First year university undergraduates' academic experience have always been an interesting topic of study. The main objective of the study was to seek a better understanding on the level of self-directed, resilience, and online study skills among first year undergraduates toward online distance learning during the COVID-19 pandemic. A total of 159…

This project aims to gain insight into the mechanisms by which schools in highly challenging environments avoided learning loss--or even improved--during the pandemic. Using a unique dataset covering multiple levels of school, health, and environmental data, we examine which factors led schools to 'beat the odds' when it comes to learning…

One of the global challenges that the COVID-19 pandemic has posed, is the transition to an online learning format. The goal of this research is to show the results of study, how effective online learning was during the corona pandemics. The research was conducted in 8 Journalism schools of Georgian Universities and on the whole, 174 students…

Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…