Introducing Singular-Vision and Community-First concepts to design and implement the next generation of TechClass Learning Environment

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Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Master's thesis

Date

2021-01-25

Department

Major/Subject

Computer Science

Mcode

SCI3042

Degree programme

Master’s Programme in Computer, Communication and Information Sciences

Language

en

Pages

74 + 6

Series

Abstract

The Learning Environment is the heart of every Learning Management System since students are the most important stakeholder when it comes to implementing platforms to deliver educational content. Satisfying students, as the most important user-group, requires a significant effort in many diverse fields, which pushes services providers to overtake sizeable research to understand such diverse fields before starting the implementation process, and then aim for a proper and researched direction to assure the effort will get endorsed and welcomed by the students. Nowadays, in each field, students have various choices, which leads to making the industry more competitive than ever. Furthermore, knowing the fact, the students as the users of our platform do not have unlimited time makes service providers more responsible for assuring they are offering the students services, which are reliable, efficient, and enjoyable to use, which in many of the cases, the users are the younger generations. Observing current popular and trending social platforms, we realize that such services' providers considered the users' behavior and requirements essential points. In this thesis, first, I will look for essential fields, which are essential to pave the road to analyze such systems. I will discuss approaches, which can lead to implementing a system, which can be a successful case in reality. Finally, I aim to represent a new Learning Environment as the Future of Learning Environments named "TechClass next-gen Course Space", and propose methods to validate our result.

Description

Supervisor

Vuorimaa, Petri

Thesis advisor

Gharibshah, Joobin

Keywords

e-learning, virtual learning environment, learning management systems, web development, artificial intelligence, user experience

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