Enhancing the E-Content Skills of Instructors Through the Use of Cloud-Based Mobile Learning Environment: A Case of a Saudi Arabian University

2021 ◽  
pp. 49-66
Author(s):  
Ahmed Majoon Alenezi
Keyword(s):  
Cloud Computing ◽  
Learning Environment ◽  
Mobile Learning ◽  
Experimental Approach ◽  
Training Programme ◽  
Faculty Members ◽  
Significant Difference ◽  
Mobile Learning Environment ◽  
And Performance ◽  
The Impact

The research aims to design a mobile learning environment based on cloud computing applications to enhance the designing and publishing e-content skills of the faculty members of Northern Borders University, Saudi Arabia. The researcher used the semi- experimental approach to measure the impact of the mobile learning environment on the cognitive and performance aspects of the faculties. Two research tools were used in the study: an electronic achievement test to measure the cognitive aspect and an observation sheet to measure the performance aspects of designing and publishing e- content skills of faculty members (N=53). A training programme on mobile learning environment based on cloud computing was conducted to enhance the faculty members’ e-content designing skills. There was a statistically significant difference between the average scores of the members in their pre-and post-study assessment of the cognitive and performance aspects of designing and publishing e-content skills. Following the training programme, the faculty’s achievement scores increased to 84% from 42% in the pre-test; their performance to apply the learned skills in various activities improved to 91% from 43%. Based on the results of the study, it can be recommended that the mobile learning environment based on cloud computing applications is quite helpful in developing the skills of using technology by the faculty members.

Shallow Analysis of Mobile Learning Environment under Cloud Computing

2011 ◽  
Vol 403-408 ◽  
pp. 1447-1450 ◽  
Author(s):  
Jing Dong ◽  
Jun Han ◽  
Jing Liu ◽  
Hui Bin Yin
Keyword(s):  
Cloud Computing ◽  
Learning Environment ◽  
Mobile Learning ◽  
Mobile Communications ◽  
Network Technology ◽  
Communications Technology ◽  
Learning Space ◽  
Computing Model ◽  
Mobile Learning Environment ◽  
The Impact

Mobile learning is a new way of application of mobile communications technology. As a new way of learning mode and technology it must be pay much attention. It is severely affected by network technology. Cloud computing, a new computing model, is proposed based on a distributed system, grid computing, etc. It is a new way of sharing infrastructure. Cloud computing will develop a new environment of learning space, information sharing, collaboration and learning to the field of education. This article explores the impact of Cloud computing to mobile learning from several factors of the mobile learning environment.

scholarly journals IMPACT OF WORKPLACE BULLYING ON THE ATTITUDE AND PERFORMANCE OF UNIVERSITY TEACHERS

2021 ◽  
Vol 8 (2) ◽  
pp. 10-15
Author(s):  
Muhammad Naveed Khalid ◽  
Asif Iqbal ◽  
Farah Shafiq
Keyword(s):  
Workplace Bullying ◽  
Freedom Of Expression ◽  
Negative Attitude ◽  
Faculty Members ◽  
University Teachers ◽  
Female Teachers ◽  
Significant Difference ◽  
Aggressive Attitude ◽  
And Performance ◽  
The Impact

Workplace Bullying is a form of cognitive extremism at work. It revealed in misbehavior, activities, and verbal remarks, often deceptive, used to destabilize the person. This behavior results in mental surrender. Bullying leads to the victim’s withdrawal from an institute. It often happens in the form of deleterious remarks, unjustified blame, and submitted abuses. It destabilizes the freedom of expression, isolate the victims, querying them personally and professionally, and deny their access to resources to perform their task. It threatens the victims’ health and make them insecure. The current study is designed to investigate the impact of workplace bullying on the attitude and performance of university teachers. One hundred teachers (38 males and 62 females) were selected randomly from a total of 700 faculty members. Data were collected with the help of self-developed instrument, Teachers Workplace Bullying Attitude and Performance Survey (TWBAPS) with Cronbach Alpha reliability .965. Mean, standard deviation, ANOVA and t-test were applied to analyze the results. There was a significant difference between male and female teachers’ attitude and performance. Female teachers were victimized by their colleagues and heads. They showed a more aggressive attitude and low performance. Male teachers showed more violent behaviors than females. It is recommended to stabilize the academic environment at university level by discouraging the negative attitude among faculty members. Key words: Academic bullying, aggressive attitude, teachers’ performance

scholarly journals Investigating the relationship between leadership style of nursing department managers and work engagement in faculty members of Iranian universities of medical sciences

2021 ◽  
Author(s):  
S KhoshKesht ◽  
A Yaghoobzadeh ◽  
N Dehghan-nayeri‏
Keyword(s):  
Transformational Leadership ◽  
Leadership Style ◽  
Work Engagement ◽  
Work Experience ◽  
Faculty Members ◽  
Validity And Reliability ◽  
Significant Difference ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Introduction: The success of an organization is determined by its human ‎resources. Work engagement leads to higher productivity and performance of the organization. Leaders seek to understand the impact of ‎their leadership style on work engagement. This is even more important in educational organizations but research in this area is insufficient. This study aimed to investigate the relationship between department ‎manager’s leadership styles and faculty member’s work engagement in some Iranian universities of medical ‎sciences‎. Methods: This was a descriptive-analytical correlational study. 149 people including faculty members and department managers with at least 6 months of work experience were selected through the convenience sampling method. Data collection tools included ‎a demographic questionnaire, a multi-factor leadership questionnaire, and a Schaufeli & Bakker work engagement questionnaire whose validity and reliability were examined. ‎Data were analyzed using SPSS software version 16. Result: A total of 114 faculty members with 13.42 ± 9.75 and 35 department managers with 19.91 ± 8.67 work experience participated in this study. Faculty members reported high work engagement. There was a positive and significant relationship between work engagement and interactional (P = 0.010) and transformational leadership (P = 0.001). ‎There was a significant difference between manager’s and employee’s views on the interactional ‎and transformational leadership (P < 0.001). Conclusion: Managers can promote job engagement by selecting the proper leadership style, and the advantages can be leveraged to boost organizational productivity.

