Enhancing Self-Assessment through AI-Driven Questioner: AStudy on Efficacy and User Experience

Abstract

Assessments play a pivotal role in students' educational journeys, providing vital feedback on their understanding and progress. However, as learning increasingly transitions to digital platforms, traditional assessment methods often take a backseat, leaving a void in comprehensive self-assessment practices. This research explores the efficacy and user experience of enhancing self-assessment through the integration of an AI-based Questioner system in digital learning environments.In the context of self-study, where learners engage with educational content independently, the absence of structured assessments can hinder their ability to gauge comprehension and identify learning gaps. By leveraging AI-driven technologies, such as artificial intelligence (AI) and machine learning algorithms, the AIbased Questioner serves as a dynamic tool that actively engages learners in self-assessment activities while they engage with digital resources such as lectures or PDFs.This study investigates the effectiveness of AI-based self-assessment tools in comparison to traditional classroom-based assessments. It examines how students who engage in self-study, relying on AI-Based Questioner for assessment, fare in terms of learning outcomes compared to their counterparts in traditional classroom settings. Through a mixed-methods approach, incorporating quantitative analysis of user interaction data and qualitative feedback from participants, this research evaluates the impact of AI-driven interventions on learners' self-assessment practices and overall learning experiences.The findings of this study shed light on the potential of AI-based Questioner systems to enhance self-study and self-assessment practices in digital learning environments. By providing learners with personalized and timely feedback, the AI-based Questioner promotes active engagement and fosters metacognitive awareness.Ultimately, this research contributes to advancing our understanding of how technology can support learners in evaluating their own learning progress and fostering independent learning skills. By harnessing the power of AI-based Questioners, educators, and instructional designers can create more adaptive and learner-centric digital learning environments, empowering students to take ownership of their learning journeys.