[HTML][HTML] Applications and challenges of implementing artificial intelligence in medical education: integrative review

KS Chan, N Zary - JMIR medical education, 2019 - mededu.jmir.org
Background: Since the advent of artificial intelligence (AI) in 1955, the applications of AI
have increased over the years within a rapidly changing digital landscape where public …

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 …

Intelligent tutoring systems and learning outcomes: A meta-analysis.

W Ma, OO Adesope, JC Nesbit, Q Liu - Journal of educational …, 2014 - psycnet.apa.org
Abstract Intelligent Tutoring Systems (ITS) are computer programs that model learners'
psychological states to provide individualized instruction. They have been developed for …

A comprehensive analysis of personalized learning components

A Shemshack, Kinshuk, JM Spector - Journal of Computers in Education, 2021 - Springer
Personalized learning is a learning approach that aims to personalize the learning
experience according to the unique needs, goals, and skills of individuals which can be …

Efficacy of adaptive e-learning for health professionals and students: a systematic review and meta-analysis

G Fontaine, S Cossette, MA Maheu-Cadotte… - BMJ open, 2019 - bmjopen.bmj.com
Objective Although adaptive e-learning environments (AEEs) can provide personalised
instruction to health professional and students, their efficacy remains unclear. Therefore, this …

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 …

A conversational intelligent tutoring system to automatically predict learning styles

A Latham, K Crockett, D McLean, B Edmonds - Computers & Education, 2012 - Elsevier
This paper proposes a generic methodology and architecture for developing a novel
conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring …

Scaffolding for optimal challenge in K–12 problem-based learning

NJ Kim, BR Belland, D Axelrod - Interdisciplinary Journal of …, 2019 - docs.lib.purdue.edu
Establishing optimal challenge enhances intrinsic motivation, interest, and the probability of
success in the learning activity. In K–12 problem-based learning (PBL), students may …

Knowledge graph assisted end-to-end medical dialog generation

D Varshney, A Zafar, NK Behera, A Ekbal - Artificial Intelligence in Medicine, 2023 - Elsevier
Medical dialog systems have the potential to assist e-medicine in improving access to
healthcare services, improving patient treatment quality, and lowering medical expenses. In …

Fifteen years of constraint-based tutors: what we have achieved and where we are going

A Mitrovic - User modeling and user-adapted interaction, 2012 - Springer
Fifteen years ago, research started on SQL-Tutor, the first constraint-based tutor. The initial
efforts were focused on evaluating Constraint-Based Modeling (CBM), its effectiveness and …