The Use of Learning Analytics Interactive Dashboards in Serious Games: A Review of the Literature

The learning analytics in serious games, corresponds to a subject in increasing demand in the educational field. In this context, there is a need to study how data visualizations found in the literature are adopted in learning analytics in serious games. This paper presents a Systematic Literature Review (SLR) on how the evolution of studies associated with the use of learning analytics interactive dashboards in serious games is processed, seeking to investigate the characteristics of using dashboards for viewing educational data. A bibliometric analysis was carried out in which 75 relevant studies were selected from the Scopus, Web of Science, and IEEExplore databases. From the data analysis, it was observed that in the current literature there is a reduced number of studies containing the main actors in the learning process, as follows: teachers/instructors, students/participants, game developers/designers, and managers/researchers. In the vast majority of investigated studies, data visualization algorithms are used, where the main focus takes into account only actors, such as teachers/instructors and students/participants

Accessible learning, accessible analytics: a virtual evidence café

Learner accessibility is often thought of in terms of physical infrastructure or, in the case of online learning, guidelines for web design. Learning analytics offer a new set of possibilities for identifying and removing barriers to accessibility in learning environments. This is not simply a matter of designing analytics tools to be more accessible, for example by catering for learners who need extra time to respond, reducing cognitive load, or choosing an appropriate colour palette. When it comes to increasing access to learning opportunities for people with disabilities, solutions must be developed in the field of learning analytics. This workshop is a step towards developing those solutions. It will take the form of an evidence café, a structured event in which participants will be split into groups to discuss technical and pedagogic approaches to accessibility, as well as the barriers faced by disabled students and educators, and the associated challenges faced by those who design and research learning analytics. The intended outcomes of this workshop are to raise awareness of accessible learning and accessible analytics, and to build a community of researchers to lead future development in the area of accessible analytics

An Overview of Self-Adaptive Technologies Within Virtual Reality Training

This overview presents the current state-of-the-art of self-adaptive technologies within virtual reality (VR) training. Virtual reality training and assessment is increasingly used for five key areas: medical, industrial & commercial training, serious games, rehabilitation and remote training such as Massive Open Online Courses (MOOCs). Adaptation can be applied to five core technologies of VR including haptic devices, stereo graphics, adaptive content, assessment and autonomous agents. Automation of VR training can contribute to automation of actual procedures including remote and robotic assisted surgery which reduces injury and improves accuracy of the procedure. Automated haptic interaction can enable tele-presence and virtual artefact tactile interaction from either remote or simulated environments. Automation, machine learning and data driven features play an important role in providing trainee-specific individual adaptive training content. Data from trainee assessment can form an input to autonomous systems for customised training and automated difficulty levels to match individual requirements. Self-adaptive technology has been developed previously within individual technologies of VR training. One of the conclusions of this research is that while it does not exist, an enhanced portable framework is needed and it would be beneficial to combine automation of core technologies, producing a reusable automation framework for VR training

Sorterius: Game-inspired App for Encouraging Outdoor Physical Activity for People with Intellectual Disabilities

People with intellectual disabilities have difficulties in reaching the World Health Organization's (WHO) suggested level of physical activity. Previous research shows that participating in physical activities often is related to self-efficacy in a physical activity setting and personal motivation. As physical activity has significant effects on physical and mental health, this thesis aimed to develop a mobile application that could help people with intellectual disabilities be more physically active. In the process of creating an encouraging and user-friendly mobile application, this project includes literature reviews, meetings with experts in the field, discussions with special education teachers and teachers working with people with intellectual disability, and the author's own experience with this user group. The project relies on guidelines and theory to create a user interface to fit people with intellectual disabilities. This thesis presents a cross-platform mobile application that combines the digital and real world. Using augmented reality, players walk around in the real world looking after digital garbage. As they walk, they will find garbage on the ground and get the option of sorting the garbage in the correct garbage bins. The game's main objective is to look for garbage and throw it in the correct garbage bin. As users progress throughout the game, they earn stars based on their step count while playing the game. Together with family members or assistants, they can add weekly physical activity goals and earn special rewards created by family members or assistants. Usability testing is mainly done on special education teachers, social workers, psychologist, and researchers working with people with intellectual disabilities. It revealed that creating a mobile application focusing on everyday life scenarios can have a potential value for the targeted user group. However, testing also showed that using augmented reality can be challenging. Long-term testing on individuals with an intellectual disability will start in the upcoming weeks in a study conducted by the University Hospital of North Norway (UNN), in collaboration with UiT The Arctic University of Norway

