| Title: |
Predictors of Student Technology Competencies in Assurance of Learning Assessment |
| Language: |
English |
| Authors: |
Melodie Philhours; Kelly E. Fish |
| Source: |
Research & Practice in Assessment. 2025 20(1):92-100. |
| Availability: |
Virginia Assessment Group.; Fax: 504-247-1232; e-mail: editor@rpajournal.com; Web site: http://www.rpajournal.com/ |
| Peer Reviewed: |
Y |
| Page Count: |
9 |
| Publication Date: |
2025 |
| Document Type: |
Journal Articles; Reports - Research |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
Technological Literacy; Success; Tests; Drills (Practice); Introductory Courses; Computer Assisted Testing; Test Wiseness; College Students; Grade Point Average |
| ISSN: |
2161-4210 |
| Abstract: |
This study leverages data from direct assessments of learning (AoL) to build a dynamic model of student performance in competency exams related to computer technology. The analysis reveals three key predictors that strongly influence student success: performance on a practice exam, whether or not a student engaged in practice testing beforehand, and prior completion of an introductory course in computer applications. These findings offer valuable insights for enhancing technology competencies in assessment contexts. The authors suggest that future research should explore a more efficient alternative--offering brief, targeted instruction paired with a practice exam--rather than the traditional requirement of a full three-hour course. This approach could streamline the learning process while maintaining or improving performance outcomes. |
| Abstractor: |
As Provided |
| Entry Date: |
2025 |
| Accession Number: |
EJ1488112 |
| Database: |
ERIC |