Modern Social Science Research

It is of vital importance to train translation professionals in the new era. However, traditional modes are still prevailing for translation teaching. This paper discusses how to eliminate the drawbacks of traditional modes of translation teaching from the perspective of deep learning. Based on literature analysis, this paper elaborates three implications informed by deep learning theory for translation teaching: (1) Translation teaching should be student-centered; students’ agentic roles should be put into full play in translation learning; (2) Translation teaching should take deep learning as the aim; teachers should ensure that students’ deep learning has occurred; (3) Translation teaching should be committed to “deepness”; teachers should take into account the quality of deep learning. Further, this paper proposes deep learning-oriented strategies regarding students’ affective engagement, behavioral engagement, and cognitive engagement for the design and implementation of online and offline blended translation teaching, with a view to vitalizing translation classrooms.

Deep learning; Affective engagement; Behavioral engagement; Cognitive engagement; Blended translation teaching