Marcus Messer
  • 81
    Citations

Personal profile

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education

Education/Academic qualification

Computer Science, Master in Science, Intergrated Masters in Computer Science with a Year in Industry, Royal Holloway, University of London

Sept 2016Jun 2021

Award Date: 16 Jun 2021

External positions

Teaching Assistant, King's College London

1 Oct 2021 → …

Keywords

  • QA76 Computer software
  • Educational Research

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  • 1 Similar Profiles
  • Grading Programming Assignments with an Automated Grading and Feedback Assistant

    Messer, M., 28 Jul 2022, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022, Proceedings. Rodrigo, M. M., Matsuda, N., Cristea, A. I. & Dimitrova, V. (eds.). SpringerLink, p. 35-40 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13356 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
    File
    1 Citation (Scopus)
    105 Downloads (Pure)
  • Detecting When a Learner Requires Assistance with Programming and Delivering a Useful Hint

    Messer, M., 22 Jul 2022, Proceedings of the 15th International Conference on Educational Data Mining.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
    3 Citations (Scopus)
    1 Downloads (Pure)
  • Automated Grading and Feedback of Programming Assignments

    Messer, M., 7 Jul 2022, Proceedings of the 27th ACM Conference on Innovation and Technology in Computer Science Education Vol 2. ACM, 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Open Access
    File
    279 Downloads (Pure)
  • Can GPT4 Generate Effective Feedback on Code Readability?

    Su, X., Song, Y., Messer, M., Savelka, J., Cutumisu, M. & Yang, A. Y., Apr 2025, (Accepted/In press) Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2025). ACM

    Research output: Chapter in Book/Report/Conference proceedingPoster abstractpeer-review

    Open Access
    File
    52 Downloads (Pure)
  • Open Access
    File
    64 Citations (Scopus)
    675 Downloads (Pure)