scholarly journals Evaluating the Efficacy of E-learning in Spain: A Diagnosis of Learning Transfer Factors Affecting E-learning

2011 ◽  
Vol 30 ◽  
pp. 2199-2203 ◽  
Author(s):  
Pilar Pineda-Herrero ◽  
Carla Quesada ◽  
Alexandra Stoian
2017 ◽  
Vol 19 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Khalil Dirani

The Problem The learning transfer literature is mainly concerned with understanding what transfer of learning is, factors affecting the transfer, and measurements of transfer factors. Researchers have identified variables likely to foster transfer such as supervisor and peer support, role ambiguity, negative change, job stress, intrinsic and extrinsic incentives, relevance of training content, goal-setting posttraining interventions, and self-efficacy, among others. Traditional learning transfer models such as Baldwin and Ford model or the Learning Transfer System Inventory (LTSI) are frequently used to measure factors affecting transfer of training and to help human resource development (HRD) practitioners move beyond the question of whether training works to why training works. Transfer models over the past 20 years have been used to assess transfer systems, including factors at the individual, group, and organization levels, that influence transfer of training to job performance. However, little space has been dedicated to the process of transfer and factors associated to transfer in a military context, and little attention has been given to understanding other factors, not included in traditional transfer models in assisting veterans’ transition from the military to civilian workforce. The Solution This work used self-reported data from military-turned-civilian employees who were interviewed to understand the process of training transfer and to learn about the extent they were able to transfer the skills and knowledge learned in military training to their workplace. The study explored factors likely to influence training transfer from military learning cultures to civilian organizations. Results provided a better understanding on how HRD scholars and practitioners can work with, and prepare, individuals to successfully transition from a military life to the civilian workforce. A variety of individual and organizational themes emerged from the data analysis including factors such as adult learning principles, motivation to transfer, individual and organizational engagement, and roles of veterans, peers, and supervisors. The Stakeholders Human resource and organization developers working with military contexts will find this information particularly useful as well as scholars interested in investigating the transfer of training framework.


2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.


Author(s):  
Shubham Dubey ◽  
Biro Piroska ◽  
Manjulata Gautam

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.


2021 ◽  
Vol 19 (3) ◽  
pp. pp159-169
Author(s):  
Nikesh Bajaj ◽  
Jesús Requena Carrión ◽  
Francesco Bellotti ◽  
Riccardo Berta ◽  
Alessandro De Gloria

: 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.


2021 ◽  
Author(s):  
Leila Kianfard ◽  
Farkhonde Amin SHokravi ◽  
Sakineh Rakhshanderou ◽  
Shamsaddin Niknami

Abstract BackgroundPhysical activity during pregnancy period is one of the issues with priority during pregnancy period. Researches show that women reduce their physical activity during this period and are unaware of the benefits on the health of the mother and embryology. Although researchers regarding physical activity during pregnancy have prepared many guidelines; it is not however clear why pregnant women do not perform physical activity and the effectiveness factors that facilitate the desired behavior. MethodsThe research population included all pregnant women aged 18 to 40 years with gestational age of 12-38 weeks referring to the healthcare centers in District 5 of Tehran Municipality, from 22 districts of the city who had eliminated their physical activity during pregnancy. Questionnaires of physical activity assessment questionnaire after educational intervention in pregnant women (PPAQ) and a questionnaire designed based on the results of the needs assessment and the dimensions of the PEN-3 model were used for assessment. This study is a Research Clinical Trial (RCT). Due to the nature, a quasi-experimental research design (pre-test, post-test) with the control group was used in this research. ResultsBased on the obtained results, the intervention based on E-learning has a significant effect of enabling factors to increase physical activity in pregnant women in the experimental group. In addition, the intervention based on E-learning has a significant effect on the training factors in order to increase physical activity in pregnant women in the experimental group. ConclusionBased on the research results, it can be said that there is a statistically significant difference between the experimental and control groups in the scores obtained from training factors in the pretest and the experimental group. Furthermore, it can be said that there is a statistically significant difference between the experimental and control groups in the scores obtained from the enabling factors in the pre-test and the experimental group.


Author(s):  
Allan M. Lawrence ◽  
Peter J. Short ◽  
Deborah Millar

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.


Author(s):  
Simon Kang'ethe Ngigi ◽  
Elizabeth A. Obura

Online and blended instruction offers learners a unique opportunity to learn ubiquitously without being limited to the constraints of time and distance. Additionally, these pedagogies have the potential to open the doors of the university to a wider audience, provide choices for non-traditional students, and extend services to populations that would otherwise not be able to attend the classes on campus. However, complementing traditional teaching with blended learning techniques in a traditional university course presents various challenges. This chapter identify gaps in the factors affecting blended learning in the digital age. Based on the findings, the authors argue that instructors can rely on e-learning technologies to implement blended learning model by redesigning some lectures into new online learning activities, such as tutorials, self-testing exercises, and online group collaborations.


Sign in / Sign up

Export Citation Format

Share Document