[HTML][HTML] Personalized education and artificial intelligence in the United States, China, and India: A systematic review using a human-in-the-loop model

A Bhutoria - Computers and Education: Artificial Intelligence, 2022 - Elsevier
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 …

[HTML][HTML] AI technologies for education: Recent research & future directions

K Zhang, AB Aslan - Computers and Education: Artificial Intelligence, 2021 - Elsevier
From unique educational perspectives, this article reports a comprehensive review of
selected empirical studies on artificial intelligence in education (AIEd) published in 1993 …

[HTML][HTML] Application and theory gaps during the rise of artificial intelligence in education

X Chen, H Xie, D Zou, GJ Hwang - Computers and Education: Artificial …, 2020 - Elsevier
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 …

Examining the role of learning engagement in technology-mediated learning and its effects on learning effectiveness and satisfaction

PJH Hu, W Hui - Decision support systems, 2012 - Elsevier
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 …

Enhancing post-secondary writers' writing skills with a chatbot

MPC Lin, D Chang - Journal of Educational Technology & Society, 2020 - JSTOR
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 …

The effects of education compatibility and technological expectancy on e-learning acceptance

JL Chen - Computers & Education, 2011 - Elsevier
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 contribution of learner characteristics in the development of computer-based adaptive learning environments

M Vandewaetere, P Desmet, G Clarebout - Computers in Human Behavior, 2011 - Elsevier
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 …

Effects of self-regulation scaffolding on online participation and learning outcomes

D Song, D Kim - Journal of Research on Technology in Education, 2021 - Taylor & Francis
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 …

Exploring the privacy concerns in using intelligent virtual assistants under perspectives of information sensitivity and anthropomorphism

QA Ha, JV Chen, HU Uy… - International journal of …, 2021 - Taylor & Francis
ABSTRACT Intelligent Virtual Assistants (IVA) such as Apple Siri, Google Assistant, are
increasingly being used to assist users with performing different tasks. However, their …

Enhancing e-learning effectiveness using an intelligent agent-supported personalized virtual learning environment: An empirical investigation

D Xu, WW Huang, H Wang, J Heales - Information & Management, 2014 - Elsevier
Virtual learning environments (VLEs) developed under constructivism and embedded
personalization learning functions have the potential to meet different requirements of …