Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems

Embedded systems have become a significant manufacturing sector and essential in our life due to their large applications. As a result, higher education institutions acknowledge the significance for offering embedded system design course to electrical, electronics, and computer engineering students....

Full description

Saved in:
Bibliographic Details
Main Authors: Ridwan, Intisar Ibrahim, Ali, Rosmah, Mohamed, Izzeldin Ibrahim, Adam, Mohamad Zulkefli, ElFadil, Nazar
Format: Conference or Workshop Item
Published: 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/97014/
http://dx.doi.org/10.1109/TENCON.2016.7848399
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
id my.utm.97014
record_format eprints
spelling my.utm.970142022-09-12T04:45:40Z http://eprints.utm.my/id/eprint/97014/ Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems Ridwan, Intisar Ibrahim Ali, Rosmah Mohamed, Izzeldin Ibrahim Adam, Mohamad Zulkefli ElFadil, Nazar T Technology (General) Embedded systems have become a significant manufacturing sector and essential in our life due to their large applications. As a result, higher education institutions acknowledge the significance for offering embedded system design course to electrical, electronics, and computer engineering students. Unfortunately, embedded systems design course continues to be challenging and complex despite current attempts in introducing new embedded system teaching methods. This paper deals with this issue by developing and validating an instrument to measure students' readiness to learn embedded systems using Rasch model. An expert panel was used to verify the content validity and a pilot study (N = 40 respondents) was performed to measure the instrument reliability. A total of 365 respondents from different universities completed the 10-item scale and provided demographic data. The scale dimensionality was evaluated using WINSTEPS 3.92.1, with results showed that all the items fit the Rasch measurement model with acceptable fit index (0.6-1.4) and expressed revealed good consistency, with reliability alpha of 1.00 and 0.72 for items and persons respectively. The instrument was found to have appropriate psychometric properties, and the overall results are well aligned with theoretical expectations. This work has shown that the students were not technically ready for embedded system study. 2017 Conference or Workshop Item PeerReviewed Ridwan, Intisar Ibrahim and Ali, Rosmah and Mohamed, Izzeldin Ibrahim and Adam, Mohamad Zulkefli and ElFadil, Nazar (2017) Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems. In: 2016 IEEE Region 10 Conference, TENCON 2016, 22 - 25 November 2016, Singapore. http://dx.doi.org/10.1109/TENCON.2016.7848399
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic T Technology (General)
spellingShingle T Technology (General)
Ridwan, Intisar Ibrahim
Ali, Rosmah
Mohamed, Izzeldin Ibrahim
Adam, Mohamad Zulkefli
ElFadil, Nazar
Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
description Embedded systems have become a significant manufacturing sector and essential in our life due to their large applications. As a result, higher education institutions acknowledge the significance for offering embedded system design course to electrical, electronics, and computer engineering students. Unfortunately, embedded systems design course continues to be challenging and complex despite current attempts in introducing new embedded system teaching methods. This paper deals with this issue by developing and validating an instrument to measure students' readiness to learn embedded systems using Rasch model. An expert panel was used to verify the content validity and a pilot study (N = 40 respondents) was performed to measure the instrument reliability. A total of 365 respondents from different universities completed the 10-item scale and provided demographic data. The scale dimensionality was evaluated using WINSTEPS 3.92.1, with results showed that all the items fit the Rasch measurement model with acceptable fit index (0.6-1.4) and expressed revealed good consistency, with reliability alpha of 1.00 and 0.72 for items and persons respectively. The instrument was found to have appropriate psychometric properties, and the overall results are well aligned with theoretical expectations. This work has shown that the students were not technically ready for embedded system study.
format Conference or Workshop Item
author Ridwan, Intisar Ibrahim
Ali, Rosmah
Mohamed, Izzeldin Ibrahim
Adam, Mohamad Zulkefli
ElFadil, Nazar
author_facet Ridwan, Intisar Ibrahim
Ali, Rosmah
Mohamed, Izzeldin Ibrahim
Adam, Mohamad Zulkefli
ElFadil, Nazar
author_sort Ridwan, Intisar Ibrahim
title Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
title_short Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
title_full Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
title_fullStr Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
title_full_unstemmed Rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
title_sort rasch measurement analysis for validation instrument to evaluate students technical readiness for embedded systems
publishDate 2017
url http://eprints.utm.my/id/eprint/97014/
http://dx.doi.org/10.1109/TENCON.2016.7848399
_version_ 1744353702299303936