The Utilization of Canva AI To Create In-Depth Interactive Assessments in Grade 7 Science Learning at SMPN 3 Kertosono

Abstract

This study aims to analyze the assessment pro cess that involves two-way interactions between students and the use of interactive Canva AI to measure their understanding. The research involved 28 junior high school students who participated in interactive assessments. A qualitative descriptive method was employed, using a single class as the sample. Data were collected through an interactive assessment questionnaire. The data analysis technique consisted of qualitative procedures, including data collection, data reduction, data display, and conclusion drawing. The findings reveal that students demonstrate better comprehension of the material and the intent of the questions when the assessment includes images or animations relevant to the items. Students with lower reading fluency also found it easier to understand questions when visual supports were provided. Thus, the integration of AI—particularly Canva AI—in designing interactive assessments is highly beneficial for both teachers and students. Challenges encountered include students’ limited internet data packages and mobile devices with insufficient RAM to complete interactive assessments in the Canva AI application. This study recommends teacher training in developing assessments using Canva AI to support students’ comprehension of assessment items. The study also encourages teachers to explore additional AI models to broaden digital literacy among both teachers and students.