The author proposes using algorithms, developed based on prior research, to predict students' final grades early in a course. These algorithms analyze initial test results, providing insights into a student’s current understanding of key concepts and their potential academic trajectory. By identifying performance patterns and correlating them with past outcomes, the algorithms enable data-driven predictions, helping to forecast final grades and tailor support for students.

A significant aspect of the author’s approach is its foundation in sampling theory. Some of the proposed algorithms utilize principles of this theory to ensure accurate predictions, even with limited data from early assessments. Sampling theory allows these algorithms to draw meaningful conclusions about a student’s overall potential based on representative samples of their performance. This approach increases the reliability of predictions while reducing the burden of extensive testing.

The author’s methods build on findings from previous research, highlighting the critical role of early assessments in education. Initial tests serve as a diagnostic tool, revealing both strengths and areas where students may need improvement. These insights guide educators in identifying students at risk of underperforming, enabling timely and targeted interventions such as personalized study plans, extra resources, or one-on-one support.

The proposed algorithms are designed to enhance equity and inclusivity in education. By flagging potential challenges early, they help prevent students from falling behind, particularly in large classes where individualized attention may be limited. Additionally, these tools assist educators in optimizing resource allocation, focusing efforts where they are most needed.

Supported by prior studies and grounded in robust theoretical frameworks like sampling theory, these algorithms not only predict grades but also inform effective teaching strategies. They offer actionable insights that empower educators to foster academic success, ensuring that all students, regardless of their starting point, have the opportunity to reach their full potential.

Keywords: Assessment, tests, prediction.