Summary
Humans trained in education research have long been considered the sole experts in interpreting learning and the quality of learning environments. But when such judgement relies on the interpretation of text, the process can be slow and labor intensive, thereby limiting how quickly and effectively educators can respond to changing student needs. While natural language processing (NLP) cannot replace human interpretation, recent advances now allow it to be strategically integrated with human insight to enable more comprehensive and objective models of student learning with remarkable fidelity.
