Study of Motivation of Engineering Students on Multinational Design Projects

Rodriguez, Jorge; Esparragoza, Iván E.; Ocampo, Jared R.; Viganò, Roberto

doi:10.1109/rita.2017.2776446

Cited by 6 publications

(6 citation statements)

References 26 publications

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“…These commonalities were grouped into the following headings: 1) student interaction with the community, the 2) interaction vs student grades, the 3) student experience. Cheng et al [10] Gewerc et al [11] Lee et al [12] Morillas et al [13] Warin et al [14] Cruz-Bentio et al [15] Encalada et al [16] Rambocas et al [17] Rodriguez et al [18] Rajab K.D. [19] Motivation 1 1…”

Section: Resultsmentioning

confidence: 99%

“…This is referring to the additional learning vector of another student in the course not just the lecturer. Higher levels of satisfaction [19] and interest [18] were also reported.…”

Section: Student Experiencesmentioning

confidence: 90%

“…[19] and Encalada [16] both found no significant statistical difference. On the other hand, Rambocas et al found that the student development was significantly higher in the technology enabled classes [17] and there was a higher interest in completing courses using digital communities [18].…”

Section: B Interaction Vs Gradesmentioning

confidence: 99%

See 2 more Smart Citations

Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry

Jackson

Nikolic

Shen

et al. 2018

2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)

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Digital learning communities have become a focal point of organizational development. The education industry has begun to follow suit by using the same technologies to enhance the learning process through a deeper process of participation. These technological tools complement sound learning design to bring a wealth of benefits to students. These benefits are not without peril. New technological tools shift common issues of education into online environments. This article reviews recent implementations of digital communities and highlights their influencing factors. The factors are then connected to existing factors in knowledge management literature. The key factors found are A) Student interaction with the community, B) Interaction vs grades and C) Student experiences.

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Section: Resultsmentioning

confidence: 99%

“…This is referring to the additional learning vector of another student in the course not just the lecturer. Higher levels of satisfaction [19] and interest [18] were also reported.…”

Section: Student Experiencesmentioning

confidence: 90%

See 1 more Smart Citation

Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry

Jackson

Nikolic

Shen

et al. 2018

2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)

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“…DOI (Digital Object Identifier) Pending being a last year subject, a more practical approach is sought. Third, it has been demonstrated that PBL greatly improves motivation of students [5] [6]. This quality is very important since our students are typically reluctant to embrace selflearning.…”

Section: Introductionmentioning

confidence: 99%

Designing a Project for Learning Industry 4.0 by Applying IoT to Urban Garden

Hormigo

Rodríguez

2019

IEEE R. Iberoamericana Tecnologias Aprendizaje

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The fast evolution of technologies forces teachers to trade content off for self-learning. Project-based learning (PBL) is one of the best ways to promote self-learning and simultaneously boost motivation. In this paper, we present our experience of designing a PBL course for Industrial Informatics. We provide all the designing details that could help other teachers to reproduce a similar experience. Furthermore, we report on the impact that this project has on student satisfaction and motivation. The new Industry 4.0 topic allows us to carry out complete projects, integrating different technologies and tools. Moreover, the selection of open-source and standard free technologies makes easy and cheap the access to hardware and software platforms used. Surveys taught us that tuning the courses towards developing real projects on the field, has a large impact on acceptance, learning objectives achievements and motivation towards the course content. This is the author's version of an article that has been published in this journal. Changes were made to this version by the publisher prior to publication.The final version of record is available at http://dx.

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“…This implies an increase of education and training activities devoted to fulfil the on‐going needs for competent scientists and technicians in the biomedical series analysis. In last decades the National Science Foundation has supported a number of studies designed to improve teaching pedagogy in engineering courses in general and bioengineering, in particular . Various efforts have been concentrated on what and how it should be taught, and about methods to achieve satisfactory results in both precollege and postgraduate populations [18,61].…”

Section: Introductionmentioning

confidence: 99%

Active learning in a real‐world bioengineering problem: A pilot‐study on ophthalmologic data processing

Adorno

Bellomonte

2018

Comp Applic In Engineering

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Active learning is a format alternative to the conventional lecture/recitation/laboratory; research results have reported that it is suitable to encourage student inquiry and foster peer mentoring. Although the availability of computer‐based learning materials in biomedical sciences is increasing, there are relatively few studies aimed to integrate traditional methods of teaching with inquiry‐based approaches utilizing these Information and Communication Technologies (ICT) tools. This paper describes a pilot‐study on a comprehensive active laboratory course about digital ophthalmologic signal classification, experienced by a group of undergraduates in Bio‐Electronic Engineering. During the activity, the students became able to discriminate healthy subjects from patients affected by two retinal pathologies: Achromatopsia or Congenital Stationary Night Blindness. The study was based on the analysis and classification of the electroretinograms, that record the retinal response to a light flash. To process electroretinographic data, a software based on the Empirical Mode Decomposition and an Artificial Neural Network was used. Our findings indicate that this laboratory experience can be considered effective in improving student's reasoning skills and that students acting as investigators achieve a better outcome, presumably because this activity satisfies their psychological needs for autonomy, competence, and relatedness.

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Study of Motivation of Engineering Students on Multinational Design Projects

Cited by 6 publications

References 26 publications

Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry

Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry

Designing a Project for Learning Industry 4.0 by Applying IoT to Urban Garden

Active learning in a real‐world bioengineering problem: A pilot‐study on ophthalmologic data processing

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