Diógines Goldoni, Helena Macedo Reis, Mateus Morial Carrascoso, Patricia A. Jaques
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Computational tools to teach and develop socio-emotional skills: a systematic mapping
In an increasingly fast-changing and diverse world, the role of socio-emotional skills has become more crucial. These skills are correlated with academic and professional achievement, healthier interactions, and greater well-being. Contrary to commonly believed, socio-emotional skills are not innate and can be taught and learned. Although there are established and accepted standards and curricula available for socio-emotional learning (SEL), they mainly focus on teacher-led instruction in a regular classroom setting, which brings the extra cost of the necessary support and teachers' training. One alternative is using technological resources to develop these skills. However, an open question is which technologies exist for SEL and what is the evidence of their impacts and benefits. This paper presents a systematic mapping to show how socio-emotional skills are being taught using technological resources. We analysed the results and suggested under-explored areas to develop socio-emotional skills with technology and computational artefacts.
期刊介绍:
IJLT is an international, refereed, scholarly journal providing an interdisciplinary forum for the presentation and discussion of important ideas, concepts, and exemplars that can deeply influence the role of learning technologies in learning and instruction. This unique and dynamic journal focuses on the epistemological thrust of learning vis-à-vis instruction and the technologies and tools that support the process. IJLT publishes papers related to theoretical foundations, design and implementation, and effectiveness and impact issues related to learning technologies. Topics covered include: -Communities of learners (practice), computer-mediated communication -[Social] constructivism, computer-supported collaborative learning -Cognitive tools, intelligent agents, semantic web -Distributed/intelligent learning/tutoring, multimedia/interactive learning environments -Virtual reality environments, human-computer interface issues -Learning objects for personalised learning, building learning communities -Technology-facilitated learning in complex domains -Learning technology systems'' evaluation, technological standardisation -Simulation-supported learning/instruction -Learning technology in education and commerce -Disciplinary-related inquiry, e.g., learning technologies for science inquiry -MOOCs, social media and cloud computing in e-learning -Data analytics and big data in education -E-learning evaluation and content; e-portfolios -Smart education; internet of things/technology adoption and diffusion for learning