Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
User Manual
Have you forgotten your password?
  1. Home
  2. Faculty of Computer Science and Engineering
  3. Faculty of Computer Science and Engineering: Journal Articles
  4. Influence of the low-cost digital contents in improvement of the students' learning experience
Details

Influence of the low-cost digital contents in improvement of the students' learning experience

Journal
Tem Journal
Date Issued
2012
Author(s)
Tusevski, Vase
Trajkovik, Vladimir
Abstract
In the study process, the students have
problems understanding parts or of the whole course
curriculum. The most frequent reasons for these
problems are: the student absence of one or more
successive lectures, or the student lack to understand
parts of the course curriculum.
Depending on the structure and dependability of the
lessons in the course curriculum, the student can have
problems with small part or large number of lessons in
the course curriculum. These might lead to complete
misunderstanding of the course curriculum.
In order to solve this problem, development and
deployment of additional digital content is usually
needed, which is both time and budget consuming. The
high development and maintaining price are most
common arguments which cause resistance against
deployment of such systems in the educational
institutions.
In this article, we propose a model for broadening of
the traditional study process by using low-cost digital
content and distance learning. This model is
inexpensive for deploying, administering and
supporting and is simple to use, while the greatest
benefit is increasing the students’ learning experience.
In the paper, we will describe the distance education
model that was used for content sharing together with
the student survey reflecting on the achieved quality of
learning experience.
Subjects

QoE, Quality of learn...

File(s)
Loading...
Thumbnail Image
Name

Influence_of_the_low-cost_digital_conten.pdf

Size

4.44 MB

Format

Adobe PDF

Checksum

(MD5):6807c943805058ff8e992f0f1690794d

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify