A Model for Enhancing Algorithmic Thinking in Programming Education using PAAM

Abstract

Most novice programmers consider learning to program as a difficult and challenging field of study for them. As a result, high dropout and failure rates in programming one courses reported. One of the reasons is that most programming (1) courses don’t give equal attention to syntax and semantics of programming language and algorithmic thinking. In this study, a web application based on Problem Analysis and Algorithmic Model (PAAM) was prepared and acquainted in the programming (1) course. The application focuses on problem analysis and algorithmic thinking. The influence on genders' opinion after offering the PAAM model in the programming (1) course determined by organizing a survey. The mean values of the male and female survey respondents compared by performing the T-test. The purpose is to determine if there is any significant difference between the mean values. Results show that students appreciated the web application in the programming (1) course. Male students discerned more positive responses in the survey questions compared to female students. The T-test result shows a significant difference between the values of respondents because the p-value for equal variances assumed is (.000), which is less than p = 0.05. The application encourages a new approach based on four steps (problem statement → problem analysis → problem-solving skills → code) for novices. The application helps students to understand programming structures, program design and comprehension.