Online Teaching Platform Research Articles

Research on the online open course of ancient literature in the “Internet+” era

This paper firstly introduced the traditional classroom teaching mode, proposed the massive open online courses (MOOC) online teaching platform, and combined it with the traditional teaching mode for the teaching of ancient literature course. In case study, 200 students from Ningbo University of Finance and Economics were divided into a control class and an experimental class. The control class was taught by the traditional mode, while the experimental class was taught by the new mode combining traditional with MOOC. The final results showed that there was little difference in the grade distributions of the control and experimental classes before the respective instruction (the P value greater than 0.05); after the instruction the students’ ancient literature grades in the experimental class improved significantly (the P value less than 0.05), while the control class almost had no change (the P value greater than 0.05). The gap in the ancient literature grade between the control and experimental class students was significant (the P value less than 0.05).

Simulation of distributed network elements in CAS MAXIMA and server online calculations in the educational process

Pressure pipelines are an important part of the water management infrastructure. Water supply networks pump the liquid to the consumer with the help of pumps (or supply it from a water tower) to specified points. The functioning of the entire urban infrastructure depends on the correct calculation and reliable operation of these areas. This paper shows the implementation of a computer calculation of one of the branched network options using numerical methods in the CAS MAXIMA computer algebra system, its graphic subsystem of symbolic mathematics, and the use of the author's online calculation program with a client-server implementation - https://www.k123.org.ua/jgIHjob1.html .
 The implementation of elements of computer calculations in the educational process allows the generation of an unlimited number of individual variants of initial data. The implementation of computer calculation requires the availability of automatic online generation of answers for each stage of iterative calculations. The task of generating online answers is the basis of the program development.
 An educational online platform is offered for researching the optimality of numerical, graphic and audio formats for setting the problem. The formats of the web form for entering output data have been studied. Online calculations reduce the time spent on typical monotonous operations. Additional possibilities of instant online calculations and visual graphic visualization of calculation results expand the possibilities of modeling individual elements of a branched network.
 The online program allows you to use computer calculations, expand the culture of using applied mathematical methods for engineering calculations, introduce algorithms and data structures, and solve the main task of training future engineers - to ensure a modern level of education and readiness to solve new problems.

Research on Online Teaching Method of University Systems based on Artificial Intelligence

Online teaching plays an important role in modern education, and online teaching platforms have gradually become an important direction for the modernization of university education. Limited by technical factors, traditional online teaching platforms have problems such as small user capacity, poor carrying capacity, and poor stability. Therefore, to meet students’ diversified online learning needs, in this paper, a new online teaching platform is designed based on artificial intelligence technology, and it can carry more concurrent users and meet the teaching needs of colleges and universities to the greatest extent in the online learning environment where there are many students.

Immediate and long-term impact of the COVID-19 pandemic on South African higher education

The COVID-19 pandemic has impacted the higher education sector significantly. It forced the stakeholders to do new things and brought many innovations to educational activities. As the pandemic hit the shores of many countries, among other things and sectors, education activities were disrupted. Many, not well-advanced universities in terms of technology and learning management systems (LMS) embarked on a forced recess, using the period to put online education platforms in place. The advanced universities immediately migrated contact teaching and learning to online platforms. This paper aimed to investigate the immediate effects that the pandemic has on South Africa’s higher education systems in terms of how both lecturers and students were made to use new technologies/tools, how the tools enhanced teaching and learning, how assessments transformed due to the pandemic, and if some of the interventions employed during the pandemic will find usefulness when the pandemic has finally retreated. In this study, universities that are offering engineering degrees in South Africa are used as a case study, and data were obtained from both engineering students and engineering lecturers at these universities through qualitative (survey with open-ended questions) together with quantitative (surveys with closed-ended questions) research methods. The study shows that higher education activities cannot go back to the way they were before the pandemic. The study brings to light that some old techniques will be combined with some innovations employed during the pandemic to ensure effectiveness and greater throughputs in the higher education systems going forward.
 Received: 2 December 2021Accepted: 1 August 2023

The Acoustics Knowledge Alliance project: the most recent addition to the Acoustic Courseware online educational platform

The explanation of principles in acoustics can benefit from the use of easily accessible materials enhanced with interactive content and capable of providing feedback from the users. This idea led to the development of the Acoustics Courseware (ACOUCOU) platform, an online open-access interactive platform that contains educational materials on acoustics. At this time, it consists of three different courseware: a multibook Acoustics in Architecture, the Acoustic Course for Engineers (ACE) with the focus on machinery, automotive and rail industry, and the Acoustic Course for Industry (ACI) focused on environmental and industrial noise, its impact on human health and the ways it can be managed. The latest addition will be the courseware developed in the frame of the Acoustic Knowledge Alliance project (ASKnow), which is now in its final stages of implementation. The courseware cover five fields: acoustic fundamentals, psychoacoustics, acoustic simulation and auralization, electroacoustics, and room and building acoustics. Each field is covered with thirty lessons and two practical cases. The aim of this paper is to present the current content available on the ACOUCOU platform, but also the implementation and the most recent results of the ASKnow project. ASKnow is funded by the Knowledge Alliance program of the EU.

Development of BlockScholar as an Educational Mobile Application on Blockchain Technology

In the ever-evolving landscape of technology, blockchain emerges as a transformative force, reshaping digital transactions and decentralized systems. This revolutionary technology, initially synonymous with cryptocurrency, has transcended its roots, becoming a pivotal element in industries spanning finance, supply chain management, healthcare, and more. However, understanding blockchain's intricacies can be daunting, especially for newcomers. This project addresses the need for an accessible and engaging platform to introduce individuals to blockchain technology. Traditional educational resources like textbooks have lost their appeal in today's digital era, leaving learners seeking interactive and mobile-friendly alternatives. While online educational platforms like Udemy and Coursera offer diverse courses, they often lack the immediacy and interactivity that modern learners crave. In the mobile landscape, a noticeable gap exists in educational apps dedicated to blockchain technology. Existing options tend to focus on cryptocurrency, falling short in delivering immersive learning experiences. This project aims to bridge this gap by developing an educational mobile app centered on blockchain technology. The app's primary objective is to offer an interactive and engaging environment for users to explore blockchain's fundamentals, applications, and advantages in a user-friendly manner. By harnessing the ubiquity and convenience of mobile devices, our project seeks to empower learners to delve into the world of blockchain technology. In doing so, we aspire to foster a more informed and tech-savvy community, equipped to comprehend the far-reaching implications of blockchain on various industries. In summary, this project endeavors to unlock the potential of blockchain technology to revolutionize education by creating a mobile app that facilitates the exploration of this transformative field. Through interactive learning experiences and accessible content, we aim to empower individuals to grasp the significance of blockchain and contribute to a more knowledgeable and technologically adept society.

Design and Implementation of Experiment Online Teaching Platform for Oil and Gas Storage and Transportation Based on WeChat Mini-Program

With the emergence of “Internet + higher education,” online teaching platforms have become increasingly important, particularly for practical teaching courses. The study of oil and gas storage and transportation is a fundamental and essential course for students in this major. In light of the issues related to limited space, lack of openness, and low student enthusiasm for traditional experimental teaching methods, an online experimental teaching platform for oil and gas storage and transportation was developed. This platform is based on the WeChat mini-program and follows the principles of cross-platform computability, user friendliness, and low investment. Its aim is to explore effective learning models for mobile devices. This study compares and analyzes the differences in classroom effects before and after the implementation of the WeChat learning platform. The study examines the design of the platform, teaching session cases, and the analysis of application effects. The research utilizes questionnaires and statistical data as research methods. The results indicate that the WeChat online teaching platform has significantly improved the enthusiasm and learning outcomes of students in the independent learning of experimental courses. It has received high recognition from both teachers and students and has greatly enhanced the quality of teaching. This has considerable potential for further promotion.

Internet analytics of an innovative digital educational resource of type 1 diabetes HelloType1 in local languages for people living with diabetes families and healthcare professionals in Southeast Asia

BackgroundThere is minimal data of health outcomes for Type 1 Diabetes (T1D) in Southeast Asia (SEA) where government funding of insulin and blood glucose monitoring either do not exist or is limited. The full impact of Covid-19 pandemic on the national economies of SEA remain unknown. In the midst of the pandemic, in 2021, HelloType1 was developed by Action4Diabetes (A4D), a non-government organisation charity in collaboration with Southeast Asia local healthcare professionals as an innovative digital educational resource platform of T1D in local languages. HelloType1 was launched in Cambodia, Vietnam, Thailand and Malaysia in 2021 to 2022 with Memorandums of Understandings (MOUs) signed between A4D and each country. Internet data analytics were undertaken between the 1st of January 2022 to 31st of December 2022.AimsThe aims of this study were to explore the usability and internet data analytics of the HelloType1 online educational platform within each country.MethodsThe data analytics were extracted Google analytics that tracks data from the website hellotype1.com and Facebook analytics associated with the website.ResultsThere was a 147% increase in the number of HelloType1 users between the first 6 months versus the latter 6 months in 2022 and a 15% increase in the number of pages visited were noted. The majority of traffic source were coming from organic searches with a significant increase of 80% growth in 2022.ConclusionsThe results of the analytics provide important insights on how an innovative diabetes digital educational resource in local languages may be optimally delivered in low-middle income countries with limited resources.

Work–life balance of teachers–tutors

The article focuses on the work–life balance of teachers who are somehow connected with tutoring. Achieving work–life balance is problematic for them because of increased requirements for their professionalism. The combinations of the parameters of “work” and “life” in the career path of the teacher, which are the most successful in terms of self-assessment of workload and well-being, are revealed. The influence of socio-demographic characteristics of teachers on the chances of being satisfied with the work schedule is considered. The study is based on the results of an online survey of educators conducted in February 2022. The sample consists of teachers and tutors that are using online educational platforms and marketplaces to find the main and additional job. Only higher workload at school statistically significantly increases dissatisfaction with the work schedule. This may be due to low incomes of teachers. At the same time, there are differences in satisfaction with the work schedule among men and women

Application of a Network Teaching Platform in English Classroom Teaching

The online teaching platform based on the online teaching system on the internet has been widely used in the English education industry. Language education researchers, English teachers, and educational technology professionals are interested in exploring the potential of online teaching platforms in language education. This article explores the impact of the teaching platform based on MOOC on English classroom teaching. By comparing the teaching effects of using MOOC teaching platform and traditional teaching methods, this article analyzes the impact of online teaching platform on English classroom teaching and provides theoretical data support to promote the application of online teaching platform in English classroom teaching. The research results show that compared with traditional teaching methods, the flipped classroom teaching model using the MOOC teaching platform achieves optimization of the learning process and teaching effectiveness and improves attitudes, interests, strategies, and cooperation in English learning.

Reinforcement Learning Technology Applied to the Innovative Model of Informatisation of Classroom Teaching in Educational Economics

Abstract This paper constructs the architecture of the online teaching platform for education economics based on the MVC pattern coupled with three-tier architecture. The optimal value function is solved through the experience playback mechanism and the strategy function of reinforcement learning, and the value function is used to realize the update of the deep Q learning parameters, which is used to realize the guided teaching of students in the platform. A test analysis was conducted to verify the effectiveness of using the online teaching platform for education economics courses. The results show that the waiting time for teaching resource requests in the 0-3s range of this paper’s platform is 29.71% and 51.56% lower than that of the B/C and Web platforms, respectively. The mean value of students’ learning attitude toward the platform was 108.558, and the highest satisfaction score was 0.7088. The online teaching platform can effectively improve students' learning attitude and promote the innovation of information technology in education economics classroom teaching.

