Search

Emotional intelligence is a comparatively new term that is gaining traction in the modern era. In the 1990s, Peter Salovey and John Mayor were the ones responsible for coining the term "emotional intelligence." The ability to identify and control one's own emotions as well as those of others in order to arrive at reasonable conclusions is referred to as emotional intelligence (EQ). The ability to monitor one's own feelings and emotions as well as those of others, to differentiate between those feelings and emotions, and to utilize this information to guide one's thinking and behavior is referred to as emotional intelligence (EQ). Perceiving, absorbing, comprehending, and controlling one's feelings have been identified as the four main talents that comprise the concept of emotional intelligence. People who are able to control their own moods and emotions as well as understand the sentiments of others perform better academically, socially, and professionally. The success of a student and the likelihood that the student will go on to lead a fruitful life are directly reliant on the educator. Educators lay the groundwork for students' social, emotional, and intellectual potentials, as well as their success in teaching and learning and overall well-being. As a consequence of this, evaluating the emotional intelligence of instructors is of the utmost importance. The purpose of this study is to determine whether current educators have EI skills and whether they use them is identified with the help of literature studies in the paper. Understanding emotional intelligence is important, and this study will lay the groundwork for further studies in the area. [ABSTRACT FROM AUTHOR]

Academic performance ranking is often used as one of the criteria to select a candidate for a certain academic position. The ranking is made by comparing several aspects which in reality is difficult to be ranked. This problem falls into multi criteria decision making (MCDM). Sometimes some complexities are naturally appear, such uncertainty, impreciseness and vagueness in measuring the aspects being compared. In this paper we present a discussion on ranking the performance of academic staffs in an Indonesian University. 10% of high rank academic staffs are chosen and their academic performance is evaluated to obtain the rank through the AHP and TOPSIS methods. The results show that the method is consistent with the direct observation. [ABSTRACT FROM AUTHOR]

The global market is transforming at its ever-increasing rate of knots. Consequently, the work skills challenges that current students will encounter throughout their lifetimes will be drastically different from those of present and past and proffering new-fangled opportunities and posing new challenges. However, in order to deal with tomorrow's opportunities and challenges students ought to equip with higher order cognitive skills which are substantially different from those needed in the past. In order to accomplish this intention, students must be academically self-regulated, as academic self-regulation is playing a vital role for academic success, particularly in higher education. Students must be prepared in such a way that they should take responsibility for their own learning. Self-regulation suggests activities and thinking processes that learners can engage in during his learning. Self-regulation is encompassing a number of inter-dependent aspect viz. affective beliefs, cognition and meta-cognitive skills [1]. It helps the learners to make sagacious use of their intellect and expertise [2]. As statistics has shown that the achievement of students in mathematics has persistently been poor. Along with it, mathematics is considered as one of the most important subject course in architecture, agriculture, medicine, pharmacy and especially in engineering. In spite of its importance, most of the students considered it as a dull and dry subject and their performance is remarkably low and alarming. Therefore, the present paper will highlight various factors affecting performance of higher education students in mathematics and will suggest different self -regulated learning strategies which will act as boon for higher education students. [ABSTRACT FROM AUTHOR]

The nexus of research and innovation in higher education are continually receiving worldwide priority attention. Hence, Malaysia has taken its move to enhance public universities as a center of excellence by introducing the status of Research University (RU). To inspire all universities towards becoming a research university, The Ministry of Higher Education (MoHE) had revised an assessment called Malaysian Research Assessment Instrument (MyRA) to evaluate the performance of existence RUs, and other potential higher education institutions. The available spreadsheet tool to access MyRA performance is inadequate to support strategic planning. Since, higher education management is a complex system, in which components and their interactions are ever changing over time, there is a need to for an efficient approach to investigate system behavior and devise research management policies for the benefit of the institution itself and the higher education system. In this paper, we proposed a system dynamics simulation model to evaluate the impact of policies for obtaining the highest performance in MyRA assessment. Causal loop diagram is developed to investigate the relationship of various elements in research management, their inter-relationship that link together and their evolution of behavior over time. [ABSTRACT FROM AUTHOR]