Creating Digital Environment Using Data Analytics and AI for Evaluation: A Conceptual Study

2025 paper

The argument is made that using AI and data-driven assessment can support greater educational equity, effectiveness, and learner engagement, and the potential for learning management systems (LMSs) to provide individuals learning pathways and evidence-based instructional decision making is highlighted.

The changing needs of learners within the twenty-first century are increasingly threatening traditional practices of assessment - often limited to standardized, periodic assessments. This research examines how artificial intelligence (AI) and data analytics can change our summative and formative assessments. The paper first describes traditional assessment practices and outlines the evolution of new technologies in classrooms. The research also contemplates how AI tools enhance automated grading

Tool Types

Personalised Adaptive Learning Systems that adapt content and difficulty to individual learners.

Tags

educational assessment natural language processing