The determinants of student attitude toward e-learning academic achievement during the COVID-19 pandemic

2021 ◽  
Vol 19 (4) ◽  
pp. 0-0
Keyword(s):  
Academic Achievement ◽  
Behavioral Intention ◽  
Teaching Quality ◽  
Learning System ◽  
Systematic Research ◽  
System Quality ◽  
Learning Satisfaction ◽  
School Teaching ◽  
E Learning ◽  
The Impact

Many educational institutions have adopted e-learning methods during the COVID-19 pandemic to maintain school teaching activities. However, systematic research on e-learning effectiveness in such a crisis is quite insufficient. This study aims to explore the impact of e-learning quality on students’ satisfaction during the pandemic in regard to academic achievement and behavioral intention. Through a questionnaire and semester score database, the relevant data of 683 students were collected and then analyzed by PLS-SEM. The result shows that instructor teaching quality and e-learning system quality influence students’ academic achievement and behavioral intention through increasing students’ e-learning satisfaction. E-learning system quality moderated the impact of instructor teaching quality on students’ e-learning satisfaction. The findings of this study provide valuable insights into the comprehensive implementation of e-learning during a crisis.

Assessing the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of cloud-based e-learning systems in the COVID-19 era

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luyan Teng ◽  
Qinyi Tan ◽  
Ali Ehsani
Keyword(s):  
Cloud Computing ◽  
Learning System ◽  
Educational Institutions ◽  
Cultural Characteristics ◽  
Content Type ◽  
Learning Platform ◽  
E Learning ◽  
Training Courses ◽  
The Impact ◽  
The Relationship

PurposeOne of the most significant threats of COVID-19 in the world is the closure of universities, schools, training courses and even companies and organizations. In such a situation and with the free time that has arisen, this threat of education closure can become a golden opportunity for learning and progress in virtual education. E-learning uses information technology (IT) to distribute knowledge and information for training and education. Also, cloud computing is a technology utilized in the IT domain. It can be employed in performing e-learning. Therefore, the main goal of this study is to assess the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era.Design/methodology/approachCloud-based e-learning system (CELS) provides all e-learning requirements like software and hardware resources to promote conventional e-learning technologies. The CELS stands on several factors of diverse aspects that have been of high significance in CELS success. So, these systems must be checked to analyze their significance rate and successfully carry out their effectiveness. On the other hand, these days, the 2019 coronavirus disease (COVID-19) changes our daily lifestyles. Therefore, the present investigation provides a new model investigating the development and success of CELS in the COVID-19 era. Also, an online questionnaire was used to gather the data. The content validity of the questionnaire was obtained by applying the opinions of ten experts from e-learning specialists. The collected data are analyzed using LISREL and Smart PLS software.FindingsThe results from the path coefficient and the sample t-test have implied that skills and knowledge positively influence CELS in the COVID-19 era. In addition, the relationship between cultural characteristics and CELS in the COVID-19 era has been positive and significant. The relationship between the economic situations and the CELS in the COVID-19 era is positive and significant.Practical implicationsThe proposed model helps managers get a big picture of CELS necessities and more effectively in the COVID-19 era. This research has a unique impact on universities to develop an e-learning platform to facilitate the education process in the COVID-19 era. It provides guidelines for educational institutions to effectively implement the learning management system to facilitate students' education.Originality/valueCELS are getting increasingly essential to offer training courses more efficiently in educational institutions. Although the intersection between cloud computing and e-learning has increasingly grown in both practical and academic contexts, few studies on the impact of cultural characteristics, economic situations, skills and knowledge on the development and success of CELS in the COVID-19 era. This paper explores the ignored but critically important subject of CELS. This paper's main contribution is to present a new and integrated model containing the essential aspects of the development and success of CELS in the COVID-19 era. The proposed framework comprises cultural characteristics, economic situations, skills and knowledge aspects simultaneously, as well as sub-criteria denoting each element.

A Blended Course to Teach Graphical Programming Using LabVIEW

2014 ◽  
pp. 330-340
Author(s):  
Yücel Uğurlu
Keyword(s):  
Blended Learning ◽  
Engineering Students ◽  
Experimental Studies ◽  
Learning System ◽  
Self Assessment ◽  
Graphical Programming ◽  
Certification Test ◽  
E Learning ◽  
The Impact ◽  
Blended Course

In this chapter, the authors introduce a blended learning approach where LabVIEW, an e-learning environment, was integrated into a traditional graphical programming course for engineering students to teach advanced topics and to increase the programming skills of the students. In this course, the students were required to design projects using technology. The students designed small projects and frequently accessed the e-learning system to build real-world applications. The projects that students designed stimulated them to use the e-learning system. The impact of blended learning was evaluated on the basis of student surveys and certification test results. Experimental studies show that blended learning produced higher results in the students’ self-assessment and certification test.

