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  4. Information Technology - Doctoral Degree
  5. Mobile learning as a paradigmatic mechanism to faciliate technology-based learning in a developing country
 
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Mobile learning as a paradigmatic mechanism to faciliate technology-based learning in a developing country

Author(s)
Le Roux, Suzaan
Date Issued
2013
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
During the last few years it has become evident that first-year undergraduate computer
science programming learners in the Financial Information Systems (FIS) programme at the
Cape Peninsula University of Technology (CPUT) in South Africa, encounter numerous
barriers to successfully practice their programming skills, as well as to design, develop, test
and electronically submit their computer science programming assignments. As a result, the
formative and summative assessment marks of these learners over the past few years
indicate a concerning downward trend year on year, a challenge with which most first-year learners find it difficult to come to terms with. This is primarily due to a plethora of obstacles that impede on learners' ability to complete and electronically submit their programming assignments, especially off-campus, as well as the inability to practice their programming
skills outside the boundaries of the classroom. Upon investigation it was determined that this
trend is primarily attributed to three major stumbling blocks, namely the limited availability of computers, the absence of the required software needed to complete programming assignments off-campus, and the limited availability of Internet access off-campus.
Additional information
Thesis (DTech (Information Technology))--Cape Peninsula University of Technology, 2013
Subjects

Educational technolog...

Mobile communication ...

Dissertations, Academ...

DTech

Theses, dissertations...

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Appendices K-U.pdf

Description
Appendices
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4.68 MB

Format

Adobe PDF

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(MD5):79f1201a914121c4308a86327cbc35bf

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Analysis of Data (Content of Paragraph 5.3 Chapter 5).pdf

Description
Analysis
Size

3.67 MB

Format

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(MD5):708bacd39e46108349efe52565725385

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