Investigation of Academic Performance in the Analysis and Systems Development Course in Brazil: Framework for Monitoring and Evaluating Grades (Framework for Analyzing the Patterns that Influence the Progress of Students in the Early Semesters of Systems Analysis and Development Courses in Brazil)
Palavras-chave:
Academic Performance, Analysis and Development of Systems, ADS, Information and Communication Technology, ICT, Information Technology, IT, Factors of Academic Performance, Grades and Performance, Private Higher Education, Academic Performance in Subjects, Educational Challenges, Academic Support Strategies, Education in Technology, Categories of Academic Performance, Student Performance Profiles, Performance Analysis, Student Classification, Monitoring of Academic Progress, Performance Flow, Performance Stability, Academic Instability, Performance Standard, Comparison Betweeen Subjects, Relationship Between Subjects, Curricular Connection, Interdisciplinary Performance, Differences in Academic Performance, Comparative Performance Analysis, Areas of Academic Focus, Continuous Academic Monitoring, Grade Categorization, Grade Evolution Analysis, Subjects ComparisonResumo
https://doi.org/10.5281/zenodo.15701706
The course in Analysis and Systems Development (ADS) is essential to meet the growing demand in the Information and Communication Technology (ICT) market in Brazil, which seeks qualified professionals to support digital transformation. Although salaries in the ICT sector are higher than the national average, Brazil faces challenges in meeting this demand due to the limited number of graduates annually from programs such as ADS.
This study analyzes the academic performance of students in the ADS course, focusing on the factors that influence their academic progress, using grades obtained in specific subjects during the first two semesters of the course as the basis. The research was conducted at a private higher education institution, involving data from 160 enrolled students. Subjects such as "Algorithms" and "Programming Language," as well as "Information Technology" and "Systems Analysis," were analyzed, selected for their similar syllabi, allowing for performance analysis over two consecutive semesters.
The results indicated that difficulties in the first semester, especially in fundamental subjects such as "Algorithms," affect performance in subsequent subjects, suggesting the existence of patterns in the flow of academic performance. Furthermore, it was observed that performance between subjects shows important relationships, indicating that poor performance in one subject can impact other areas. The categorization of performance profiles allowed for the identification of specific student groups that may benefit from support strategies, such as enhanced teaching, remedial activities, and personalized monitoring.
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