by Apache Airflow, and two Web Servers that deliver all the Backend as well as the Frontend applications, configured with load balancing and redundancy to ensure high availability and fault tolerance. The implemented AI Pipeline includes tasks such as preprocessing, transcription, audio classification and topic modeling. Processed Podcasts are indexed in a Qdrant vector database to facilitate both dense and sparse retrieval while a recommendation system enriches the user’s experience. We summarize design choices and report system-level metrics and task-level indicators (ASR quality after correction, retrieval effectiveness) to guide similar deployments. Full article