An Analysis on E-Learning and Its Recommendations

2021 ◽  
pp. 166-187
Author(s):  
Lalitha T. B. ◽  
Sreeja P. S.
Keyword(s):  
Personal Growth ◽  
Recommendation System ◽  
Professional Competence ◽  
Holistic Approach ◽  
Global Village ◽  
Approach To Learning ◽  
E Learning ◽  
Minimal Effort ◽  
The Web

Education provides a predominant source of worldly knowledge around us and changes the perspective of the living society as a global village. However, education has revealed fragmentary remains in the professional competence and personal growth of the learners without the involvement of online learning. E-learning brings out a broader vision of sources to the learners available over the web with the holistic approach to learning from anywhere without cost and minimal effort. The proposed theoretical framework analyses the long-term evolution of e-learning and its effect on mankind. The various methods, technologies, and approaches of e-learning that exist in various forms were discussed exponentially according to the range of necessities among the learners. The recommendation system plays a pivotal role in referring contents and enhancing the learning environment. The education promoted to the learners through the recommendations system over their personal preferences were explored here in detail.

Factors affecting students’ engagement with online content in blended learning

Kybernetes ◽  
2019 ◽  
Vol 48 (7) ◽  
pp. 1500-1515 ◽  
Author(s):  
Alka Dwivedi ◽  
Prasoom Dwivedi ◽  
Samo Bobek ◽  
Simona Sternad Zabukovšek
Keyword(s):  
Higher Education ◽  
Blended Learning ◽  
Holistic Approach ◽  
Strategic Decision ◽  
Online Content ◽  
Content Type ◽  
Factors Affecting ◽  
Approach To Learning ◽  
Face To Face ◽  
E Learning

PurposeIncreasing use of information and communication technology (ICT) in education has, along with other consequences, shifted the context from teacher-centric to student-centric. These changes pose fresh challenges to the prevalent education systems all over the world, which already have fallen short of the expectations. The purpose of this study is to show that e-learning is not only about ICT following a holistic approach to learning which embeds systemic approach and learning loops but also about students and teacher’s actions in ICT-enabled learning environment. This study investigates the importance of engagement of students and teachers in blended learning with a focus on factors which affect this engagement.Design/methodology/approachBased on systems theory and socio-technological approach to e-learning, the paper documents an experiment which was carried out in a higher education institution. Postgraduate students of one course were divided into two groups. Instructor of the first group was not required to engage with the online content and had to deliver his course in a traditional face-to-face format. Instructor of the second group continuously spent time on the learning management system (LMS), developing more content, participating in online discussions and responding to students. LMS tracked the online activity of both the instructors, and semi-structured interviews of students were conducted.FindingsBased on behaviour of 152 students of a postgraduate programme, students’ time spent online is directly proportional to the instructor’s online time, promptness of instructor’s response to online activities queries of students increased student engagement, the students’ engagement increases if the online content is related to the syllabus but engagement is not the same as the face-to-face lectures in the class.Research limitations/implicationsThe research was conducted in India and is based on the behaviour of instructors and students in India. It was focussed on engagement issues of blended learning, while other issues of blended learning have not been in the focus of the research.Practical implicationsThe research is important for the practice of higher education, and the result of the study can be taken into consideration while developing online courses for students enrolled in higher education.Social implicationsIf higher education institutions take a strategic decision to use ICT in e-learning, engagements of participants and factors affecting engagement are crucial for the better quality of education. In such a way, blended learning fulfils requirements of a holistic approach to learning.Originality/valueDespite the fact that e-learning as a way to deliver academic content has been extensively researched, there are not many studies focussed on engagement issues in blended learning, and even fewer studies have been conducted in an experimental way which allow in-depth research.

Discovering Learners' Characteristics Through Cluster Analysis for Recommendation of Courses in E-Learning Environment

2019 ◽  
Vol 15 (1) ◽  
pp. 42-66
Author(s):  
Bhupesh Rawat ◽  
Sanjay K. Dwivedi
Keyword(s):  
Cluster Analysis ◽  
Academic Performance ◽  
Learning Environment ◽  
Learning Process ◽  
Recommendation System ◽  
Learning Systems ◽  
Traditional Learning ◽  
Huge Number ◽  
E Learning ◽  
The Web

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of ‘e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various tasks based on their goals. However, most of these systems follow a ‘one size fits all' approach where same resources are offered to learners irrespective of their unique learning requirements. Therefore, personalization is required as a part of e-learning systems which offers resources to learners based on their profile. This research aims to perform cluster analyses in order to validate clusters created through a k-means algorithm. The clusters will be used to classify a new learner into its appropriate class and recommend relevant courses. Finally, the accuracy of the recommendation is evaluated using various evaluation metrics. The proposed recommendation system helps learners to improve their academic performance and hence overall learning process as well.

scholarly journals E-learning

2006 ◽  
pp. 17-22
Author(s):  
Paul Chin
Keyword(s):  
Higher Education ◽  
Electronic Books ◽  
Physical Sciences ◽  
Early Adopters ◽  
Approach To Learning ◽  
National Initiatives ◽  
E Learning ◽  
The Web ◽  
Anywhere Learning

E-learning as a term and its application in the support of learning has evolved considerably over the last ten or more years. This evolution comes from a noticeably different approach to learning by early adopters, as dictated by the technology of the time.In order to bring the reader up to date with the role and use of e-learning and its associated technologies this article will review the meaning of e-learning as it evolved from little more than reading electronic books to today's concept of 'anytime anywhere' learning supported by the Web. It will attempt to clarify some of the confusing terminology surrounding e-learning and provide a basic introduction to some types of technology used to support learning. In addition some examples of the use of e-learning within the physical sciences will also be reviewed along with some pointers to current publications and national initiatives for up to date information about how e-learning is being used in higher education.

scholarly journals Text Based Restaurant Recommendation System using End-To-End Memory Network

2020 ◽  
Vol 9 (3) ◽  
pp. 41-45
Keyword(s):  
Recommendation System ◽  
Online Shopping ◽  
Recommendation Systems ◽  
User Needs ◽  
Textual Data ◽  
Memory Network ◽  
End To End ◽  
Network Mechanism ◽  
The Web

With growing use of online content streaming websites, online shopping, and other exclusively online services, it becomes more and more imperative for technology companies to invest a lot of funds into a system to gauge user needs and requirements. To bridge this gap, there has been an influx of recommendation systems in the markets. From advertisements, to movies, and products we buy, recommendation engines are feeding on new data everyday to learn user trends. This paper tries to focus on improving the text based recommendation systems that can be implemented to leverage the vast review data that can be found on websites. We suggest using a novel memory based end-to-end network mechanism to reduce the need for long term dependencies and to reduce the need for memory intensive systems. As we generate more and more reviews and textual data on the web everyday, we need to be able to use this data to make meaningful analytical and business predictions. With the ability to perform multiple lookups, implement attention mechanism and back-propogation, this system was found to perform much better when compared to CNN, RNN and LSTM alternatives in our testing.

Defining the Competence of Psychologists with a View to Public Accountability *

1997 ◽  
Vol 2 (4) ◽  
pp. 293-300 ◽  
Author(s):  
Ype H. Poortinga ◽  
Ingrid Lunt
Keyword(s):  
Scientific Knowledge ◽  
Professional Training ◽  
Professional Competence ◽  
Codes Of Ethics ◽  
The Body ◽  
The European Union ◽  
Rigorous Evaluation ◽  
Judicial Proceedings ◽  
Psychological Knowledge

In national codes of ethics the practice of psychology is presented as rooted in scientific knowledge, professional skills, and experience. However, it is not self-evident that the body of scientific knowledge in psychology provides an adequate basis for current professional practice. Professional training and experience are seen as necessary for the application of psychological knowledge, but they appear insufficient to defend the soundness of one's practices when challenged in judicial proceedings of a kind that may be faced by psychologists in the European Union in the not too distant future. In seeking to define the basis for the professional competence of psychologists, this article recommends taking a position of modesty concerning the scope and effectiveness of psychological interventions. In many circumstances, psychologists can only provide partial advice, narrowing down the range of possible courses of action more by eliminating unpromising ones than by pointing out the most correct or most favorable one. By emphasizing rigorous evaluation, the profession should gain in accountability and, in the long term, in respectability.

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Problems of Distance Education

2018 ◽  
Vol 7 (1) ◽  
pp. 14-23 ◽  
Author(s):  
Rostislav Fojtík
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Computer Science ◽  
Full Time ◽  
Advantages And Disadvantages ◽  
E Learning ◽  
Educational Requirements

Abstract Distance learning and e-learning have significantly developed in recent years. It is also due to changing educational requirements, especially for adults. The article aims to show the advantages and disadvantages of distance learning. Examples of the 20-year use of the distance learning form of computer science describe the difficulties associated with the implementation and implementation of this form of teaching. The results of students in the full-time and distance form of teaching in the bachelor’s study of computer science are compared. Long-term findings show that distant students have significantly lower scores in the first years of study than full-time bachelor students. In the following years of study, the differences diminish, and students’ results are comparable. The article describes the possibilities of improving the quality of distance learning.

scholarly journals Development and evaluation of the Good Grief program for young people bereaved by familial cancer

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Pandora Patterson ◽  
Fiona E. J. McDonald ◽  
Elizabeth Kelly-Dalgety ◽  
Bianca Lavorgna ◽  
Barbara L. Jones ◽  
...  
Keyword(s):  
Social Support ◽  
Personal Growth ◽  
Unmet Needs ◽  
Meaning Making ◽  
Familial Cancer ◽  
Psychosocial Needs ◽  
Program Satisfaction ◽  
Death Of A Parent

Abstract Background Adolescents and young adults (AYAs) bereaved by the death of a parent or sibling from cancer report unique psychosocial needs and can have difficulty adjusting to their loss. Unaddressed, this can result in poor long-term bereavement outcomes. This paper describes the development and evaluation of Good Grief – a 3-day camp-based program focused on meeting coping, social support, and respite needs of AYAs bereaved by familial cancer. Methods One hundred and nine Australian AYAs (68% female; age: 12–25 years, M = 16.63) participated in the evaluation. Grief intensity (Texas Revised Inventory of Grief), meaning-making (Grief and Meaning Reconstruction Inventory), trauma coping (Perceived Ability to Cope with Trauma Scale) and unmet needs (Bereaved Cancer Needs Instrument) measures were administered pre-program and 3-months post-program. Acceptability was measured after each session and at the program’s conclusion. Appropriateness was measured at 3-month follow-up. Thirteen participants were interviewed three months post-program on their perceptions of the program. Results Participants reported high program satisfaction, engagement with psychosocial sessions, and enjoyment of recreational activities. Significant improvements were observed in trauma coping abilities and reductions in unmet needs for managing emotions, social support, respite, future planning, and accessing information and support domains. No change was evident in grief intensity or meaning-making as measured quantitatively. Interviews supported these quantitative findings but also identified evidence of personal growth, a component of meaning-making. Conclusions Good Grief is a highly acceptable and beneficial intervention that addresses the unique needs of AYAs bereaved by familial cancer.

scholarly journals Students’ long-term orientation role in e-learning success: A Brazilian study

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05735
Author(s):  
Wilmar Cidral ◽  
Manuela Aparicio ◽  
Tiago Oliveira
Keyword(s):  
Learning Success ◽  
E Learning

scholarly journals COVID-19 Response in Thailand and Its Implications on Future Preparedness

2021 ◽  
Vol 18 (3) ◽  
pp. 1089
Author(s):  
Wijitbusaba Marome ◽  
Rajib Shaw
Keyword(s):  
Early Stage ◽  
Health Resources ◽  
Holistic Approach ◽  
Disaster Risk ◽  
Community Level ◽  
Multilateral Cooperation ◽  
First Case ◽  
Multiple Dimensions ◽  
Economic And Social Impacts

Thailand has been affected by COVID-19, like other countries in the Asian region at an early stage, and the first case was reported as early as mid-January 2020. Thailand’s response to the COVID-19 pandemic has been guided by the “Integrated Plan for Multilateral Cooperation for Safety and Mitigation of COVID-19”. This paper analyses the health resources in the country and focuses on the response through community-level public health system and legislative measures. The paper draws some lessons on future preparedness, especially with respect to the four priorities of Sendai Framework for Disaster Risk Reduction. At the end, the paper puts some key learning for future preparedness. While Thailand’s response to COVID-19 has been effective in limiting the spread of the disease, it falls short at being able to address the multiple dimensions of the crisis such as the economic and social impacts. The socioeconomic sectors have been hardest hit, with significant impact on tourism sectors. Sociopolitical system also plays an important role in governance and decision-making for pandemic responses. The analysis suggests that one opportunity for enhancing resilience in Thailand is to strive for more multilevel governance that engages with various stakeholders and to support grassroots and community-level networks. The COVID-19 pandemic recovery is a chance to recover better while leaving no one behind. An inclusive long-term recovery plan for the various impacted countries needs to take a holistic approach to address existing gaps and work towards a sustainable society. Furthering the Health Emergency Disaster Risk Management (HEDRM) Framework may support a coordinated response across various linked sectors rather than straining one particular sector.

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