The comparison of Chat GPT, Perplexity AI, and Scopus database to capture Indonesian higher education quality in achieving SDGs 2030

12Citations
Citations of this article
88Readers
Mendeley users who have this article in their library.

Abstract

Indonesia's higher education sector significantly contributes to achieving the Sustainable Development Goals (SDGs), particularly in the context of quality education. The research aims to (1) analyse the challenges of Indonesian higher education in achieving SDGs 2030 based on data and facts, (2) analyse Indonesian higher education's challenges in achieving SDGs 2030 by making a plan or design, (3) analyse the impact of implementing the design in Indonesian higher education achieving SDGs 2030. Literature reviews using AI tools such as Chat GPT and Perplexity AI are rarely used, especially in discovering remedies to enhance the quality of education in higher education institutions in Indonesia. There has yet to be further research comparing AI tools and the Scopus database to find literature on specific SDG topics. Research shows several challenges in Indonesian higher education in achieving SDGs 2030, with the most discussed being access and equity, quality of education, universities programs, and infrastructure.

Cite

CITATION STYLE

APA

Utami, P. L., Suprapto, N., Hidaayatullaah, H. N., & Cheng, T. H. (2024). The comparison of Chat GPT, Perplexity AI, and Scopus database to capture Indonesian higher education quality in achieving SDGs 2030. In E3S Web of Conferences (Vol. 513). EDP Sciences. https://doi.org/10.1051/e3sconf/202451304001

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free