A Debate and Decision-Making Tool for Enhanced Learning

García, Diego; Sanguino, Tomás de Jesús Mateo; Ancos, Estefanía Cortés; Gonzalez, Inaki Fernandez de Viana

doi:10.1109/tlt.2016.2556664

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…As a result, this may prevent from being a rewarding experience, cause the student's demotivation and undermine their learning process. Such concerns regarding tools have been previously explored through similar educational experiences in transversal disciplines such as computer engineering, networking or robotics .…”

Section: Introductionmentioning

confidence: 99%

Making image and vision effortless: Learning methodology through the quick and easy design of short case studies

Sanguino

Webber

2018

Comp Applic In Engineering

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Learning on machine vision and image processing generally require high‐level knowledge on techniques, algorithms and programming skills. The educational process is frequently supported by formal lecture approaches assisted by object lessons or lab activities, and project‐based learning methodologies where students engage complex questions, challenges, and problems over a longer period of time. These educational approaches are not effective when applying to learners in robotics study programs or without a programming background where time and motivation are different. To address this concern, this paper presents an educational tool developed to teach the basic principles of machine vision and image processing through the design of short case studies. As the main contribution, the proposed tool allows to shorten the training time required by students—mainly beginners—without the skills in programming and deep understanding of math hidden behind each image operation. This lets to fit theoretical and practical works into short development times. To this end, we conducted an educational experience in robotics subjects with third year students of the computer science and industrial engineering degrees. As a result of this scenario, we statistically compared the teaching and learning issues, the user preferences about the tool and the student academic performance.

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Section: Introductionmentioning

confidence: 99%

Making image and vision effortless: Learning methodology through the quick and easy design of short case studies

Sanguino

Webber

2018

Comp Applic In Engineering

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Systematic review on mobile collaborative learning for engineering education

2022

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Our daily lives have been transformed by mobile smart devices. Due to the sudden impact of the coronavirus (Covid-19) on education, the importance of mobile devices for communicating with teachers and students has risen to a new level of prominence. The Web of Science and Scopus databases were used to conduct a systematic review of the research on mobile collaborative learning in engineering education. The purpose of this review is to ascertain the degree to which research on mobile collaborative learning has been conducted in the field of engineering education between 2010 and 2020. A total of 48 articles were reviewed to ascertain the research methodologies and area of study, as well as to provide an updated review of studies on mobile collaborative applications, particularly in the field of engineering education. Among the most significant findings is that the majority of publications make use of augmented reality and mobile application development. According to the review, the majority of studies were conducted in the fields of computer sciences, electronic engineering, and artificial intelligence.

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Research on the Quantitative Model of Ideological and Political Education Decision-making Based on Deep Learning

Zha

2022

2022 3rd International Conference on Education, Knowledge and Information Management (ICEKIM)

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A Debate and Decision-Making Tool for Enhanced Learning

Cited by 7 publications

References 28 publications

Making image and vision effortless: Learning methodology through the quick and easy design of short case studies

Making image and vision effortless: Learning methodology through the quick and easy design of short case studies

Systematic review on mobile collaborative learning for engineering education

Research on the Quantitative Model of Ideological and Political Education Decision-making Based on Deep Learning

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