Group-1-Chapter 1 - Lecture notes 33 PDF

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Batangas State University

College of Information and Computing Sciences CHAPTER I INTRODUCTION Project Context In the new normal academic system, the logistics of new college experience remains uncertain from the past months by the reason of Covid-19 pandemic. Even the plans of colleges around the world has to reopen this academic year vary. Plans include welcoming students back to campus while implementing safety guidelines. These colleges aim to limit residential occupancy, postpone reopening of schools and end the academic year before Thanksgiving. This is because students have expressed difficulties of remote learning due to lack of resources, and this is the only way some colleges can stay afloat financially. Batangas State University Mabini Campus is consist of 295 total student in a 5 courses this year. Even though many students are in a complicated situation on how to handle students’ expected learnings in today’s new academic system, BSUMabini Campus provide education strategies or monitoring of classes using the flexible learning modality. In this study focuses on the performance of students in BSU-Mabini Campus and will analyze the education rate of success based on different courses. Predicting performance of student was aid recognized students who be by

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Batangas State University

College of Information and Computing Sciences possibility of failure and therefore management was provided timely assist and obtain important steps to instructor students to improved performance. The capability to predict performance of student was imperative in education sector. Using data mining method which was data in large quantity and discover concealed information sample that was cooperative in decision making. It was identification of different aspects that affected student of learning activities and performance throughout educational sector. Creation of prediction by classification data mining method on foundations of identified predictive keyword. Humanizing academic performance of students was not simple duty for academic area of higher education. The performance of academic in computing students throughout first year at university was revolving angle in bachelor academic lane and typically intrudes on General Point Average (GPA) in important method. The assessment of students’ elements such as assignment, quizzes, midterm and final exam, lab work was studied. In this study, the researchers will based it on Naive Bayes of data mining technique and data clustering that empowered academia. this will predicted the academic performance of student by analyzing SGPA (GPA) of students. SGPA (Semester Graded Point Average) was usually used pointer of bachelor academic performance which was various departments set least GPA that was been

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Batangas State University

College of Information and Computing Sciences maintained. Consequently, GPA static remained most shared factor used by educational organizer to evaluated evolution in bachelor academic sector. Purpose and Description The approach using Naive Bayes classifier cognitive was suggested for evaluation of student’s performance. Analyzing the performance in BSU-Mabini will help to recognize who are at the low-risk and high-risk in handling the challenges of new normal academic system. The elements measured for general evaluation of students was educational, attendance and extra curriculum activities. The information was concealed among academic data set that was extractable through data mining methods. The classification task was used to estimate performance of student and as there are many approaches that are used for data classification, Naive Bayes classifier was used as included information was extracted that defined performance of student in end semester examination. It was helped in recognized drop-out and students who needed extra care, allowed lecturer to provide appropriate counsel. In academic system, performance of student was the most severe and overlooked victims that pandemic has taught. And by using Naive Bayes Method in this study, it is way easy to understand the performance of students and distinct data well.

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Batangas State University

College of Information and Computing Sciences Objectives of the Study The main objectives of this study are to analyze the Batangas State University Mabini Students’ Performance for Today’s New Normal using Naive Bayes Algorithm . Specifically, it aims to achieve to following objectives: 1. To identify the academic performance of Batangas State University Mabini Students through the use Naive Bayes Algorithm method. 2. To generate an overview report of performances from the different courses of BSU-Mabini students which consists of: 2.1. General Engineering 2.2. Bachelor of Science Information Technology 2.3. Bachelor of Management Accountancy 2.4. Bachelor of Science Marketing Management 2.5. Bachelor of Science Development Communication

3. To provide recommendations on how to help less fortunate situations of students which they are the most severe and overlooked victims of new normal academic system that are unable to receive a proper education.

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Batangas State University

College of Information and Computing Sciences

Scope and Limitation of the Study To identify the analysis of students’ performance in today’s new normal academic system, this study focused on the SGPA (GPA) of different courses in Batangas State University Mabini Campus. Colleges have been forced to quickly implement new ideas that change the college experience as many students know it. The college experience are all come to know has changed. But how it will continue to change, how drastic the change will be and whether this change is advantageous is still an uncertainty. And by this study, it will provide recommendations on how to help less fortunate situations of students which they are the most severe and overlooked victims of new normal academic system that are unable to receive a proper education.

Definition of Terms To understand and clarify the terms used in the study, the following are hereby defined: New Normal (in education). For the new normal in education, assessments and grades should be reviewed and reimagined so that they continue to be relevant to students. Schools should deeply think about their purposes and priorities in

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Batangas State University

College of Information and Computing Sciences designing assessments or grading students. And one way of doing this new normal in education is to continuously give students feedback on their learning which can help them reflect on their strengths and find ways to improve themselves further. (Francis Jim Tuscano 2020). Covid-19 Pandemic. It is an infectious disease caused most people will experience mild to moderate respiratory illness and recover without requiring special treatment. And COVID-19 can be characterized as a pandemic. This is due to the rapid increase in the number of cases outside of Philippines and other country. (WHO 2020). Data Mining. Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more. (SAS Institute Inc. 2020). Naive Bayes Algorithm. A Naive Bayes classifier uses probability theory to classify data. Naive Bayes classifier algorithms make use of Bayes' theorem. The key insight of Bayes' theorem is that the probability of an event can be adjusted as new data is introduced. Despite the name, the more data it gets, the more accurate a naive Bayes classifier becomes, such as from a user flagging email messages in an inbox for spam. (Techopedia 2019).

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Batangas State University

College of Information and Computing Sciences GPA (General Point Average). A GPA is a number representing the average value of the accumulated final grades earned in courses over time. More commonly called a GPA, a student’s grade point average is calculated by adding up all accumulated final grades and dividing that figure by the number of grades awarded. This calculation results in a mathematical mean or average of all final grades. In public schools, grading systems and GPA scales may vary significantly from one school or school district to the next. When investigating or reporting on grading systems, class rank, or other academic honors, it is important to determine specifically how grades and GPAs are calculated, and what evaluation criteria was used to measure academic performance and award grades. (Great Schools Partnership 2014). SGPA (Semester Graded Point Average). It is the number representing the average value of the accumulated final grades earned in courses over time. More commonly called a GPA, a student's grade point average is calculated by adding up all accumulated final grades and dividing that figure by the number of grades awarded. The performance of a student in a semester is indicated by a number called the Semester Grade Point Average (SGPA). The SGPA is the weighted average of the grade points obtained in all the courses, seminars and projects registered by the student during the semester. (Law Insider 2013).

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