Preparing MOOChub metadata for the future of online learning
- With the growing number of online learning resources, it becomes increasingly difficult and overwhelming to keep track of the latest developments and to find orientation in the plethora of offers. AI-driven services to recommend standalone learning resources or even complete learning paths are discussed as a possible solution for this challenge. To function properly, such services require a well-defined set of metadata provided by the learning resource. During the last few years, the so-called MOOChub metadata format has been established as a de-facto standard by a group of MOOC providers in German-speaking countries. This format, which is based on schema.org, already delivers a quite comprehensive set of metadata. So far, this set has been sufficient to list, display, sort, filter, and search for courses on several MOOC and open educational resources (OER) aggregators. AI recommendation services and further automated integration, beyond a plain listing, have special requirements, however. To optimize the format for proper support ofWith the growing number of online learning resources, it becomes increasingly difficult and overwhelming to keep track of the latest developments and to find orientation in the plethora of offers. AI-driven services to recommend standalone learning resources or even complete learning paths are discussed as a possible solution for this challenge. To function properly, such services require a well-defined set of metadata provided by the learning resource. During the last few years, the so-called MOOChub metadata format has been established as a de-facto standard by a group of MOOC providers in German-speaking countries. This format, which is based on schema.org, already delivers a quite comprehensive set of metadata. So far, this set has been sufficient to list, display, sort, filter, and search for courses on several MOOC and open educational resources (OER) aggregators. AI recommendation services and further automated integration, beyond a plain listing, have special requirements, however. To optimize the format for proper support of such systems, several extensions and modifications have to be applied. We herein report on a set of suggested changes to prepare the format for this task.…
Author details: | Max Thomas, Thomas StaubitzORCiDGND, Christoph MeinelORCiDGND |
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URN: | urn:nbn:de:kobv:517-opus4-624830 |
DOI: | https://doi.org/10.25932/publishup-62483 |
Title of parent work (English): | EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash? |
Subtitle (English): | optimizing for AI recommendation services |
Publisher: | Universitätsverlag Potsdam |
Place of publishing: | Potsdam |
Editor(s): | Christoph Meinel, Stefanie Schweiger, Thomas Staubitz, Robert Conrad, Carlos Alario Hoyos, Martin Ebner, Susanna Sancassani, Agnieszka Żur, Christian Friedl, Sherif Halawa, Dilrukshi Gamage, Jeffrey Scott, May Kristine Jonson Carlon, Yves Deville, Michael Gaebel, Carlos Delgado Kloos, Karen von Schmieden |
Publication type: | Article |
Language: | English |
Date of first publication: | 2023/11/14 |
Publication year: | 2023 |
Publishing institution: | Universität Potsdam |
Publishing institution: | Universitätsverlag Potsdam |
Release date: | 2024/02/02 |
Tag: | Digitale Bildung; Kursdesign; MOOC; Micro Degree; Online-Lehre; Onlinekurs; Onlinekurs-Produktion digital education; e-learning; micro degree; micro-credential; online course creation; online course design; online teaching |
Number of pages: | 10 |
First page: | 329 |
Last Page: | 338 |
RVK - Regensburg classification: | ST 670 |
Organizational units: | Digital Engineering Fakultät / Hasso-Plattner-Institut für Digital Engineering GmbH |
DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
Peer review: | Referiert |
Publishing method: | Universitätsverlag Potsdam |
Open Access / Gold Open-Access | |
Collection(s): | Universität Potsdam / Sammelwerke (nicht fortlaufend) / EMOOCs 2023 / Beiträge |
License (German): | CC-BY - Namensnennung 4.0 International |