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2020 – today
- 2024
[c15]Erin Hall, Mohammed Seyam, Daniel Dunlap:
Exploring Explainability and Transparency in Automated Essay Scoring Systems: A User-Centered Evaluation. HCI (41) 2024: 266-282- [c14]Sara Hooshangi
, Asma Shakil, Subhasish Dasgupta, Karen C. Davis, Mohammed Farghally, KellyAnn Fitzpatrick, Mirela Gutica, Ryan Hardt, Ellie Lovellette, Steve Riddle, Mohammed Seyam:
Experiences of Instructors Who Teach Capstone Courses in Computing Fields. ITiCSE (2) 2024 - [c13]Mohammed F. Farghally, Mohammed Seyam, Cliff A. Shaffer:
Towards Establishing a Training Program to Support Future CS Teaching-focused Faculty. SIGCSE (1) 2024: 338-344 - [c12]Minhyuk Ko, Dibyendu Brinto Bose, Weilu Wang, Mohammed Seyam, Chris Brown:
Understanding the Performance of Large Language Model to Generate SQL Queries. VL/HCC 2024: 359-361 - 2023
- [c11]Erin Hall, Mohammed Seyam, Daniel Dunlap:
Identifying Usability Challenges in AI-Based Essay Grading Tools. AIED (Posters/Late Breaking Results/...) 2023: 675-680 - [c10]Richard Torres-Molina, Mohammed Seyam:
The Intersection of Usability Evaluation and Machine Learning in Software Systems. CogMI 2023: 122-127 - [c9]Mohammed Seyam, Mervat Abu-Elkheir:
Diversity-focused Course Design for Computer Science Students: Incorporating Diversity Conference Attendance into Course Design and Delivery. ITiCSE (1) 2023: 40-46 - [c8]Minhyuk Ko, Dibyendu Brinto Bose, Hemayet Ahmed Chowdhury, Mohammed Seyam, Chris Brown:
Exploring the Barriers and Factors that Influence Debugger Usage for Students. VL/HCC 2023: 168-172 - 2022
- [j2]Aya Nabil, Mohammed Seyam, Ahmed Abou Elfetouh:
Predicting students' academic performance using machine learning techniques: a literature review. Int. J. Bus. Intell. Data Min. 20(4): 456-479 (2022) - 2021
- [j1]Aya Nabil, Mohammed Seyam, Ahmed Abou Elfetouh:
Prediction of Students' Academic Performance Based on Courses' Grades Using Deep Neural Networks. IEEE Access 9: 140731-140746 (2021) - [c7]Aya Nabil, Mohammed Seyam, Ahmed Abou Elfetouh:
Deep Neural Networks for Predicting Students' Performance. SIGCSE 2021: 1380
2010 – 2019
- 2017
- [b1]Mohammed Seyam:
Multifaceted Approach for Teaching Mobile Software Development: Class Experiences With Lectures, Tutorials, and Pair Programming. Virginia Tech, Blacksburg, VA, USA, 2017 - 2016
- [c6]Mohammed Seyam, D. Scott McCrickard, Shuo Niu, Andrey Esakia, Woongsup Kim:
Teaching mobile application development through lectures, interactive tutorials, and Pair Programming. FIE 2016: 1-9 - [c5]Mohammed Seyam, D. Scott McCrickard:
Teaching Mobile Development with Pair Programming. SIGCSE 2016: 96-101 - [c4]Mohammed Seyam:
Pair Programming for Teaching Mobile Development (Abstract Only). SIGCSE 2016: 724 - 2015
- [c3]Mohammed Seyam, D. Scott McCrickard:
Collaborating on mobile app design through pair programming: A practice-oriented approach overview and expert review. CTS 2015: 124-131 - [c2]Mohammed Seyam:
Enhancing usability through agility: Pair programming for a practice-oriented integration approach. CTS 2015: 460-463 - [c1]Mohammed Seyam:
User Interface Design and Agility: Practices for Integration in CS Classrooms (Abstract Only). SIGCSE 2015: 720
Coauthor Index
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