Inspiration from Comparative Study of Distance-education Learning Support Services of China and UK

The theory and practice of OUUK learning support service has been widely praised, from the study of composition and dominantof OUUK learning support service system, and as Jiangyin Open Studying center, Wuxi, Jiangsu example, in-depth investigation and analysis ofthe present situation of China＇s distance-education learning support services, explore the reference value of the successful experience of OUUKand inspiration to the distance education in China.

A Culturally-Sensitive Model for CME Distance Learning Demonstratesa Way Forward： Kenya＇s Experience with ACME-IT （Advancing Continuing Medical Education Through Information Technology）

A distance learning Continuing Medical Education （CME） project based on live interactive presentations and a group participatory model demonstrated that important strides can be made in the quality of CME available to health care professionals in African rural settings. Implementers choose a communication model consistent with the fundamental orality of Kenyan and other sub-Saharan African countries. The project involved four hospitals and one training institution in rural Kenya. The testing of learners and focus group discussions with learners, facilitators and presenters indicated that the project＇s methodologies, that strove to be culturally and work place friendly, contributed to gains in knowledge, competencies including case management, the continuity of patient care, team work, staff morale and other issues of expressed importance to the hospital healthcare work force and hospital administrators. The learning system, known as Advancing Continuing Medical Education through Information Technology （ACME-IT）, was implemented by the Kenyan Ministry of Medical Services, EC Associates and the US-funded Aphia2 Western initiative implemented by PATH. The findings of this pilot suggests that the ACME-IT methodology that set up learning centers at the participating institutions is a promising viable alternative to the traditional and relatively expensive workshop training that characterizes much of CME in lower and middle income countries.

Research on Autonomous Learning in Translation Teaching for English Majors Based on Distance Education

The study is based on a new translation training model-a di-process-controlled training model to study the effects of autonomous learning in a distance translation classroom. The author carried out an empirical study by using the collected data from a one-year-long distance translation classroom of 318 learners, including qualitative analysis on questionnaires and a case study. The results shows that autonomous learning is effective to improve the transaction proficiency and enhance learners learning motivation of distance translation.

Peer-assisted learning to train high-school students to perform basic life-support

BACKGROUND: The inclusion of cardiopulmonary resuscitation(CPR) in formal education has been a useful approach to providing basic life support(BLS) services. However, because not all students have been able to learn directly from certified instructors, we studied the educational efficacy of the use of peer-assisted learning(PAL) to train high-school students to perform BLS services.METHODS: This study consisted of 187 high-school students: 68 participants served as a control group and received a 1-hour BLS training from a school nurse, and 119 were included in a PAL group and received a 1-hour CPR training from a PAL leader. Participants' BLS training was preceded by the completion of questionnaires regarding their background. Three months after the training, the participants were asked to respond to questionnaires about their willingness to perform CPR on bystander CPR and their retention of knowledge of BLS.RESULTS: We found no statistically significant difference between the control and PAL groups in their willingness to perform CPR on bystanders(control: 55.2%, PAL: 64.7%, P=0.202). The PAL group was not significantly different from the control group(control: 60.78±39.77, PAL: 61.76±17.80, P=0.848) in retention of knowledge about BLS services.CONCLUSION: In educating high school students about BLS, there was no significant difference between PAL and traditional education in increasing the willingness to provide CPR to bystanders or the ability to retain knowledge about BLS.

Efficient Stochastic Simulation Algorithm for Chemically Reacting Systems Based on Support Vector Regression

The stochastic simulation algorithm （SSA） accurately depicts spatially homogeneous wellstirred chemically reacting systems with small populations of chemical species and properly represents noise, but it is often abandoned when modeling larger systems because of its computational complexity. In this work, a twin support vector regression based stochastic simulations algorithm （TS^3A） is proposed by combining the twin support vector regression and SSA, the former is a well-known robust regression method in machine learning. Numerical results indicate that this proposed algorithm can be applied to a wide range of chemically reacting systems and obtain significant improvements on efficiency and accuracy with fewer simulating runs over the existing methods.

