Work

Looking back and to the future after four-plus years of language in chemistry

Year: 2026

Type: review

Abstract: Four years ago we wrote an article predicting the disruptive effect of large language models in the fields of chemical education and research. Here we review and grade our past predictions, give our perspective on some of the progress that has been made in the intervening years, and finally give some forecasts of what might be coming next.

Source: Digital Discovery

DOI: 10.1039/d5dd00550g

Authors: Glen M. Hocky, Andrew D. White

Institutions: New York University, Future House, Inc.

Language: English

Topic: Artificial Intelligence in Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: diamond

Funders: National Institutes of Health, National Institute of General Medical Sciences