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Download statistics - Document (COUNTER):
Sebastian, R.J.; Ewerth, R.; Hoppe, A.: Grade Level Filtering for Learning Object Search using Entity Linking. In: Özgöbek, Özlem; Lommatzsch, Andreas; Kille, Benjamin Uwe; Liu, Peng; Malthouse, Edward C.; Gulla, Jon Atle ; Hoppe, Anett; Yu, Ran; Liu, Jiqun (Eds.): INRA + IWILDS 2022: News Recommendation and Analytics + Investigating Learning During Web Search 2022 : joint proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022), co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). Aachen, Germany : RWTH Aachen, 2023 (CEUR Workshop Proceedings ; 3411), S. 69-83.
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Sum total of downloads: 16
| Abstract: | |
More and more Learning Objects like lessons, exercises, worksheets and lesson plans are available online. Finding them, however, is a challenge as they often lack metadata concerning format, content and, in the K-12 context: grade-levels or age ranges for which they are appropriate. This work studies the automatic content-based assignment of this last aspect of Learning Object metadata. For this purpose, we (a) collected a dataset of physics lessons, (b) explored a set of text-based features for their automatic analysis (derived from both dense vector representations and entity linking methods) and (c) trained a machine learning model with different subsets of these features to predict a resource’s target grade level. We compare and discuss the results. | |
| License of this version: | CC BY 4.0 Unported |
| Document Type: | BookPart |
| Publishing status: | publishedVersion |
| Issue Date: | 2023 |
| Appears in Collections: | Zentrale Einrichtungen Forschungszentren |
distribution of downloads over the selected time period:
downloads by country:
| pos. | country | downloads | ||
|---|---|---|---|---|
| total | perc. | |||
| 1 |  |
Germany | 5 | 31.25% |
| 2 |  |
United States | 3 | 18.75% |
| 3 |  |
Tanzania, United Republic of | 2 | 12.50% |
| 4 |  |
Iran, Islamic Republic of | 2 | 12.50% |
| 5 |  |
India | 1 | 6.25% |
| 6 |  |
Indonesia | 1 | 6.25% |
| 7 |  |
Greece | 1 | 6.25% |
| 8 |  |
Switzerland | 1 | 6.25% |
Further download figures and rankings:
Hinweis
Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.