For university-business cooperation (UBC) to prosper, academics must be sufficiently motivated to undertake different collaborative activities and engage with businesses in various ways. Our understanding of the motivations that underpin academic engagement has improved, yet the inherent complexity and constellations of a multitude of relevant…

Predicting student's successful completion of academic programs and the features that influence their performance can have a significant effect on improving students' completion, and graduation rates and reduce attrition rates. Therefore, identifying students are at risk, and the courses where improvements in content, delivery mode, pedagogy, and…

The current environmental crisis has mainly a human-induced origin. In this regard, technical and vocational (T&V) graduates have an important role in the optimal use of environment and resources. Therefore, this research intends to find the best teaching method of education for sustainable development (ESD) in order to improve the behavior of…

Institutions and universities have started using e-learning systems to reach the potential students from all over the world by decreasing costs of investments. The speed of technological developments increases the importance of e-learning systems and their technology-based components. E-learning systems also decrease the costs of both institutions…

Cultural and creative products are incredibly diverse that difficult to mass-produce and fail to meet market demands. The unique characteristics and the cultural and sales value of cultural and creative products must be highlighted through the application of multifunctional design. As a scientific approach, the Delphi method and fuzzy logic theory…

Clustering of educational data allows similar students to be grouped, in either crisp or fuzzy sets, based on their similarities. Standard approaches are well suited to identifying common student behaviors; however, by design, they put much less emphasis on less common behaviors or outliers. The approach presented in this paper employs fuzzing…

Time to degree and graduation are paramount concerns in higher education today and have caught the attention of educators, policy makers, and researchers in recent years. Delays in student flow through learning pathways may result in undesired consequences and this fact has made educators and the public start to regard timely degree completion as…

This quasi-experimental, mixed methods study explored student perceptions of class climate before and after implementation of a two-week social and emotional learning (SEL) intervention in elementary classrooms in Japan. The sample consisted of 131 second and third grade students. A one-time SEL lesson focusing on offering kind words to peers was…

The overall objective of this study is to understand how the fuzzy logic theory can be used in measuring the programming performance of the undergraduate students, as well as proving the advantages of using fuzzy logic in evaluation of students' performance. 336 students were involved in the sample of this quantitative study. The first group was…

A recurring issue in intercultural research is whose knowledge informs conceptualization and design of projects or interventions. Fuzzy cognitive mapping uses arrows and weights to represent stakeholder knowledge on causal relationships and can generate composite theories to inform research and action. Cognitive mapping is accessible across…

In response to the problem of inaccurate classification of big data information in traditional English teaching ability evaluation algorithms, this paper proposes an English teaching ability estimation algorithm based on big data fuzzy K-means clustering. Firstly, the article establishes a constraint parameter index analysis model. Secondly,…

This contribution reports on the findings of a project whose aim was to explore the construct of the language-teaching methodology interface (LTMI) in lecturing through English. Evidence of its existence will be provided and implications for teacher training will be considered. On the assumption that the LTMI can be characterised by the…

This paper addresses the interesting issue of mobile-assisted language learning using novel techniques for further improving the adaptivity and personalisation to students. The domain model of the system includes English and French language concepts, and its user model holds information about students and their progress. It also embodies a…

Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic in many academic disciplines. Different mathematical models have been employed to predict student…

Due to the inherently dangerous environment in the maritime industry, it is an essential aspect for the human resources in the industry to have a high level of knowledge, skill and competence. Therefore, maritime education and training needs to be structured as a unique instructional design model that will ensure the acquisition of the required…