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.

Dataset Files

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[1] Sergio Martin, Manuel Castro, Russ Meier, Esther López-Martín, Alexis Moreno-Pulido, "Engineering Education Technologies Report 2020", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/jnm9-bb10. Accessed: Feb. 04, 2023.
@data{jnm9-bb10-22,
doi = {10.21227/jnm9-bb10},
url = {http://dx.doi.org/10.21227/jnm9-bb10},
author = {Sergio Martin; Manuel Castro; Russ Meier; Esther López-Martín; Alexis Moreno-Pulido },
publisher = {IEEE Dataport},
title = {Engineering Education Technologies Report 2020},
year = {2022} }
TY - DATA
T1 - Engineering Education Technologies Report 2020
AU - Sergio Martin; Manuel Castro; Russ Meier; Esther López-Martín; Alexis Moreno-Pulido
PY - 2022
PB - IEEE Dataport
UR - 10.21227/jnm9-bb10
ER -
Sergio Martin, Manuel Castro, Russ Meier, Esther López-Martín, Alexis Moreno-Pulido. (2022). Engineering Education Technologies Report 2020. IEEE Dataport. http://dx.doi.org/10.21227/jnm9-bb10
Sergio Martin, Manuel Castro, Russ Meier, Esther López-Martín, Alexis Moreno-Pulido, 2022. Engineering Education Technologies Report 2020. Available at: http://dx.doi.org/10.21227/jnm9-bb10.
Sergio Martin, Manuel Castro, Russ Meier, Esther López-Martín, Alexis Moreno-Pulido. (2022). "Engineering Education Technologies Report 2020." Web.
1. Sergio Martin, Manuel Castro, Russ Meier, Esther López-Martín, Alexis Moreno-Pulido. Engineering Education Technologies Report 2020 [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/jnm9-bb10
Sergio Martin, Manuel Castro, Russ Meier, Esther López-Martín, Alexis Moreno-Pulido. "Engineering Education Technologies Report 2020." doi: 10.21227/jnm9-bb10