Work

Trends in artificial intelligence-supported e-learning: a systematic review and co-citation network analysis (1998–2019)

Year: 2021

Type: review

Study design: Systematic Review

Source: Interactive Learning Environments

DOI: 10.1080/10494820.2021.1875001

Authors: Kai-Yu Tang, Ching-Yi Chang, Gwo-Jen Hwang

Institutions: Ming Chuan University, Taipei Medical University, Kaohsiung Medical University, National Taiwan University of Science and Technology

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

Funders: Ministry of Science and Technology of the People's Republic of China, National Taipei University of Technology

Awards: G1602279389, G6106886644, G6435246453

OpenAlex ID: W3124069781

FWCI: 3.502

Cites: 73

Cited by: 410

Related to: 10