Sökning: "Impact of e learning"
Visar resultat 1 - 5 av 137 uppsatser innehållade orden Impact of e learning.
1. Sharing is Caring: A Qualitative Case Study on Knowledge Sharing in University Business Incubators
C-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledningSammanfattning : Startups and entrepreneur support organisations like business incubators are contemporary fields of research. A key resource startups receive from incubators is knowledge through the process of knowledge sharing with fellow startups. The different perspectives, professional experience, and expertise i.e. LÄS MER
2. Improving the thermal climate of schools in semi-desert climate : A case study of solutions in La Guajira, Colombia
Master-uppsats, Högskolan i Gävle/Energisystem och byggnadsteknikSammanfattning : As the climate changes, hot regions like La Guajira's semi-desert will become even hotter. It is projected that the average temperature in this region will increase by 2.4 ℃ over the course of this century, with a 20 % reduction in precipitation. LÄS MER
3. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. LÄS MER
4. Improving life situations through scholarship programs - The case of Tanzanian beneficiaries
Master-uppsats, Lunds universitet/InnovationsteknikSammanfattning : The fourth goal of the 2030 Agenda for Sustainable Development regards Quality education, aiming to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all". Globally, enrollment in university education is increasing. LÄS MER
5. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. LÄS MER