Engineering Education Technologies Report 2019
收藏IEEE2021-09-20 更新2026-04-17 收录
下载链接:
https://ieee-dataport.org/documents/engineering-education-technologies-report-2019
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资源简介:
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.
提供机构:
Moreno-Pulido, Alexis; Meier, Russ; López-Martín, Esther; Castro, Manuel; Martin, Sergio
创建时间:
2021-09-20



