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Mohammed F Farghally
Mohammed F Farghally
Collegiate Assistant Professor, Virginia Tech, USA
Verified email at vt.edu - Homepage
Title
Cited by
Cited by
Year
Exploring students learning behavior with an interactive etextbook in computer science courses
E Fouh, DA Breakiron, S Hamouda, MF Farghally, CA Shaffer
Computers in Human Behavior 41, 478-485, 2014
772014
Arabic aspect based sentiment analysis using bidirectional GRU based models
MM Abdelgwad, THA Soliman, AI Taloba, MF Farghaly
Journal of King Saud University - Computer and Information Sciences, 2021
752021
Towards a concept inventory for algorithm analysis topics
MF Farghally, KH Koh, JV Ernst, CA Shaffer
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science …, 2017
412017
Evaluating the effectiveness of algorithm analysis visualizations
MF Farghally, KH Koh, H Shahin, CA Shaffer
Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science …, 2017
252017
A new cascade-correlation growing deep learning neural network algorithm
SAEM Mohamed, MH Mohamed, MF Farghally
Algorithms 14 (5), 158, 2021
192021
Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis
E Fouh, MF Farghally, S Hamouda, KH Koh, CA Shaffer
9th International Conference on Educational Data Mining, 2016
152016
On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection
MH Soleimani-Babakamali, R Soleimani-Babakamali, R Sarlo, ...
Mechanical Systems and Signal Processing 187, 109910, 2023
102023
Experience: Learner analytics data quality for an etextbook system
KH Koh, E Fouh, MF Farghally, H Shahin, CA Shaffer
Journal of Data and Information Quality (JDIQ) 9 (2), 1-10, 2018
102018
Automating Learner Feedback in an eTextbook for Data Structures and Algorithms Courses
CAS E. Fouh, S. Hamouda, M.F. Farghally
In Challenges in ICT Education: Formative Assessment, Learning Data …, 2016
8*2016
The online transition of two CS courses in response to COVID-19
MF Farghally, M Mohammed, H Mahmoud, M Ellis, D Haqq, M Domino, ...
Proceedings of the 2021 ACM SIGCSE Technical Symposium on Computer Science …, 2021
52021
Considering computing education in undergraduate computer science programmes
Q Cutts, M Kallia, R Anderson, T Crick, M Devlin, M Farghally, C Mirolo, ...
Proceedings of the 2023 Conference on Innovation and Technology in Computer …, 2023
42023
Visualizing Algorithm Analysis Topics
MF Farghally
Proceedings of the 47th ACM Technical Symposium on Computing Science …, 2016
42016
Developing Analytical Tools for Arabic Sentiment Analysis of COVID-19 Data
N Abdelhady, IE Elsemman, MF Farghally, THA Soliman
Algorithms 16 (7), 318, 2023
12023
Stacked-CNN-BiLSTM-COVID: An effective stacked ensemble deep learning framework for sentiment analysis of arabic COVID-19 tweets
N Abdelhady, THA Soliman, MF Farghally
12022
Student perceptions of the complete online transition of two CS courses in response to the COVID-19 pandemic
MF Farghally, M Mohammed, H Mahmoud, M Ellis, D Haqq, M Domino, ...
American Society For Engineering Education (ASEE) annual conference and …, 2021
12021
Towards Establishing a Training Program to Support Future CS Teaching-focused Faculty
M Farghally, M Seyam, CA Shaffer
Proceedings of the 55th ACM Technical Symposium on Computer Science …, 2024
2024
Arguments for and Approaches to Computing Education in Undergraduate Computer Science Programmes
Q Cutts, M Kallia, R Anderson, T Crick, M Devlin, M Farghally, C Mirolo, ...
Proceedings of the 2023 Working Group Reports on Innovation and Technology …, 2023
2023
Creating Session Data from eTextbook Event Streams
S Heo, MF Farghally, M Mohammed, CA Shaffer
Fifth Workshop on Intelligent Textbooks (iTextbooks), Tokyo, Japan, 2023
2023
Covid-19 Detection Based on Cascade-Correlation Growing Deep Learning Neural Network Algorithm.
SAEM Mohamed, MH Mohamed, MF Farghally
International Journal for Computers & Their Applications 29 (3), 2022
2022
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Articles 1–19