An investigation, from a gender perspective, of how students view the ethical implications and societal effects of artificial intelligence is conducted, examining concepts that could have a big influence on how artificial intelligence may be taught in the future. For this, we conducted a survey on a cohort of 230 second year computer science students to reveal their opinions. The results revealed that AI, from the students' perspective, will significantly impact daily life, particularly in areas such as medicine, education, or media. Men are more aware of potential changes in Computer Science, autonomous driving, image and video processing, and chatbot usage, while women mention more the impact on social media. Both men and women perceive potential threats in the same manner, with men more aware of war, AI controlled drones, terrain recognition, and information war. Women seem to have a stronger tendency towards ethical considerations and helping others.

This study aims to evaluate the prevalence and characteristics of of-task activities and compare them with analogous behaviors in in-person learning contexts. We administered an anonymous survey, providing us with data to analyze the behavioral differences of students in online vs. face-to-face classes. Upon reviewing the answers, we discovered an increase of fifty percent in the number of students who lost focus within the initial 30 minutes due to off-task activities in online classes compared to the classic setup. The survey results indicate that structural and pedagogical modifications are essential to reduce distractions and improve learning outcomes in synchronous virtual classrooms.

This study explores and analyses the expectations of second-year students enrolled in different lines of study related to Database course, as their interest in having a carrier path in a database related domain and how it reflects the job demands from the market. The participants in the study provided two sets of answers, anonymously collected (in the begging and in the middle of the course), thus allowing us to track how their interests changed as long as they found out more about the subject. We asked for their experience and initial knowledge, we found out that they are aware of the SQL and usability and importance of databases, but they appreciated the database knowledge will be used occasionally. Even if it was not the original scope of the paper, we also found out that men are more interested in learning in depth (acquiring security, performance, complexity database related information) than women do. In terms of the participants set, there were 87 answers from 191 enrolled students that were analyzed and interpreted using thematic analysis.

This study explores and analyzes the learning tendencies of second-year students enrolled in different lines of study related to the Databases course. There were 79 answers collected from 191 enrolled students that were analyzed and interpreted using thematic analysis. The participants in the study provided two sets of answers, anonymously collected (at the beginning and at the end of the course), thus allowing us to have clear data regarding their interests and to find out their tendencies. We looked into their expectations and if they were met; we concluded that the students want to learn only database basics. Their main challenges were related to the course homework. We combined the information and the answers related to 1) other database-related topics that they would like to learn, 2) how they plan to use the acquired information, and 3) overall interest in learning other database-related topics. The conclusion was that students prefer learning only the basic information that could help them achieve their goals: creating an application or using it at work. For these students, Getting the work done is preferred to Learning in-depth.

Some students’ expectations and points of view related to the Artificial Intelligence course are explored and analyzed in this study. We anonymous collected answers from 58 undergraduate students out of 200 enrolled in the Computer Science specialization. The answers were analysed and interpreted using thematic analysis to find out their interests and attractive and unattractive aspects related to the Artificial Intelligence study topic. We concluded that students are interested in Artificial Intelligence due to its trendiness, applicability, their passion and interest in the subject, the potential for future growth, and high salaries. However, the students’ expectations were mainly related to achieving medium knowledge in the Artificial Intelligence field, and men seem to be more interested in acquiring high-level skills than women. The most common part that wasn't enjoyed by the students was the mathematical aspect used in Artificial Intelligence. Some of them (a small group) were also aware of the Artificial Intelligence potential which could be used in an unethical manner for negative purposes. Our study also provides a short comparison to the Databases course, in which students were not that passionate or interested in achieving medium knowledge, their interest was related to DB usage and basic information.