Abstract
There are several teaching methods adopted in today’s engineering faculties. The traditional teaching-learning style with frontal lessons has proven to be more useful for theoretical aspects. When practice comes to play, laboratories and hands-on sessions are more effective on learning outcomes. Considering the computer engineering faculty, the “learning by doing” paradigm can be supported by the “learning by practice” and “learning by competing” approaches, by stimulating innovation and creative thinking and by developing experience in teamwork and project execution. In this paper, in the context of the project work associated to our computer engineering master degree course, we propose three case studies, parts of eHealth research projects currently under development and testing at our University in Southern Italy, each one characterized by specific constraints and issues to be addressed in order to find innovative solutions to such problems. These research activities are aimed at demonstrating how “healthy competition”, mainly based on team collaboration and cooperation, in project-based learning can be profitably deployed and exploited in computer engineering classes.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Felder, R.M., Silverman, L.K.: Learning and teaching style in engineering education. Eng. Educ. 78(7), 674–681 (1988)
Lemu, H.G.: On competition-driven teaching of multidisciplinary engineering education: implementation cases at University of Stavanger. Nordic J. STEM Educ. 1(1), 278–286 (2017)
Clark, J., White, G.: Experiential learning: a definitive edge in the job market. Am. J. Bus. Educ. 3(2), 115–118 (2010)
IEEE 2017 Student Hardware Competition. http://bit.ly/2nigjL1
Carroll, D.R., Hirtz, P.D.: Teaching multi-disciplinary design: solar car design. J. Eng. Educ. 91(2), 245–248 (2002)
Meade, J.: Coach. PRISM 3(3), 32–34 (1993)
Astin, A.W.: What Matters in College? Four Critical Years Revisited. Jossey-Bass, San Francisco (1993)
Vaira, L., Bochicchio, M.A., Navathe, S.B.: Perspectives in healthcare data management with application to maternal and fetal wellbeing. In: 24th Italian Symposium on Advanced Database Systems (SEBD), pp. 31–41 (2016)
EU Commission: Digital Single Market. Managing Health Data. http://bit.ly/2DHLNAp
Bochicchio, M.A., Vaira, L., Longo, A., Malvasi, A., Tinelli, A.: Multidimensional analysis of fetal growth curves. In: IEEE 2013 International Conference on Big Data. Bigdata in Bioinformatics and Health Care Informatics (BBH), Santa Clara (2013)
Elmasri, R., Navathe, S.B.: Fundamentals of Database Systems, 7th edn. Pearson Publishing (2015)
Malvasi, A., Bochicchio, M.A., Vaira, L., Longo, A., Pacella, E., Tinelli, A.: The fetal head evaluation during labour in the occiput posterior position: the ESA (evaluation by simulation algorithm) approach. J. Maternal-Fetal Neonatal Med. 27(11), 1151–1157 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Vaira, L., Bochicchio, M.A. (2019). Digital Health for Computer Engineering Classes: An Experience. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_58
Download citation
DOI: https://doi.org/10.1007/978-3-319-95678-7_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95677-0
Online ISBN: 978-3-319-95678-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)