Mohammed Seyam

Orcid: 0000-0001-6831-3239

According to our database1, Mohammed Seyam authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Understanding the Performance of Large Language Model to Generate SQL Queries.
Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

Towards Establishing a Training Program to Support Future CS Teaching-focused Faculty.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Experiences of Instructors Who Teach Capstone Courses in Computing Fields.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Exploring Explainability and Transparency in Automated Essay Scoring Systems: A User-Centered Evaluation.
Proceedings of the Learning and Collaboration Technologies, 2024

2023
Exploring the Barriers and Factors that Influence Debugger Usage for Students.
Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

Diversity-focused Course Design for Computer Science Students: Incorporating Diversity Conference Attendance into Course Design and Delivery.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

The Intersection of Usability Evaluation and Machine Learning in Software Systems.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Identifying Usability Challenges in AI-Based Essay Grading Tools.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022
Predicting students' academic performance using machine learning techniques: a literature review.
Int. J. Bus. Intell. Data Min., 2022

2021
Prediction of Students' Academic Performance Based on Courses' Grades Using Deep Neural Networks.
IEEE Access, 2021

Deep Neural Networks for Predicting Students' Performance.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2017
Multifaceted Approach for Teaching Mobile Software Development: Class Experiences With Lectures, Tutorials, and Pair Programming.
PhD thesis, 2017

2016
Teaching Mobile Development with Pair Programming.
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Pair Programming for Teaching Mobile Development (Abstract Only).
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Teaching mobile application development through lectures, interactive tutorials, and Pair Programming.
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2015
User Interface Design and Agility: Practices for Integration in CS Classrooms (Abstract Only).
Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Collaborating on mobile app design through pair programming: A practice-oriented approach overview and expert review.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

Enhancing usability through agility: Pair programming for a practice-oriented integration approach.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015


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