Quality Of Online Education Research Articles

Evaluasi Kualitas Portal E-lerning Universitas Mahakarya Asia Menggunakan Metode MCCALL

This research focuses on evaluating the quality of the e-learning system at Universitas Mahakarya Asia using the McCall Method. The study aims to provide insights into the performance of the online learning platform e-learning.unmaha.ac.id. Involving criteria such as correctness, reliability, efficiency, integrity, usability, and maintainability, the research yields an overall score of 79.6%. The evaluation results indicate high reliability and integrity but highlight areas for improvement in the correctness of information and ease of maintenance. Improvement recommendations are provided to enhance content accuracy and improve the user interface for a smoother experience. Special emphasis is given to improving maintainability for the sustainability of the platform. These findings lay the foundation for developing a more user-responsive e-learning system, reinforcing the role of Mahakarya Asia University in providing quality online education

Factors Affecting Online Teaching and Learning among Chinese High School Students: Education Equality Perspectives

Online learning is significant to promote education equality in high school sector. This research aims to explore the factors affecting students' acceptance of online learning, construct a structural equation model of high school students' online learning behavior, and propose measures to promote educational equity. The study employed quantitative research methods, utilizing online questionnaires to gather 633 data from high school students in Dazhou, Bazhong, and Liangshan regions. A comprehensive approach to data analysis was adopted, including descriptive statistical analysis, reliability and validity tests, confirmatory factor analysis, structural equation modeling, and path analysis. Key findings revealed the significant influence of online teaching quality and course content on students' perceived usefulness, ease of use, subjective norms, attitudes towards online learning, and their subsequent learning intentions and behaviors. The study confirmed the mediating roles of these perceptions and attitudes in shaping students' engagement with online learning platforms. In conclusion, the research provides vital insights into the dynamics of online education in a high school setting. It highlights the need for enhanced teaching quality and course design to improve online learning experiences. The findings offer valuable implications for educators, policymakers, technology developers, and other stakeholders, emphasizing the importance of a collaborative approach to create more effective and equitable online learning environments. This study lays a foundation for future research and strategies aimed at optimizing the potential of online education, ensuring it is accessible and beneficial to all students.

“互联网+教育”背景下国际汉语线上教学质量改进研究

Under the background of “Internet plus Education”, online teaching has developed rapidly. The advantages of the Internet and the increasing demand for the promotion of international Chinese have made online teaching mode of international Chinese a long-term existence. Over the past three years, we have explored and practiced the online teaching model of international Chinese, constantly exposing difficulties and problems in aspects such as network and technology, teaching management, classroom interaction, and teaching effectiveness. The causes are that the teaching design failed to adjust based on the characteristics of online teaching, the interaction between teachers and students in the classroom did not develop well, and the online teaching resources were not effectively utilized. Teachers should take actions from teaching design, classroom interaction, online teaching resources, teaching methods and other aspects to improve the quality of international Chinese online teaching.

Factors influencing students’ learning satisfaction and students’ learning outcomes in blended learning

In China, there is a thriving trend of utilizing a unique form of blended learning that combines MOOCs (massive open online courses) and SPOC (Small Private Online Course). However, the evaluation methods used for these blended learning courses have not been adequately developed. The objective and accurate evaluation of blended learning poses a challenge. Therefore, it is imperative to conduct a preliminary study to examine the relationships between various factors, such as the quality of the teaching environment, the quality of teachers' offline teaching, the quality of teachers' online teaching, and their impacts on students' learning satisfaction and learning outcomes in a blended learning setting. This study aims to analyze the factors in blended learning by employing structural equation modeling and interviews with 275 students. The findings of this research contribute to the advancement of student learning evaluation in blended learning by incorporating the evaluation of the teaching environment, the quality of teachers' online teaching, the quality of teachers' offline teaching, student satisfaction, and students' learning outcomes. Furthermore, this study offers a comprehensive analysis of the influence of the teaching environment on the aforementioned factors in blended learning, thereby providing a rationale and robust empirical evidence for the Chinese government's sustained investment in information technology infrastructure in higher education.