Innovation of educational management paths in higher education based on LSTM deep learning model

Abstract In this paper, based on the data of the Riiid education platform, the LSTM deep learning model is used to provide accurate prediction and guidance for the education management of colleges and universities. The Gini coefficient is also introduced to simplify the calculation process, focusing on predicting the development of students’ careers. To achieve this goal, the online education platform provided a dataset that was carefully pre-processed and cleaned of data, and feature engineering was performed to obtain more informative features. Comparing the AUC value of the offline area of the ROC curve, the AUC value of the LSTM deep learning model can reach 0.758, and the training time of a single model is about 41.8 seconds. Therefore, a deep learning model based on the LSTM algorithm can be used for innovation research.

KRT高阶动态双向教学模式及其在《卫生法学》中的应用

This article explores, summarizes and inducts the KRT advanced dynamic bidirectional teaching mode and its application in “Health Law”. The research shows that this new teaching mode, which integrates advanced teaching, dynamic teaching and bidirectional teaching, has significant advantages in cultivating students' advanced thinking ability, promoting self-directed learning, updating teaching content and improving learning interest. However, there are also some areas that need improvement, such as optimizing the operation interface of online teaching platforms and tools, balancing the depth and breadth of teaching content to meet the needs of students in different majors. Further optimizing and perfecting the KRT teaching mode is of great significance and value for cultivating students' advanced thinking ability and practical ability in the field of health law.

Exploring the Path of College Students' Participation in Education Poverty Alleviation under the Background of "Internet+": Taking "A Class in Childhood" as an Example

Since the 19th National Congress of the Party, China has been paying more attention to education as well as emphasizing education equity. In order to respond to the national call, the traditional offline teaching mode is combined with the Internet to build an Internet+ education poverty alleviation model with university students as the main teachers, online teaching as the main focus, and offline field research as the supplement. This paper takes the online teaching platform A Class in Childhood as an example and explores the path of college students participation in education poverty alleviation. In summary, the platform is committed to using the sufficient, professional, and high-quality educational resources and teachers power of universities to alleviate poverty in education and culture for elementary schools in remote and poor areas. Meanwhile, the platform has alleviated the contradiction between the educational resources in rural areas and urban areas, helped the psychological health development of local children, and brought new inspiration to the way of education poverty alleviation in poor areas.

Online Education Platform for Chinese Language Abroad Based on Remote Recognition System and Machine Learning

Abstract The remote video transmission system and machine learning are this paper’s first areas of analysis. Secondly, the remote recognition system’s image processing and content-based image retrieval are analyzed algorithmically, including image filtering, morphological processing, and canny edge extraction. The Chinese Bon platform dataset is the platform chosen for this research. The analysis of learners’ learning behavior and grade prediction is conducted based on the Chinese Bon platform dataset’s four categories: basic course information, basic learner profile, learning behavior record and learning effect. A prediction model was established for grades based on the feature variables, and its model accuracy reached 60.83%, while the accuracy of the model obtained based on the remote recognition system and machine learning algorithm was 73.35%.

The application of tennis teaching in computer network environment

Abstract In this paper, students' implicit learning characteristics parameters are first transformed using BP neural network. Then the parameter weights are corrected using the activation function and normalized to obtain explicit data characteristics. Finally, a tennis online teaching platform is constructed by measuring the correlation between learning behavior data through the K-mean clustering algorithm and extracting the learning behavior regularity coefficients accurately using time series. The findings revealed that the platform had an average pass rate of 78.6% for students, and the average learning time was 6.5 hours. The teaching quality of tennis can be effectively improved in the computer network environment.

Topic modeling and clustering in the trace data-driven analysis of job demands among teachers

Psychosocial work environment characteristics like job demands have traditionally been studied using survey data. We propose an alternative approach utilizing work related trace data collected from the information systems that employees use to achieve organizational goals. We analyze the job demands of teachers from two universities of applied sciences using trace data collected from the educational online platform Moodle over a period of 90 weeks. The data contain pairs of targets and actions (like message_sent) performed by teachers on Moodle. The timestamps of the target-action pairs allow us to study the dynamic nature of job demands, which is not possible by using periodically collected survey data. We show how trace data can be used to analyze processes related to job demands using data-driven approaches. We have identified topics, themes, temporal processes, and employee clusters from Moodle data representing the work tasks of teachers. The information obtained is action-oriented, context-specific, and dynamic, meeting the current needs for information about changing working life. The approach we have provided could be widely utilized in organizations as well as in research on occupational wellbeing. It is useful in identifying targets for intervention and it could be expanded to include prediction models on different outcomes.

