ECGBL is a mecca for game-based learning researchers, developers and practitioners. It is great to be here again and this time around with two papers based on work carried out in the H2020 Beaconing and Crowd4Roads projects.
Taxonomy of a gamified lesson path for STEM education: The Beaconing approach
Aikaterini Bourazeri, Sylvester Arnab, Olivier Heidmann, Antonio Coelho and Luca Morini
Abstract
21st Century learning focuses on different skills and expertise that learners should develop for a successful life and career, and these are usually organised into four main categories: ways of thinking (e.g. creativity, innovation, critical thinking, problem-solving); ways of working (e.g. communication and collaboration); tools for working (e.g. digital literacy) and living in the world (e.g. citizenship, social responsibility, awareness). Learning should be reshaped to better match these requirements and prepare learners for open societies where learning will be lifelong and based on critical-thinking, cultural awareness, flexibility and adaption to changes. This paper introduces a new approach developed under the scope of the Beaconing project, which aims to contextualise the teaching and learning process, connecting it with problem-based mechanics within STEM (Science, Technology, Engineering and Mathematics). The aim is to provide the missing connection between STEM subjects and real-world interactions and applications, and it is developed with inputs from teachers, researchers, educational experts and industry leaders. The pedagogical foundation is based on problem-based learning, in which active learning is in the centre and learners have to work with different tools and resources in order to solve problems (quests). Teachers facilitate, assess and author pervasive and gamified learning activities (missions). And these quests are gamified in order to provide non-linear game plots. This paper discusses the taxonomy for the Beaconing lesson path, which includes specific categories such as STEM competencies, learning objectives, pedagogical resources, rewards, narratives, game plots, location-based activities and game parameters. The lesson paths developed with the stakeholders will be populated with gamified learning activities such as mini-games, location-based mini-games, location-based activities and physical activities. The lesson paths will scaffold learners through self-directed and independent study, extending the learning experience beyond the classroom settings and complementing existing methods of teaching. The gamified lesson path taxonomy provides the backbone to the Beaconing platform and the associated components. This approach is adoptable and adaptable to various learning objectives.
A Gamified Approach for Facilitating a User-engagement Strategy for Public-Led Collective Awareness Platform for Road Sensing
Samantha Clarke, Sylvester Arnab, Mark Lewis, Luca Morini, Saverio Depriori, Alessandro Bogliolo and Lorenz Klopfenstein
Abstract
Collective awareness is a means by which communities can engage in collective action and crowdsourcing through citizen participation, leading to the accumulation of big data essential for informing decision making and for solving difficult problems. However, engaging a huge number of the general public in a crowdsourcing initiative is a mammoth task. This paper explores the approach implemented by the Crowd4Roads (C4Rs) project, which aims at combining smart sensing, ride sharing and gamification applications to harness collective intelligence for providing open data towards boosting traffic conditions in Europe. Drawing on the theory of gameful/playful successes of using gamification as a motivating and behavioural change tool, Crowd4Roads adopts gamification as an innovative strategy for fostering user-engagement and promoting growth within the projects user acquisition and retention metrics. This paper presents the development approach of the C4Rs’ SmartRoadSense system and the design of the gamified layer that is employed to actively engage a large number of users for the pilot trials of the system. The paper provides a discussion and reflection on the development approach.
Sylvester Arnab 