A New Framework for Scholarship Predictor Using a Machine Learning Approach

Education is the base of the survival and growth of any state,but due to resource scarcity,students,particularly at the university level,are forced into a difficult situation.Scholarships are the most significant financial aid mechanisms developed to overcome such obstacles and assist the students in continuing with their higher studies.In this study,the convoluted situation of scholarship eligibility criteria,including parental income,responsibilities,and academic achievements,is addressed.In an attempt to maximize the scholarship selection process,numerous machine learning algorithms,including Support Vector Machines,Neural Networks,K-Nearest Neighbors,and the C4.5 algorithm,were applied.The C4.5 algorithm,owing to its efficiency in the prediction of scholarship beneficiaries based on extraneous factors,was capable of predicting a phenomenal 95.62%of predictions using extensive data of a well-esteemed government sector university from Pakistan.This percentage is 4%and 15%better than the remainder of the methods tested,and it depicts the extent of the potential for the technique to enhance the scholarship selection process.The Decision Support Systems(DSS)would not only save the administrative cost but would also create a fair and transparent process in place.In a world where accessibility to education is the key,this research provides data-oriented consolidation to ensure that deserving students are helped and allowed to get the financial assistance that they need to reach higher studies and bridge the gap between the demands of the day and the institutions of intellect.

Study on Distance Learning Support Services Strategy Based on Effective Interaction

Achieving effective interaction can the students get good learning results,and enhance the quality of distance learning.The paper firstly analyzes the research on distance learning support services and the problems of distance learning interaction in order to clarify the significance of implementing effective interaction.Then it puts forward the learning support services strategies based on effective interaction,which means to promote distance learning interaction and enhance the students'self-learning ability.

A Feature Learning-Based Model for Analyzing Students’ Performance in Supportive Learning

Supportive learning plays a substantial role in providing a quality edu-cation system.The evaluation of students’performance impacts their deeper insight into the subject knowledge.Specifically,it is essential to maintain the baseline foundation for building a broader understanding of their careers.This research concentrates on establishing the students’knowledge relationship even in reduced samples.Here,Synthetic Minority Oversampling TEchnique(SMOTE)technique is used for pre-processing the missing value in the provided input dataset to enhance the prediction accuracy.When the initial processing is not done substantially,it leads to misleading prediction accuracy.This research concentrates on modelling an efficient classifier model to predict students’perfor-mance.Generally,the online available student dataset comprises a lesser amount of sample,and k-fold cross-validation is performed to balance the dataset.Then,the relationship among the students’performance(features)is measured using the auto-encoder.The stacked Long Short Term Memory(s-LSTM)is used to learn the previous feedback connection.The stacked model handles the provided data and the data sequence for understanding the long-term dependencies.The simula-tion is done in the MATLAB 2020a environment,and the proposed model shows a better trade-off than the existing approaches.Some evaluation metrics like pre-diction accuracy,sensitivity,specificity,AUROC,F1-score and recall are evalu-ated using the proposed model.The performance of the s?LSTM model is compared with existing approaches.The proposed model gives 89% accuracy,83% precision,86%recall,and 87%F-score.The proposed model outperforms the existing systems in terms of the earlier metrics.

Existing problems that TVU have on learning support service system

There are some existing problems that TVU have on learning support service system. By analyzing the status quo of TVU learning support system, we raise problems such as current quality of personnel, teaching resources, part-time teacher management, teaching facilities, campus culture and other issues.

The Effects of Augmented Reality on Students' Performance, Motivation and Cognitive Load in Distance Education

This study applies augmented reality(AR)to design an experiment to explore the academic performance,motivation and cognitive load level of students in distance education when leaning about communications engineering courses.The samples were 62 distance education students,consisting of 42 part-time adult students from a school of network education and 20 full-time students form a university,all of whom studied remotely in the experimental course.The results show that augmented reality can help distance education students improve their academic performance.As for learning motivation,the enhancement effect is not significant.The study also found that the use of AR did not increase students'cognitive load as long as the guidance was appropriate.

Learning Management System for Improved Service Delivery in Tertiary Institution

Learning Management System (LMS) provides educators, administrators and learners with a single robust, secure and integrated system to create personalized learning environments. This paper was motivated by the lag in technological evolution and traditional learning system in the Educational system in most of the Universities. Hence, a call for a change in the way service is delivered in our tertiary institutions. The work proposed the use of Moodle Learning Management System (LMS) as a tool to improve service delivery in tertiary institution. The methodology used was SSADM while the programming used was PHP, HTML, CSS and Ajax. MySQL was for the database design. The expected result was an e-learning site for Computer Science Imo State University Owerri, a platform that increases the possibility of interaction between students and lecturers.

