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Fahmid Morshed Fahid
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TERMINATOR: better automated UI test case prioritization
Z Yu, F Fahid, T Menzies, G Rothermel, K Patrick, S Cherian
Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019
542019
Identifying self-admitted technical debts with jitterbug: A two-step approach
Z Yu, FM Fahid, H Tu, T Menzies
IEEE Transactions on Software Engineering 48 (5), 1676-1691, 2020
522020
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
J Chakraborty, T Xia, FM Fahid, T Menzies
arXiv preprint arXiv:1905.05786, 2019
492019
Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Coding Environment
JB Wiggins, FM Fahid, A Emerson, M Hinckle, A Smith, KE Boyer, B Mott, ...
Proceedings of the 52nd ACM Technical Symposium on Computer Science …, 2021
202021
Adaptively scaffolding cognitive engagement with batch constrained deep Q-networks
FM Fahid, JP Rowe, RD Spain, BS Goldberg, R Pokorny, J Lester
International conference on artificial intelligence in education, 113-124, 2021
182021
Assessing practitioner beliefs about software engineering
NC Shrikanth, W Nichols, FM Fahid, T Menzies
Empirical Software Engineering 26 (4), 73, 2021
172021
Progression trajectory-based student modeling for novice block-based programming
F Morshed Fahid, X Tian, A Emerson, J B. Wiggins, D Bounajim, A Smith, ...
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021
132021
Effects of Modalities in Detecting Behavioral Engagement in Collaborative Game-Based Learning
FM Fahid, S Lee, B Mott, J Vandenberg, H Acosta, T Brush, K Glazewski, ...
LAK23: 13th International Learning Analytics and Knowledge Conference, 208-218, 2023
82023
Applying Cognitive Load Theory to Examine STEM Undergraduate Students’ Experiences in An Adaptive Learning Environment: A Mixed-Methods Study
D Bounajim, A Rachmatullah, M Hinckle, B Mott, J Lester, A Smith, ...
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65 (1 …, 2021
82021
Better Technical Debt Detection via SURVEYing
FM Fahid, Z Yu, T Menzies
arXiv preprint arXiv:1905.08297, 2019
72019
Modeling Frustration Trajectories and Problem-Solving Behaviors in Adaptive Learning Environments for Introductory Computer Science
X Tian, JB Wiggins, FM Fahid, A Emerson, D Bounajim, A Smith, KE Boyer, ...
International Conference on Artificial Intelligence in Education, 355-360, 2021
42021
Robust Adaptive Scaffolding with Inverse Reinforcement Learning-Based Reward Design
FM Fahid, JP Rowe, RD Spain, BS Goldberg, R Pokorny, J Lester
International Conference on Artificial Intelligence in Education, 204-207, 2022
32022
LEARNER MODELING IN INTELLIGENT TUTORING SYSTEMS SWOTANALYSIS
J Lester, A Gupta, FM Fahid, J Pande
Design Recommendations for Intelligent Tutoring Systems, 43, 2023
22023
Learning to bid and rank together in recommendation systems
G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu
Machine Learning 113 (5), 2559-2573, 2024
12024
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
FM Fahid, J Rowe, Y Kim, S Srivastava, J Lester
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23191 …, 2024
12024
Multimodal behavioral disengagement detection for collaborative game-based learning
FM Fahid, H Acosta, S Lee, D Carpenter, B Mott, H Bae, A Saleh, T Brush, ...
International Conference on Artificial Intelligence in Education, 218-221, 2022
12022
Correction to: Learning to bid and rank together in recommendation systems
G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu
Machine Learning 113 (3), 1509-1509, 2024
2024
An Online Deep RL-Based Pedagogical Planning Framework for AI-Driven Learning Environments.
FM Fahid
2024
Learning to bid and rank together in recommendation systems (nov, 2023, 10.1007/s10994-023-06444-4)
G Ji, W Jiang, J Li, FM Fahid, Z Chen, Y Li, J Xiao, C Bao, Z Zhu
MACHINE LEARNING, 2024
2024
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