scholarly journals Computing departments' academics' perceptions on the impact of Learning and Management Systems on academic performance

2019 ◽  
Author(s):  
◽  
Mbangata Lubabalo
Keyword(s):  
Academic Performance ◽  
The Self ◽  
Management Systems ◽  
Pedagogical Beliefs ◽  
Factors Affecting ◽  
Software Packages ◽  
E Learning ◽  
Perceived Impact ◽  
Learning Software ◽  
The Impact

There are currently more than 500 commercial e-Learning software packages and 300 educational e-Learning software packages, but the surprising fact is that academic failure remains high in universities, especially for first-year students, despite all these advances made by e-Learning. It is this high failure rate problem in this e-Learning era that is at the core of this study whose aim is to model factors affecting the perceptions of academics on the impact of learning management systems (LMSs) on academic performance. This aim will be achieved by following the research question: what are the factors that are affecting the perceptions of academics on the impact of learning management systems on academic performance? Three types of research objectives are used to achieve this aim, namely: (i) to design a theoretically sound model of the factors affecting the perceptions of academics on the impact of LMSs on academic performance. (ii) to empirically test the designed model. (iii) to suggest recommendations on how to improve the perceptions of academics on the impact of LMSs on academic performance. Objectives (i) was accomplished through a content analysis method of reviewing of existing appropriate literature of factors that are affecting the impact of LMSs on e- Learning context; whilst objective (ii) was met by conducting a survey of seventy-eight (78) academic staffs from four public universities of KwaZulu-Natal province of South Africa. On the other hand, objective (iii) was met through a comparison of the results of the survey conducted against the literature analysed. The outcomes of these three objectives are as follows: (i) the Welberg’s theory of education, the self-determination theory, the self-regulated learning theory, the social constructivism theory, and the task technology fit theory can be used as suitable theories applicable to examine the perceived impact of e-Learning on academic performance. (ii) It makes logic to theorize that, on the one hand, academics’ perceived impact of LMSs on academic performance are indirectly affected by their gender, their type of employment and their ethnicity. On the other hand, academics’ attitude towards e-Learning, their computer self-efficacy, their pedagogical beliefs, and their use of LMSs directly affects their perceived impact of LMSs on academic performance of students. It can be concluded that academics’ perceived impact of LMSs on academic performance can be enhanced by optimising academics’ computer self-efficacy, their pedagogical beliefs, and their attitude towards LMSs.

scholarly journals Exploration of Factors Affecting Learners' Motivation in E-learning

2019 ◽  
pp. 1269-1275
Author(s):  
Shubham Dubey ◽  
Biro Piroska ◽  
Manjulata Gautam
Keyword(s):  
Dropping Out ◽  
Individual Factor ◽  
Factors Affecting ◽  
E Learning ◽  
Learning Platforms ◽  
The Common ◽  
Khan Academy ◽  
Future Work ◽  
The Impact

The world is changing rapidly, so is academics. E-learning has altered the area of academics and education. ICT enabled learning has given ideal services to students by providing any type of content on demand which is proportional to the performance of students. The concentration of learner has been found instinctive; thus there is a need of engaging mind towards course progress with its entirety till the objectives of the course will be achieved. There are several e-learning platforms available as EdX, Udacity, Khan Academy, Alison those have a number of learners registered for various courses. Studies suggest that these platforms suffer from the common problem of learners’ dropping out. Investigations also claim early leaving rate is increasing due to lack of quality of content, distraction factors, learners’ mind change, outdated and succinct information, and some more detraction factors. These issues have been observed on the basis of early leaving rates in various MOOCs. Thus there is a mammoth scope for minimizing the impact of these reasons on the learners’ mind. It can be achieved by identifying these factors affecting learners’ motivation during the course. This study is aiming on identifying these factors. The approach is to explore some certain keywords on previous literature (total 41) and then calculating their frequencies and co-factors associated with them. Both grouped factors contribution and individual factor contribution have been taken care. The study gives a direction for future work towards overcoming these actor and engaging learners in ICT enabled learning.

