Refine
Year of publication
- 2021 (2) (remove)
Document type
- Master's Thesis (2) (remove)
Language
- English (2)
Has full text
- No (2) (remove)
Is part of the Bibliography
- No (2)
Keywords
- COVID-19 (1)
- Education Germany (1)
- PISA data (1)
- Remote learning (1)
- School closure (1)
- Software-defined networking (1)
- cyber physical systems (1)
Course of studies
As COVID-19 forces school to shutdown, distance learning or homeschooling is increasingly becoming the preferred and safest mode of delivering education. The new trend however, raises underlying questions on the implication it will have on the educational gap and attainment between advantaged and disadvantaged students in Germany, stemming from the diverse economic, cultural and social situation among the student population. This study presents results of a comparative analysis between advantaged and disadvantaged students in Germany using the PISA data 2018. The study investigated, how large the educational gap in Germany between advantaged and disadvantaged students is and what influences this gap. More specifically, what effect COVID-19 induced school interruption has in increasing the educational at- tainment between the student population. The findings show that there is an educa- tional gap between advantaged and disadvantaged students in Germany and socio- economic and cultural factors influence student performance which aligns with the findings in the literature review. Furthermore, school closures of 51 days result to a loss of 3.26, 3.37 and, 4.12 PISA point for advantaged students in maths, science and reading respectively and a loss of 8.4, 8.1 and 5.01 PISA points in maths, sci- ence and reading for disadvantaged students. The results show an increase in the educational outcome and inequality between advantaged and disadvantaged students in Germany. The findings, necessitate the need for policy makers to neutralize the learning losses resulting from the COVID-19 induced remote learning.
Traditional networking severely limits the dynamic requirements of newly emerging
use cases like the Internet of Things. For this reason, this thesis is fundamentally
concerned with the proposal of a software-defined networking approach for industrial
IoT networks. We revisit the core concepts, examine related work and subsequently
present an SDN-focused edge architecture for the KOSMoS research project. In this regard, we aim to improve network flexibility, scalability, maintainability and security.
Finally, the developed concept is implemented as an emulated proof of concept in order to assess its feasibility. For our prototype, we present an intent-driven approach that automatically compiles and deploys network configuration policies based on business goals submitted as description templates.