FGPE+: The Mobile FGPE Environment and the Pareto-Optimized Gamified Programming Exercise Selection Model—An Empirical Evaluation

FGPE+: The Mobile FGPE Environment and the Pareto-Optimized Gamified Programming Exercise Selection Model—An Empirical Evaluation

This paper is poised to inform educators, policy makers and software developers about the untapped potential of PWAs in creating engaging, effective, and personalized learning experiences in the field of programming education. We aim to address a significant gap in the current understanding of the p...

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Bibliographic Details
Main Authors: Rytis Maskeliūnas, Robertas Damaševičius, Tomas Blažauskas, Jakub Swacha, Ricardo Queirós, José Carlos Paiva
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Computers
Subjects:
FGPE
pareto optimization
gamified programming
personalized learning
adaptive learning
progressive Web Applications (PWAs)
Online Access:https://www.mdpi.com/2073-431X/12/7/144

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https://www.mdpi.com/2073-431X/12/7/144

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