An exploration of the key determinants for the application of AI-enabled higher education based on a hybrid Soft-computing technique and a DEMATEL approach

作者：

Highlights：

• AI promotes the sustainability development in higher education.

• A soft-computing technique extracts key factors from large amounts of data.

• DEMATEL analysis accounts for dependence and feedback among factors.

• A framework of AI-enabled Higher Education was proposed.

• “Intelligent instructional systems” is the most important criterion.

摘要

•AI promotes the sustainability development in higher education.•A soft-computing technique extracts key factors from large amounts of data.•DEMATEL analysis accounts for dependence and feedback among factors.•A framework of AI-enabled Higher Education was proposed.•“Intelligent instructional systems” is the most important criterion.

论文关键词：Artificial intelligence,Higher education,Fuzzy rough set theory (FRST),Ant colony optimization (ACO),Decision making trial and evaluation laboratory (DEMATEL)

论文评审过程：Received 8 March 2022, Revised 11 August 2022, Accepted 1 September 2022, Available online 6 September 2022, Version of Record 12 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118762