Engineering Education Technologies Report 2019

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.

本数据集对2019年向259位工程教育专家进行的调查进行了分析，调查内容为请专家们根据其学科领域（如电气、电子、机械、电信工程、计算机科学等）和地区，预测哪些信息和通信技术最有可能影响工程教育的实践。结果显示，自适应个性化学习技术、学习分析和开放教育资源是短期内最有可能对工程教育产生影响的三大技术。