ABSTRACT
Online synchronous classes and seminars are increasing in universities along with the outbreak of COVID-19. Since the online classes are not in-person condition, it is difficult for a teacher to monitor the learners. In the field of distance education, the need to support learner's concentration has been identified. More effective methods adapted to online classes in universities should be discussed. In this paper, we focus on the teacher's and learners' attention to the material in online real-time classes. We then propose a system that provides feedback on the differences in learners' gaze in order to improve the followability of learners. The proposed system assumes an online environment using Microsoft Teams PowerPointLive and acquires the "gazing point" at every slide-material and "page change history" of the teacher and learners. The results of using the proposed system suggest that it can improve the learner's followability to the teacher. © 2022 Proceedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2022. All rights reserved.
ABSTRACT
The article compares education at the Faculty of Economics Matej Bel University before the pandemic and during the coronavirus pandemic. At the same time, it tries to outline what the education will look like after this situation is over. It finds out how the situation during the corona affected the education of economists and to what extent the changes it brought will be preserved in the future. The comparison of face-to-face and distance learning in 2019 and 2020 was made. This is because teaching in 2019 was carried out in a "classic", face-to-face manner, and on the contrary, in 2020, after the closure of schools in March 2020, teaching at Matej Bel University was carried out only distance online method. To get the best possible view of the researched topic, several research methods were used: the examination of the LMS Moodle with using of various Learning Analytics tools and Questionnaire Research. The results showed that face-to-face education before the Covid pandemic and after this pandemic will no longer be the same because distance online education will also cause changes in face-to-face education in the post-pandemic period. Questionnaire research showed that up to 78% of part-time students and 61% of full-time students would like their study program to use elements of distance education in full-time study as well. Since this is a large group of students, their opinion will be considered in the future when fully returning to face-to-face teaching. © 2022,International Journal of Advanced Computer Science and Applications. All Rights Reserved.
ABSTRACT
The Focus of this research to determine how Effective is online learning during pandemic using Microsoft Teams and Zoom applications that used by Teacher and Student. The methodology is using Technology Acceptance Model (TAM) to research the effect of innovation on user behavior. This research emphasizes to analyze how effective is online learning during pandemic covid-19 and which application is most used for teaching purpose and learning for student during pandemic covid 19. Research method used for this research is quantitative technique by information assortment utilizing questionnaire from Google form. The data will be processes using SPSS. We expect for the result can be reference for the future so Teacher and student can understand which application most used during pandemic covid-19 for Teaching and learning during pandemic covid-19. © 2022 IEEE.
ABSTRACT
This work-in-progress practice paper reports on the experiences of using Microsoft Teams to teach a large postgraduate class on database systems during the 2020/'21 academic year, under conditions when students and lecturers were in an enforced societal lock-down because of the COVID-19 pandemic. The class was made up of 167 students of 12 different nationalities from diverse backgrounds. Determined efforts were made to create an interactive online classroom experience through the use of quizzes, practical demonstrations, worked examples, and live discussion. The chat feature of Microsoft Teams was extensively used by students to pose and answer questions, as well as to communicate with each other outside of class time. An analysis of the chat log files is presented, looking at how factors such as gender and national culture influenced behaviour, and also looking at how participation in the chat impacted upon the sense of belonging and overall performance. © Proceedings of the 2021 AIS SIGED International Conference on Information Systems Education and Research.
ABSTRACT
Videoconferencing applications have seen a jump in their userbase owing to the COVID-19 pandemic. The security of these applications has certainly been a hot topic since millions of VoIP users’ data is involved. However, research pertaining to VoIP forensics is still limited to Skype and Zoom. This paper presents a detailed forensic analysis of Microsoft Teams, one of the top 3 videoconferencing applications, in the areas of memory, disk-space and network forensics. Extracted artifacts include critical user data, such as emails, user account information, profile photos, exchanged (including deleted) messages, exchanged text/media files, timestamps and Advanced Encryption Standard encryption keys. The encrypted network traffic is investigated to reconstruct client-server connections involved in a Microsoft Teams meeting with IP addresses, timestamps and digital certificates. The conducted analysis demonstrates that, with strong security mechanisms in place, user data can still be extracted from a client’s desktop. The artifacts also serve as digital evidence in the court of Law, in addition to providing forensic analysts a reference for cases involving Microsoft Teams. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.