A Survey on Applications of Artificial Intelligence for Enhancement in Learning Experience

Autor: Pradnya More, Tukaram Gawali, Swati Chaudhari, Siddheshwar Bhadak, Shubham Chaudhari
Rok vydání: 2020
Předmět:
Zdroj: ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY. 6:86-89
ISSN: 2350-1146
DOI: 10.33130/ajct.2020v06i03.013
Popis: This paper is a survey about applications of Artificial Intelligence which are implemented in education for student assessment and to enhance learning experience. Initially, we intend to focus on concepts of Artificial Intelligence. In this paper, 4 different papers are surveyed which consist different applications of Artificial Intelligence for learning. This survey is based on Proposed Model, Experimentation, Results/Advantage and Limitation. These papers present various applications of Artificial Intelligence in student assessment and to enhance learning experience.
Databáze: OpenAIRE