Follow
Jason Bernard
Jason Bernard
McMaster University
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms
J Bernard, TW Chang, E Popescu, S Graf
Expert Systems with Applications 75, 94-108, 2017
1292017
Using artificial neural networks to identify learning styles
J Bernard, TW Chang, E Popescu, S Graf
International Conference on Artificial Intelligence in Education, 541-544, 2015
432015
A fast and reliable hybrid approach for inferring L-systems
J Bernard, I McQuillan
ALIFE 2018: The 2018 Conference on Artificial Life, 444-451, 2018
92018
Algorithms for inferring context-sensitive L-systems
I McQuillan, J Bernard, P Prusinkiewicz
International Conference on Unconventional Computation and Natural …, 2018
72018
New Techniques for Inferring L-systems Using Genetic Algorithm
J Bernard, I McQuillan
International Conference on Bioinspired Methods and Their Applications, 13-25, 2018
72018
Improving learning style identification by considering different weights of behavior patterns using particle swarm optimization
J Bernard, TW Chang, E Popescu, S Graf
State-of-the-Art and Future Directions of Smart Learning, 39-49, 2016
72016
Inferring stochastic L-systems using a hybrid greedy algorithm
J Bernard, I McQuillan
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
22018
Optimizing pattern weights with a genetic algorithm to improve automatic working memory capacity identification
J Bernard, TW Chang, E Popescu, S Graf
International Conference on Intelligent Tutoring Systems, 334-340, 2016
22016
Improving Learning Based on the Identification of Working Memory Capacity, Adaptive Context Systems, Collaborative Learning and Learning Analytics
RAW Tortorella, D Hobbs, J Kurcz, J Bernard, S Baldiris, TW Chang, ...
Proceedings of Science and Technology Innovations, 39-55, 2015
22015
Stochastic L-system inference from multiple string sequence inputs
J Bernard, I McQuillan
arXiv preprint arXiv:2001.10922, 2020
12020
Improving online education through automatic learning style identification using a multi-step architecture with ant colony system and Artificial Neural Networks
J Bernard, E Popescu, S Graf
Applied Soft Computing, 109779, 2022
2022
Development and Implementation of an Online OSPE Test Bank Graded by Artificial Intelligence.
V Coelho, L Amoudi, G Segovia, P Vejdani, M Varambally, T Wang, A Ball, ...
FASEB Journal: Official Publication of the Federation of American Societies …, 2022
2022
Techniques for inferring context-free Lindenmayer systems with genetic algorithm
J Bernard, I McQuillan
Swarm and Evolutionary Computation 64, 100893, 2021
2021
Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees
J Bernard, R Sonnadara, AN Saraco, JP Mitchell, AB Bak, I Bayer, ...
arXiv preprint arXiv:2106.00502, 2021
2021
The Brave New World of Anatomy: Using AI to Grade Practical Examinations
A Bak, J Bernard, A Saraco, J Mitchell, I Bayer, R Sonnadara, B Wainman
The FASEB Journal 35, 2021
2021
Grading OSPE Questions with Decision Learning Trees: A First Step Towards an Intelligent Tutoring System for Anatomical Education.
J Bernard, BC Wainman, O'llenecia Walker, C Pitt, AB Bak, JP Mitchell, ...
HUMAN@ AAAI Fall Symposium, 2021
2021
Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming
J Bernard, I McQuillan
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
2020
Inferring Different Types of Lindenmayer Systems Using Artificial Intelligence
J Bernard
University of Saskatchewan, 2020
2020
Automatic identification of learning styles and working memory capacity from student behaviors using computational intelligence algorithms
J Bernard
2016
The system can't perform the operation now. Try again later.
Articles 1–19