SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Colombo Antonio)
 

Sökning: WFRF:(Colombo Antonio) > (2020-2022) > POLYGLOT for Gamifi...

POLYGLOT for Gamified Education : Mixing Modelling and Programming Exercises

Bucchiarone, A. (författare)
Fondazione Bruno Kessler, Trento, Italy
Martorella, T. (författare)
Universita' Di Pisa, Pisa, Italy
Colombo, D. (författare)
Microsoft Corporation, Redmond, WA, United States
visa fler...
Cicchetti, Antonio (författare)
Mälardalens universitet,Inbyggda system
Marconi, A. (författare)
Fondazione Bruno Kessler, Trento, Italy
visa färre...
 (creator_code:org_t)
IEEE, 2021
2021
Engelska.
Ingår i: Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021. - : IEEE. - 9781665424844 ; , s. 606-610
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Gamification refers to the employment of gaming mechanisms for non-gaming purposes. Its aim is promoting the engagement of target users in pursuing certain goals, e.g. completing education paths. In this paper we present POLYGLOT, a gamified notebook-like programming environment. The gamification extension was built to target programming languages education, and in this work we illustrate how the approach is adaptable to text-based modelling languages. In particular, we demonstrate the use of gamification tailored to SysML v2 modelling.Each exercise is defined as a sequence of steps framed into notebook cells. On each cell submission, the POLYGLOT extension for.NET interactive runs several analyzers to gain insights of the student code before invoking the gamification engine, which checks if the gathered data fits the teacher-defined expectations. Interestingly, since cell contents are language independent and exercise evaluations are delegated to the gamification engine, this solution enables the creation of heterogeneous narratives, that is gamification scenarios mixing languages in the proposed exercises. 

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)
kon (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy