Serious Games for the Development of Employment Oriented Competences

Guenaga, Mariluz; Arranz, Sonia; Florido, Isabel Rubio; Aguilar, Eduardo Méndez; Guinea, Alex Ortiz de; Rayón, Alex; Bezanilla, María José; Menchaca, Iratxe

doi:10.1109/rita.2013.2285024

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…Valsamidis et al analyzed the weblog data for designing student management system by introducing Markov clustering where a data set of 1,199 students were analyzed using Open eClass. Guenaga et al presented the research work of an interdisciplinary group of educators, entertainment experts, and technologists from the University of Deusto. They showed how technology facilitates a new teaching methodology by developing a game where students can practice their skills and improve their problem‐solving techniques.…”

Section: State‐of‐the‐artmentioning

confidence: 99%

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

Sood

Singh

2019

Comp Applic In Engineering

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In the present scenario, the state of engineering education worldwide is facing a big challenge of the employability of graduates. Cloud computing technology has changed the educational landscape by allowing educators and administrators to shift to the cloud for making actionable decisions. In this paper, a smart learning framework is proposed where universities/colleges can advocate the management of employability enhancement and start skill-set enhancement courses through e-learning. This proposed framework monitors the academic/skill data of students to classify their employability at the early stage of graduation. In addition, an algorithm is proposed for skill-set assessment to find various clusters of students who lack in required skill-set. The predicted clusters of students can be offered opportunities to improve their required skill-set through e-learning. Further, we used the design science research methodology for conducting online courses. Moreover, the prediction of resource usage of the proposed e-learning framework is calculated to improve its effectiveness. In our experiment, results show that our proposed hybrid classier achieves 96.45% accuracy of classification. The prediction of resource usage offers better opportunities for adaptive resource elasticity. The results depict that by introducing the proposed framework in engineering education; more effective decisions can be made to improve the employability and overall growth of students. K E Y W O R D S employability enhancement, fog/cloud computing, optical network, resource usage pattern prediction, skill-set assessment, smart learning 1 | INTRODUCTION Universities/colleges are under great pressure to make the youth ready for jobs since the market demands for skilled workers. The education system throughout the world requires a smart system that can be monitored, controlled, quantitatively measured, and continuously improved with the collaboration of universities/ learning centers to enhance students' employability potential during their early years of graduation. Students' employability depends on a variety of features, such as marks obtained in high school, diploma, graduation, etc., extra technical competence, or other relevant information [29]. The information collected from various resources regarding their features is to be accurate, well-timed and precise.As it may be seen in the next references along with this article, according to authors [1,3,4,10,35,37,38,40,41], today's technology is capable of improving students' skills towards employability through e-learning. It consists of multiple skill-set service providers such as learning centers, recruitment companies, institutions, and private training centers, etc. It provides a personally customized and effective educational environment that reduces the gap between students' skill-set and industry demand at multiple employability parameters, such as aptitude, reasoning, communication, technical/professional certifications, etc.The potential of cloud computing encourages education syste...

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Section: State‐of‐the‐artmentioning

confidence: 99%

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

Sood

Singh

2019

Comp Applic In Engineering

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“…Serious games have been applied to the development of skills [10,22], measuring the user's performance through a series of indicators. However, serious games are often used for a specific purpose, usually related to specific skills instead of generic skills.…”

Section: Semi-automated Assessment Toolsmentioning

confidence: 99%

Model-Driven Skills Assessmentin Knowledge Management Systems

Balderas

Hernández

Dodero

et al. 2019

JWE

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Organizations need employees who perform satisfactorily in generic skills, such as teamwork, leadership, problem solving or interpersonal abilities, among others. In organizational environments, employees perform work that is not always visible for supervisors and, thus, they can hardly assess their performance in generic skills. By using a knowledge management system, the users are able to leave a trace of their activity in the system's records. This research aims to address a computer supported assessment of the user's generic skills from the perspective of Model-Driven engineering. First, a systematic mapping study is carried out to understand the state of the art. Second, a proposal based on Model-Driven engineering is presented and is then validated through an organizational learning process model. Our results are promising and we are able to conduct a scalable assessment based on objective indicators of the employee's planning, time management and problem solving skills. Evidence queries_on_time:get students show submission in workshop.

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“…From the academics' perspectives, the literature also highlights the challenges faced as they grapple with the effective integration of gamification using technology. These challenges include relating, connecting, and transforming pedagogical goals to game mechanics (Guenaga et al, 2013) and "understanding of how to gamify an activity depending on the specifics of the educational context" (Dichev & Dicheva, 2017, p. 25). Based on these concerns, we aim to examine academics' planning, implementation, and assessment of gamification (with technology) in their courses, from the lenses of pedagogical knowledge, skills, practices, considerations or reasonings, and the challenges faced.…”

Section: Introductionmentioning

confidence: 99%

Practices, purposes and challenges in integrating gamification using technology: A mixed-methods study on university academics

2023

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Literature emphasizes that gamification significantly enhances students' engagement in learning and their motivation level. Studies have also examined the benefits of gamification in learning across different levels of education. However, the focus on academics' pedagogical understanding, knowledge, and skills and how they utilize these in planning and carrying out their gamified lessons particularly in the context of higher education, are not well researched. A mixed-methods study was conducted at a Malaysian public university with the aim of uncovering the practices, purposes, and challenges of integrating gamification via technology from the academics' perspective. Findings show the academics' practices of gamification could be further enhanced and their pedagogical considerations revolve around five main themes: (i) motivating students' learning; (ii) facilitating thinking skills and solving problems; (ii) engaging students' learning; (iv) facilitating interactions and (v) achieving specific teaching and learning goals. Based on the findings, the researchers proposed two models that would be able to facilitate and enhance academics' pedagogical knowledge and skills in integrating gamification for students' learning.

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Serious Games for the Development of Employment Oriented Competences

Cited by 9 publications

References 9 publications

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

Optical fog‐assisted smart learning framework to enhance students’ employability in engineering education

Model-Driven Skills Assessmentin Knowledge Management Systems

Practices, purposes and challenges in integrating gamification using technology: A mixed-methods study on university academics

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