Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles

HC Chu, GH Hwang, YF Tu, KH Yang - Australasian Journal of …, 2022 - ajet.org.au
Artificial intelligence (AI) in higher education has proven to be a useful learning technology;
it can help learners achieve positive learning outcomes in the learning environment and can …

Educational applications of artificial intelligence in simulation-based learning: A systematic map** review

CP Dai, F Ke - Computers and Education: Artificial Intelligence, 2022 - Elsevier
The field of education has experienced a transformation as artificial intelligence (AI)
becomes increasingly applicable for learning purposes. AI has the potential to transform the …

A systematic literature review of personalized learning terms

A Shemshack, JM Spector - Smart Learning Environments, 2020 - Springer
Learning is a natural human activity that is shaped by personal experiences, cognitive
awareness, personal bias, opinions, cultural background, and environment. Learning has …

A systematic review: machine learning based recommendation systems for e-learning

SS Khanal, PWC Prasad, A Alsadoon… - Education and Information …, 2020 - Springer
The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

Integrating learning styles and adaptive e-learning system: Current developments, problems and opportunities

HM Truong - Computers in human behavior, 2016 - Elsevier
Learning styles which refer to students' preferred ways to learn can play an important role in
adaptive e-learning systems. With the knowledge of different styles, the system can offer …

Influence of students' learning style, sense of presence, and cognitive load on learning outcomes in an immersive virtual reality learning environment

CL Huang, YF Luo, SC Yang, CM Lu… - Journal of …, 2020 - journals.sagepub.com
The purpose of this study was to investigate the relationship among Taiwanese high school
students' learning style, sense of presence, cognitive load, and affective and cognitive …

A systematic literature review of intelligent tutoring systems with dialogue in natural language

J Paladines, J Ramirez - IEEE Access, 2020 - ieeexplore.ieee.org
Intelligent tutoring systems (ITSs) are computer programs that provide instruction adapted to
the needs of individual students. Dialog systems are computer programs that communicate …

Implementation of an andragogical teacher professional development training program for boosting TPACK in STEM education

P Chaipidech, T Kajonmanee, K Chaipah… - … Technology & Society, 2021 - JSTOR
Several previous studies have indicated that teachers require knowledge to enhancing
technologyintegrated instructional practices for representing and formulating the content to …

Association of learning styles with different e-learning problems: a systematic review and classification

A Khamparia, B Pandey - Education and Information Technologies, 2020 - Springer
Due to increase in complexity of modelling human behaviour in virtual environment,
traditional or conventional didactic learning is limited in providing flexible or dynamic e …

On predicting learning styles in conversational intelligent tutoring systems using fuzzy decision trees

K Crockett, A Latham, N Whitton - International Journal of Human …, 2017 - Elsevier
Abstract Intelligent Tutoring Systems personalise learning for students with different
backgrounds, abilities, behaviours and knowledge. One way to personalise learning is …