The Decision Support Systems (DSS) are very fundamental for supporting Quality Management Systems (QMS) in Higher Educations Institutions (HEIs). DSS are effective in various fields like automotive, finance, business, military, etc. and are being applied in the education sector for improvement of the quality of services. For DSS to support Quality Management Systems, there is the need to formulate a classic Decision Support Systems that entails organised leadership for better results. Any systems developed to measure and evaluate the success in HIEs is expected to put into consideration various factors. These include success rate, quality of produced papers, the number of produced papers, and employability rate of its learners, unemployment duration, and average salary after graduation, amongst others. The QMS ensures that the Key Performance Indicators (KPIs) are well-integrated with the current market. The DSS plays a critical role in ensuring that decisions made by HEIs are helpful in inducing necessary skills to learners.
The DSS will be outstanding in supporting QMS in HEIs because of its capability to formalise the decision-making activity. For instance, DSS are referred to as knowledge-based information systems that capture, manipulate, retrieve, analyse, and transmit organised data that helps in solving a task in the most professional manner. It helps the decision makers to use detailed transactions that are useful towards evidence-based decision making. Moreover, the human operators in the QMS formulate decisions in the framework of a professional task with explanations to the users. As an analytical tool, the DSS supports the QMS in establishing the best decisions that will advance current the state of higher education. The system supports decision makers to solve emerging problems in an organisation to establish prosperity and success.
According to Thaung, the DSS systems can help to establish an applicable model for testing and measuring the capabilities of students, for instance, intelligence, comprehension, understanding, mathematical concepts, and past academic records. The module results obtained are therefore used in the DSS to determine the capability of those competencies with the available faculties or majors. The process assist students in making a viable decision regarding the appropriate faculty they will join during admission to a certain institution. Furthermore, the DSS can reinforce the process of learning in medical education from decision support tools, Bayesian models, scoring systems, neutral networks to cognitive models that shape the manner at which scholars progressively build their knowledge into memory and support pedagogic methods. The simulation and assessment of DSS in various scenarios help to determine the competencies and organisation of the education sector.
Nonetheless, there are various intangible payoffs of the DSS to QMS in HEIs. For example, it promotes an improved internal control. It helps the executive management to formulate and implement policies that improve the daily activities in institutions. The instructors periodically update learning materials to increase knowledge to the learners. Also, the DSS offer a platform for constructive responses to the consults and methodologies to learners with reduced response times. Since the quality of decision making is improved, a long-term profitability is achieved in the education sector. The Quality Management System in Higher Education Institutions ensures a faster response to changes that focuses on quality improvement. When applied in the right way, DSS eliminates confusion and redundancy in the education sector. It also does away with bad decisions that can tarnish the operations in an institution of learning. The QMS assess and evaluate the operations in an institution to determine if the expected standards are met.
Bibliography
Bresfelean, Vasile Paul, and Nicolae Ghisoiu. "Higher education decision making and decision support systems." WSEAS Transactions on advantages in engineering education 2 (2009): 43-52.
Thaung, Khine Soe, ed. Advanced Information Technology in Education. Vol. 126. Springer Science & Business Media, 2012.
