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Development of ADAPT: A Cognitive Diagnostic Assessment Platform Using GDINA Model for Mapping Students Conceptual Profiles in Physics Learning
Fitria Herliana- A Halim- Riza Andriani- Vina Serevina- Burhanuddin Yasin- Mailizar

Universitas Syiah Kuala


Abstract

This study aimed to develop ADAPT (Assessment for Differentiated Adaptive Planning Tools), a Cognitive Diagnostic Assessment (CDA)-based platform designed to identify and map students conceptual understanding profiles in high school physics, specifically on the topic of optics. The platform incorporates the Generalized DINA (GDINA) model to automatically map students cognitive profiles based on their response patterns. The development was carried out through the first three phases of the ADDIE model, namely Analysis, Design, and Development. Media validation was conducted by three media experts using the Aiken V formula, demonstrating a high level of media validity, while the validation of assessment items was addressed in a separate study. Practicality testing involving 128 students through a questionnaire indicated that ADAPT is highly practical for classroom use. These findings suggest that ADAPT is valid and practical as an adaptive assessment platform for diagnosing and mapping students conceptual understanding in physics learning. Further research is recommended to carry out the Implementation and Evaluation phases to examine the effectiveness of ADAPT in real classroom settings.

Keywords: Adaptive Assessment- Cognitive Diagnostic Assessment- GDINA Model- Conceptual Understanding- Physics Learning

Topic: Physics Education

Plain Format | Corresponding Author (Fitria Herliana)

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