Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor

Recent developments in mobile and wireless technology have changed the way to communicate and in daily lives also have a significant impact on learning sector in Malaysia. The objectives of this research to explore the factors that drive urban poor to use m-learning as a method of self-directed lear...

Full description

Saved in:
Bibliographic Details
Main Author: Mas Sohor, Azwah
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/62996/1/62996.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uitm-ir.62996
record_format uketd_dc
spelling my-uitm-ir.629962022-08-03T04:53:43Z Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor 2016 Mas Sohor, Azwah Blended learning. Computer assisted instruction. Programmed instruction Recent developments in mobile and wireless technology have changed the way to communicate and in daily lives also have a significant impact on learning sector in Malaysia. The objectives of this research to explore the factors that drive urban poor to use m-learning as a method of self-directed learning and to provide recommendation to improve m-learning usage for urban poor in Selangor. To achieve objectives in this research, a qualitative approach has been used in this research in order to identify the factor of usage m-learning and recommendation to improve m-learning usage among urban poor. The method use in research is qualitative method. The survey has open-ended question will ask about the factor of using m-learning among urban poor and recommendation of m-learning usage among them. The interview has been held to collect data to support in this research. The result indicate that the factors of using m-learning as self-directed learning for urban poor in Selangor can be categorized into five; ease of use, perceived usefulness, facilitating conditions, social influence and perceived playfulness. The recommendation can be categorized into four; connectivity, user interface, supportive and informative. Future work can focus on specific working sector for urban poor such as engineering, medicine, humanities, and arts to figure out the ideal disciplines for adoption of this medium of education. Effectiveness of m-learning programs depends on the field of study. For example, courses related to business and liberal arts require a limited set of software, which can either be acquired free of cost or at a very low price; whereas, courses related to information technology (IT) and engineering require a much larger set of applications, which generally are expensive and require frequent updating. Moreover, the types of students that will be more comfortable with this medium can be identified in future research. 2016 Thesis https://ir.uitm.edu.my/id/eprint/62996/ https://ir.uitm.edu.my/id/eprint/62996/1/62996.pdf text en public masters Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Wan Mohd Isa, Wan Abdul Rahim (Dr.)
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Wan Mohd Isa, Wan Abdul Rahim (Dr.)
topic Blended learning
Computer assisted instruction
Programmed instruction
spellingShingle Blended learning
Computer assisted instruction
Programmed instruction
Mas Sohor, Azwah
Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor
description Recent developments in mobile and wireless technology have changed the way to communicate and in daily lives also have a significant impact on learning sector in Malaysia. The objectives of this research to explore the factors that drive urban poor to use m-learning as a method of self-directed learning and to provide recommendation to improve m-learning usage for urban poor in Selangor. To achieve objectives in this research, a qualitative approach has been used in this research in order to identify the factor of usage m-learning and recommendation to improve m-learning usage among urban poor. The method use in research is qualitative method. The survey has open-ended question will ask about the factor of using m-learning among urban poor and recommendation of m-learning usage among them. The interview has been held to collect data to support in this research. The result indicate that the factors of using m-learning as self-directed learning for urban poor in Selangor can be categorized into five; ease of use, perceived usefulness, facilitating conditions, social influence and perceived playfulness. The recommendation can be categorized into four; connectivity, user interface, supportive and informative. Future work can focus on specific working sector for urban poor such as engineering, medicine, humanities, and arts to figure out the ideal disciplines for adoption of this medium of education. Effectiveness of m-learning programs depends on the field of study. For example, courses related to business and liberal arts require a limited set of software, which can either be acquired free of cost or at a very low price; whereas, courses related to information technology (IT) and engineering require a much larger set of applications, which generally are expensive and require frequent updating. Moreover, the types of students that will be more comfortable with this medium can be identified in future research.
format Thesis
qualification_level Master's degree
author Mas Sohor, Azwah
author_facet Mas Sohor, Azwah
author_sort Mas Sohor, Azwah
title Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor
title_short Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor
title_full Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor
title_fullStr Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor
title_full_unstemmed Exploring drivers of using m-learning: a qualitative approach / Azwah Mas Sohor
title_sort exploring drivers of using m-learning: a qualitative approach / azwah mas sohor
granting_institution Universiti Teknologi MARA
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/62996/1/62996.pdf
_version_ 1783735281475649536