Investigation of Progressive Learning within a Statics Course
An Analysis of Performance Retention, Critical Topics, and Active Participation
Bibliographic Data
| ID | 22048612 |
|---|---|
| Authors | Naveed Ahmed (0000-0001-9145-5585, University of Nevada, Las Vegas), JeeWoong Park (0000-0003-2205-6585, University of Nevada, Las Vegas, corresponding author), Cristian Arteaga (0000-0002-4852-0211, University of Nevada, Las Vegas), Haroon Stephen (0000-0003-3116-1416, University of Nevada, Las Vegas) |
| Year | 2023 |
| Volume | 13 |
| Issue | 6 |
| Pages | 576 |
| Publication date | 2023-06-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci13060576 |
| OpenAlex | W4379230004 |
| Language | EN |
| Citations received | 1 |
| References cited | 14 |
Previous research has demonstrated a link between prior knowledge and student success in engineering courses. However, while course-to-course relations exist, researchers have paid insufficient attention to internal course performance development. This study aims to address this gap—designed to quantify and thus extract meaningful insights—by examining a fundamental engineering course, Statics, from three perspectives: (1) progressive learning reflected in performance retention throughout the course; (2) critical topics and their influence on students’ performance progression; and (3) student active participation as a surrogate measure of progressive learning. By analyzing data collected from 222 students over five semesters, this study draws insights on student in-course progressive learning. The results show that early learning had significant implications in building a foundation in progressive learning throughout the semester. Additionally, insufficient knowledge on certain topics can hinder student learning progression more than others, which eventually leads to course failure. Finally, student participation is a pathway to enhance learning and achieve excellent course performance. The presented analysis approach provides educators with a mechanism for diagnosing and devising strategies to address conceptual lapses for STEM (science, technology, engineering, and mathematics) courses, especially where progressive learning is essential
Mathematics education · Computer Science · Engineering · Engineering Education and Curriculum Development · Engineering Education and Pedagogy · Experimental Learning in Engineering · Psychology · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |