Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH scholarly article en Queirós, Ricardo http://www.dagstuhl.de/oasics License
when quoting this document, please refer to the following
DOI:
URN: urn:nbn:de:0030-drops-92605
URL:

LearnJS - A JavaScript Learning Playground (Short Paper)

pdf-format:


Abstract

The JavaScript ecosystem is evolving dramatically. Nowadays, the language is no longer confined to the boundaries of the browser and is now running in both sides of the Web stack. At the same time, JavaScript it's starting to play also an important role in desktop and mobile applications development. These facts are leading companies to massively adopt JavaScript in their Web/mobile projects and schools to augment the language spectrum among their courses curricula. Several platforms appeared in recent years aiming to foster the learning of the JavaScript language. Those platforms are mainly characterized with sophisticated UI which allow users to learn JavaScript in a playful and interactive way. Despite its apparent success, these environments are not suitable to be integrated in existent educational platforms. Beyond these interoperability issues, most of these platforms are rigid not allowing teachers to contribute with new exercises, organize the existent exercises in more suitable and modular activities to be deployed in their courses, neither keep track of student's progress. This paper presents LearnJS as a simple and flexible platform to teach and learn JavaScript. In this platform, instructors can contribute with new exercises and combine them with expositive resources (e.g videos) to define specific course activities. These activities can be gamified with the injection of dynamic attributes to reward the most successful attempts. Finally, instructors can deploy activities in their educational platforms. On the other hand, learners can solve exercises and receive immediate feedback on their solutions through static and dynamic analyzers. Since we are in the early stages of implementation, the paper focus on the presentation of the LearnJS architecture, their main components and their data and integration models. Nevertheless, a prototype of the platform is available in a GitHub repository.

BibTeX - Entry

@InProceedings{queirs:OASIcs:2018:9260,
  author =	{Ricardo Queir{\'o}s},
  title =	{{LearnJS - A JavaScript Learning Playground (Short Paper)}},
  booktitle =	{7th Symposium on Languages, Applications and Technologies  (SLATE 2018)},
  pages =	{2:1--2:9},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-072-9},
  ISSN =	{2190-6807},
  year =	{2018},
  volume =	{62},
  editor =	{Pedro Rangel Henriques and Jos{\'e} Paulo Leal and Ant{\'o}nio Menezes Leit{\~a}o and Xavier G{\'o}mez Guinovart},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9260},
  URN =		{urn:nbn:de:0030-drops-92605},
  doi =		{10.4230/OASIcs.SLATE.2018.2},
  annote =	{Keywords: Web development, programming, e-learning, automatic evaluation}
}

Keywords: Web development, programming, e-learning, automatic evaluation
Seminar: 7th Symposium on Languages, Applications and Technologies (SLATE 2018)
Issue date: 2018
Date of publication: 2018


DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI