Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM
Mobile learning (in-learning) is considered as the next form of e-learnin<g using mobile technologies to facilitate education for teachers and learners anywhere and anytime. Engaging the in-learning services in the Malaysian higher education could improve the availability of education. Student...
Saved in:
| id |
my-usim-ddms-13063 |
|---|---|
| record_format |
uketd_dc |
| institution |
Universiti Sains Islam Malaysia |
| collection |
USIM Institutional Repository |
| language |
English |
| topic |
Mobile Learning Services, Mobile Learning Acceptance Model, M-Learning |
| spellingShingle |
Mobile Learning Services, Mobile Learning Acceptance Model, M-Learning Mohammad Mahmoud Saleem Alzu'bi Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM |
| description |
Mobile learning (in-learning) is considered as the next form of e-learnin<g using mobile
technologies to facilitate education for teachers and learners anywhere and anytime.
Engaging the in-learning services in the Malaysian higher education could improve the
availability of education. Students' awareness of such technology is a key for success
acceptance. The study shown the evident that there are two issues that prevail in the
implementation of m-learning in the higher education institutions. These issues are:
disparity with regard to the perceptions of technology between students and the
university, and insufficient knowledge and incorporation of students' acceptance when
deciding on technology investment. This research aims to study the acceptance and use of
m-learning services among IIUM and USIM students. The main objective is to propose a
students' acceptance model of m-learning in the higher education environment. The study
investigates the students' acceptance of behavior intention to use m-learning and its effect
on usage behavior in the higher education environment. It provides the knowledge base
about the current state of students' awareness about m-learning services. Data was
collected from 381 students at two universities in Malaysia using systematic random
sampling techniques. This research employed SPSS analysis techniques to test the
measurement and structural models using a convenience sample of' 381 students. The
study found that both of the environment and the infrastructure are appropriate to diffuse
and Utilize in-learning in the higher education environment. Furthermore. the results
showed that the students have adequate knowledge and awareness to use such technology
in their education environment. The limitations of m-learning for education were well
concerned by students. The students' perspective is very important to investigate the use
behavior of m-learning in the higher education environment. Findings of the study
suggest that the behavior intention to use the m-learning by students in the higher
education environment have positive influence on the use behavior. Consequently, the
availability of' facilitating conditions is an important to influence students' use behavior.
The study suggests several factors as important determinants of' the behavior intention to
use the m-learning in the higher education environment. Specifically, behavior intention
to use appears to be adopted and facilitated by the usefulness of in-learning services, so
more usefulness of' m-learning leads to more acceptances among students in the higher
education. |
| format |
Thesis |
| author |
Mohammad Mahmoud Saleem Alzu'bi |
| author_facet |
Mohammad Mahmoud Saleem Alzu'bi |
| author_sort |
Mohammad Mahmoud Saleem Alzu'bi |
| title |
Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM |
| title_short |
Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM |
| title_full |
Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM |
| title_fullStr |
Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM |
| title_full_unstemmed |
Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM |
| title_sort |
acceptance model for m-learning services: a case study at iium and usim |
| granting_institution |
Universiti Sains Islam Malaysia |
| url |
https://oarep.usim.edu.my/bitstreams/f678e87d-39ea-4d69-b103-74bfcec8b154/download https://oarep.usim.edu.my/bitstreams/bbf0ef33-828e-4f43-a1ff-3b8e3b259454/download https://oarep.usim.edu.my/bitstreams/6e0cde3e-4c22-43fd-9b6e-4b22db498d22/download https://oarep.usim.edu.my/bitstreams/12faa232-9629-4293-83f6-bee01239c73d/download https://oarep.usim.edu.my/bitstreams/d8ad636a-38a4-4b48-a6c2-66195994a184/download https://oarep.usim.edu.my/bitstreams/92eb7ff1-5392-4824-acf4-773ff2dabf5e/download https://oarep.usim.edu.my/bitstreams/0c7998d1-317e-4065-a229-d9981655f0e1/download https://oarep.usim.edu.my/bitstreams/9b5789d2-5821-4c68-aacc-8839958ca50a/download https://oarep.usim.edu.my/bitstreams/6caee113-b928-4c08-9a97-773b6904d736/download |
| _version_ |
1812444852986576896 |
| spelling |
