Teamwork assessment in the educational web of data: A learning analytics approach towards ISO 10018

Learning analytics in higher education: a preponderance of analytics but very little learning?

In a context where learning mediated by technology has gained prominence in higher education, learning analytics has become a powerful tool to collect and analyse data with the aim of improving students' learning. However, learning analytics is part of a young community and its developments deserve further exploration. Some critical stances claim that learning analytics tends to underplay the complexity of teaching-learning processes. By means of both a bibliometric and a content analysis, this paper examines the publication patterns on learning analytics in higher education and their main challenges. 385 papers that were published in WoScc and SciELO indexes between 2013 and 2019 were identified and analysed. Learning analytics is a vibrant and fast-developing community. However, it continues to face multiple and complex challenges, especially regarding students' learning and their implications. The paper concludes by distinguishing between a practice-based and management-oriented community of learning analytics and an academic-oriented community. Within both communities, though, it seems that the focus is more on analytics than on learning.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s41239-021-00258-x.

Examining the relationship between soft total quality management (TQM) aspects and employees' job satisfaction in “ISO 9001” Sudanese oil companies

Purpose

Soft total quality management (TQM) aspects are the facets of TQM that mainly concern with the management of human resource in a way to achieve the results of employees' job satisfaction. Based on this approach, the objective of this research is to examine the relationship between the most popular five soft TQM aspects and employees' job satisfaction in “ISO 9001” certified Sudanese oil companies.

Design/methodology/approach

Data were collected through questionnaires from employees across a total of five Sudanese oil companies owned by the government, and adopting an ISO-9001 quality program. The total population of the study consists of 1,505 permanent employees, while the sample size was 253 employees, determined by adopting a stratified random sampling technique. The multiple regression model was adopted for data analysis.

Findings

The results showed that the construct of soft TQM aspects including “top management commitment”, “employee empowerment”, “teamwork”, “training and education” and “employee involvement” explain 74% in the variance of employees' job satisfaction. Results showed positive association between soft TQM aspects and employees' job satisfaction at the 5% significance level. It was also found that each individual variable of the five soft TQM aspects has a significant positive association with employees' job satisfaction. Meanwhile, the results indicated that the most important soft TQM aspect in explaining the variability of employees' job satisfaction was the “employee empowerment” with the highest correlation coefficient (β) of (0.189).

Practical implications

The study recommends that in order to achieve their primary goal of employees' satisfaction, HR practitioners within organizations adopting total quality programs should align their practice in such a way to enhance soft aspects of TQM. Policy makers and top management in order to gain long-term infrastructural benefits obtained from employees' job satisfaction should show a visible support to TQM programs and allocate necessary resources to train their staff in the quality management system that enhance their empowerment and involvement. The study also recommends that since soft aspects of TQM raise their job satisfaction, employees should support and conform to quality management systems within their organizations.

Originality/value

The paper focuses on soft TQM aspects’ practical implementation. The findings make a significant contribution by using ISO-certified governmental Sudanese oil companies and tested the hypothesized model entails the impact of soft TQM implementation and employees' job satisfaction.