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Mohamed Elhayany

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2020 – today

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2024
[c6]
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  dblp key:
  - conf/gecon2/ElhayanySM24
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  - https://dblp.org/rec/conf/gecon2/ElhayanySM24
Mohamed Elhayany, Hendrik Steinbeck, Christoph Meinel:
Adaptive Learning at Scale: Investigating the Effects of Automated Formative Feedback in MOOC-based Data Science Learning. GeCon 2024: 1-6
[c5]
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  - conf/lak/SteinbeckEM24
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Hendrik Steinbeck, Mohamed Elhayany, Christoph Meinel:
Millions of Views, But Does It Promote Learning? Analyzing Popular SciComm Production Styles Regarding Learning Success, User Behavior and Perception. LAK 2024: 134-144
2023
[c4]
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  - conf/lats/ElhayanyM23
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Mohamed Elhayany, Christoph Meinel:
Towards Automated Code Assessment with OpenJupyter in MOOCs. L@S 2023: 321-325
[c3]
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  - conf/lwmoocs/ElhayanySM23
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Mohamed Elhayany, Sebastian Serth, Christoph Meinel:
Exploring the Effectiveness of Web-Based Programming Environments for MOOCs: A Comparative Study of CodeOcean and OpenJupyter. LWMOOCS 2023: 1-6
2022
[c2]
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  - conf/lats/ElhayanyNSM22
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Mohamed Elhayany, Ranjiraj-Rajendran Nair, Thomas Staubitz, Christoph Meinel:
A Study about Future Prospects of JupyterHub in MOOCs. L@S 2022: 275-279
[c1]
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  - conf/lats/StaubitzBEHSZM22
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Thomas Staubitz, Max Bothe, Mohamed Elhayany, Christiane Hagedorn, Sebastian Serth, Theresa Zobel, Christoph Meinel:
Analysis of the Applicability of General Scaling Laws on Course Size, Completion Rates, and Forum Activity in MOOCs. L@S 2022: 294-298

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