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Engineering Education Technologies Report 2019

Citation Author(s):
Sergio
Martin
UNED - Universidad Nacional de Educación a Distancia
Manuel
Castro
UNED - Universidad Nacional de Educación a Distancia
Russ
Meier
Milwaukee School of Engineering
Esther
López-Martín
UNED - Universidad Nacional de Educación a Distancia
Alexis
Moreno-Pulido
UNED - Universidad Nacional de Educación a Distancia
Submitted by:
Sergio Martin
Last updated:
Thu, 09/30/2021 - 13:57
DOI:
10.21227/1hgf-ch36
Data Format:
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Abstract 

This dataset analyzes a survey delivered in 2019 to 259 experts in engineering education that asked them to forecast which information and communication technologies were most likely to impact the practice of engineering education based on the expert's discipline (electrical, electronics, mechanical, telecommunications engineering, computer science, etc.) and region. Results indicate that Adaptive and personalized learning technologies, Learning analytics, and Open educational resources are the three most promising technologies that will impact engineering education in the short term.