Measuring Student Satisfaction Towards iPVD

2015 ◽  
Vol 74 (3) ◽  
Author(s):  
Norliza Abd. Rahmani ◽  
Siti Rozaimah Sheikh Abdullah ◽  
Faezah Esa ◽  
Nazlena Muhamad Ali
Keyword(s):  
Student Satisfaction ◽  
Require Accuracy ◽  
Survey Analysis ◽  
Testing Period ◽  
Survey Form ◽  
Huge Data

This paper examines student satisfaction towards iPVD software. Students were given a brief introduction on this software and required to access online. The URL for iPVD during testing period is http://103.18.247.37/vessel. A survey form was designed by focusing on a variety of iPVD aspects and compared with ASME Manual Code. Results obtained from this survey analysis help us to improve the performance and quality of iPVD software. It was found that students prefer to use iPVD software for calculation with huge data that require accuracy. However, knowledge in basic of calculation such as ASME Manual Code is necessary in using this software.

scholarly journals Determination of satisfaction level of Electrical and Electronic Engineering students of Southeast University

2018 ◽  
Vol 10 (4) ◽  
pp. 312-324
Author(s):  
Muhibul Haque Bhuyan ◽  
Nur Mohammad ◽  
Md. Rumanul Islam ◽  
Abdulla Al Noman
Keyword(s):  
Student Satisfaction ◽  
Engineering Students ◽  
Facilities Management ◽  
Satisfaction Level ◽  
Quality Improvement Process ◽  
Continuous Quality ◽  
Survey Form ◽  
Electronic Engineering ◽  
The University

Electrical and Electronic Engineering (EEE) Department of Southeast University (SEU) considers student opinion as an essential component for the continuous quality improvement process of the program offered by the department. Because, students are the most important stakeholder of the department. To get their opinion and feedback about the department, a survey form was designed identifying six broad categories of the factors that determine the student satisfaction level. In each category, there were several questions that were included in the survey form to know to rate their level of satisfaction on each factor. The main focusing areas were quality of learning environment, academic strengths, campus life, physical facilities, management and leadership as well as extra- and co-curricular activities of the department. Responses were taken on a five-point likert scale for each question. Sample size were chosen based on Krejcie and Morgan formula from the group of a 580 registered existing stduents of the EEE department of Southeast University. Afte collection of data using the survey tools, we analyzed the data to determine the satisfaction level of EEE students studying at Southeast University. The results and analysis of the data were sent to the to the university authority to decide how to improve the quality of education and other facilities of the department as well as of the university.

scholarly journals QUALITY BENCHMARKING IN BUSINESS PERFORMANCE USING SURVEYING TECHNIQUE – REVIEW

2021 ◽  
Vol 9 (8) ◽  
pp. 175-184
Author(s):  
Sivasankaran P ◽  
Radjaram B
Keyword(s):  
Performance Management ◽  
Business Performance ◽  
Mission Statements ◽  
Educational Institutions ◽  
Work Culture ◽  
Survey Analysis ◽  
Actual Performance ◽  
Survey Form ◽  
Successful Execution

In today’s scenario every business organization will try to establish their own objectives/Goals for successful execution in every stage of business performance management system. Benchmarking plays a major role in today’s high competitive work culture in order to compare the actual performance or output against the known standards.  Using benchmarking tool we can assess the performance of business process by measuring the quality of resources, cost of resources, Market share assessment and customer satisfaction level etc are some of the factors which are strongly considered for evaluation. With the help of this tool we can find out the strength and weakness of the organization. In this paper attempt has been made to conduct survey analysis based on literature review information. The study is focused on the performance of engineering educational institutions in India with strong vision and mission statements. Hence a detailed survey form is designed using Google form applications with all parameters.

PENERAPAN iLEARNING SURVEY (iSur) DALAM MENINGKATKAN KUALITAS SISTEM INFORMASI SELAMA PROSES PEMBELAJARAN DI PERGURUAN TINGGI RAHARJA

CCIT Journal ◽  
2014 ◽  
Vol 7 (3) ◽  
pp. 335-354
Author(s):  
Untung Rahardja ◽  
Muhamad Yusup ◽  
Ana Nurmaliana
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Teaching And Learning ◽  
Online Survey ◽  
The Other ◽  
Learning Activities ◽  
Faculty Performance ◽  
Satisfaction Measurement ◽  
Valid Information

The accuracy and reliability is the quality of the information. The more accurate and reliable, the more information it’s good quality. Similarly, a survey, the better the survey, the more accurate the information provided. Implementation of student satisfaction measurement to the process of teaching and learning activities on the quality of the implementation of important lectures in order to get feedback on the assessed variables and for future repair. Likewise in Higher Education Prog has undertaken the process of measuring student satisfaction through a distributed questioner finally disemester each class lecture. However, the deployment process questioner is identified there are 7 (seven) problems. However, the problem can be resolved by the 3 (three) ways of solving problems one of which is a system of iLearning Survey (Isur), that is by providing an online survey to students that can be accessed anywhere and anytime. In the implementation shown a prototype of Isur itself. It can be concluded that the contribution Isur system can maximize the decision taken by the Higher Education Prog. By using this Isur system with questions and evaluation forms are submitted and given to the students and the other colleges. To assess the extent to which the campus has grown and how faculty performance in teaching students class, and can be used as a media Isur valid information for an assessment of activities throughout college.

