Publication
LearnJS - a JavaScript learning playground
| dc.contributor.author | Queirós, Ricardo | |
| dc.date.accessioned | 2019-11-07T14:45:41Z | |
| dc.date.available | 2019-11-07T14:45:41Z | |
| dc.date.issued | 2018 | |
| dc.description.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. | pt_PT |
| dc.description.sponsorship | FourEyes is a Research Line within project “TEC4Growth – Pervasive Intelligence, Enhancers and Proofs of Concept with Industrial Impact/NORTE-01-0145-FEDER-000020” financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.4230/OASIcs.SLATE.2018.2 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/14784 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Schloss Dagstuhl - Leibniz-Zentrum für Informatik | pt_PT |
| dc.relation | NORTE-01-0145-FEDER-000020 | |
| dc.relation.publisherversion | http://drops.dagstuhl.de/opus/volltexte/2018/9260/pdf/OASIcs-SLATE-2018-2.pdf | pt_PT |
| dc.subject | Web development | pt_PT |
| dc.subject | Programming | pt_PT |
| dc.subject | E-learning | pt_PT |
| dc.subject | Automatic evaluation | pt_PT |
| dc.title | LearnJS - a JavaScript learning playground | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Guimarães, Portugal | pt_PT |
| oaire.citation.endPage | 2:9 | pt_PT |
| oaire.citation.startPage | 2:1 | pt_PT |
| oaire.citation.title | 7th Symposium on Languages, Applications and Technologies SLATE 2018 | pt_PT |
| person.familyName | Queirós | |
| person.givenName | Ricardo | |
| person.identifier | R-000-MDC | |
| person.identifier.ciencia-id | 711A-CAB3-7A23 | |
| person.identifier.orcid | 0000-0002-1985-6285 | |
| person.identifier.scopus-author-id | 26633220900 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | d8531e25-82f0-4a16-8e56-a38070fa64cd | |
| relation.isAuthorOfPublication.latestForDiscovery | d8531e25-82f0-4a16-8e56-a38070fa64cd |