The influence of selected factors on perceived enjoyment of the online learning experience: lessons for post-COVID-19 classrooms

IntroductionSince digital transformation has become a priority in the higher education landscape, it is unlikely that higher education institutions will return to traditional face-to-face teaching and learning. Many higher education institutions have adopted a hybrid approach to teaching and learning in a post-Covid-19 setting. This unplanned forced change has raised concerns about the quality of online teaching and learning, as well as issues related to the student experience thereof. Therefore, it is necessary to consider possible factors that may influence students’ perceived enjoyment of the online teaching and learning experience. To date, very few studies have considered the antecedents of perceived enjoyment of online teaching and learning. The purpose of this paper was to determine the influence of selected factors of online teaching and learning on the perceived enjoyment of students.MethodsQuantitative data was collected, and the final sample consisted of 501 students enrolled at higher education institutions.ResultsThe findings showed that cognitive benefits, perceived usefulness and perceived ease of use are statistically significantly correlated with students’ perceived enjoyment of the online learning experience.DiscussionThe current study contributes to existing knowledge regarding the intention of continued use of online teaching and learning. The findings of this study are also practically relevant for enhancing students’ online learning experiences in a post-Covid-19 setting.

Engaging and Retaining Students in Online Learning

Before the COVID-19 outbreak, universities were already exploring the potential of online education. Colleges and universities throughout the world became more reliant on online learning management systems (LMSs) and videoconferencing tools like ‘Zoom’ and ‘Microsoft Teams’ during the 2020-2021 campus’ lockdowns. The transition from traditional face-to-face teaching to online learning presented significant difficulties for universities, particularly those that depended heavily on international students. The project reported in this paper was undertaken in Australia in 2021 at the request of a private higher education institution. A new student-centric version of the Moodle learning management system (LMS) was created to maximise the platform’s pedagogical, communicative, and informational capabilities. The purpose of this article is to demonstrate how online learning platforms that are flexible, utilise embedded interactive features and resources, and are freely available can enhance and support the delivery of quality online education. The paper discusses how well-designed learning management systems have the capacity to motivate, engage and retain students in online learning. Academics, at both the undergraduate and graduate levels, as well as those working in curriculum development and information technology at institutions of higher learning, may find this article to be of interest and value. Keywords: online, Moodle, Learning Management System (LMS), pandemic

Improve the Quality of Online Teaching and Learning at Hung Vuong University on Technology Platform

In recent years, in order to innovate teaching methods and apply information technology to teaching, Hung Vuong University has applied an online teaching and learning model. However, this model has only been widely deployed to all sectors in the school when the nCov-19 epidemic broke out. This is a teaching method commonly applied in universities today. However, to be able to maximize the efficiency and quality of this model is not easy. This article proposes some solutions to improve the quality of online teaching and learning at Hung Vuong University.

Introduction to the inheritance and development of national music culture in the teaching of music education in colleges and universities in the Internet era

Abstract Ethnic music culture is a rare and precious artistic treasure in all national cultures, and the inheritance and promotion of ethnic music culture is an essential part of music education teaching in colleges and universities. This paper delves into the characteristics of the development and dissemination of ethnic music culture in the Internet era, with the aim of studying the integration of ethnic music culture into music education teaching in colleges and universities through the use of Internet technology. Through the collaborative filtering algorithm, students’ preferences for ethnic music works are mined so as to recommend accurate teaching resources for college students on the ethnic music online teaching platform constructed based on the collaborative filtering algorithm. In order to fully prove the effectiveness of the teaching platform designed in this paper, the rough set theory and neural network algorithm are used to construct the online teaching quality evaluation model for college ethnic music. The questionnaire survey method is used to study the status quo of ethnic music teaching in colleges and universities, and it is concluded that at present, there are problems in ethnic music teaching in colleges and universities, such as insufficient concepts of students learning ethnic music and insufficient attention to ethnic music in colleges and universities themselves. Through the analysis of the effect of the recommended algorithm, the design of the evaluation index system, and the practical application, the quantitative assessment value of the teaching quality of the ethnic music online teaching platform designed in this paper in the practical application is 92.11, which indicates that the comprehensive rating of the quality of the ethnic music online teaching in colleges and universities in this paper is excellent.

An Online multimedia teaching quality evaluation method based on Association Rule Mining

An Online multimedia teaching quality evaluation method based on Association Rule Mining

Learned Lessons and New Normal in Education After the Covid-19 Pandemic From Saudi K-12 Teachers’ Perspectives