A Survey of Parametric Static Analysis

2021 ◽  
Vol 54 (7) ◽  
pp. 1-37
Author(s):  
Jihyeok Park ◽  
Hongki Lee ◽  
Sukyoung Ryu
Keyword(s):  
Recent Work ◽  
Static Analysis ◽  
Abstract Interpretation ◽  
Black Box ◽  
Parameter Selection ◽  
Survey Analysis ◽  
Future Directions ◽  
Analysis Techniques ◽  
Analysis Quality

Understanding program behaviors is important to verify program properties or to optimize programs. Static analysis is a widely used technique to approximate program behaviors via abstract interpretation. To evaluate the quality of static analysis, researchers have used three metrics: performance, precision, and soundness. The static analysis quality depends on the analysis techniques used, but the best combination of such techniques may be different for different programs. To find the best combination of analysis techniques for specific programs, recent work has proposed parametric static analysis . It considers static analysis as black-box parameterized by analysis parameters , which are techniques that may be configured without analysis details. We formally define the parametric static analysis, and we survey analysis parameters and their parameter selection in the literature. We also discuss open challenges and future directions of the parametric static analysis.

Quality of learning experience, student satisfaction and perceived overall experience in the COVID-19 context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Venugopal Prabhakar Gantasala ◽  
Swapna Bhargavi Gantasala ◽  
Tareq Na'el Al Tawil ◽  
Prerana Prasad
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Online Courses ◽  
Learning Experience ◽  
Decision Makers ◽  
Undergraduate Level ◽  
Content Type ◽  
The Relationship ◽  
Medical Programs

PurposeThe intention for this study was to explore any relationship that might exist between quality of learning experience (QLE), the second construct student satisfaction (SS) and the third construct perceived overall experience (POE) among undergraduate students within the higher education context. This study also attempts to explain the path direction between QLE, SS and POE.Design/methodology/approachThe researchers utilized structural equation modeling to analyze the variables considered for this study – QLE, SS and POE and for hypotheses testing. Respondents for this study were medical students' coordinators of the undergraduate level of medical colleges in the 28 states of India. Data collected for the study were possible by utilizing a questionnaire that was emailed to these student coordinators. The emailing effort returned 198 (n) filled questionnaires (complete) representing 198 institutions offering undergraduate-level medical programs out of a total of 542 institutions that offer undergraduate medical programs.FindingsFindings from this study confirm the relationship between QLE with SS, and PLE. Interestingly, the findings established a significant relationship between SS and POE.Practical implicationsDecision-makers and administrators of higher education institutions (HEIs) can utilize the findings from this study to focus on strengthening important elements of QLE in ways that positively impact SS and POE of students taking online courses and program offerings. The study reiterates the importance of course content, course structure, lecture-delivery quality, instructor mentoring and student-instructor interactions on SS and POE. The role of SS in reinforcing confirmation, perceived usefulness, perceived openness of the online courses and the perceived reputation was established. This relationship is key to administrators while they focus on improving SS and building on the institutions' reputation in addition to their efforts to support marketing and enrollments during the pandemic.Originality/valueResearchers in the past have examined the relationships between QLE and another construct of this study – SS. Past research has also examined the relationship between QLE and POE. However, there is not enough research exploring the relationship between SS and POE. This study establishes the relationship between SS and POE that benefits decision-makers in higher education.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals Maintainability Evaluation of Object-Oriented Software System Using Clustering Techniques

2013 ◽  
Vol 5 (2) ◽  
pp. 136-143 ◽  
Author(s):  
Astha Mehra ◽  
Sanjay Kumar Dubey
Keyword(s):  
Clustering Algorithms ◽  
Daily Basis ◽  
Computer Assisted ◽  
Program Execution ◽  
Huge Data ◽  
Large Databases ◽  
Input Dataset ◽  
Data Objects

