Analyzing Personality Traits and External Factors for Stem Education Awareness using Machine Learning
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 5
Abstract
The purpose of the paper is to present the personality traits and the factors that influence a student to pursue STEM education using machine learning techniques. STEM courses have high regard because they play a vital role in global technology, inventions and the economy. Educational Data Mining helps us to identify patterns and relationships in a large educational database. On the other hand, Machine Learning facilitates decision making process by enabling learning from the dataset. A survey comprising of an extensive variety of questions regarding STEM education was conducted and the opinions of students from various backgrounds and disciplines were collected. A dataset was generated based on the responses from students. Machine Learning algorithms (one class-SVM and KNN) applied on this dataset emphasizes variety of courses offered, research-oriented learning, problem-solving approach, a good career with high paying job are some of the factors which may influence a student to choose STEM course.
Authors and Affiliations
Sang C. Suh, Anusha Upadhyaya B. N, Ashwin Nadig N. V
Keywords
Related Articles
- EP ID EP577851
- DOI 10.14569/IJACSA.2019.0100501
- Views 68
- Downloads 0
Ethernet Based Remote Monitoring And Control Of Temperature By Using Rabbit Processor
Networking is a major component of the processes and control instrumentation systems as the network’s architecture solves many of the Industrial automation problems. There is a great deal of benefits in the process of in...
Enhanced Textual Password Scheme for Better Security and Memorability
Traditional textual password scheme provides a large number of password combinations but users generally use a small portion of available password space. Complex textual passwords are difficult to remember, therefore mos...
Evolutionary Strategy of Chromosomal RSOM Model on Chip for Phonemes Recognition
This paper aims to contribute in modeling and implementation, over a system on chip SoC, of a powerful technique for phonemes recognition in continuous speech. A neural model known by its efficiency in static data recogn...
Person Detection from Overhead View: A Survey
In recent years, overhead view based person detection gained importance, due to handling occlusion problem and providing better coverage in scene, as com-pared to frontal view. In computer vision, overhead based person d...
Usability Testing for Crop and Farmer Activity Information System
Information System usability level depends on acceptance and system convenience to be run by users. One of the methods to measure usability level is by conducting usability testing. This article elaborates usability test...