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Jason Bernard
Jason Bernard
未知所在单位机构
在 cmail.carleton.ca 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1692017
Using artificial neural networks to identify learning styles
J Bernard, TW Chang, E Popescu, S Graf
Artificial Intelligence in Education: 17th International Conference, AIED …, 2015
612015
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 131, 109779, 2022
162022
Algorithms for inferring context-sensitive L-systems
I McQuillan, J Bernard, P Prusinkiewicz
Unconventional Computation and Natural Computation: 17th International …, 2018
142018
Techniques for inferring context-free Lindenmayer systems with genetic algorithm
J Bernard, I McQuillan
Swarm and Evolutionary Computation 64, 100893, 2021
112021
A fast and reliable hybrid approach for inferring L-systems
J Bernard, I McQuillan
Artificial Life Conference Proceedings, 444-451, 2018
112018
New techniques for inferring L-systems using genetic algorithm
J Bernard, I McQuillan
Bioinspired Optimization Methods and Their Applications: 8th International …, 2018
112018
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
82016
Stochastic L-system inference from multiple string sequence inputs
J Bernard, I McQuillan
Soft Computing 27 (10), 6783-6798, 2023
72023
Inferring stochastic L-systems using a hybrid greedy algorithm
J Bernard, I McQuillan
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
52018
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
22021
Optimizing pattern weights with a genetic algorithm to improve automatic working memory capacity identification
J Bernard, TW Chang, E Popescu, S Graf
Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 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
Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming
J Bernard, I McQuillan
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
12020
Automated grading of anatomical objective structured practical examinations using decision trees: An artificial intelligence approach
J Bernard, R Sonnadara, AN Saraco, JP Mitchell, AB Bak, I Bayer, ...
Anatomical Sciences Education 17 (5), 967-978, 2024
2024
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, ...
The FASEB Journal 36, 2022
2022
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
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
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