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Decoding Academic Success with Artificial Intelligence: A K-Means Clustering Analysis of Challenges and Opportunities in Higher Education

Year: 2026

Type: conference-paper

Study design: Observational Study

Source: Advances in Science, Technology & Innovation/Advances in science, technology & innovation

DOI: 10.1007/978-3-032-21822-3_23

Authors: Puguh Ardianto Iskandar, Muhamad Afandi, Salsabila Widya Fatina, Muhammad Habibi, Rafhi Febryan Putera, Yogi Ageng Sri Legowo

Institutions: Sultan Agung Islamic University, Yogyakarta State University, Universitas Negeri Padang, University of Bengkulu, Universitas Darul Ulum Islamic Centre Sudirman

Language: English

Topic: Artificial Intelligence in Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDG: Quality education

Open Access status: closed

OpenAlex ID: W7201870076

FWCI:

Cites: 31

Cited by:

Related to: 10