Mohammed F. Farghally

According to our database, Mohammed F. Farghally authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets.

Naglaa Abdelhady, Taysir Hassan A. Soliman, Mohammed F. Farghally

J. Cloud Comput., December, 2024

Towards Establishing a Training Program to Support Future CS Teaching-focused Faculty.

Mohammed F. Farghally, Mohammed Seyam, Cliff A. Shaffer

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

An Interactive Visual Presentation of Core Database Design Concepts.

Noha Abdelaziz, Mohammed Farghally, Mostafa Mohammed, Taysir Hassan A. Soliman

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 2024

Experiences of Instructors Who Teach Capstone Courses in Computing Fields.

Sara Hooshangi, Asma Shakil, Subhasish Dasgupta, Karen C. Davis, Mohammed Farghally, KellyAnn Fitzpatrick, Mirela Gutica, Ryan Hardt, Ellie Lovellette, Steve Riddle, Mohammed Seyam

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

Developing Analytical Tools for Arabic Sentiment Analysis of COVID-19 Data.

Naglaa Abdelhady, Ibrahim E. El-Semman, Mohammed F. Farghally, Taysir Hassan A. Soliman

Algorithms, July, 2023

Arguments for and Approaches to Computing Education in Undergraduate Computer Science Programmes.

Quintin I. Cutts, Maria Kallia, Ruth Anderson, Tom Crick, Marie Devlin, Mohammed Farghally, Claudio Mirolo, Ragnhild Kobro Runde, Otto Seppälä, Jaime Urquiza-Fuentes, Jan Vahrenhold

Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Considering Computing Education in Undergraduate Computer Science Programmes.

Quintin I. Cutts, Maria Kallia, Ruth Anderson, Tom Crick, Marie Devlin, Mohammed Farghally, Claudio Mirolo, Ragnhild Kobro Runde, Otto Seppälä, Jaime Urquiza-Fuentes, Jan Vahrenhold

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

Analyzing Student Session Data in an eTextbook.

Samnyeong Heo, Mohammed F. Farghally, Mostafa Mohammed, Clifford A. Shaffer

Proceedings of the Fifth International Workshop on Intelligent Textbooks 2023 co-located with the 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

2022

Evaluation of the Quality of Exercises for the Data Structures' eTextbook and Find the Difficult Topics Using Item Response Theory and Logged Data Analysis.

Ahmed Abd Elrahman, Taysir Hassan A. Soliman, Mohammed F. Farghally, Ahmed I. Taloba

CoRR, 2022

A Predictive Model for Student Performance in Classrooms Using Student Interactions With an eTextbook.

Ahmed Abd Elrahman, Taysir Hassan A. Soliman, Ahmed I. Taloba, Mohammed F. Farghally

CoRR, 2022

2021

A New Cascade-Correlation Growing Deep Learning Neural Network Algorithm.

Soha Abd El-Moamen Mohamed, Marghany Hassan Mohamed, Mohammed F. Farghally

Algorithms, 2021

The Online Transition of Two CS Courses in Response to COVID-19.

Mohammed F. Farghally, Mostafa Mohammed, Hamdy F. F. Mahmoud, Margaret Ellis, Derek Haqq, Molly Domino, Brett Jones, Clifford A. Shaffer

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2018

Experience: Learner Analytics Data Quality for an eTextbook System.

Kyu Han Koh, Eric Fouh, Mohammed F. Farghally, Hossameldin Shahin, Clifford A. Shaffer

ACM J. Data Inf. Qual., 2018

2017

Evaluating the Effectiveness of Algorithm Analysis Visualizations.

Mohammed F. Farghally, Kyu Han Koh, Hossameldin Shahin, Clifford A. Shaffer

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Towards a Concept Inventory for Algorithm Analysis Topics.

Mohammed F. Farghally, Kyu Han Koh, Jeremy V. Ernst, Clifford A. Shaffer

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

2016

Visualizing Algorithm Analysis Topics (Abstract Only).

Mohammed F. Farghally, Eric Fouh, Sally Hamouda, Kyu Han Koh, Clifford A. Shaffer

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis.

Eric Fouh, Mohammed F. Farghally, Sally Hamouda, Kyu Han Koh, Clifford A. Shaffer

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2014

Exploring students learning behavior with an interactive etextbook in computer science courses.

Eric Fouh, Daniel A. Breakiron, Sally Hamouda, Mohammed F. Farghally, Clifford A. Shaffer

Comput. Hum. Behav., 2014