The worldwide crisis, Covid-19 had a tremendous influence on education system. Many higher education systems forced to change into emergency online education while challenges and problems facing in online learning process affected not only students’ population but also lots of teachers. Video conferencing tools as a technology which help users to have virtual meetings need to be effective and user friendly to provide the learning process with the same quality as face-to-face education. The goal of this study is researching about one of the important problems in online learning process which is teachers-students interaction. The primary goal of this research is to find the pain points in students-teachers interaction and students’ motivation and our secondary goal is investigating the effects of this interaction on students’ motivation and providing a solution in video conferencing tools to solve this issue using a prototype. We are using mixed methodology which is including both quantitative and qualitative methodology. Collected data from existing studies and literature review, surveys, and interview are methods which are used. Based on our research questions and the methodology for collecting data the following are studied: 1. The pain points and challenges regarding teachers’ interaction and students’ motivation in online learning 2. The effects of students-teachers interaction in students’ motivation 3. The features in video conferencing tools which can improve this interaction. All the findings present in a prototype using Figma with the goal of improving user experience of video conferencing tools for online learning purpose and solve existing problems. This prototype presented to students and teachers to get their feedbacks through an interview. With the importance of online learning in the future education, more research is needed to explore other aspects which has effect on students’ motivation and presenting other solution or features or using another research methods will bring more value to this subject.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hj-59409 |
| Date | January 2023 |
| Creators | Osatian, Peyman, Azimi, Mahsa |
| Publisher | Jönköping University, JTH, Avdelningen för datateknik och informatik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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