scholarly journals Analysis of Factors Affecting the Auditory Attention of Non-native Speakers in e-Learning Environments

2021 ◽  
Vol 19 (3) ◽  
pp. pp159-169
Author(s):  
Nikesh Bajaj ◽  
Jesús Requena Carrión ◽  
Francesco Bellotti ◽  
Riccardo Berta ◽  
Alessandro De Gloria
Keyword(s):  
Learning Environments ◽  
English Language ◽  
Native Speakers ◽  
Sentence Length ◽  
Language Abilities ◽  
Significant Drop ◽  
Factors Affecting ◽  
E Learning ◽  
Listening Task ◽  
The Impact

: One of the most striking characteristics of e-Learning audiences is their diversity. Native and non-native learners can be expected among such audiences and therefore, when developing e-Learning courses it is important to consider the impact of the language level on learning. Specifically, non-native learners are expected to have a diminished auditory perception compared to native ones and hence reduced attention capabilities that could result in a poorer performance. In this study, we assess the impact of linguistic and auditory factors on the attention of non-native learners, namely semanticity, sentence length and noise level. An English language platform mimicking real e-Learning environments is used and attention is quantified by measuring the number of English words correctly identified during a listening task. Our results show that changes in each factor affect the attention score significantly. Interestingly, the effects of semanticity are apparent in noiseless environment, but vanish in noisy ones.  Results also show that in noiseless environments, a change in the length of semantic sentences from small or medium to long causes a significant drop in the attention score. Our results demonstrate the importance of carefully accounting for linguistic and auditory factors when designing effective e-Learning courses, especially when they target global audiences and learners with different language abilities are expected.

Is E-Learning a Pro-Active Response to, or Reaction to, Changes in Educational Policy and Patterns of Educational Demand?

2014 ◽  
pp. 253-267
Author(s):  
Allan M. Lawrence ◽  
Peter J. Short ◽  
Deborah Millar
Keyword(s):  
Higher Education ◽  
Educational Policy ◽  
Higher Education Institutions ◽  
Developed Countries ◽  
Quality Factors ◽  
Student Work ◽  
Factors Affecting ◽  
Educational Demand ◽  
E Learning ◽  
The Impact

This chapter reviews and investigates the models and acceptability of E-Learning to the emerging students markets for Higher Education Institutions (HEIs) from the More Developed Countries (MDCs) and seeks to evaluate the differing models of delivery from a practical and a socio-economic perspective. The research also investigates the impact of the shifts in population growth and the subsequent impact upon the levels of demand from students in Less Developed Countries (LDCs) for higher education. In addition, the logistical and quality factors affecting E-Learning are evaluated, looking at the aspects of academic rigour, plagiarism, and the methods of managing the originality and authenticity of student work. Similarly, the research looks at the viability of situations where the education provider may never physically meet the students through the exclusive use of VLEs, and the possible credibility issues that this may present to institutional and awarding body reputations.

scholarly journals The Impact of E-Learning Strategy on Students' Academic Achievement. Case Study: Al- Quds Open University.

2020 ◽  
Vol 9 (6) ◽  
pp. 44
Author(s):  
Yousef Abdel Latif Abdel Jawad ◽  
Basem Shalash
Keyword(s):  
Academic Performance ◽  
Learning Strategy ◽  
Arabic Language ◽  
Open University ◽  
Language Programs ◽  
Paired Samples ◽  
The Social ◽  
Learning Programs ◽  
E Learning ◽  
The Impact

The study examines the effect of e-learning on the students’ academic performance at Al-Quds Open University. 382 students have been randomly selected from the university's official records where a statistical analysis of the study variables was performed using the Statistical Package of Social Sciences program (SPSS.20).  The study hypotheses were tested by Paired Samples T-tests.The study has revealed that there are statistically significant differences in the students’ academic performance over the implementation of the e-learning strategy with regard to the level of the vast majority of students, gender, educational program, as well as their academic level.The study recommends the necessity of enhancing the e-learning strategy in the higher education institutions to foster the students’ academic performance taking into account the specificity of some learning programs such as the Arabic language programs and the social studies.