Improving serious games evaluation by applying learning analytics and data mining techniques

Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Ingeniería del Software e Inteligencia Artificial, leída el 15/06/2017. Tesis formato europeo (compendio de artículos)Serious games are highly motivational resources effective to teach, raise awareness, or change the perceptions of players. To foster their application in education, teachers and institutions require clear and formal evidences to assess students' learning while they are playing the games. However, traditional assessment techniques rely on external questionnaires, typically carried out before and after playing, that fail to measure players' learning while it is happening. The multiple interactions carried out by players in the games can provide more precise information about how players play, and even be used to assess them. In this regard, game learning analytics techiques propose the collection and analysis of such interactions for multiple purposes, including assessment. The potentially large game learning analytics data collected can be further analyzed with data mining techniques to discover unexpected patterns and to provide measures to evaluate the effect of fames on their players and assess their learning...Los juegos serios son recursos altamente motivadores y efectivos para enseñar, concienciar, o cambiar las percepciones de sus jugadores. Para fomentar su aplicación en educación, los profesores y las instituciones necesitan pruebas claras y automáticas con las que evaluar el aprendizaje de sus estudiantes mientras utilizan los juegos. Tradicionalmente, la evaluación con juegos serios se basa en cuestionarios externos, realizados normalmente antes y después de jugar, que no miden el aprendizaje de los jugadores durante el proceso en sí. Las múltiples interacciones que realizan los jugadores al jugar pueden proporcionar una información más precisa sobre cómo juegan los jugadores e, incluso, utilizarse para evaluar su aprendizaje. En este sentido, las analíticas de aprendizaje para juegos proponen técnicas para la recogida y el análisis de dichas interacciones con múltiples fines, incluida la evaluación de los jugadores. Los datos (potencialmente numerosos) de las analíticas de aprendizaje para juegos pueden analizarse en mayor detalle con técnicas d minería de datos que permiten descubrir patrones ocultos a simple vista y proporcionar mejores medidas para estudiar el efecto de los juegos en los estudiantes y evaluar su aprendizaje...Fac. de InformáticaTRUEunpu

ATEE Spring Conference 2020-2021

This book collects some of the works presented at ATEE Florence Spring Conference 2020-2021. The Conference, originally planned for May 2020, was forcefully postponed due to the dramatic insurgence of the pandemic. Despite the difficulties in this period, the Organising Committee decided anyway to keep it, although online and more than one year later, not to disperse the huge work of authors, mainly teachers, who had to face one of the hardest challenges in the last decades, in a historic period where the promotion of social justice and equal opportunities – through digital technologies and beyond – is a key factor for democratic citizenship in our societies. The Organising Committee, the University of Florence, and ATEE wish to warmly thank all the authors for their commitment and understanding, which ensured the success of the Conference. We hope this book could be, not only a witness of these pandemic times, but a hopeful sign for an equal and inclusive education in all countries

Technology in the educational processes of basic education in Peru

This research project aimed to give a perspective on the implementation of technologies in basic education in Peru. How the automation of basic education processes in Peru helps students, parents, teachers, and administrative staff to reduce time, to have better educational quality, and to obtain indicators for the teacher and student. The methodology of the research is a sequence of activities that allow us to design a framework for process technologies in basic education in Peru. Based on online surveys, it was possible to obtain information from people who want a change in the processes of education, such as: having more reach to information with the help of the internet for which mobile applications or web applications are needed, the delivery of evaluations and enrolment via online, taking advantage of technology for the benefit of the student and teachers, and other processes. The research has a qualitative approach. It is also descriptive in scope with the help of other studies or tests conducted. For the creation of this article, we used surveys, scientific journals, and our own experience as practitioners. If we want to improve education, it is necessary to improve educational processes with the help of technology and the internet.Campus Lima Centr