Research Article
Scaffolding computer programming languages learning with tailored English vocabulary based on learners' performance states
@ARTICLE{10.4108/eai.26-5-2020.166350, author={Muhammad Adnan and Asad Habib and Jawad Ashraf and Shafaq Mussadiq and Arsalan Ali Raza}, title={Scaffolding computer programming languages learning with tailored English vocabulary based on learners' performance states}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={8}, number={30}, publisher={EAI}, journal_a={SIS}, year={2020}, month={9}, keywords={Programming languages learning, Algorithms, Self-regulated learning, Mobile learning, Mobile devices, Adaptive learning}, doi={10.4108/eai.26-5-2020.166350} }- Muhammad Adnan
Asad Habib
Jawad Ashraf
Shafaq Mussadiq
Arsalan Ali Raza
Year: 2020
Scaffolding computer programming languages learning with tailored English vocabulary based on learners' performance states
SIS
EAI
DOI: 10.4108/eai.26-5-2020.166350
Abstract
Due to the ubiquitous nature of mobile devices, they are now considered as an emerging platform for facilitating both teaching and learning experiences. In this paper, we presented a tailored mobile learning system, namely the Integrated English and Programming Language Learning System (IEPLS), which aims at learning English vocabulary before studying programming language concepts. The IEPLS supports programming language learning in three ways; (a) Recommending to learn specific English vocabulary used in programming language concepts (b) Adaptation to the learning flow of the learner and (c) Motivating and encouraging learners to learn items based on individual learner's performance. The IEPLS was used by one hundred and fifty undergraduate students for six months. Evaluation results revealed the attainment of IEPLS in supporting learners in learning programming languages backed by precise English vocabulary.
Copyright © 2020 Muhammad Adnan et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution andreproduction in any medium so long as the original work is properly cited.
