Abstract

Objective: A rule-based model using Fuzzy Unordered Rule Induction Algorithm (FURIA) aimed to be developed in this study. Methods/Statistical Analysis: This study utilized a Machine-Learning algorithm called FURIA in developing the model. Graduates of the K to 12 programs in the Philippines who enrolled in the Bachelor of Science in Information Technology in a State University were the respondents of this study. Respondents were assessed using a self-made questionnaire in basic programming using Java programming language and validated both face validation and the internal reliability test with a Cronbach alpha value of 83. Furthermore, the steps performed in this study were the variable definition and data collection, data processing and cleaning, machine-learning algorithm application, verifying and interpreting the model, and reporting the model and synthesizing. Findings: This study revealed seven (7) rule-based models with a substantial rating in Kappa statistics and a very high accuracy rating in predicting the competencies by class. Applications/ Improvements: The researcher believed the need to unveil the competence of the Senior High School graduates in the K to 12 programs of the Department of Education in the Philippines in basic programming, which aimed to retool the type of teaching strategies to fit the competencies of the student. Keywords: Basic Programming, Competence, Data Mining, Fuzzy Algorithm, Fuzzy Unordered Rule Induction Algorithm (FURIA), Machine Learning, Rule Model

Highlights

  • The basic principle in the logic formulation for developing skills in programming is an indispensable and integral function in developing analytical skills for complex problem-solving

  • Applications/ Improvements: The researcher believed the need to unveil the competence of the Senior High School graduates in the K to 12 programs of the Department of Education in the Philippines in basic programming, which aimed to retool the type of teaching strategies to fit the competencies of the student

  • Fuzzy Unordered Rule Induction Algorithm (FURIA) was used in generating rules in predicting programming competence of senior high school graduates enrolled in Programming 1 using Java Programming language as a basis for developing teaching strategies fit to their level of competence

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Summary

Introduction

The basic principle in the logic formulation for developing skills in programming is an indispensable and integral function in developing analytical skills for complex problem-solving. Many literatures claim some cognitive issues on learning computer programmings such as the definition of computer programming, levels of programming skill development, the demands of learning to program, and programming as a cognitive activity[3]. This gap showed a significant impact on the performance of the student in ICT and in the programming course itself. Fuzzy Unordered Rule Induction Algorithm Application in Basic Programming Language Competence: A Rule-Based Model of life after the graduation of senior college students with disabilities which were the stepwise multiple regression analyses[5]. It is empirical to investigate this emerging phenomenon in order to design a model based on Fuzzy Unordered Rule Induction Algorithm (FURIA)

The Rule-Based Algorithm
The RIPPER Algorithm
The FURIA Algorithm
Model Development Methodology
Variable Definition and Data Collection
Graphical Presentation of All Attributes
Data Preprocessing and Cleaning
Machine Learning Algorithm Application
Verifying and Interpreting the Model
Reporting the Model and Synthesizing
Results and Discussion
Conclusion
Predicting self-efficacy in test preparation
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13. Evaluation of Rule-Based Learning and Feature Selection
22. Predicting the Severity of Closed Source Bug Reports
39. Multicollinearity in Regression Analysis
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