Overall Significance’s Rank of Leadership Factors Amongst Critical Success Factors for Construction Projects

Nasaruddin, Nur Ain Ngah; Rahman, Ismail Abdul

doi:10.1007/978-981-10-8016-6_3

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…Hence, the threshold range to decide the level of critically, this study formulated the range for determining the levels as follow; for mean values in the range of 1.00 to 1.50, the factor is considered having very low influence. For mean values in the ranges between 1.51 to 2.50, it is considered as low influence, while for the range between 2.51 to 3.50 is considered having moderate influence; for the range between 3.51 to 4.500 is considered high influence and for the range between 4.51 to 5.00 having very high influence (Gamil et.al., 2020;Nasaruddin and Rahman, 2019). The results obtained from the analysis for the success factors are presented in table 1.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Success Factors in Adopting Artificial Intelligence in E-Learning Environment

Alnaqbi¹,

Yassin²

2021

IJSCET

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This paper focuses on assessing the critical success factors [CSF]in the adoptionofartificial intelligence (AI) technology in E-learning. It is a quantitative assessment study based on the students and teachers’perceptions of United Arab Emirates the Joint Command and Staff College (JCSC). Data was collected using questionnaire survey where the questionnaire was distributed to a total of 240 JCSC students and teachers of the college however only 207 completed forms were received. The questionnaire contained 20 CSF in seven group to investigate the level of importance of each CSF in adopting AI and E-learning using 5-points Likert scale. The data was analysed descriptively using SPSS software package. The results of the analysis found that eighteen of twenty CSFs considered in the investigation are reported as high level of importance. The most important CSF is that “AI systems able to compute big data for improving teaching” with having the highest mean score of 4.04 in adopting AI technology in E-learning for the UAE military colleges. In term of factors’ group, the most important group is “making education more interesting’’ with having mean score of 3.98. however, further analysis found that respondents having higher degree picked personalizationgroup while respondent having a lot of teaching experience respondents picked performance monitoringgroup of factors as the most critical success factors groups. The findings from this study are very helpful in formulating strategies for the promotion of AI advanced technology in the education system and getting its maximum benefits.

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Section: Resultsmentioning

confidence: 99%

Evaluation of Success Factors in Adopting Artificial Intelligence in E-Learning Environment

Alnaqbi¹,

Yassin²

2021

IJSCET

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“…The scale was adopted from (Gamil et.al. 2020;Nasaruddin and Rahman, 2019) where 1 for "unimportant", 2 for "of little importance", 3 for "important", 4 for "moderately important," and 5 for "very important". Collected data was analyzed with the help of the Statistical Packages for the Social Sciences (SPSS) software.…”

Section: Methodsmentioning

confidence: 99%

Current Status, Challenges and Strategies of Artificial Intelligence and E-learning the UAE Military Education System

Alnaqbi¹,

Yassin²

2021

IJSCET

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Recently,UAE has adoptedArtificial Intelligence(AI)and e-learning system in several fields including education. Together with the institutions running on conventional educational system, military colleges have also embrassed this new technology. This study assessed the current status of adoption, challenges and strategies of using AI based e-learning system in the UAE military based colleges. The study was carried out based on the perception of the teachers and students of Joint Command and Staff College (JCSC). A set of the questions was presented to the 50 teachers and 157 students for highlighting the level of agreement for each question. The questions were devided into three sections as level of adoption, challenges, and strategies in using AI based e-learning education system. The study found that for current status, AI and e-learning have got siginificant popularity in the education system due to high level of flexibility. While the challenges, the lack of human relations between teacher and student is reported as the major challenge faced in adoption of AI based e-learning system. Finally, for the strategies, the respondents indicated that the UAE is trying to develop plans and alternatives to address the discrepancy between traditional teaching and artificial intelligence methods adapted in the military college. This study provides a valuable source of information for devicing strategies to promote the uses of these modern tools and also motivate the students to get the maximum benefits of AI and e-learning technologies.

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The predictive power of managers' leadership attributes on workers' performance: a case of New Zealand construction industry

Rotimi

Witton²,

Rasheed

2021

International Journal of Construction Management

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Overall Significance’s Rank of Leadership Factors Amongst Critical Success Factors for Construction Projects

Cited by 3 publications

References 11 publications

Evaluation of Success Factors in Adopting Artificial Intelligence in E-Learning Environment

Evaluation of Success Factors in Adopting Artificial Intelligence in E-Learning Environment

Current Status, Challenges and Strategies of Artificial Intelligence and E-learning the UAE Military Education System

The predictive power of managers' leadership attributes on workers' performance: a case of New Zealand construction industry

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