scholarly journals The Impact of Extended E-Learning on Emotional Well-Being of Students during the COVID-19 Pandemic in Saudi Arabia

Children ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Sehar-un-Nisa Hassan ◽  
Fahad D. Algahtani ◽  
Mohammad Raafat Atteya ◽  
Ali A. Almishaal ◽  
Ahmed A. Ahmed ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Regression Analysis ◽  
Academic Performance ◽  
University Students ◽  
Emotional Health ◽  
Well Being ◽  
Female Students ◽  
Academic Calendar ◽  
E Learning ◽  
The Impact

Educational institutions in Saudi Arabia extended e-learning until the third semester of the academic calendar to prevent the spread of COVID-19 infection and to achieve 70% inoculation for the Saudi population. This study assesses the impact of extended e-learning and other associated stressors on the emotional health of university students in Saudi Arabia. An online cross-sectional survey collected data between the months of January–March 2021. The emotional signs of stress were measured by using a subset of items from the COVID-19 Adolescent Symptom and Psychological Experience Questionnaire (CASPE). Data about demographic variables, educational characteristics and academic performance were also collected. A regression analysis was performed to determine predictors of emotional health. A total of 434 university students including females (63%) and males (37%) provided responses. One-third of students (33%) indicated that the COVID-19 pandemic and its resulting changes including online distance studies greatly influenced their daily lives in a negative way. The regression analysis demonstrated that female students and students with average academic performance had increased vulnerability to experience emotional signs of stress (p < 0.05). The factors ‘Not going to university’ and ‘Not having a routine life’ were significant predictors of stress responses (p < 0.01) and (p < 0.001) respectively. E-learning during the COVID-19 pandemic made it possible for students to complete their studies as per academic calendar; simultaneously, it increased the vulnerability to experience stress, particularly for female students and students with average academic performance. These findings imply that academic advising and counseling services should be more readily available during digital studies to support at risk students.

scholarly journals Prediction of learners’ mathematics performance by their emotional intelligence, self-esteem and self-efficacy

2020 ◽  
Vol 15 (3) ◽  
pp. 492-501
Author(s):  
Christian Sunday Ugwuanyi ◽  
Chinedu I.O. Okeke ◽  
Chinyere G. Asomugha
Keyword(s):  
Academic Achievement ◽  
Emotional Intelligence ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Self Esteem ◽  
The Self ◽  
Factors Affecting ◽  
Anambra State ◽  
Achievement In Mathematics ◽  
The Impact

In spite of the place of mathematics in the Nigerian education system, the performance of students in both external and internal examinations is on the downward trend. Research on factors affecting students’ achievement in mathematics has often neglected the impact of psychological variables, such as emotional intelligence, self-esteem, and self-efficacy. This study, therefore, was designed to study how emotional intelligence, self-esteem and the self-efficacy of students predict their academic achievement in mathematics. The correlational survey research design was employed with a population of 2,937 senior secondary 2 students and a sample of 400 students sampled from 16 secondary schools in the Nnewi Education zone of Anambra State. Emotional intelligence, Self-esteem, Self-efficacy Questionnaires, and Students' Academic Achievement Score Form (SAASF) were used to collect data through the direct delivery method. Data were analyzed using simple linear regression analysis. The results showed that emotional intelligence, self-esteem, and self-efficacy had significant predictive powers on students' academic achievement in mathematics. Thus, emotional intelligence, self-esteem, and the self-efficacy of students are prime determinants of their achievement in mathematics. It was recommended that students should be taught using methods that will enhance their emotional intelligence, self-esteem, and self-efficacy.     Keywords: Emotional intelligence, Mathematics Achievement, Secondary school, Self-efficacy, Self-esteem; 

scholarly journals Exit Slips As Predictor of Academic Performance

2021 ◽  
Vol 1 (2) ◽  
pp. 52-61
Author(s):  
Raymart Basco
Keyword(s):  
Academic Performance ◽  
Science Achievement ◽  
Pearson Correlation ◽  
Positive Association ◽  
Vital Role ◽  
The Self ◽  
Coefficient Of Determination ◽  
Instructional Objectives ◽  
Descriptive Survey ◽  
The Impact