The Application of E-learning and Distance Learning Technologies to Crew Education and Training in the Russian Federation

The article examines the world experience of e-learning as well as distance education technologies within the education process organization on higher and post-higher education programs.There have been listed the results of the most popular e-learning platforms analysis.Furthermore,there have been looked through the core legislative background of the development of the mentioned technologies in Russia and worldwide among the universities,specialized in seafarers training.There have been also drawn up the points of the Admiral Makarov State University of Maritime and Inland Shipping(Admiral Makarov SUMIS)design of the distance education system LMS"FARWATER"in compliance with the International Convention on Standards of Training,Certification and Watchkeeping for Seafarers(STCW Convention).The practical application of distance education system to the advanced professional training has been discussed in the article.

A Framework for Mobile Education System for Higher Institutions in Nigeria

With the advent of cloud computing technology, the development of mobile applications for use in several facets of life has been on the increase. This has been supported by the proliferation of mobile devices in the society which is also being used in utilizing the prowess of the cloud technology. Building a mobile education system that is platform independent is a major challenge since most of the popularly used ones are either software dependent or hardware dependent. In this work, a framework for mobile education system that is cross platform in nature with regard to operating system, hardware and web browsers using the 3-tier Client/Server mobile application architecture built on web standard was developed and fully tested. A first year computer science course offered by more than 1000 students was used as input to validate the framework. An integration of Short Message Services (SMS), virtual classroom and e-assessment components enable students and lecturers to communicate, create discussion forum and carry out e-testing using their mobile devices. This work is strongly recommended for higher institutions in Nigeria that need to explore the use of mobile devices that are available with the majority of students. Only registered users can access the developed app via the use of handheld devices (smart-phones & tablets). This can actually improve learning, research and collaboration between students and lecturers thereby enhancing learning experience.

Study on the Strategies of Distance Learning Support Services Based on Effective Interaction

The paper firstly analyzes the problems of distance learning interaction in order to clarify the significance of implementing effective interaction.Then it puts forward the learning support services strategies based on effective interaction,which means to design strategies from the perspective of effective interaction to improve the effect of distance learning.

澳大利亚远程教育研究30年里程——基于《Distance Education》杂志的视角

本文以澳大利亚《远程教育》杂志的创刊主编和前任主编伊安.米歇尔(Ian McD Mitchell)[1]等人对杂志创刊30周年历史回顾为基础,展现了杂志创办的历史,同时以杂志自身的发展为主线,间接勾勒了澳大利亚远程教育学术研究历史的主要图景。既充分展示了澳大利亚《远程教育》杂志发展历程,又从侧面揭示了专业、协会、杂志、学术会议这几者之间是如何良性互动推动远程教育事业发展的,而刊物创办人那种富有魄力、踏实进取的精神也会激发每一个热爱远程教育事业的同路人。

Distance education and correspondence course in India A report on a visit to Kurukshetra University Devi Ahilya and Kota Open University

with the introduction of the different operating management between distance and correspondence course in Kurukshetra University, Devi Ahilya University and Kota University in India, the author show us that this paper will enhance our knowledge about Indian adult education in which we can use for reference.

Is Distance Education the Answer to the Nursing Shortage?

This study examined the effectiveness of distance education compared with campus based learning among nursing students. Distance education in nursing curricula is increasing. Academic nurse leaders must demonstrate the effectiveness of distance learning. This study is unique in that two cohorts, distance learners and campus learners, were taught synchronously by the same faculty member. Quantitative measures of student learning outcomes were compared using SPSS. There were no significant differences in learning outcomes between distance learners and campus learners. This study provides empiric support for distance education as a means to address the nursing shortage.

Metric Learning with Relative Distance Constraints:A Modified SVM Approach

Distance metric learning plays an important role in many machine learning tasks. In this paper, we propose a method for learning a Mahanalobis distance metric. By formulating the metric learning problem with relative distance constraints, we suggest a Relative Distance Constrained Metric Learning (RDCML) model which can be easily implemented and effectively solved by a modified support vector machine (SVM) approach. Experimental results on UCI datasets and handwritten digits datasets show that RDCML achieves better or comparable classification accuracy when compared with the state-of-the-art metric learning methods.