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Comunicació presentada a 4th International Conference (HELMeTO 2022), celebrada del 21 al 23 de setembre de 2022 a Palerm, Itàlia. Social media are offering new opportunities for communication and interaction way beyond what was possible only a few years ago. However, social media are also virtual spaces where young people are exposed to a variety of threats. Digital addiction, discrimination, hate speech, misinformation, polarization as well as manipulative influences of algorithms, body stereotyping, and cyberbullying are examples of challenges that find fertile ground on social media. Educators and students are not adequately prepared to face these challenges. To this aim, the COURAGE project, presented in this paper, introduces new tools and learning methodologies that can be adopted within higher education learning paths to train educators to deal with social media threats. The overarching principles of the COURAGE project leverage the most recent advances in the fields of artificial intelligence and in the educational domain paired with social and media psychological insights to support the development of the COURAGE ecosystem. The results of the experiments currently implemented with teachers and students of secondary schools as well as the impact of the COURAGE project on societal changes and ethical questions are presented and discussed.

Comunicació presentada a 4th International Conference (HELMeTO 2022), celebrada del 21 al 23 de setembre de 2022 a Palerm, Itàlia. The provision of toxic content and misinformation is a frequent phenomenon in current social media with specific impact and risks for younger users. We report on efforts taken in the project Courage to mitigate and overcome these threats through dedicated educational technology inspired by psychological and pedagogical approaches. The aim is to empower adolescents to confidently interact with and utilize social media and to increase their awareness and resilience. For this purpose, we have adopted approaches from the field of Intelligent Tutoring Systems, namely the provision of a virtual learning companion (VLC). The technical system is a browser-based environment that allows for combining a controllable social media space with a VLC as a plugin. This environment is backed by an API that bundles Machine Learning and Natural Language Processing algorithms for detecting and classifying different types of risks. The pedagogical scenarios that are supported by this technical environment and approach range from chat-based dialogues to more complex narrative scripts.

This paper describes the design of an intelligent Multimodal Tutor for training people to perform cardiopulmonary resuscitation using patient manikins (CPR tutor). The tutor uses a multi-sensor setup for tracking the CPR execution and generating personalised feedback, including unobtrusive vibrations and retrospective summaries. This study is the main experiment of a PhD project focusing on multimodal data support for investigating practice-based learning scenarios, such as psychomotor skills training in the classroom or at the workplace. For the CPR tutor the multimodal data considered consist of trainee’s body position (with Microsoft Kinect), electromyogram (with Myo armband) and compression rates data derived from the manikin. The CPR tutor uses a new technological framework, the Multimodal Pipeline, which motivates a set of technical approaches used for the data collection, storage, processing, annotation and exploitation of multimodal data. This paper aims at opening up the motivation, the planning and expected evaluations of this experiment to further feedback and considerations by the scientific community.

As problem-based learning (PBL) is becoming more and more popular, there is also a growing interest in developing and using technologies in the implementation of PBL. However, teachers may have difficulties to design and deliver a pedagogically well-designed and technically smoothly executable online or blended PBL process on their own because they lack appropriate expertise in learning theories and design methods as well as a deeper understanding of the potential affordances of the available technologies. From this premise, we are committed to developing and testing methods and tools to support the design and delivery of online or hybrid PBL processes with high flexibility and a low threshold of usage requirements. This paper presents a technical approach to develop a web-based PBL application that supports both authoring and run-time usage. In comparison with other tools and technical approaches, it is concluded that a combined use of a model-driven approach and semi-structured data management appears to be a promising approach to effectively and efficiently support the authoring, delivering, and execution of design-time and run-time PBL processes. This paper was made possible by NPRP grant # NPRP 5-051-1-015 from the Qatar National Research Fund (a member of Qatar Foundation). Scopus