Smart Learning

Artificial intelligence applied to the educational field has a vast potential, especially after the e ects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed to respond to the health situation we are living in. The tutorial e ort is higher than in the traditional face-to-face approach. Thus, educational systems are claiming smarter learning technologies that do not pretend to substitute the faculty but make their teaching activities easy. This Special Issue is oriented to present a collection of papers of original advances in educational applications and services propelled by artificial intelligence, big data, machine learning, and deep learning

Intelligent Tutoring Systems and Planning Tecniques: A Systematic Review

Planning is a problem-solving method that produces an action sequence (i.e. plan) to achieve a goal. Instructional Planning is a central issue to develop adaptive educational software and Intelligent Tutoring Systems. The objective of this paper is to conduct a systematic review of planning techniques used in ITS in the last twenty years. In this review, 969 papers in 6 digital reference libraries extensively used by computer science researchers were identified. After a selection process using the inclusion and exclusion criteria, 20 relevant papers were chosen. The results present the existence of a relevant research gap. Among the retrieved papers, no document which uses Goal Reasoning-based planning techniques was found, and more specifically, no system that use the process of autonomy based on goals.Planning is a problem-solving method that produces an action sequence (i.e. plan) to achieve a goal. Instructional Planning is a central issue to develop adaptive educational software and Intelligent Tutoring Systems. The objective of this paper is to conduct a systematic review of planning techniques used in ITS in the last twenty years. In this review, 969 papers in 6 digital reference libraries extensively used by computer science researchers were identified. After a selection process using the inclusion and exclusion criteria, 20 relevant papers were chosen. The results present the existence of a relevant research gap. Among the retrieved papers, no document which uses Goal Reasoning-based planning techniques was found, and more specifically, no system that use the process of autonomy based on goals

Sistemas Tutoriales Inteligentes : Un análisis crítico

El presente Trabajo Final tiene por objetivo describir los Sistemas Tutoriales Inteligentes (STIs) y realizar un análisis crí tico de sus fortalezas y debilidades. Para alcanzar tal fin, se describirá la arquitectura tradicional de los STIs, se delinearán teorías de aprendizaje e instruccionales que provean el marco conceptual a estos sistemas y se presentarán herramientas de diseño. Asimismo, se analizarán las características principales de estos sistemas, focalizando el problema de su adaptación a los estudiantes.Facultad de Informátic

AI ethics and higher education : good practice and guidance for educators, learners, and institutions

Artificial intelligence (AI) is exerting unprecedented pressure on the global higher educational landscape in transforming recruitment processes, subverting traditional pedagogy, and creating new research and institutional opportunities. These technologies require contextual and global ethical analysis so that they may be developed and deployed in higher education in just and responsible ways. To-date, these efforts have been largely focused on small parts of the educational environments leaving most of the world out of an essential contribution. This volume acts as a corrective to this and contributes to the building of competencies in ethics education and to broader, global debates about how AI will transform various facets of our lives, not the least of which is higher education