The Quality of the Student’s Learning Experience: A Strategic Dimension of British and American Higher Education Systems in the Early 21st Century

2021 ◽  
Vol 17 (3) ◽  
pp. 929-943
Author(s):  
Olga A. Gritsova ◽  
Elena V. Tissen

The quality of online learning mechanisms, widely implemented due to the COVID-19 pandemic, is a significant issue for regional higher education systems. The research aims to assess student satisfaction with the quality of online education by identifying discrepancies between their requirements and the actual learning process. In order to examine the gaps between students’ expectations and perceptions, a new approach was proposed based on the integrated use of Gap analysis and SERVQUAL methodology, combining qualitative and quantitative aspects. SERVQUAL questionnaires for measuring student satisfaction with online learning include the following criteria: tangibles, reliability, responsiveness, assurance, empathy. Full- and part-time undergraduates of humanitarian and socio-economic departments of two universities participated in the study. Ural Federal University bachelors, learning via Moodle and Microsoft Teams platforms, could directly communicate with their peers and professors, while students of National Research Nuclear University MEPhI were engaged in massive open online courses (MOOC). As a result, all five criteria were analysed in the proposed model for quality assessment of online learning to reveal the gaps between students’ expectations and perceptions of the educational process. Significant discrepancies in the «empathy» and «responsiveness» criteria in both groups demonstrate low student satisfaction with the quality of communication and individualisation of learning. The research findings can be used to construct resource allocation models for implementing educational programmes and developing support measures for regional higher education institutions.


2021 ◽  
Vol 19 (1) ◽  
pp. 1-23
Author(s):  
Saefudin A Safi'i

This paper examines the Indonesian Islamic education tradition from the 19th Century to the early 21st Century. The data in this paper were obtained from written sources as well as several previous studies. The results reveal that the Islamic education tradition begins with religious recitation, which is taught individually (not collectively or in a classical system) in a teacher’s house, langgar, or surau. The relationship pattern between Islamic (pesantren-madrasah) and the regular education system is associated with Indonesia’s Islamic education system development. This pattern occurred in the 19th to the beginning of the 21st Century and is divided into two episodes. During the first two centuries (19th and 20th centuries), the Islamic education system (religious sciences organized by individuals, organizations, or government institutions) was still differentiated (convergence or synthesis) from the ordinary school education system (general sciences). At the beginning of the 21st Century, the relationship between the two education systems has indicated knowledge integration, although it is still minimal. So far, it has been rigidly divided between “religious sciences” on the one hand and “general sciences” on the other, leading to an integrated knowledge discourse. If this pattern is desired, an Islamic boarding school for higher education will be created. In which “general knowledge” is given during the day, and “religious knowledge” (Al-Qur’an and Kitab) is taught in the evening. This tradition has become a model for curriculum synthesis between the religious sciences and the general sciences to form the Islamic higher education institution.


2019 ◽  
pp. 20-21 ◽  
Author(s):  
Martin Hayden

The higher education systems in Laos and Cambodia have been expanding rapidly over recent years, but with increasing reliance on a teaching-only private higher education sector, the quality of which is extremely variable. Public-sector higher education institutions, though generally considered more prestigious to attend, are severely constrained by a lack of institutional autonomy and limited budgets, and so their quality is also a matter for concern.


Author(s):  
Shuping Xiao ◽  
A. Shanthini ◽  
Deepa Thilak

Recent advancements in Artificial Intelligence techniques, including machine learning models, have led to the expansion of prevailing and practical prediction simulations for various fields. The quality of teachers’ performance mainly influences the quality of educational services in universities. One of the major challenges of higher education institutions is the increase of data and how to utilize them to enhance the academic program’s quality and administrative decisions. Hence, in this paper, Artificial Intelligence assisted Multi-Objective Decision-Making model (AI-MODM) has been proposed to predict the instructor’s performance in the higher education systems. The proposed AI-assisted prediction model analyzes the numerical values on various elements allocated for a cluster of teachers to evaluate an overall quality evaluation representing the individual instructor’s performance level. Instead of replacing teachers, AI technologies would increase and motivate them. These technologies would reduce the time necessary for routine tasks to enable the faculty to focus on teaching and analysis. The usage for administrative decision-making of artificial intelligence and associated digital tools. The experimental results show that the suggested AI-MODM method enhances the accuracy (93.4%), instructor performance analysis (96.7%), specificity analysis (92.5%), RMSE (28.1 %), and precision ratio (97.9%) compared to other existing methods.


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