scholarly journals The Impact of M-Learning Activities on the IT Success and M-Learning Capabilities of the Special Education Teacher Candidates

2016 ◽  
Vol 8 (3) ◽  
pp. 267 ◽  
Author(s):  
Emrah Soykan ◽  
Fezile Ozdamli
Keyword(s):  
Special Education ◽  
Cloud Computing ◽  
Learning Environment ◽  
Mobile Learning ◽  
Teacher Candidates ◽  
Information Technologies ◽  
Computing Services ◽  
Learning Capabilities ◽  
Cloud Computing Services ◽  
The Impact

The advantages of using mobile devices and cloud computing services in education are accepted by many researchers. Also, in educating students who are in need of special education, the use of cloud computing services is inevitable. So, this case requires teacher candidates who are planning to teach in those special education centers to be able to use these technologies sufficiently, be able to perceive positively and in order to be able to follow future improvements and innovations. Therefore, the aim of this study is to identify the perceptions of teacher candidates’ mobile learning implementations that are supported by cloud computing services towards mobile learning. This is an experimental study. Study group consists of 56 teacher candidates from special education department. Lessons are lectured in a blended learning environment of SkyDrive cloud with a variety of materials. Pre-test and post-test results of the students in terms of using mobile tools in mobile learning environment, success in information technology.Keywords: Keywords: Mobile Learning, Cloud Computing, Information Technologies

scholarly journals The impact of image and performance enhancing drugs on bi-ventricular structure and function in strength-trained athletes and the association to fat-free mass

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
B Morrison ◽  
N Chester ◽  
R Mcgregor-Cheers ◽  
G Kleinnibbelink ◽  
C Johnson ◽  
...  
Keyword(s):  
Allometric Scaling ◽  
Strain Imaging ◽  
Fat Free Mass ◽  
Composition Analysis ◽  
Lv Mass ◽  
Significant Difference ◽  
And Performance ◽  
Performance Enhancing Drugs ◽  
The Impact ◽  
Performance Enhancing

Abstract Funding Acknowledgements Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): Canadian Institute of Health Research Michael Smith Foreign Study Supplement Background Image and performance enhancing drugs (IPED) cause cardiac enlargement and dysfunction. Previous work has not assessed impact of user status (current [CU] vs. past [PU]) or allometric scaling cardiac dimensions for individual differences in fat-free mass (FFM). Purpose To investigate CU and PU of IPED and allometric scaling on LV and RV remodeling in strength-trained athletes. Methods Thirty-four (29 ± 6 years; 82% male) strength-trained athletes were recruited. Fourteen were CU, 9 PU and 11 non-users (NU) of IPEDs.  Participants underwent bioelectric impedance body composition analysis, IPED and training questionnaire and 2D echocardiography with strain imaging. All structural data was allometrically scaled to FFM according to the laws of geometric similarity. Results CU and PU had significantly higher FFM compared to NU (82.4 ± 10.1 kg vs. 72.0 ± 6.3 kg vs. 58.2 ± 14.0 kg). Absolute values of all RV and LV size were larger between CU and NU. LV mean wall thickness (MWT) was larger in CU compared to PU but there were no differences between PU and NU. Allometric scaling eliminated all differences with exception of LV mass and LVMWT. LVEF was significantly lower in CU and PU compared to NU (55 ± 3 vs. 57 ± 4 vs. 61 ± 4) whilst LV GLS was lower in CU compared to PU and NU and LV GCS was lower in CU compared to NU but not PU. There was no significant difference between groups for RV functional indices. Conclusion  Strength-trained athletes currently using IPEDs have bi-ventricular enlargement as well as reduced LV function. Allometric scaling highlights that increased size is partially associated with a larger FFM, with exception of LVMWT which is independently increased through IPED use. PUs demonstrate reverse structural remodeling whilst functional differences partially remain. CU PU NU RVD1 (mm) 45 ± 5* 43 ± 6 37 ± 6 Scaled RVD1 (mm/kg^0.33) 10.5 ± 0.9 10.4 ± 1.5 9.7 ± 1.0 LVd (mm) 58 ± 7* 55 ± 4 50 ± 4 Scaled LVd (mm/kg^0.33) 13.4 ± 1.2 13.3 ± 0.7 13.1 ± 0.6 MWT (mm) 10 ± 1*” 8 ± 1 8 ± 1 Scaled MWT (mm/kg^0.33) 2.3 ± 0.2*” 2.0 ± 0.1 2.0 ± 0.2 LVEDV (ml) 169 ± 42* 135 ± 28 116 ± 28 Scaled LVEDV (ml/kg) 2.0 ± 0.4 1.9 ± 0.3 2.0 ± 0.2 LV Mass (g) 255 ± 85*” 179 ± 30 137 ± 40 LV mass index (g/kg) 3.1 ± 0.8* 2.5 ± 0.3 2.4 ± 0.4 * CU and NU “ CU and PU ^ PU and NU Abstract Figure. Myocardial strain imaging

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