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Managing Learning Resource Metadata for Secondary Education

Published: 27 January 2021 Publication History

Abstract

Digital learning resources are becoming increasingly important, especially in times of COVID-19 home schooling. To align resources with educational objectives defined in school curricula, we need ways to describe and relate them. In this work, we present a new data model, a data management workflow and a prototypical information system enabling annotators to describe learning resources using the terminology and structure, while maintaining applicability in other contexts through transcription. Preliminary evaluation results with metadata curators show that our model is well-suited to efficiently model secondary education curricula. Provided that future evaluations with content creators, teachers and learners yield positive results, our model may enable curriculum specific learning analytics, search and recommendation without the need to annotate resources for each curriculum.

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Cited By

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  • (2024)Prerequisite knowledge‐based automated course planning with semantics considerationComputer Applications in Engineering Education10.1002/cae.2274832:4Online publication date: 24-Apr-2024
  • (2021)Exploring Learning Resource Recommendation Approaches for Secondary EducationThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487774(28-33)Online publication date: 29-Nov-2021

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iiWAS '20: Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services
November 2020
492 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • Johannes Kepler University, Linz, Austria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 January 2021

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Author Tags

  1. json schema
  2. learning resource metadata
  3. metadata management
  4. transcriptivity

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Cited By

View all
  • (2024)Prerequisite knowledge‐based automated course planning with semantics considerationComputer Applications in Engineering Education10.1002/cae.2274832:4Online publication date: 24-Apr-2024
  • (2021)Exploring Learning Resource Recommendation Approaches for Secondary EducationThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487774(28-33)Online publication date: 29-Nov-2021

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