A Study about Future Prospects of JupyterHub in MOOCs. - Mohamed Elhayany; Ranjiraj-Rajendran Nair; Thomas Staubitz; Christoph Meinel (L@S, 2022)

Analysis of the Applicability of General Scaling Laws on Course Size, Completion Rates, and Forum Activity in MOOCs. - Thomas Staubitz; Max Bothe; Mohamed Elhayany; Christiane Hagedorn; Sebastian Serth; Theresa Zobel; Christoph Meinel (L@S, 2022)

Towards Automated Code Assessment with OpenJupyter in MOOCs. - Mohamed Elhayany; Christoph Meinel (L@S, 2023)

Exploring the Effectiveness of Web-Based Programming Environments for MOOCs: A Comparative Study of CodeOcean and OpenJupyter. - Mohamed Elhayany; Sebastian Serth; Christoph Meinel (LWMOOCS, 2023)

Adaptive Learning at Scale: Investigating the Effects of Automated Formative Feedback in MOOC-based Data Science Learning. - Mohamed Elhayany; Hendrik Steinbeck; Christoph Meinel (GeCon, 2024)

Millions of Views, But Does It Promote Learning? Analyzing Popular SciComm Production Styles Regarding Learning Success, User Behavior and Perception. - Hendrik Steinbeck; Mohamed Elhayany; Christoph Meinel (LAK, 2024)

When GPT-4 Goes to Class: Benchmarking MOOCs and Enhancing Course Design with AI. - Mohamed Elhayany; Christoph Meinel (AIED (5), 2025)

Empowering Educators: Towards a GPT-Based Approach to Automate Unit Test Generation. - Mohamed Elhayany; Christoph Meinel (EDUCON, 2025)