User satisfaction evaluation of an educational distance-learning platform with MUSA methodology

The purpose of this study was to provide an exhaustive analysis of user satisfaction regarding Moodle, an online educational platform, employing an innovative approach through Multicriteria Satisfaction Analysis (MUSA). Contrary to the traditional methods of assessing parameters like Ease of Use and Effectiveness, our study considered unique criteria including Technical Dimension, Possibilities of Teachers/Participants, Pedagogical Dimension, and Automated Functions. The distinctiveness of our approach was amplified by the application of MUSA for criteria weight selection, deviating from the conventional Pairwise Comparison methodology and its reliance on extensive questionnaire administration. Our methodology encompassed the distribution of online questionnaires via Google Forms to a sample of 100 participants from Greece, focusing on the bespoke criteria to derive a holistic perspective of user satisfaction. The MUSA algorithm was instrumental in not only delineating the analytical satisfaction evaluation but also in formulating a structured improvement action plan for the educational platform. A noticeable variance in criteria weight selection was observed when juxtaposing the MUSA algorithm and the traditional Pairwise Comparison methodology, underscoring the precision and reliability of our approach. The findings emanating from the application of MUSA underscore its potential as a pivotal tool in enhancing the quality and user satisfaction of educational platforms. Practical implications of the study are profound for software developers and educational institutions alike. The integration of MUSA into the design and evaluation process of educational software promises a pathway to incessant refinement, aligning with the dynamic needs of educators and learners, thereby elevating the educational experience to unprecedented heights.

Emergency remote assessment practices in higher education in sub-Saharan Africa during COVID-19

Following the disruptions to in-person schooling during COVID-19 and the need for emergency remote teaching, this study explored the assessment experiences of teacher educators in Ghana. Through a qualitative transcendental phenomenological approach, purposive criterion sampling was used to select 25 teacher educators from 15 teacher training institutions in Ghana who participated in online teaching during COVID-19 school closure. The findings show that teacher-centered approaches to assessment dominate emergency remote assessment practices of teacher educators. Hodgepodge grading and general feedback were more prevalent during remote assessment. Teachers were also found to randomly select a few students to provide individualized feedback due to the large class size. Challenges including limited knowledge of the use of the online teaching platform for assessment, inadequate professional training and access to technological resources, and concerns about academic dishonesty were reported. However, teachers reported that their involvement in abrupt remote teaching and assessment has been a learning opportunity for them to develop new skills, which is imperative for their professional development.

Roadblocks in education amidst global crisis-A study based in India.

The outbreak of the COVID-19 pandemic compelled the closure of educational institutions and forced students to complete nearly two years of schooling online, impacting their physical and emotional development tremendously. This exploratory study investigates the wide-ranging impact of online education on Indian students during the COVID-19 pandemic and discusses the challenges exacerbated by disparities in access to digital devices and reliable internet service. The paper also focuses on the physical and mental health issues that arose in student cohorts as a result of the abrupt shift to online learning, and investigates the relationship between students' socioeconomic status and the nature and frequency of health issues experienced by them. A total of 832 respondents completed a 40-item survey that was administered online and through interviews. The paper analysed the impact of access to digital resources and teachers' training in information and communication technology on the perception of the quality of education provided by the institutions. We further analysed the impact of the adoption of online educational platforms on students' mental and physical health. The study found a positive relationship between the number of hours spent online, and the physical and mental health issues experienced by students. Participants reported an overall higher perception of stress and anxiety, loss of concentration, and dissatisfaction with the quality of education. Our data suggest that COVID-19 has exacerbated the digital divide. Urgent investments are needed to provide universal access to reliable internet services, and to develop a pedagogy that supports an agile and adaptable educational system, capable of providing effective learning and evaluation, while supporting students' physical and mental health.