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DELFI 2019 Doktorandenkolloquium

https://dl.gi.de/handle/20.500.12116/31052
Auflistung nach:

Auflistung DELFI 2019 Doktorandenkolloquium nach Schlagwort "Higher Education"

1 - 2 von 2
  • Doctoral Colloquium Paper
    Developing Methods to Automate the Utilization of OER in Higher Education
    (Beiträge der Doktorandenkolloquiums zur DELFI 2019, 2019) Ali, Lubna
    Open Educational Resources (OER) are an important element in the process of digitizing higher education teaching and are seen as an essential building block for openness in the education system. OER can potentially play an important role in improving the education around the globe, since it eases the access to high quality digital educational materials. However, there are challenges that are facing the deployment of OER in higher education. One of the most important challenges is the production of new OER materials and the conversion of already existing educational resources to OER. This could be viable by qualifying educators and teachers through training courses and/or supporting them with appropriate tools. There are many tools to create new OER contents. However, there is a huge amount of already produced and well-tested educational materials, which could be utilized and converted to OER instead of producing new content from the scratch. In this project, we will suggest methods to overcome some of the challenges facing the educators when dealing with OER in order to ease the deployment of OER. Additionally, we will develop a tool to support con-verting the educational materials to OER and we will evaluate its functionality. We will also investi-gate, to which extent the technical support can improve the utilization of OER in higher education context.
  • Doctoral Colloquium Paper
    Goal Setting, Self-Monitoring and Self-Regulation Guided by a Digital Data-Driven Study Assistant
    (Beiträge der Doktorandenkolloquiums zur DELFI 2019, 2019) Weber, Felix
    This Research Proposal starts with a brief description of the SIDDATA-project from which it originates. Both aim at the implementation and investigation of a data-driven digital study assistant supporting university students in goal-setting and self-regulation for individual study goals. As starting point, theoretical backgrounds, such as Goal-Setting-Theory and Social Cognitive Theory are reviewed. Existing practical applications are summarized. From these foundations concrete use cases for our study assistant are derived. The experimental design for an evaluation of the assistant, data analysis methods and a time plan are outlined. Finally the proposal concludes with an outlook on limitations and potential benefits of this research project