Poster: An Experience API Framework to Describe Learning Interactions from On-line Laboratories
| Autor: | Miguel Rodriguez-Artacho, Pedro Paredes Barragán, Elio San Cristobal, Manuel Castro, Hamadou Saliah-Hassane |
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| Rok vydání: | 2018 |
| Předmět: |
Standardization
Computer science 05 social sciences Learning analytics 050301 education 020206 networking & telecommunications 02 engineering and technology Data science Field (computer science) Domain (software engineering) Data acquisition 0202 electrical engineering electronic engineering information engineering Key (cryptography) Educational content Use case 0503 education |
| Zdroj: | Lecture Notes in Networks and Systems ISBN: 9783319956770 REV |
| DOI: | 10.1007/978-3-319-95678-7_34 |
| Popis: | Learning Analytics is an emerging field focused on analyzing learners’ interactions with educational content. One of the key open issues in learning analytics is the standardization of the data collected. This is a particularly challenging issue in online laboratories. This paper presents an implementation with one of the most promising specifications: Experience API (xAPI). The Experience API relies on Communities of Practice developing profiles that cover different use cases in specific domains. This paper presents the Online Laboratories xAPI Profile: a profile developed to align with the most common use cases in the online laboratories domain. The profile is applied to a case study (a windmill lab), which explores the technical practicalities of standardizing data acquisition. In summary, the paper presents a framework to track online laboratories and their implementation with the xAPI specification. |
| Databáze: | OpenAIRE |
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