Formative assessment plays a vital role in the delivery of quality and relevant education among learners. Data derived from the assessment results provide pieces of evidence for teachers to determine learners who need assistance, advance instructional objectives, track learners’ progress toward those standards, and identify what intervention and support are required. This descriptive-survey research examined the impact of exit slips in predicting intermediate pupils’ science achievement. Seventy-three pupils were involved in the study who were selected through a total sampling. Weighted mean, ranking, standard deviation, mean percentage score, frequency, Pearson correlation coefficient, and coefficient of determination were utilized to process and analyze statistically the data using SPSS. The findings of the study highlighted that exit slips can help learners in their learning since they reflect pupils’ understanding and increase accountability among them. The results revealed that there was a high positive association between the self-rating report and the academic performance of the respondents. The impact of self-reported rating was found significant on the performance of the pupils. Hence, when teachers took necessary and relevant remediation as well as enrichment based on the self-reported rating, academic performance may be improved. It was recommended that teachers may adapt the use of exit slips in their classes to improve academic performance among learners.

scholarly journals Better Choice, Better Health? Social Integration and Health Inequality among International Migrants in Hangzhou, China

2020 ◽  
Vol 17 (13) ◽  
pp. 4787
Author(s):  
Xiaoguang Fan ◽  
Fei Yan ◽  
Wei Yan
Keyword(s):  
Socioeconomic Status ◽  
Social Integration ◽  
Health Inequality ◽  
Developed Countries ◽  
The Self ◽  
Factors Affecting ◽  
Self Rated Health ◽  
Starting Point ◽  
International Migrants ◽  
The Impact

The aim of this study is to investigate the impact of social integration and socioeconomic status on immigrant health in China. Taking the framework of social determinants of health (SDH) as the theoretical starting point, this paper uses the Hangzhou sample of the 2018 Survey of Foreigners in China (SFRC2018) to explore two core factors affecting the health inequality of international migrants in China: the level of social integration following settlement, and socioeconomic status before and after coming to China. The results show that having a formal educational experience in China helped improve both the self-rated health status and self-assessed change in health of international migrants; that the socioeconomic status of an emigrant’s home country affected self-rated health; and that the self-assessed change in health of immigrants from developing countries was significantly higher than those from developed countries. This study concludes that the health inequalities of immigrant populations in China must be understood in the context of China’s specific healthcare system and treatment structure.

The Technological Advancement of LMS Systems and E-Content Software

2012 ◽  
pp. 219-245
Author(s):  
Dorota Dzega ◽  
Wieslaw Pietruszkiewicz
Keyword(s):  
Learning Process ◽  
Business School ◽  
Learning Management Systems ◽  
Management Systems ◽  
Technological Advancement ◽  
Rich Internet Application ◽  
Different Types ◽  
E Learning ◽  
Internet Application ◽  
Learning Software

This chapter will present the practical aspects of Learning Management Systems adoption by describing this process from the perspective of evolution, observed for LMS and e-content software at West Pomeranian Business School. The chapter will address issues and found solutions relating to LMS deployment and evolution, noticed during the management of e-learning studies. In its first part, chapter will explain the requirements for different types of studies and how they influenced the shape of LMS systems. In the following sections, the chapter will analyze different technologies and software used in the e-learning process. This analysis will also describe how efficiently use the functionality of e-learning software in relation to the users’ requirements. The last part of chapter will present SPE - SDART Presentation Engine, being an innovative e-learning presentation engine, developed in form of Rich Internet Application, to overcome the limitations observed for the previously used presentation engines.

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