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The purpose of this study is to propose a research model based on expectation-confirmation model (ECM) to examine whether interactivity and course quality factors (i.e. course content quality, course design quality) as antecedents to student beliefs can influence students' satisfaction and continuance intention of the cloud-based electronic learning (e-learning) system within the educational institution.

Sample data were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 515 (85.8%) useable questionnaires were analyzed using structural equation modeling.

Findings showed that students' perceptions of interactivity, course content quality and course design quality positively significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, which in turn directly or indirectly led to their continuance intention of the system. Thus, the results strongly supported the research model based on ECM via positioning key constructs as the drivers with all hypothesized links being significant.

This study identifies three factors (i.e. interactivity, course content quality, course design quality) as drivers from the learner perspective within the cloud-based e-learning environment, and links these factors to students' satisfaction and continuance intention of the cloud-based e-learning system based on ECM. It is particularly worth mentioning that the three drivers can serve as precursors for recognizing the determinants that are crucial to understand students' satisfaction and continuance intention of the cloud-based e-learning system. Hence, this study may provide new insights in nourishing the cloud-based e-learning continuance literature in the future.

With the increasing popularity of online courses, their quality has become a public concern. Based on the perspective of knowledge management, this study aims to identify comprehensive and granular quality factors of online courses and analyze the relationships between the factors.

Following the principles of the grounded theory, interpretive structural modeling and cross-impact matrix multiplication applied to classification (MICMAC) analysis methods, this research uses reviews and comments garnered from Zhihu, which is the most popular online question-and-answer community in China, to conduct the analysis.

Based on the text data, 50 factors that potentially affect the quality of online courses are obtained. The analysis identifies the hierarchical relationships and dependent correlations between the factors.

The research uses the knowledge transformation model to classify content elements according to their degree of descriptiveness and provides practical and effective suggestions for improving the quality of online courses.

The purpose of this study is to investigate how professionals who are continuing their education rate a higher education quality management course with an emphasis on reflective learning and real problem-solving. The audited course consists of module-based teaching, while students work on an improvement project at their workplace between course sessions. This study has a twofold aim: to contribute to the design of quality improvement courses based on doing as we learn and to offer insight into the use of a final grading method that consist of a folder with reports from the intermediate work steps and a final report.

After completing the course, students received a survey with questions and statements about the course content, delivery and final grading methods. They answered these questions on a seven-point Likert scale and also answered open-ended questions.

It is clear that professional students value the interweaving of theory with real-life training, and they value module-based teaching in which theory is reviewed and applied to practical problems. Reflective learning was achieved through feedback from both teachers and fellow students on various interim reports. Students’ employers benefit from the course, as students gain experience with quality improvement. The grading of a final report on the improvement project based on three sub-assignments was highly appreciated.

Developers in courses in quality improvement benefit from learning how this course is structured, assessed and how participants perceived its components.

The course design with modules and intermediate work steps, where the students apply theory in quality improvement to a real project at their workplace, is an original concept. The modules correspond to the plan, do, check and act (PDCA) methodology.

The purpose of this research is to determine a comprehensive coursework for teaching quality management in the universities of developing countries i.e. Pakistan pertinent to the construction industry. Additionally, a framework was also developed based on the results.

Factors and course contents of quality management are extracted through a content analysis of the published literature. Further, a questionnaire survey is conducted involving 150 professionals to assess the requirements of the industry and academic professionals of the construction industry for effective quality management. Finally, for getting a more objective perspective, using quality function deployment (QFD) matrix a framework is developed.

The results show the level of importance of each design requirement. We can identify the design requirements through which we can fulfill the needs and demands of the stakeholders. Contents like benchmarking, supply chain management, six sigma and other data analysis methods, costing and auditing of quality, customer satisfaction analysis, TQM: theory and practices and ISO certification processes and procedures should be included in any course program related to quality management pertinent to the construction industry. Along with these contents, workshops and seminars must be arranged to address the user requirement for increased leadership and communication skills.

There is a lack of literature available on course content for quality management in the universities for the construction sector, therefore, a huge scope of future research in the field of quality management in the construction industry needs to be investigated. This research highlights the most significant quality management factors and course contents as per the requirement of industry professionals. Therefore, this study adds to the existing body of knowledge by developing a robust framework that will help decision-makers and top management to develop constructive quality management course work at university level that will help in producing qualified and trained quality professionals to the construction industry.

The purpose of this paper is to propose a framework for the analysis of students’ ratings of teaching quality in higher education and the disclosure of risky issues undermining the quality of teaching and courses that require attention for continuous improvement. The framework integrates two decision-based methods: the standardized u-control chart and the ABC analysis using fuzzy weights. The control chart, using the students’ ratings, allows the identification of those courses requiring an improvement of teaching quality in the short-medium term. While the ABC analysis uses fuzzy weights to deal with the vagueness and uncertainty of students’ teaching evaluations and provides a risk map of the potential areas of teaching performances improvement in the long term. The proposed framework allows the identification of teaching and course quality aspects that need corrective actions in response to students’ criticisms in accordance with different levels of priority.

This study adopts two methods, commonly used in industrial applications, i.e. the u-control chart and ABC analysis. Combining the results of a literature review on teaching evaluation and the application of these two methods as building blocks for the assessment, a framework to detect potential risks reducing teaching quality in higher education is proposed. The application of the framework is shown through an action-based case study developed in an Italian public university.

