Skip to main navigation Skip to search Skip to main content

Project Details

Description

The proposed project aims at increasing the educational potential of the FGPE framework by enhancing its usability for both students and teachers, by: (1) enabling the automatic generation of gamified programming exercises, (2) enabling the effective use of the FGPE programming learning environment on mobile devices which are, for some period, disconnected from the Internet, (3) developing a full-fledged open online course for a popular programming language.

Key findings

The proposed project will produce the following results: (1) Programming Exercise Gamifizer - an open-source software, (2) Client-side Evaluation Engine - an open-source software, (3) a full-fledged FGPE-supported and LMS-compliant open gamified course for a popular programming language - an open educational material.
The project outcomes will include: reducing the requirements in skills for gamifying programming courses and improving the usability of the FGPE platform.
Short titleFGPE++
StatusFinished
Effective start/end date01/10/202330/09/2025

Collaborative partners

  • University of Naples Parthenope (Project partner)
  • University of Szczecin (Project partner) (lead)
  • Kaunas University of Technology (Project partner)
  • INESC TEC (Project partner)

Funding

  • ERASMUS+: DKK1,864,137.00

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 project contributes towards the following SDG(s):

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • GAMAI, an AI-Powered Programming Exercise Gamifier Tool

    Montella, R., Giuseppe De Vita, C., Mellone, G., Ciricillo, T., Caramiello, D., Di Luccio, D., Kosta, S., Damasevicius, R., Maskeliunas, R., Queiros, R. & Swacha, J., 2024, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 25th International Conference, AIED 2024, Proceedings. Olney, A. M., Chounta, I.-A., Liu, Z., Santos, O. C. & Bittencourt, I. I. (eds.). Springer, p. 485-493 9 p. (Communications in Computer and Information Science, Vol. 2150 CCIS).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
    88 Downloads (Pure)
  • Leveraging Large Language Models to Support Authoring Gamified Programming Exercises

    Montella, R., De Vita, C. G., Mellone, G., Ciricillo, T., Caramiello, D., Di Luccio, D., Kosta, S., Damaševičius, R., Maskeliūnas, R., Queirós, R. & Swacha, J., Sept 2024, In: Applied Sciences (Switzerland). 14, 18, 8344.

    Research output: Contribution to journalJournal articleResearchpeer-review

    Open Access
    File
    164 Downloads (Pure)