Background: Knowledge of students is more important as compared to their position, marks, and G.P.A. Learning for students performs a vital role as it helps them achieve what they desire in their educational profession. Semester system is based on a six-month duration, examination at the end of eachsemester.
Objectives: This study attempts to find out satisfaction levels of students regarding the semester system in colleges. The study explores various factors like the role of teachers, types of courses, time duration, the medium of learning, management system, college environment, group work factors, all of which have significant impact on satisfaction levels of the students.
Methods: BS Students were taken as target population to take the research sample. Primary data were collected with the help of questionnaire and then analyzed by using SPSS software.
Results: Results show that semester system is perceived to be a most effective way of effectual learning; however, the satisfaction level of students can be enhanced by cooperative efforts of teachers and students.
Conclusions and Recommendation: Although there are many factors elaborated in the study that can efficiently enhance student’s satisfaction, the teacher’s efforts and behavior are the main factors which are directly related to the student’s satisfaction.
Objective: This research is being conducted to develop a technological solution for mentally distorted students. Though the mental health of university students is known globally as a momentous public health matter. Academicals and social stresses are playing quite a negative role in university student's life, especially in forms of mental illness like stress, depression, and anxiety. These mental health issues are becoming a major constraint towards their studies and career. Method: Psychologist used different scales to measure a level of mental disorder. However, to measure such a disease level, we are working on a knowledge-based expert system that will be used to compute its level among the students who are affiliated with technological studies. Mostly psychologist does psychotherapy and use other instruments to cure such a patient for which they must have to visit the psychologist. However, if the psychologist is not available especially in remote areas then the expert system can be used as reciprocal. In order to make our expert system more validate and authentic the knowledge of psychological expert will be used under the process of development. Results: Data from 500 technological University Students are collected from one of the universities in Sialkot, Pakistan. Almost more than 200 students remained clear minded and fall under the normal state of depression and 122 students in case of Anxiety remained normal. 206 students out of 500 were responders to the abnormal stage of anxiety on a 5-point scale from an average of 4.5 points. On the basis of this, an expert system is being designed to facilitate the students. Conclusion: As per results, 30%-35% students were in the range of abnormality. Therefore, we are further going to develop an evaluation mechanism by using technological ways so that an expert system can replace a psychologist.
Green buildings are supposed to provide a sustainable solution for energy usage, but their low performance raised some questions in the literature. The researchers determine that occupants are the key factor for this energy deficiency. In the last two decades, a stream of research focuses on the greening of occupants, but a synthesis of findings and results are absent in the literature. In this study, we reviewed the literature on green buildings and occupants. Based on the findings we classified four classes. The first class consists of green occupants and green buildings, which is the ideal solution for high-energy efficiency. The second class is of brown occupants and green buildings and is the prime reason behind outperformed green buildings and yields negative-medium level efficiency. The third class comprises green occupants and brown buildings and yields positive-medium level efficiency, which helps to start the journey towards sustainability. The fourth class is the combination of brown buildings and brown occupants and has the lowest efficiency and worst impact on the environment throughout the lifecycle. Further, we link these classes with the energy-saving efficiency of buildings and finally recommended an efficient solution for second and third world countries. The study contributes to green building literature and packed with managerial implications to gain the maximum benefits of green buildings.
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