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Samiha Marwan
Samiha Marwan
University of Virginia
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Year
Adaptive immediate feedback can improve novice programming engagement and intention to persist in computer science
S Marwan, G Gao, S Fisk, TW Price, T Barnes
Proceedings of the 2020 ACM conference on international computing education …, 2020
982020
An evaluation of the impact of automated programming hints on performance and learning
S Marwan, J Jay Williams, T Price
Proceedings of the 2019 ACM Conference on International Computing Education …, 2019
672019
Exploring the impact of worked examples in a novice programming environment
R Zhi, TW Price, S Marwan, A Milliken, T Barnes, M Chi
Proceedings of the 50th acm technical symposium on computer science …, 2019
542019
The impact of adding textual explanations to next-step hints in a novice programming environment
S Marwan, N Lytle, JJ Williams, T Price
Proceedings of the 2019 ACM conference on innovation and technology in …, 2019
502019
Defining tinkering behavior in open-ended block-based programming assignments
Y Dong, S Marwan, V Catete, T Price, T Barnes
Proceedings of the 50th ACM Technical Symposium on Computer Science …, 2019
502019
DNA-based cryptographic methods for data hiding in DNA media
S Marwan, A Shawish, K Nagaty
Biosystems 150, 110-118, 2016
442016
Unproductive help-seeking in programming: What it is and how to address it
S Marwan, A Dombe, TW Price
Proceedings of the 2020 ACM conference on innovation and technology in …, 2020
402020
Toward semi-automatic misconception discovery using code embeddings
Y Shi, K Shah, W Wang, S Marwan, P Penmetsa, T Price
LAK21: 11th International Learning Analytics and Knowledge Conference, 606-612, 2021
362021
Step tutor: Supporting students through step-by-step example-based feedback
W Wang, Y Rao, R Zhi, S Marwan, G Gao, TW Price
Proceedings of the 2020 ACM conference on innovation and technology in …, 2020
312020
Toward Data-Driven Example Feedback for Novice Programming.
R Zhi, S Marwan, Y Dong, N Lytle, TW Price, T Barnes
International Educational Data Mining Society, 2019
312019
Towards giving timely formative feedback and hints to novice programmers
J Jeuring, H Keuning, S Marwan, D Bouvier, C Izu, N Kiesler, T Lehtinen, ...
Proceedings of the 2022 Working Group Reports on Innovation and Technology …, 2022
242022
Early performance prediction using interpretable patterns in programming process data
G Gao, S Marwan, TW Price
Proceedings of the 52nd ACM technical symposium on computer science …, 2021
182021
Engaging students with instructor solutions in online programming homework
TW Price, JJ Williams, J Solyst, S Marwan
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
162020
Adaptive immediate feedback for block-based programming: Design and evaluation
S Marwan, B Akram, T Barnes, TW Price
IEEE Transactions on Learning Technologies 15 (3), 406-420, 2022
152022
What time is it? student modeling needs to know
Y Mao, S Marwan
In proceedings of the 13th International Conference on Educational Data Mining, 2020
152020
Utilizing DNA Strands for Secured Data-Hiding with High Capacity.
S Marwan, A Shawish, K Nagaty
International Journal of Interactive Mobile Technologies 11 (2), 2017
152017
An Enhanced DNA-based Steganography Technique with a Higher Hiding Capacity.
S Marwan, A Shawish, KA Nagaty
Bioinformatics, 150-157, 2015
132015
Knowing" When" and" Where": Temporal-ASTNN for Student Learning Progression in Novice Programming Tasks.
Y Mao, Y Shi, S Marwan, TW Price, T Barnes, M Chi
International Educational Data Mining Society., 2021
122021
Using Student Trace Logs to Determine Meaningful Progress and Struggle during Programming Problem Solving.
Y Dong, S Marwan, P Shabrina, T Price, T Barnes
International Educational Data Mining Society, 2021
122021
Just a Few Expert Constraints Can Help: Humanizing Data-Driven Subgoal Detection for Novice Programming.
S Marwan, Y Shi, I Menezes, M Chi, T Barnes, TW Price
International Educational Data Mining Society, 2021
122021
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