Learning Analytics Dashboard for Educators: Proposed Project to Design with Pedagogical Background

This project describes how to develop and support a Learning Analytics Dashboard (LAD) made for teachers. The dashboard is built on solid teaching theory and works inside online learning platforms. It looks at data about how students interact, their learning styles, and their academic progress, then gives teachers useful insights. The system’s architecture is organized into several levels and categories. This lets teachers watch student performance, spot missing pieces in teaching materials, and see overall engagement. By combining learning analytics with teaching frameworks, the dashboard helps teachers find students who need early help and shows where the online curriculum can be improved. The implementation guide shows how to display complex

student activity data and behavior patterns with clear, easy‑to‑read graphs. The framework also plans for future use of machine‑learning algorithms. These could model student behavior, classify learning styles, and predict academic results. Finally, the resource gives step‑by‑step directions for Information Technology students to design, build, and test a working LAD prototype. This supports data‑driven decisions and raises the quality of modern digital education.

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