Northern Kentucky University
Building an Adaptive Testing and Remediation System for An Elementary Programming Course (INF 120)
Grade Level at Time of Presentation
Sophomore
Major
Data Science
Minor
Biology
Institution 23-24
Northern Kentucky University
KY House District #
4
Faculty Advisor/ Mentor
Seth Adjei
Department
School of Computing and Analytics
Abstract
This research poster outlines a project focused on elevating programming learning outcomes through the implementation of a cutting-edge Computerized Adaptive Testing (CAT) system. The system, built on a three-tier architecture, integrates a Vue-based User Interface (UI), a Java-based API, and a robust Relational Database housing 16 tables for comprehensive profiling. The adaptive nature of CAT dynamically adjusts the difficulty of test items based on individual performance, ensuring a tailored assessment that maximizes precision and efficiency.
Building an Adaptive Testing and Remediation System for An Elementary Programming Course (INF 120)
This research poster outlines a project focused on elevating programming learning outcomes through the implementation of a cutting-edge Computerized Adaptive Testing (CAT) system. The system, built on a three-tier architecture, integrates a Vue-based User Interface (UI), a Java-based API, and a robust Relational Database housing 16 tables for comprehensive profiling. The adaptive nature of CAT dynamically adjusts the difficulty of test items based on individual performance, ensuring a tailored assessment that maximizes precision and efficiency.