In today’s world data is produced every day at a phenomenal rate and we are required to store this ever growing data on almost daily basis. Even though our ability to store this huge data has grown but the problem lies when users expect sophisticated information from this data. This can be achieved by uncovering the hidden information from the raw data, which is the purpose of data mining.  Data mining or knowledge discovery is the computer-assisted process of digging through and analyzing enormous set of data and then extracting the meaning out of it. The raw and unlabeled data present in large databases can be classified initially in an unsupervised manner by making use of cluster analysis. Clustering analysis is the process of finding the groups of objects such that the objects in a group will be similar to one another and dissimilar from the objects in other groups. These groups are known as clusters.  In other words, clustering is the process of organizing the data objects in groups whose members have some similarity among them. Some of the applications of clustering are in marketing -finding group of customers with similar behavior, biology- classification of plants and animals given their features, data analysis, and earthquake study -observe earthquake epicenter to identify dangerous zones, WWW -document classification, etc. The results or outcome and efficiency of clustering process is generally identified though various clustering algorithms. The aim of this research paper is to compare two important clustering algorithms namely centroid based K-means and X-means. The performance of the algorithms is evaluated in different program execution on the same input dataset. The performance of these algorithms is analyzed and compared on the basis of quality of clustering outputs, number of iterations and cut-off factors.

scholarly journals Assessment of future teachers' satisfaction with the conditions for the implementation of Russian-Chinese joint educational programs

2021 ◽  
Vol 53 (5) ◽  
pp. 110-124
Author(s):  
Luo Wanqi ◽  
◽  
Elena L. Bolotova ◽  
Keyword(s):  
Student Satisfaction ◽  
Research Work ◽  
Educational Programs ◽  
Technical Support ◽  
Educational Process ◽  
Research Activities ◽  
Moscow Institute ◽  
Pedagogical Orientation ◽  
Students Satisfaction

The relevance of the research is due to the need to increase the competitiveness of joint educational programs of pedagogical orientation in the system of Russian-Chinese relations in the field of higher education. The student satisfaction indicator not only indicates the attractiveness/unattractiveness of the educational program, but also allows you to identify the most vulnerable places in the organization of the educational process. The purpose of the study is to identify ways to improve the conditions for the implementation of Russian-Chinese joint educational programs of pedagogical orientation. Materials and methods. The study applied a descriptive method to conducting a survey of students studying under the bachelor's degree majors "Preschool Education", "Music Education", "Fine Arts" at the Moscow Institute of Arts of the Weinan Pedagogical University (Province Shanxi). 198 graduates participated in the questionnaire, accounting for 77% of the total number of graduates from the Moscow Institute of Arts. The study was conducted using the author's questionnaire, compiled taking into account the practice of assessing student satisfaction at Moscow Pedagogical State University and the recommendations of the Ministry of Education of the People's Republic of China on the evaluation of joint Chinese-foreign educational programs. Results. In the study, the assessment of students' satisfaction with learning was carried out in five directions: satisfaction with the quality and content of training, satisfaction with the organization of the educational process, satisfaction with the material and technical support of the educational process, satisfaction with the organization of research activities, satisfaction with the socio-psychological climate at the institute. The study found that students' satisfaction with the organization of the educational process (68.2%) and its material and technical support (66.92%) was the highest, compared with their publishing activities in research work (60.4%). Despite the impossibility of implementing programs under the "3+1" scheme, due to the COVID-19 pandemic, the internal motivation of students during online training in the "4+0" mode did not decrease, which led to the preservation of the contingent of students throughout the entire period of program implementation. Discussion and conclusion. The research results have practical significance for managers, employees and teachers of pedagogical universities participating in the implementation of Chinese-foreign joint educational programs, as well as for representatives of the scientific community dealing with the problems of ensuring the quality of such programs. Further research of students' satisfaction with studying under Russian-Chinese joint educational programs for teacher training can be aimed at analyzing the quality of implementation of such programs at the level of academic degrees of students of pedagogical universities.

scholarly journals Quality of higher education institutions and graduate satisfaction at the Autonomous University of Tamaulipas

2020 ◽  
Vol 4 (32) ◽  
pp. 15
Author(s):  
Miriam Janet Cervantes López ◽  
Arturo Llanes Castillo ◽  
Alma Alicia Peña Maldonado ◽  
Jaime Cruz Casados
Keyword(s):  
Higher Education ◽  
Labor Market ◽  
Student Satisfaction ◽  
Professional Training ◽  
Higher Education Institutions ◽  
Quality Of Higher Education ◽  
Academic Level ◽  
Quality Of Institutions

Higher education institutions face the challenge that their graduates have the competences that allows them to quickly enter to the labor market and obtain an adequate economic remuneration. us graduate satisfaction is a key element in the assessment of the quality of institutions, since it allows us to know their perception regarding the quality received in their professional training. e objective is study the quality of higher education institutions and the satisfaction of the graduate in the Autonomous University of Tamaulipas. e methodology is descriptive and transversal  based on graduates information and satisfaction. As a result, Students are satisfied with their professional training received and their expectations were met since the academic level of the institution is good. It is concluded that studies on student satisfaction are useful for higher education institutions to identify educational and administrative priorities about the service they provide.

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