A Blended Course to Teach Graphical Programming Using LabVIEW

2015 ◽  
pp. 299-310
Author(s):  
Yücel Uğurlu
Keyword(s):  
Blended Learning ◽  
Engineering Students ◽  
Experimental Studies ◽  
Learning System ◽  
Self Assessment ◽  
Graphical Programming ◽  
Certification Test ◽  
E Learning ◽  
The Impact ◽  
Blended Course

In this chapter, the authors introduce a blended learning approach where LabVIEW, an e-learning environment, was integrated into a traditional graphical programming course for engineering students to teach advanced topics and to increase the programming skills of the students. In this course, the students were required to design projects using technology. The students designed small projects and frequently accessed the e-learning system to build real-world applications. The projects that students designed stimulated them to use the e-learning system. The impact of blended learning was evaluated on the basis of student surveys and certification test results. Experimental studies show that blended learning produced higher results in the students' self-assessment and certification test.

Development and Validation of an Instrument to Measure Student Perceived E-Learning Service Quality

2019 ◽  
Vol 15 (2) ◽  
pp. 15-42 ◽  
Author(s):  
Long Pham ◽  
Kioh Kim ◽  
Bruce Walker ◽  
Thomas DeNardin ◽  
Hanh Le
Keyword(s):  
Service Quality ◽  
Relevant Literature ◽  
Support Service ◽  
Learning System ◽  
System Quality ◽  
University Administrators ◽  
Course Materials ◽  
E Learning ◽  
Development And Validation ◽  
Quality Instrument

While universities have been trying to focus their resources and attention on improving e-learning, many universities seem to be lagging behind students' increasing demands and expectations. In order to sustainably grow in an increasingly competitive e-learning environment, it is clear that universities must provide e-learning students with high quality services. To do this, universities are required to understand the attributes that e-learning students use to evaluate service quality. Unfortunately, little research on e-learning service quality has been conducted. This study developed and validated an instrument to measure student perceived e-learning service quality. Based on the relevant literature review and using responses from 1,232 e-learning students, the authors validated a three-factor e-learning service quality instrument involving e-learning system quality, e-learning instructor and course materials quality, and e-learning administrative and support service quality. Among these three factors, e-learning system quality makes the highest contribution to overall e-learning service quality, followed by e-learning instructor and course materials quality, and e-learning administrative and support service quality. This scale provides a useful measurement for researchers who wish to measure e-learning service quality and for university administrators and managers who want to enhance universities' e-learning servie quality.

Intelligent online teaching system based on SVM algorithm and complex network

2020 ◽  
pp. 1-11
Author(s):  
Chuanxin Fang
Keyword(s):  
Online Teaching ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Research Work ◽  
Principal Component ◽  
Teaching Quality ◽  
Support Vector ◽  
School Teaching ◽  
The Impact ◽  
Quality Evaluation Model

English Online teaching quality evaluation refers to the process of using effective technical means to comprehensively collect, sort and analyze the teaching status and make value judgments to improve teaching activities and improve teaching quality. The research work of this paper is mainly around the design of teaching quality evaluation model based on machine learning theory and has done in-depth research on the preprocessing of evaluation indicators and the construction of support vector machine teaching quality evaluation model. Moreover, this study uses improved principal component analysis to reduce the dimensionality of the evaluation index, thus avoiding the impact of the overly complicated network model on the prediction effect. In addition, in order to verify that the model proposed in this study has more advantages in evaluating teaching quality than other shallow models, the parameters of the model are tuned, and a control experiment is designed to verify the performance of the model. The research results show that this research model has a certain effect on the evaluation of school teaching quality, and it can be applied to practice.

scholarly journals Are Computer Experience and Anxiety Irrelevant? Towards a Simple Model for Adoption of E-Learning Systems

2019 ◽  
Vol 9 (5) ◽  
pp. 112
Author(s):  
Aamer Hanif ◽  
Ahmed Faisal Siddiqi ◽  
Zunera Jalil
Keyword(s):  
Technology Acceptance ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
External Factors ◽  
Learning Systems ◽  
Perceived Usefulness ◽  
Learning System ◽  
University Education ◽  
Computer Experience ◽  
E Learning

Massive growth of technology based e-learning systems is enabling student access to academic content from higher education institutions around the world. This study explores the antecedents of behavioral intention of students to use e-learning systems in university education to supplement classroom learning. A quantitative approach involving a structural equation model is adopted and research data collected from 358 undergraduate students is used for analysis. The study framework is based upon the technology acceptance model (TAM) and three external factors are proposed to influence the behavioral intention of students to use e-learning. Frequently used external factors in previous researches like computer experience and anxiety were not used and alternate factors were explored. Results show that self-efficacy, enjoyment and results demonstrability have a significant positive influence on perceived usefulness and on perceived ease of use of the e-learning system. The study contributes to understanding such contributory factors from the viewpoint of a student by suggesting that these factors hold well in the Pakistani academia culture where sufficient relevant empirical evidence did not exist due to lack of prior studies.

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