Research Article
Deep Learning in the Context of Big Data: The Theoretical Basis of Undergraduate Education Reform
@INPROCEEDINGS{10.1007/978-3-031-23950-2_40, author={Lianjuan Wei}, title={Deep Learning in the Context of Big Data: The Theoretical Basis of Undergraduate Education Reform}, proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I}, proceedings_a={BIGIOT-EDU}, year={2023}, month={1}, keywords={Deep learning Theoretical basis Value implication Practice orientation}, doi={10.1007/978-3-031-23950-2_40} }- Lianjuan Wei
Year: 2023
Deep Learning in the Context of Big Data: The Theoretical Basis of Undergraduate Education Reform
BIGIOT-EDU
Springer
DOI: 10.1007/978-3-031-23950-2_40
Abstract
With the rapid development of new information technology such as big data, cloud computing, artificial intelligence and so on, the process from industrial society to information society has been accelerated. With the uncertainty of knowledge, the value demands of undergraduate education have changed substantially. How to promote deep learning and cultivate students’ deep learning is an important direction of current educational reform and development. Deep learning is an understanding learning with the characteristics of critical understanding, promotion of knowledge construction, and emphasis on transfer and application. It is an inevitable choice for the current undergraduate education reform to accurately understand the theoretical basis of deep learning, deeply excavate the value implication of deep learning, and devote ourselves to promoting the concrete practice of deep learning.
