A Comparative Analysis of Worldwide Trends in the Use of Information and Communications Technology in Engineering Education

This paper forecasts learning technologies that are predicted to impact the practice of engineering education according to the perceptions of engineering education researchers and practitioners. These forecasts were derived from three worldwide surveys carried out in 2013, 2014 and 2015. The responses were analyzed to know the technologies that will have an impact in the short, medium and long term. In turn, differences in forecasts according to area of specialization and geographical region were studied. Moreover, this paper applies social analysis (Google Trends) and bibliometric analysis (Google Scholar, Scopus and Web of Science) to these predictions in order to discover which technologies were successful and really impacted in engineering education, and which ones failed to have the predicted impact and why.

[1]  Zhen Wen,et al.  Emerging nanogenerator technology in China: A review and forecast using integrating bibliometrics, patent analysis and technology roadmapping methods , 2018 .

[2]  Andrew T. M. Phillips Engineering design, research and education: breaking in and out of liminal space , 2017 .

[3]  Renata A. Revelo,et al.  Critical Theoretical Frameworks in Engineering Education: An Anti-Deficit and Liberative Approach , 2018, Education Sciences.

[4]  Sergio Martin,et al.  Analysis of New Technology Trends in Education: 2010–2015 , 2018, IEEE Access.

[5]  Heuiseok Lim,et al.  A comparative study on gamification of the flipped classroom in engineering education to enhance the effects of learning , 2018, Comput. Appl. Eng. Educ..

[6]  Kari Alanne A survey of Finnish energy engineering students' knowledge and perception of hydrogen technology , 2018 .

[7]  Manuel Castro,et al.  Digital and Global View of Engineering Education Using Remote Practical Competences , 2015, IEEE Revista Iberoamericana de Tecnologias del Aprendizaje.

[8]  D. Christopher Brooks,et al.  The Current Ecosystem of Learning Management Systems in Higher Education: Student, Faculty, and IT Perspectives. , 2014 .

[9]  John Heywood,et al.  Engineering Education : Research and Development in Curriculum and Instruction , 2005 .

[10]  Magdalena Mo Ching Mok,et al.  ICT in Higher Education: An Exploration of Practices in Malaysian Universities , 2019, IEEE Access.

[11]  Ruben Morales-Menendez,et al.  Technological innovations and practices in engineering education: a review , 2019, International Journal on Interactive Design and Manufacturing (IJIDeM).

[12]  Naai-Jung Shih,et al.  Trends and Research Issues of Augmented Reality Studies in Architectural and Civil Engineering Education—A Review of Academic Journal Publications , 2019, Applied Sciences.

[13]  Birgit Stelzer,et al.  Combining the scenario technique with bibliometrics for technology foresight: The case of personalized medicine , 2015 .

[14]  Tengteng Zhuang,et al.  ‘New Engineering Education’ in Chinese Higher Education: Prospects and challenges , 2018, Tuning Journal for Higher Education.

[15]  Alejandra J. Magana Modeling and Simulation in Engineering Education: A Learning Progression , 2017 .

[16]  Anthony A. Piña,et al.  An Educational Leader’s View of Learning Management Systems , 2018 .

[17]  Manuel Castro,et al.  New technology trends in education: Seven years of forecasts and convergence , 2011, Comput. Educ..

[18]  Alberto Moro,et al.  A bibliometric-based technique to identify emerging photovoltaic technologies in a comparative assessment with expert review , 2018, Renewable Energy.

[19]  Cynthia J. Finelli,et al.  How a Flexible Classroom Affords Active Learning in Electrical Engineering , 2019, IEEE Transactions on Education.

[20]  Jorge Martín-Gutiérrez,et al.  Virtual Technologies Trends in Education , 2017 .

[21]  Kang Hao Cheong,et al.  Integrated Virtual Laboratory in Engineering Mathematics Education: Fourier Theory , 2018, IEEE Access.

[22]  Camilo Vieira,et al.  Characterizing the interplay of cognitive and metacognitive knowledge in computational modeling and simulation practices , 2019, Journal of Engineering Education.

[23]  Richard M. Felder,et al.  Teaching and Learning Stem: A Practical Guide , 2016 .

[24]  Chetan S. Sankar,et al.  Factors That Influence Dissemination in Engineering Education , 2012, IEEE Transactions on Education.

[25]  Yuan-Chih Yu,et al.  Teaching with a Dual-Channel Classroom Feedback System in the Digital Classroom Environment , 2017, IEEE Transactions on Learning Technologies.

[26]  Larry Johnson,et al.  Technology Outlook for STEM+ Education 2013-2018: An NMC Horizon Project Sector Analysis. , 2013 .

[27]  Anthony A. Maciejewski,et al.  A Holistic Approach to Transforming Undergraduate Electrical Engineering Education , 2017, IEEE Access.

[28]  Yen-Chun Jim Wu,et al.  Review of trends from mobile learning studies: A meta-analysis , 2012, Comput. Educ..