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 100
- Downloads 0
Automatic Detection Of Electrocardiogram ST Segment: Application In Ischemic Disease Diagnosis
The analysis of electrocardiograph (ECG) signal provides important clinical information for heart disease diagnosis. The ECG signal consists of the P, QRS complex, and T-wave. These waves correspond to the fields induced...
WhatsApp as an Educational Support Tool in a Saudi University
WhatsApp is a widely used social media app, growing in popularity across the Middle East, and the most popular in Saudi Arabia. In this paper, we investigate the usage of WhatsApp as an educational support tool in a Saud...
Towards A Framework for Multilayer Computing of Survivability
The notion of survivability has an important position in today enterprise systems and critical functions. This notion has been defined in different ways. However, lacking a comprehensive and multilayer model for computin...
Face Retrieval Based On Local Binary Pattern and Its Variants: A Comprehensive Study
Face retrieval (FR) is one of the specific fields in content-based image retrieval (CBIR). Its aim is to search relevant faces in large database based on the contents of the images rather than the metadata. It has many a...
Feature-based Sentiment Analysis for Slang Arabic Text
The increased number of Arab users on microblogging services who use Arabic language to write and read has triggered several researchers to study the posted data and discover the user’s opinion and feelings to support de...