The study proposes a framework that combines two methods, i.e. u-control chart and ABC analysis with fuzzy weights, to support the assessment of teaching and course quality. The framework is proposed as an assessment approach of the teaching performance in higher education with the purpose to continuously improve the quality of teaching and courses both in the short, medium and long term.

The study provides an original contribution to the understanding of how to analyze students’ evaluation of teaching performance in order to take proper and timely decisions on corrective actions in response to the need of continuously improving the level of teaching and course quality.

The purpose of this paper is to introduce a survey instrument to measure three components of students’ perceptions of open and affordable course materials – quality, integration, and experience – and discuss its reliability and predictive validity.

The authors distributed an end-of-semester online survey to students enrolled in sections of 12 courses that adopted OER in Fall 2016, as well as conducting a within-interview survey with the instructors of those courses. The authors calculated the descriptive statistics from the responses to the student survey, as well as examining the inter-item and inter-rater reliability of the instrument. Finally, explored correlations in the data gathered through both the student and faculty surveys were explored.

The authors found that both students and faculty were generally pleased with the quality and experience of using open and affordable digital materials. The authors also found that our three survey subscales had strong inter-item reliability, and that the quality and experience subscales had predictive validity in terms of whether students would choose a traditional or digital text in future courses.

In addition to providing evidence in terms of the full survey instrument’s reliability and predictive validity, factor analysis indicates that a short scale of quality and experience Likert scale items could be used by practitioners to effectively assess satisfaction of digital materials among traditionally aged undergraduate students.

Course quality assurance procedures at Sheffield City Polytechnic are described. Two related sets of procedures fulfil two main functions: quality assurance, through annual review, of the day‐to‐day operation of courses, and the longer‐term validation of new courses and the progress review of existing courses. Some of the problems of operating an institution‐wide system of course quality assurance are also examined.

The purpose of this paper is to propose a service quality measuring and evaluating framework for courses that are not part of the regular end-of-semester course evaluation system because of their special characteristics. The results of an academic year-long application are also to be demonstrated.

Based on the SERVQUAL methodology and specific models proposed in the literature, altogether 26 statements related to project works were formulated, in case of which, students rated both the importance and performance addressed in each statement on a seven-point Likert scale. With an average 68 per cent response rate and more than 500 filled out questionnaires, importance-performance analyses complemented with statistical analysis were executed to investigate whether there are any differences between the different levels of project work courses, programmes, levels of studies and sub-departments. These results were then followed by focus group interviews by further addressing the importance issues.

Based on the joint conclusions drawn from the statistical analyses and extracted from focus groups, those statements were highlighted that can be considered as dealing with critical to quality issues. The results have been utilized to adjust the questionnaire according to the “voice of students”.

A complex approach is adopted to measure and evaluate service quality on a course level in the form of a post-course questionnaire. The first results lay the foundation for managerial decisions related to project work courses and supervising processes according to the plan–do–check–act philosophy.

During project works, students can master the necessary professional knowledge and those inevitable soft skills that are needed to be successful in the labour market. Therefore, the measurement and evaluation of project work courses may provide new information on course-level service quality and may be linked to total student experience results.

Quality Matters is one of the most widely regarded standards for online course design. Due to the COVID-19 pandemic, many instructors have needed to quickly convert face-to-face classes into an online environment. However, many instructors do not have online education expertise. Standards such as Quality Matters can help guide the creation of quality online course environments. This paper aims to provide a research-based and pragmatic approach for creating QM-informed online courses.

The Quality Matters Standards Rubric consists of eight General and 42 Specific Review Standards. Each standard was analyzed to determine the ease of implementation and implementation approach for a Quality Matters-informed online course template.

Of the 42 specific review standards, 16 (38%) are easily achievable, 20 (48%) are achievable, but required some intervention, and six (14%) are difficult to achieve through a course template.

This study provides guidance for implementing Quality Matters-informed online course design. As many instructors without an instructional design or online education background now need to conduct online classes, Quality Matters provides structure and guidance to assist with creating high-quality learning environments. As receiving formal Quality Matters certification is time-consuming and requires peer-review, this research provides guidance to create Quality Matters-informed online courses in a timely manner.

This study is particularly timely due to the COVID-19 pandemic and will help prepare instructors for any second-wave scenarios. Furthermore, through providing guidance on the creation of Quality Matters-informed online course design, this paper will help instructors have a greater chance of instructional success for online course delivery.

The current evaluation standards in German higher education institutions (HEIs) do not often lead to measurable quality improvement. The purpose of this paper is to critically evaluate whether Kaizen can improve the quality of teaching. The presented concept illustrates the evaluation of each course unit to continuously encourage quality feedback from the learners and intensify the exchange with lecturers.

Action research is used to combine the continuous improvement philosophy of Kaizen with student course evaluations. A pilot study of the concept provides data from four course cycles to analyze learnings and setbacks.

Learners in the pilot courses welcomed the intense participation and allowed improvements to elements such as course concept, course material, presentation style and content or detail selection. The participation rate declined during each term and was highly influenced by triggers like exam and grade relevance. Kaizen could successfully improve course quality, especially in the first two years of newly developed courses.

The presented results have been collected from one course over four years in one institution. The next stage of research would be the application of the approach in other institutions to validate results and make potential adjustments to the concept, for example, toward continuous learning.

Although course evaluation has become standard in German HEIs, most institutions only implement it once per term or year. This paper discusses a new approach to expedite the evaluation of teaching quality at the point of action (Gemba) to facilitate the short-term reactions of lecturers.