An AI-based open recommender system for personalized labor market driven education

Attaining those skills that match labor market demand is getting increasingly complicated, not in the last place in engineering education, as prerequisite knowledge, skills, and abilities are evolving dynamically through an uncontrollable and seemingly unpredictable process. Anticipating and addressing such dynamism is a fundamental challenge to twenty-first century education. The burgeoning availability of data, not only on the demand side but also on the supply side (in the form of open educational resources) coupled with smart technologies, may provide a fertile ground for addressing this challenge. In this paper, we propose a novel, Artificial Intelligence (AI) driven approach to the development of an open, personalized, and labor market oriented learning recommender system, called eDoer. We discuss the complete system development cycle starting with a systematic user requirements gathering, and followed by system design, implementation, and validation. Our recommender prototype (1) derives the skill requirements for particular occupations through an analysis of online job vacancy announcements(2) decomposes skills into learning topics(3) collects a variety of open online educational resources that address those topics(4) checks the quality of those resources and topic relevance with three intelligent prediction models(5) helps learners to set their learning goals towards their desired job-related skills(6) recommends personalized learning pathways and learning content based on individual learning goalsand (7) provides assessment services for learners to monitor their progress towards their desired learning objectives. Accordingly, we created a learning dashboard focusing on three Data Science related jobs and conducted an initial validation of eDoer through a randomized experiment. Controlling for the effects of prior knowledge as assessed by means of a pretest, the randomized experiment provided tentative support for the hypothesis that learners who engaged with personal recommendations provided by eDoer to acquire knowledge of basic statistics, attained higher scores on the posttest than those who did not. The hypothesis that learners who received personalized content in terms of format, length, level of detail, and content type, would achieve higher scores than those receiving non-personalized content was not supported

Desarrollo de competencias blandas en estudiantes de ingeniería: trabajo colaborativo

This work focuses on the development of soft skills focused on the engineering student, based on the collaborative work model, which is currently important for employers that the graduate is integrated into the work team and can obtain favorable results, for this work a quantitative methodology was used, where a questionnaire was applied that allows to know the social skills that students possess, the development of the same was on a Likert scale, it was applied through an online platform, It was applied through an online platform, obtaining a sample of 530 undergraduate students in engineering at a university in the northeast of Mexico, then the answers were analyzed, to subsequently obtain as results that the way to integrate is in groups to perform teamwork, as conclusions it is important that students develop during their stay in collaborative work, because this includes effective communication, negotiation, empathy and leadership, which is a skill that is required in the world of work.El presente trabajo se enfoca en el desarrollo de las competencias blandas centradas en el estudiante de ingeniería, basado en el modelo de trabajo colaborativo, que actualmente es importante para los empleadores que el egresado se integre al equipo de trabajo y pueda obtener resultados favorables, para este trabajo se utilizó una metodología cuantitativa, donde se aplicó un cuestionario que permite conocer las habilidades sociales que poseen los estudiantes, el desarrollo del mismo fue en escala de Likert, se aplicó a través de una plataforma en línea, obteniendo una muestra de 530 estudiantes de licenciatura en ingeniería en una universidad del noreste en México, posteriormente se analizaron las respuestas, para posteriormente obtener como resultados que la forma de integrarse es en grupos para realizar trabajo en equipo, como conclusiones es importante que estudiante desarrolle durante su estancia en el trabajo colaborativo, porque este incluye una comunicación efectiva, negociación, empatía y liderazgo, que es una habilidad que se requiere en el mundo laboral

The ghost in the machine. A structurational interpretation of Maltese policies on ICT and education

The unprecedented expansion of digital technologies has been likened to nothing less than the efficient spread of a biological virus (Schmidt and Cohen, 2013). The omnipresence of Information Systems and digitally mediated attitudes is now a prominent feature in contemporary society, not the least in education. With many world governments, including Malta, now boasting of well-established and ambitious educational policies that range from pre-school to lifelong learning, a chronological portrayal and Structurational interpretation of an evolving recursive dialogue taking place between socioeconomic influences and inherent qualities of published Maltese ICT educational policies is hereby presented.peer-reviewe

Office of Graduate Studies Newsletter (Spring 2018)

The Office of Graduate Studies Newsletter shares the achievements of CSUSB graduate students as well as activities and events relevant to the university\u27s graduate programs

Modelado de currículos de ingenierías basados en competencias : Un mapeo sistemático de la literatura

La aprobación de los Estándares de Segunda Generación para la Acreditación de Carreras de Ingeniería, por parte del Consejo Federal de Decanos de Ingeniería de Argentina, instaura en las universidades la formación por competencias con fuerte impacto en los currículos. Este proceso es de complejidad tal que es conveniente que los interesados sean asistidos con productos de software. En este trabajo se presenta un mapeo sistemático de la literatura para obtener las investigaciones que detallen la aplicación de modelos legibles por máquinas que soporten el desarrollo de estos sistemas. Dicho mapeo revela la necesidad de continuar investigando y construir un modelo formal que satisfaga los requerimientos de sistemas de generación de currículos para la formación por competencias.Sociedad Argentina de Informática e Investigación Operativ

How might micro-credentials influence institutions and empower learners in higher education?

Micro-credentials are increasingly considered a key mechanism through which to empower learners by enabling flexible upskilling and reskilling. Despite their apparent importance for higher education institutions (HEIs) and learners, empirical research is limited. More needs to be understood, particularly about the ways in which micro-credentials can shape institutional practice and provide benefits to learners.publishedVersionPeer reviewe