Role of machine learning in improving tourism and education sector. (2022)

• Record Type: Journal Article
• Authors: Bangare, Manoj L.; Bangare, Pushpa M.; Ramirez-Asis, Elia; Jamanca-Anaya, Robert; Phoemchalard, Chirasak; Bhat, Dada Ab Rouf
• Is Part Of: Materials today. Volume 51:Part 8(2022)
• Page Start: 2457
• Page End: 2461
• Publication Date: 2022
• Subjects: Machine learning -- Predictive analytics -- Learning analytics -- Tourism prediction -- Classification; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2021.11.615
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Tourism is viewed as a major economy booster. Although tourism has a beneficial influence on the economy in terms of national income generation, job creation, tax revenue generation and foreign exchange generation, it is a multi-segment sector. As a primary goal of higher education institutions, improving student performance is a top priority. Before a performance improvement program can be designed, it is necessary to map the students' current situation. Traditional computer techniques in the IT industry differ from machine learning. To describe or solve a problem, computers utilize a set of well-written instructions. Data inputs for factual research can be prepared using master learning approaches by computers. We'll look at how machine learning can be used in the tourist and education sectors.