TY - JOUR
T1 - Assessing Institutional Readiness for Education in Emergency
T2 - A Statistical Analysis
AU - Shawar, Bayan Abu
AU - Al-Sadi, Jehad
AU - Mejri, Sami
N1 - Publisher Copyright:
© 2024 NSP Natural Sciences Publishing Cor.
PY - 2024
Y1 - 2024
N2 - The Commission of Academic Accreditation (CAA) in the United Arab Emirates (UAE) has initiated an assessment to evaluate the progress made by higher education institutions in adapting their educational programs to emergency situations. The primary objective of this initiative is to gather information on the state of e-learning practices in UAE institutes using a customized form of criteria called e-LRCF. The aim of this research study is to assess the readiness of UAE institutions to adopt e-learning and online learning. This paper introduces the rationale for e-LRCF, its criteria, and the stages of its development. We compare the e-LRCF with well-known international quality organizations to ensure its validity and reliability. A statistical analysis of survey responses from various stakeholders regarding e-LRCF revealed that learner engagement and assessment significantly predicted institutional readiness (F (1, 53) = 7.585, p =.008). However, the assessment of program design and delivery did not significantly predict institutional readiness (F (1, 53) = 1.332, p =.254).
AB - The Commission of Academic Accreditation (CAA) in the United Arab Emirates (UAE) has initiated an assessment to evaluate the progress made by higher education institutions in adapting their educational programs to emergency situations. The primary objective of this initiative is to gather information on the state of e-learning practices in UAE institutes using a customized form of criteria called e-LRCF. The aim of this research study is to assess the readiness of UAE institutions to adopt e-learning and online learning. This paper introduces the rationale for e-LRCF, its criteria, and the stages of its development. We compare the e-LRCF with well-known international quality organizations to ensure its validity and reliability. A statistical analysis of survey responses from various stakeholders regarding e-LRCF revealed that learner engagement and assessment significantly predicted institutional readiness (F (1, 53) = 7.585, p =.008). However, the assessment of program design and delivery did not significantly predict institutional readiness (F (1, 53) = 1.332, p =.254).
KW - A Statistical Analysis
KW - Academic Accreditation
KW - COVID
KW - e-Learning
KW - e-LRCF
KW - Institutional Readiness
KW - Modelling
KW - Quality Assurance
UR - http://www.scopus.com/inward/record.url?scp=85197415289&partnerID=8YFLogxK
U2 - 10.18576/amis/180503
DO - 10.18576/amis/180503
M3 - Article
AN - SCOPUS:85197415289
SN - 1935-0090
VL - 18
SP - 947
EP - 955
JO - Applied Mathematics and Information Sciences
JF - Applied Mathematics and Information Sciences
IS - 5
ER -