Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature
with diverse perspectives. In this review paper, we seek insights into three critical …

The traditional “one size fits all” education system has been largely criticized in recent years
on the ground of its lacking the capacity to meet individual student needs. Global education …

From unique educational perspectives, this article reports a comprehensive review of
selected empirical studies on artificial intelligence in education (AIEd) published in 1993 …

Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the
absence of a comprehensive review on it, this research aims to conduct a comprehensive …

Artificial intelligence (AI) and its impact on society have received a great deal of attention in
the past five years since the first Stanford AI100 report. AI already globally impacts …

In the present study, we developed a chatbot that helps teachers to deliver writing
instructions. By working with the chatbot, the post-secondary writers developed a thesis …

We examine students' learning effectiveness and satisfaction in technology-mediated
learning by analyzing how it influences the underlying learning process, with a focus on the …

The aim of this study is to investigate whether an interactive self-regulation scaffolding
increases levels of online learners' self-regulated learning skills, course participation, and …

Discerning what influences a student's acceptance of e-learning is still unclear and has not
been well investigated. On the basis of the expectancy-value theory, much effort has been …

The development of learner models takes an active part in upcoming adaptive learning
environments. The purpose of learner models is to drive personalization based on learner …