Aim/Purpose: This study evaluated the e-learning experience of Saudi K-12 teachers during the COVID-19 pandemic. More specifically, it explored their perceptions of e-learning. It also investigated the teaching approaches and strategies, tools for facilitating e-learning, assessment tools, and social media used by teachers for communicating with students in e-learning during the pandemic. Furthermore, it identified the weaknesses of e-learning as perceived by the teachers. Background: The education sector has been severely impacted by the coronavirus disease (COVID-19) epidemic that has spread globally. The lockdown has damaging effects on the educational system as well, notably in Asia. Traditional classroom education has quickly changed to online instruction as a result of the extended closure of schools and institutions. Methodology: The study used a mixed-methods approach involving quantitative and qualitative data collection and analysis in this exploratory study. A cohort of 426 randomly selected K-12 teachers completed an electronic questionnaire in the second semester of the 2021 school year. Contribution: The study revealed successful e-learning experiences during the COVID-19 pandemic in Saudi Arabia. The teachers reported favorable perceptions of e-learning and used teaching approaches and strategies aligned with e-learning. Findings: The results revealed that the teachers’ perceptions of e-learning were positive. However, substantial differences in e-learning perceptions in some variables were found, e.g., experience using the Internet and computer applications. However, no significant differences by sex were found. The results also revealed the teaching approaches and strategies, tools for facilitating e-learning, assessment tools, and social media for communicating with students, which were used more frequently by the teachers in e-learning during the pandemic. Recommendations for Practitioners: The findings of this study would persuade educational institutions and policymakers to improve the quality of online teaching with the most up-to-date teaching methods, along with government support for bettering basic infrastructure and Internet connectivity, bridging the digital divide, and developing rural areas to make e-learning more successful and well-liked throughout the nation. Recommendation for Researchers: This new discovery prompts aspiring researchers to explore teachers’ perceptions of e-learning. Researchers would find this work important because the results revealed successful e-learning experiences during the COVID-19 pandemic in Saudi Arabia. Impact on Society: Because of the impact of e-learning during COVID-19, schools and society should not discard it. This can improve the e-learning experience for both teachers and students. Online-based and classroom-based education modes have advantages, and combining both methods is appropriate to benefit from these advantages. Future Research: Future work will need to be more detailed, including either qualitative or investigations. Further, more research can investigate instructors’ discernments alongside students’ and parents’ insights toward virtual classes.

Information fragmentation and quality of the student network Education

With the rapid development of information technology, China has entered the era of new media, which has had a significant impact on online education for students. This article discusses the concept of information fragmentation from the perspective of big data. By analyzing the positive and negative effects of information fragmentation on the formation of student networks, we investigate the relationship between information fragmentation and the effectiveness of student network literacy education. We also use existing educational resources to explore new strategies for students’ online literacy and strive to improve the quality of quality online education for students through various educational channels.

Evaluation of online teaching quality in colleges and universities based on digital monitoring technology

Evaluation of online teaching quality in colleges and universities based on digital monitoring technology

A construction of online teaching quality evaluation model based on big data mining

A construction of online teaching quality evaluation model based on big data mining

A Construction of online teaching quality evaluation model based on big data mining

A Construction of online teaching quality evaluation model based on big data mining

An Empirical Study on the Reversal Effect of English Teaching in Colleges and Universities in the Internet Era

Abstract This paper begins with the innovation of English teaching in colleges and universities during the Internet era. It then presents innovative application strategies, exemplified by the online learning platform and online teaching quality evaluation. Finally, it conducts empirical research on the reversal effect of English teaching in colleges and universities during the Internet era, using application analysis. Text information extraction is accomplished by mutual information technology; teaching resource transmission and scheduling are realized by the Markov chain; collaborative filtering of teaching resources is carried out; and an online learning platform is constructed. Create an online assessment ensemble for teaching quality, set assessment constraints for optimization, generate an affiliation function for English teaching quality assessment and construct an algorithm for English teaching quality online assessment. Conduct teaching practice at the University of Rochester to empirically demonstrate the effects of counterbalancing on English teaching in colleges and universities. After the practice, the speaking, reading, and writing test scores of the subject students increased by 2, 2.41, and 1.46, respectively, compared to their pre-practice scores, and their learning anxiety decreased. During the practice period, English class attendance was stable at more than 90% since the 5th week, and the dimensions of English learning ability were higher than 3.5. The subject students also had high satisfaction attitudes toward the overall quality of English teaching.

A quantitative evaluation method of online teaching quality based on Data Mining

A quantitative evaluation method of online teaching quality based on Data Mining

An online teaching quality evaluation method based on deep belief network

An online teaching quality evaluation method based on deep belief network

An online teaching quality evaluation method based on deep belief network

An online teaching quality evaluation method based on deep belief network

A MOOC online teaching quality evaluation method based on fuzzy algorithm

A MOOC online teaching quality evaluation method based on fuzzy algorithm

Typical cases of online teaching quality evaluation based on multimodal affective state analysis

Typical cases of online teaching quality evaluation based on multimodal affective state analysis