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Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2023
License: CC BY
Data sources: Datacite
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Using a Hybrid, Human - AI Approach to Enhance Mental Health and Career Management Skills in Academia

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 23 Nov 2023 English Publisher:Zenodo
Authors: Kismihók, Gábor; Lehne, Helen;

doi: 10.5281/zenodo.10159719 , 10.5281/zenodo.10159720

Using a Hybrid, Human - AI Approach to Enhance Mental Health and Career Management Skills in Academia

Abstract

The development of the eDoer platform is supported by the following projects: OSCAR - Online, open learning recommendations and mentoring towards Sustainable research CAReers, European Commission - Erasmus Plus Programme, 2020-1-DE01-KA203-005713; ADAPT - Implementation of an Adaptive Continuing Education Support System in the Professional Field of Nursing German Federal Ministry of Education and Research, BMBF - INVITE 21INVI0501, WBsmart - AI-based digital continuing education space for elderly care, German Federal Ministry of Education and Research BMBF - INVITE 21INVI2101; DALIA - Knowledge Graph of the Data Literacy (Dalia) for FAIR data usage and provision, on the basis of Semantic Web technology BMBF - 16DWWQP07E AI4VET4AI - AI-powered Next Generation of VET, European Commission - ERASMUS2027 Programme, 101104579 Gábor Kismihók is the Chair of the ReMO COST Action on Researcher Mental Health (CA19117), supported by COST (European Cooperation in Science and Technology).

Presentation of the OSCAR project and the eDoer AI-based, open learning recommender platform at the OEB 2023 Conference in Berlin. Important links from the presentation: eDoer platform: http://edoer.eu/ OSCAR Project: http://oscar-ai.eu/ Researcher Mental Health Manifesto: https://doi.org/10.5281/zenodo.5559806 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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