International Journal of Higher Education and Sustainability (6 papers in press)
The Risk of Intellectual Decadence: Stakeholder Organizations and the Neglect of the Human Sciences in Universities in the Arabian Gulf
by Samia Costandi, Allam Mohammed Hamdan
Abstract: Higher education institutions in the Arabian Gulf region today, which have mushroomed and proliferated in the past ten to fifteen years, have been constructing themselves along models of Western universities at the levels of governance, programs, and structure. At the outset of the twenty first century, universities have globally experienced a drastic shift in their governance from republics of scholars to stakeholder organizations. In this paper, we discuss and deconstruct some of the consequences of that drastic shift, paramount among which is the downsizing and neglect of the human sciences/humanities departments. Since critical thinking thrives in the departments of the social sciences/humanities, we believe that universities in this region in their present state face the serious challenge of generating indigenous knowledge that fulfils the needs of citizens within this region, knowledge that draws upon the culture, history, and geography of the area and responds to the specific needs of citizens in this area. We draw on the literature, on our philosophy of education, and on our personal experiences as academics who work in a higher education institution in this region.
Keywords: Risk of Intellectual Decadence; Academic Freedom; Human Sciences/Humanities; Universities in the GCC.
An exploratory qualitative research to address processes that are utilised for managing knowledge: A case study in a Queensland Regional University
by Atheer Mohammed, Abdul Hafeez Baig, Raj Gururajan
Abstract: This paper aims to improve the theoretical and practical comprehension of Knowledge Management (KM) research in the higher education sector. There are pragmatic advantages for universities if this is achieved. Knowledge is a primary source of sustainable competitive advantage for educational organisations. The managing of knowledge results in increasing university rankings and profits. A universitys ranking is aligned with the management of skilled employees knowledge which contribute significantly to a universitys performance by attracting new students, conducting high-quality teaching and learning, conducting high-level research, and securing funds for further research. This study depends on the Focus Group (FG) method as the main tool for data collection. The sample consisted of eleven Information Communication Technology (ICT) and human resources managers who are working at a Queensland Regional University (QRU). A high-level FG session was transcribed and thematically analysed using both manual techniques and text analysis software (NVivo 11). The participants are aware of eight key constructs: creation, storage, transfer, capture, sharing, utilisation, application, and evaluation of knowledge. This study collects qualitatively rich and original data regarding KM in the Australian higher education domain. It provides more debates for adding new ideas in the Australian education strategic plans for higher education in general and Queensland specifically. This research provides a comprehensive review that assists future academic research in choosing the common processes in terms of KM. This would assist researchers in the KM field to provide a deeper understanding and develop a theoretical foundation for their further studies.
Keywords: Focus group; knowledge management; higher education.
Campus Conservation Initiatives: Factors Influencing Student Engagement, Attitudes, and Behaviors
by Rick Gage, David Graefe
Abstract: College campuses play a primary role in promoting and facilitating sustainability and pro-environmental behavior. While many studies have focused on campus sustainability efforts, few have specifically focused on how students interact with campus conservation initiatives, factors that influence these interactions, and how interactions are related to attitudes and behaviors. The purpose of this study is to examine factors that influence student engagement with campus conservation initiatives, and the relationships between engagement, demographics, attitudes, and behaviors. Analyses revealed more similarities than differences between demographic groups, and the differences that were found were too small to be of practical importance. Of greater importance was the finding that students who had been exposed to conservation projects via a course or professor showed greater overall engagement and more frequent participation in pro-environmental behaviors. Path analyses suggest that student engagement with campus conservation initiatives and general environmental attitudes can be used to predict pro-environmental behaviors.
Keywords: campus conservation; conservation initiatives; environmental attitudes; environmental behaviors; student engagement; sustainability; higher education; sustainable development; NEP; New Ecological Paradigm.
The Effect of Mobile Learning in Higher Education Mathematics
by Layal Hakim
Abstract: Mobile learning (M-learning) is not a virtual library, nor is it arnmeans to replace lectures. It is intended to complement lectures/seminars andrnharmonises learning techniques by using mobile applications such as phones,rnPDAs, and tablets. As students become increasingly technophilic, the digitalrnrevolution becomes an integral part of education. M-learning is not shifting from PCs to phones, it is a way of extending the hierarchy of learning facilities. M-learning offers new ways for lecturers to deliver material, new ways for students to revise independently and with their peers, and integrates learning into their daily lives. Known for their flexibility, ability to exchange information, popularity, and of course mobility, mobile devices can be a suitable education resource. However, how serious are the drawbacks to M-learning? To what extent is M-learning advancing learning strategies? Does M-learning have any impact on the mindset of students in higher education? In this project, we explore the big questions related to M-learning, with a focus on the Department of Mathematics at the University of Exeter.
Keywords: Mobile Learning; pedagogy of mathematics; higher education.
Special Issue on: Advances in Engineering Education
Exploring Pair Programming Beyond Computer Science: A Case Study in its Use in Data Science / Data Engineering
by Jeffrey Saltz, Ivan Shamshurin
Abstract: While pair programming has been studied extensively when teaching computer science students, very little has been reported with respect to pair programming in a broader context. To help address this gap, this paper reports on a case study evaluating the effectiveness of pair programming within a data science course. Our findings show that pair programming can be useful for teaching data science students and suggests that the pair programming construct is useful for other disciplines as well. In addition, while the driver role was similar to what has been described within a software development context, we note that the navigator role had an expanded set of responsibilities, which we termed researcher activities and that further research is required to explore if this expanded role is applicable in domains beyond data science / data engineering.
Keywords: Data Engineering; Data Science; Pair Programming; Engineering Education; Teaching Methods.
Institution Recommendation Using Relationship Optimization between Program and Student Context
by Pratya Nuankaew, Wongpanya Nuankaew, Punnarumol Temdee
Abstract: Education is a way of contributing the learning experience and achievement of the learner. It is important to introduce the appropriate educational program, which is offered by many universities for students to satisfy their requirements and preferences. Therefore, the purpose of this paper is to represent a program recommendation for each student by optimizing the relationship between the program and student context, which are composed by two major issues, including finding the relationship between program and student context and illustrating the model where the relationship between them are reasonably satisfied. The procedure for optimizing the relationship is consisting of three processes, including the Information collection, data analysis, prototype creation, prototype implementation, and model validation. The data are collected from 885 students from three universities, including Rajabhat Mahasarakham University, Mahasarakham University, and University of Phayao. The methods which are used to discover the models are decision tree and association rule. As the results, there are 19 significant factors, which are 15 factors in student context and 4 factors of program context. Moreover, the model has 76.50% accuracy which indicated that the constructed model reveals the reasonable relationship between program and student context for the proposed program recommendation.
Keywords: Recommendation System; Student Context; Optimization; Learning Analytics; Data Mining in Education; Education Model.