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OSCAR Learning and Mentoring Evaluation

Authors: Harrison, Scott;

OSCAR Learning and Mentoring Evaluation

Abstract

Evaluating the OSCAR project is an important process that helps provide feedback and reflection on the workshops successes, while also scoping areas for improvement. This evaluation implemented in OSCAR has four central objectives: To understand participant needs prior to workshop deployment To evaluate the design and user experience using the eDoer application within the boundaries of the mentoring workshops To understand and evaluate workshop participants learning experience with respect to the mentoring workshops content and how the workshops were conducted To evaluate the overall organisation of the workshops To meet these objectives, the evaluation design is explained, covering the key methods associated with data collection. Next, the results of the evaluation design are presented, covering each of the evaluation objectives. Finally, the results are summarised, limitations are discussed, and several recommendations are made. More information on the project: http://oscar-ai.eu/ Learning and mentoring platform: http://edoer.eu/ Mental health training programme: https://learn.edoer.eu/organizations/oscar/contents

The 2nd version of the document fixes a few typos in the document. The OSCAR project and this deliverable was supported by the European Commission Erasmus Plus programme. Project id: 2020-1-DE01-KA203-005713

Keywords

doctoral education, Artificial Intelligence, eDoer, career development, mental health

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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