Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Глава

AI-Driven Recommender Systems for Personalized Entrepreneurial Learning in Startup Education

R. NatarajanMarwadi University, Rajkot, IndiaS. AarthiMarwadi University, Rajkot, IndiaUmid OtajanovMakhmudov AsliddinTermez University of Economics and Service, Termez, Uzbekistan
ABI

Аннотация

The concept of Artificial Intelligence is changing the nature of entrepreneurial education because it allows personalized and adaptable learning based on recommender systems. This chapter will discuss the way AI-based recommendation models are developed and implemented to analyze the profile of learners, their behaviors, and data of the ecosystem to provide specific learning pathways. Through a combination of methods like collaborative filtering, content-based approaches, and deep learning, the systems increase engagement, skills improvement, and start up preparedness. The chapter discusses also online platform and incubator case studies, where the learning outcomes were improved in reality. The issues associated with privacy, bias, and assessment are addressed, as well as how AI-driven entrepreneurial learning systems can be scaled and ethically sound in the future.

Перевод пока недоступен

Темы

Идентификаторы

Цитирования и источники

Цитирований: 0Использованных источников: 0