Browsing by Author "Chowdhury, Asive"

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A Case Study on Career Decision Making Difficulties and a Prototype Implementation of a Solution
(Daffodil International University, 2018-12) Chowdhury, Asive
Career Decision Making is essential for the human beings to become a successful human being. Most of the people are thinking about this kind of planning since their childhood. In Bangladesh, there are needed to analyze significant features of career decision making like many other countries around the world. The goal of this work to investigate significant features which are responsible to increase decision difficulties factors considering the family income of adolescents. In this situation, we gathered adolescent records of high school going adolescents at Faridganj, Chandpur, Bangladesh using Career Decision Difficulties Questionnaire (CDDQ) which is proposed by I. Gati et. al. In addition, our primary dataset was splitting into 18 datasets based on 3 major CDDQ categories and 6 individual family income ranges. Thus, 10 regression algorithms were applied in our primary dataset and find out the best regression algorithm from them. After that, our selected best algorithm was implemented throughout 18 different datasets and interpreted these findings. In this experiment, we finally observed that adolescents of middle-class families are faced more career decision difficulties than high-and low-class families. We suggest this analysis as a complementary tool for further psychological treatment about career decisions.
Exploring Significant Family Income Ranges of Career Decision Difficulties of Adolescents in Bangladesh Applying Regression Techniques
(2nd International Conference on Electrical, Computer and Communication Engineering, IEEE, 2019-04-04) Satu, Md. Shahriare; Ahamed, Sharif; Chowdhury, Asive; Whaiduzzaman, Md
Career Decision Making is essential part of human life. Most of the people are thinking about this since adolescence. Therefore, we should analyze significant features about career decision difficulties of adolescents in Bangladesh. The goal of this work to explore the most affected class of adolescents about career decision difficulties considering family income ranges in Bangladesh. In this situation, we gathered several records of high school going adolescents at Faridganj, Chandpur, Bangladesh using career decision difficulties questionnaire which was proposed by I. Gati et. al. Hence, several regression algorithms were considered for experimental analysis based on the characteristics of our primary career decision difficulties dataset. After that, these algorithms were applied into career decision difficulties dataset of adolescents and explored the best regression algorithm based on experimental results from them. Then, our selected best algorithm was implemented throughout different datasets (split from primary dataset) and interpreted their findings. Finally, we observed that middle level family income ranges (10000-21000 BDT) of adolescents were faced more difficulties to take proper decision about career than others. This analysis is suggested as a complementary tool for further psychological treatment about career decisions
Exploring Significant Family Income Ranges of Career Decision Difficulties of Adolescents in Bangladesh Applying Regression Techniques
(2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019, 2019-04-04) Satu, Md. Shahriare; Ahamed, Sharif; Chowdhury, Asive; Whaiduzzaman, Md
Career Decision Making is essential part of human life. Most of the people are thinking about this since adolescence. Therefore, we should analyze significant features about career decision difficulties of adolescents in Bangladesh. The goal of this work to explore the most affected class of adolescents about career decision difficulties considering family income ranges in Bangladesh. In this situation, we gathered several records of high school going adolescents at Faridganj, Chandpur, Bangladesh using career decision difficulties questionnaire which was proposed by I. Gati et. al. Hence, several regression algorithms were considered for experimental analysis based on the characteristics of our primary career decision difficulties dataset. After that, these algorithms were applied into career decision difficulties dataset of adolescents and explored the best regression algorithm based on experimental results from them. Then, our selected best algorithm was implemented throughout different datasets (split from primary dataset) and interpreted their findings. Finally, we observed that middle level family income ranges (10000-21000 BDT) of adolescents were faced more difficulties to take proper decision about career than others. This analysis is suggested as a complementary tool for further psychological treatment about career decisions