my-usim-ddms-130632024-05-29T19:46:52Z Acceptance Model For M-Learning Services: A Case Study At IIUM And USIM Mohammad Mahmoud Saleem Alzu'bi Mobile learning (in-learning) is considered as the next form of e-learnin<g using mobile technologies to facilitate education for teachers and learners anywhere and anytime. Engaging the in-learning services in the Malaysian higher education could improve the availability of education. Students' awareness of such technology is a key for success acceptance. The study shown the evident that there are two issues that prevail in the implementation of m-learning in the higher education institutions. These issues are: disparity with regard to the perceptions of technology between students and the university, and insufficient knowledge and incorporation of students' acceptance when deciding on technology investment. This research aims to study the acceptance and use of m-learning services among IIUM and USIM students. The main objective is to propose a students' acceptance model of m-learning in the higher education environment. The study investigates the students' acceptance of behavior intention to use m-learning and its effect on usage behavior in the higher education environment. It provides the knowledge base about the current state of students' awareness about m-learning services. Data was collected from 381 students at two universities in Malaysia using systematic random sampling techniques. This research employed SPSS analysis techniques to test the measurement and structural models using a convenience sample of' 381 students. The study found that both of the environment and the infrastructure are appropriate to diffuse and Utilize in-learning in the higher education environment. Furthermore. the results showed that the students have adequate knowledge and awareness to use such technology in their education environment. The limitations of m-learning for education were well concerned by students. The students' perspective is very important to investigate the use behavior of m-learning in the higher education environment. Findings of the study suggest that the behavior intention to use the m-learning by students in the higher education environment have positive influence on the use behavior. Consequently, the availability of' facilitating conditions is an important to influence students' use behavior. The study suggests several factors as important determinants of' the behavior intention to use the m-learning in the higher education environment. Specifically, behavior intention to use appears to be adopted and facilitated by the usefulness of in-learning services, so more usefulness of' m-learning leads to more acceptances among students in the higher education. Universiti Sains Islam Malaysia 2016-08 Thesis en https://oarep.usim.edu.my/handle/123456789/13063 https://oarep.usim.edu.my/bitstreams/fd5b6c18-d5a8-498a-9c60-b18a16f371de/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/f678e87d-39ea-4d69-b103-74bfcec8b154/download d16e5ecf385f1828ec95726a2c2c8976 https://oarep.usim.edu.my/bitstreams/bbf0ef33-828e-4f43-a1ff-3b8e3b259454/download a5c159d29215b7d1e71d2adc3297aeec https://oarep.usim.edu.my/bitstreams/6e0cde3e-4c22-43fd-9b6e-4b22db498d22/download 1d0a2771aa092c4f76070c5ceea32550 https://oarep.usim.edu.my/bitstreams/12faa232-9629-4293-83f6-bee01239c73d/download 0b0412db7a1e58744b0ab83afa04eee7 https://oarep.usim.edu.my/bitstreams/d8ad636a-38a4-4b48-a6c2-66195994a184/download 7edc0dcda529062093d0ecae447d6118 https://oarep.usim.edu.my/bitstreams/92eb7ff1-5392-4824-acf4-773ff2dabf5e/download 55d74e45ee6d5a92c0554a74e574c9ad https://oarep.usim.edu.my/bitstreams/0c7998d1-317e-4065-a229-d9981655f0e1/download 30cce34629d97011f9c45b496120f21d https://oarep.usim.edu.my/bitstreams/9b5789d2-5821-4c68-aacc-8839958ca50a/download 18f9dcb541d01587ba26bc1aff8cb186 https://oarep.usim.edu.my/bitstreams/6caee113-b928-4c08-9a97-773b6904d736/download 85b4f4a9a136582bed627fcec341a507 https://oarep.usim.edu.my/bitstreams/a3fabd9d-8136-459b-a6df-9e0c1fabbabf/download e9127faa5f5399c8c0de23822756d0e0 https://oarep.usim.edu.my/bitstreams/3bb9d6a6-d3b2-444c-bf53-82e9a7a4fd6e/download 63b02507233e8d7356d64d30c67be263 https://oarep.usim.edu.my/bitstreams/060801ff-23b0-4597-bb3a-322dde119b0d/download 6323f3507ed359ec995fde3505542a45 https://oarep.usim.edu.my/bitstreams/c8672acf-a60c-44d5-ad3e-46e85c828903/download 974722b0247bd422c868c60d4ab205ad https://oarep.usim.edu.my/bitstreams/6fac21eb-3ae9-4dc1-828c-e6c8c644c361/download 54b6a1c164f8d886c8c40b11039f49db https://oarep.usim.edu.my/bitstreams/dcae3ed7-adfb-43ec-bca5-3b5f74709196/download e658d59b30138e53974a2b6cc13fa6be https://oarep.usim.edu.my/bitstreams/75122e9a-22c2-4d4d-86e3-18947a4e1e02/download 6693fd39c2831f6642a98844964a7528 https://oarep.usim.edu.my/bitstreams/991c23ac-7343-43f2-ad34-41b6a99d26cb/download 2c9575bf0d16750ad6f92cb6874059e8 https://oarep.usim.edu.my/bitstreams/a6e42bbe-59e1-433e-bbad-92366588e3c3/download d60348d6b3e20a3b32bff21ab171c3fd Mobile Learning Services, Mobile Learning Acceptance Model, M-Learning |